• Research article
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  • Published: 14 December 2021

Bullying at school and mental health problems among adolescents: a repeated cross-sectional study

  • Håkan Källmén 1 &
  • Mats Hallgren   ORCID: orcid.org/0000-0002-0599-2403 2  

Child and Adolescent Psychiatry and Mental Health volume  15 , Article number:  74 ( 2021 ) Cite this article

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To examine recent trends in bullying and mental health problems among adolescents and the association between them.

A questionnaire measuring mental health problems, bullying at school, socio-economic status, and the school environment was distributed to all secondary school students aged 15 (school-year 9) and 18 (school-year 11) in Stockholm during 2014, 2018, and 2020 (n = 32,722). Associations between bullying and mental health problems were assessed using logistic regression analyses adjusting for relevant demographic, socio-economic, and school-related factors.

The prevalence of bullying remained stable and was highest among girls in year 9; range = 4.9% to 16.9%. Mental health problems increased; range = + 1.2% (year 9 boys) to + 4.6% (year 11 girls) and were consistently higher among girls (17.2% in year 11, 2020). In adjusted models, having been bullied was detrimentally associated with mental health (OR = 2.57 [2.24–2.96]). Reports of mental health problems were four times higher among boys who had been bullied compared to those not bullied. The corresponding figure for girls was 2.4 times higher.

Conclusions

Exposure to bullying at school was associated with higher odds of mental health problems. Boys appear to be more vulnerable to the deleterious effects of bullying than girls.

Introduction

Bullying involves repeated hurtful actions between peers where an imbalance of power exists [ 1 ]. Arseneault et al. [ 2 ] conducted a review of the mental health consequences of bullying for children and adolescents and found that bullying is associated with severe symptoms of mental health problems, including self-harm and suicidality. Bullying was shown to have detrimental effects that persist into late adolescence and contribute independently to mental health problems. Updated reviews have presented evidence indicating that bullying is causative of mental illness in many adolescents [ 3 , 4 ].

There are indications that mental health problems are increasing among adolescents in some Nordic countries. Hagquist et al. [ 5 ] examined trends in mental health among Scandinavian adolescents (n = 116, 531) aged 11–15 years between 1993 and 2014. Mental health problems were operationalized as difficulty concentrating, sleep disorders, headache, stomach pain, feeling tense, sad and/or dizzy. The study revealed increasing rates of adolescent mental health problems in all four counties (Finland, Sweden, Norway, and Denmark), with Sweden experiencing the sharpest increase among older adolescents, particularly girls. Worsening adolescent mental health has also been reported in the United Kingdom. A study of 28,100 school-aged adolescents in England found that two out of five young people scored above thresholds for emotional problems, conduct problems or hyperactivity [ 6 ]. Female gender, deprivation, high needs status (educational/social), ethnic background, and older age were all associated with higher odds of experiencing mental health difficulties.

Bullying is shown to increase the risk of poor mental health and may partly explain these detrimental changes. Le et al. [ 7 ] reported an inverse association between bullying and mental health among 11–16-year-olds in Vietnam. They also found that poor mental health can make some children and adolescents more vulnerable to bullying at school. Bayer et al. [ 8 ] examined links between bullying at school and mental health among 8–9-year-old children in Australia. Those who experienced bullying more than once a week had poorer mental health than children who experienced bullying less frequently. Friendships moderated this association, such that children with more friends experienced fewer mental health problems (protective effect). Hysing et al. [ 9 ] investigated the association between experiences of bullying (as a victim or perpetrator) and mental health, sleep disorders, and school performance among 16–19 year olds from Norway (n = 10,200). Participants were categorized as victims, bullies, or bully-victims (that is, victims who also bullied others). All three categories were associated with worse mental health, school performance, and sleeping difficulties. Those who had been bullied also reported more emotional problems, while those who bullied others reported more conduct disorders [ 9 ].

As most adolescents spend a considerable amount of time at school, the school environment has been a major focus of mental health research [ 10 , 11 ]. In a recent review, Saminathen et al. [ 12 ] concluded that school is a potential protective factor against mental health problems, as it provides a socially supportive context and prepares students for higher education and employment. However, it may also be the primary setting for protracted bullying and stress [ 13 ]. Another factor associated with adolescent mental health is parental socio-economic status (SES) [ 14 ]. A systematic review indicated that lower parental SES is associated with poorer adolescent mental health [ 15 ]. However, no previous studies have examined whether SES modifies or attenuates the association between bullying and mental health. Similarly, it remains unclear whether school related factors, such as school grades and the school environment, influence the relationship between bullying and mental health. This information could help to identify those adolescents most at risk of harm from bullying.

To address these issues, we investigated the prevalence of bullying at school and mental health problems among Swedish adolescents aged 15–18 years between 2014 and 2020 using a population-based school survey. We also examined associations between bullying at school and mental health problems adjusting for relevant demographic, socioeconomic, and school-related factors. We hypothesized that: (1) bullying and adolescent mental health problems have increased over time; (2) There is an association between bullying victimization and mental health, so that mental health problems are more prevalent among those who have been victims of bullying; and (3) that school-related factors would attenuate the association between bullying and mental health.

Participants

The Stockholm school survey is completed every other year by students in lower secondary school (year 9—compulsory) and upper secondary school (year 11). The survey is mandatory for public schools, but voluntary for private schools. The purpose of the survey is to help inform decision making by local authorities that will ultimately improve students’ wellbeing. The questions relate to life circumstances, including SES, schoolwork, bullying, drug use, health, and crime. Non-completers are those who were absent from school when the survey was completed (< 5%). Response rates vary from year to year but are typically around 75%. For the current study data were available for 2014, 2018 and 2020. In 2014; 5235 boys and 5761 girls responded, in 2018; 5017 boys and 5211 girls responded, and in 2020; 5633 boys and 5865 girls responded (total n = 32,722). Data for the exposure variable, bullied at school, were missing for 4159 students, leaving 28,563 participants in the crude model. The fully adjusted model (described below) included 15,985 participants. The mean age in grade 9 was 15.3 years (SD = 0.51) and in grade 11, 17.3 years (SD = 0.61). As the data are completely anonymous, the study was exempt from ethical approval according to an earlier decision from the Ethical Review Board in Stockholm (2010-241 31-5). Details of the survey are available via a website [ 16 ], and are described in a previous paper [ 17 ].

Students completed the questionnaire during a school lesson, placed it in a sealed envelope and handed it to their teacher. Student were permitted the entire lesson (about 40 min) to complete the questionnaire and were informed that participation was voluntary (and that they were free to cancel their participation at any time without consequences). Students were also informed that the Origo Group was responsible for collection of the data on behalf of the City of Stockholm.

Study outcome

Mental health problems were assessed by using a modified version of the Psychosomatic Problem Scale [ 18 ] shown to be appropriate for children and adolescents and invariant across gender and years. The scale was later modified [ 19 ]. In the modified version, items about difficulty concentrating and feeling giddy were deleted and an item about ‘life being great to live’ was added. Seven different symptoms or problems, such as headaches, depression, feeling fear, stomach problems, difficulty sleeping, believing it’s great to live (coded negatively as seldom or rarely) and poor appetite were used. Students who responded (on a 5-point scale) that any of these problems typically occurs ‘at least once a week’ were considered as having indicators of a mental health problem. Cronbach alpha was 0.69 across the whole sample. Adding these problem areas, a total index was created from 0 to 7 mental health symptoms. Those who scored between 0 and 4 points on the total symptoms index were considered to have a low indication of mental health problems (coded as 0); those who scored between 5 and 7 symptoms were considered as likely having mental health problems (coded as 1).

Primary exposure

Experiences of bullying were measured by the following two questions: Have you felt bullied or harassed during the past school year? Have you been involved in bullying or harassing other students during this school year? Alternatives for the first question were: yes or no with several options describing how the bullying had taken place (if yes). Alternatives indicating emotional bullying were feelings of being mocked, ridiculed, socially excluded, or teased. Alternatives indicating physical bullying were being beaten, kicked, forced to do something against their will, robbed, or locked away somewhere. The response alternatives for the second question gave an estimation of how often the respondent had participated in bullying others (from once to several times a week). Combining the answers to these two questions, five different categories of bullying were identified: (1) never been bullied and never bully others; (2) victims of emotional (verbal) bullying who have never bullied others; (3) victims of physical bullying who have never bullied others; (4) victims of bullying who have also bullied others; and (5) perpetrators of bullying, but not victims. As the number of positive cases in the last three categories was low (range = 3–15 cases) bully categories 2–4 were combined into one primary exposure variable: ‘bullied at school’.

Assessment year was operationalized as the year when data was collected: 2014, 2018, and 2020. Age was operationalized as school grade 9 (15–16 years) or 11 (17–18 years). Gender was self-reported (boy or girl). The school situation To assess experiences of the school situation, students responded to 18 statements about well-being in school, participation in important school matters, perceptions of their teachers, and teaching quality. Responses were given on a four-point Likert scale ranging from ‘do not agree at all’ to ‘fully agree’. To reduce the 18-items down to their essential factors, we performed a principal axis factor analysis. Results showed that the 18 statements formed five factors which, according to the Kaiser criterion (eigen values > 1) explained 56% of the covariance in the student’s experience of the school situation. The five factors identified were: (1) Participation in school; (2) Interesting and meaningful work; (3) Feeling well at school; (4) Structured school lessons; and (5) Praise for achievements. For each factor, an index was created that was dichotomised (poor versus good circumstance) using the median-split and dummy coded with ‘good circumstance’ as reference. A description of the items included in each factor is available as Additional file 1 . Socio-economic status (SES) was assessed with three questions about the education level of the student’s mother and father (dichotomized as university degree versus not), and the amount of spending money the student typically received for entertainment each month (> SEK 1000 [approximately $120] versus less). Higher parental education and more spending money were used as reference categories. School grades in Swedish, English, and mathematics were measured separately on a 7-point scale and dichotomized as high (grades A, B, and C) versus low (grades D, E, and F). High school grades were used as the reference category.

Statistical analyses

The prevalence of mental health problems and bullying at school are presented using descriptive statistics, stratified by survey year (2014, 2018, 2020), gender, and school year (9 versus 11). As noted, we reduced the 18-item questionnaire assessing school function down to five essential factors by conducting a principal axis factor analysis (see Additional file 1 ). We then calculated the association between bullying at school (defined above) and mental health problems using multivariable logistic regression. Results are presented as odds ratios (OR) with 95% confidence intervals (Cis). To assess the contribution of SES and school-related factors to this association, three models are presented: Crude, Model 1 adjusted for demographic factors: age, gender, and assessment year; Model 2 adjusted for Model 1 plus SES (parental education and student spending money), and Model 3 adjusted for Model 2 plus school-related factors (school grades and the five factors identified in the principal factor analysis). These covariates were entered into the regression models in three blocks, where the final model represents the fully adjusted analyses. In all models, the category ‘not bullied at school’ was used as the reference. Pseudo R-square was calculated to estimate what proportion of the variance in mental health problems was explained by each model. Unlike the R-square statistic derived from linear regression, the Pseudo R-square statistic derived from logistic regression gives an indicator of the explained variance, as opposed to an exact estimate, and is considered informative in identifying the relative contribution of each model to the outcome [ 20 ]. All analyses were performed using SPSS v. 26.0.

Prevalence of bullying at school and mental health problems

Estimates of the prevalence of bullying at school and mental health problems across the 12 strata of data (3 years × 2 school grades × 2 genders) are shown in Table 1 . The prevalence of bullying at school increased minimally (< 1%) between 2014 and 2020, except among girls in grade 11 (2.5% increase). Mental health problems increased between 2014 and 2020 (range = 1.2% [boys in year 11] to 4.6% [girls in year 11]); were three to four times more prevalent among girls (range = 11.6% to 17.2%) compared to boys (range = 2.6% to 4.9%); and were more prevalent among older adolescents compared to younger adolescents (range = 1% to 3.1% higher). Pooling all data, reports of mental health problems were four times more prevalent among boys who had been victims of bullying compared to those who reported no experiences with bullying. The corresponding figure for girls was two and a half times as prevalent.

Associations between bullying at school and mental health problems

Table 2 shows the association between bullying at school and mental health problems after adjustment for relevant covariates. Demographic factors, including female gender (OR = 3.87; CI 3.48–4.29), older age (OR = 1.38, CI 1.26–1.50), and more recent assessment year (OR = 1.18, CI 1.13–1.25) were associated with higher odds of mental health problems. In Model 2, none of the included SES variables (parental education and student spending money) were associated with mental health problems. In Model 3 (fully adjusted), the following school-related factors were associated with higher odds of mental health problems: lower grades in Swedish (OR = 1.42, CI 1.22–1.67); uninteresting or meaningless schoolwork (OR = 2.44, CI 2.13–2.78); feeling unwell at school (OR = 1.64, CI 1.34–1.85); unstructured school lessons (OR = 1.31, CI = 1.16–1.47); and no praise for achievements (OR = 1.19, CI 1.06–1.34). After adjustment for all covariates, being bullied at school remained associated with higher odds of mental health problems (OR = 2.57; CI 2.24–2.96). Demographic and school-related factors explained 12% and 6% of the variance in mental health problems, respectively (Pseudo R-Square). The inclusion of socioeconomic factors did not alter the variance explained.

Our findings indicate that mental health problems increased among Swedish adolescents between 2014 and 2020, while the prevalence of bullying at school remained stable (< 1% increase), except among girls in year 11, where the prevalence increased by 2.5%. As previously reported [ 5 , 6 ], mental health problems were more common among girls and older adolescents. These findings align with previous studies showing that adolescents who are bullied at school are more likely to experience mental health problems compared to those who are not bullied [ 3 , 4 , 9 ]. This detrimental relationship was observed after adjustment for school-related factors shown to be associated with adolescent mental health [ 10 ].

A novel finding was that boys who had been bullied at school reported a four-times higher prevalence of mental health problems compared to non-bullied boys. The corresponding figure for girls was 2.5 times higher for those who were bullied compared to non-bullied girls, which could indicate that boys are more vulnerable to the deleterious effects of bullying than girls. Alternatively, it may indicate that boys are (on average) bullied more frequently or more intensely than girls, leading to worse mental health. Social support could also play a role; adolescent girls often have stronger social networks than boys and could be more inclined to voice concerns about bullying to significant others, who in turn may offer supports which are protective [ 21 ]. Related studies partly confirm this speculative explanation. An Estonian study involving 2048 children and adolescents aged 10–16 years found that, compared to girls, boys who had been bullied were more likely to report severe distress, measured by poor mental health and feelings of hopelessness [ 22 ].

Other studies suggest that heritable traits, such as the tendency to internalize problems and having low self-esteem are associated with being a bully-victim [ 23 ]. Genetics are understood to explain a large proportion of bullying-related behaviors among adolescents. A study from the Netherlands involving 8215 primary school children found that genetics explained approximately 65% of the risk of being a bully-victim [ 24 ]. This proportion was similar for boys and girls. Higher than average body mass index (BMI) is another recognized risk factor [ 25 ]. A recent Australian trial involving 13 schools and 1087 students (mean age = 13 years) targeted adolescents with high-risk personality traits (hopelessness, anxiety sensitivity, impulsivity, sensation seeking) to reduce bullying at school; both as victims and perpetrators [ 26 ]. There was no significant intervention effect for bullying victimization or perpetration in the total sample. In a secondary analysis, compared to the control schools, intervention school students showed greater reductions in victimization, suicidal ideation, and emotional symptoms. These findings potentially support targeting high-risk personality traits in bullying prevention [ 26 ].

The relative stability of bullying at school between 2014 and 2020 suggests that other factors may better explain the increase in mental health problems seen here. Many factors could be contributing to these changes, including the increasingly competitive labour market, higher demands for education, and the rapid expansion of social media [ 19 , 27 , 28 ]. A recent Swedish study involving 29,199 students aged between 11 and 16 years found that the effects of school stress on psychosomatic symptoms have become stronger over time (1993–2017) and have increased more among girls than among boys [ 10 ]. Research is needed examining possible gender differences in perceived school stress and how these differences moderate associations between bullying and mental health.

Strengths and limitations

Strengths of the current study include the large participant sample from diverse schools; public and private, theoretical and practical orientations. The survey included items measuring diverse aspects of the school environment; factors previously linked to adolescent mental health but rarely included as covariates in studies of bullying and mental health. Some limitations are also acknowledged. These data are cross-sectional which means that the direction of the associations cannot be determined. Moreover, all the variables measured were self-reported. Previous studies indicate that students tend to under-report bullying and mental health problems [ 29 ]; thus, our results may underestimate the prevalence of these behaviors.

In conclusion, consistent with our stated hypotheses, we observed an increase in self-reported mental health problems among Swedish adolescents, and a detrimental association between bullying at school and mental health problems. Although bullying at school does not appear to be the primary explanation for these changes, bullying was detrimentally associated with mental health after adjustment for relevant demographic, socio-economic, and school-related factors, confirming our third hypothesis. The finding that boys are potentially more vulnerable than girls to the deleterious effects of bullying should be replicated in future studies, and the mechanisms investigated. Future studies should examine the longitudinal association between bullying and mental health, including which factors mediate/moderate this relationship. Epigenetic studies are also required to better understand the complex interaction between environmental and biological risk factors for adolescent mental health [ 24 ].

Availability of data and materials

Data requests will be considered on a case-by-case basis; please email the corresponding author.

Code availability

Not applicable.

Olweus D. School bullying: development and some important challenges. Ann Rev Clin Psychol. 2013;9(9):751–80. https://doi.org/10.1146/annurev-clinpsy-050212-185516 .

Article   Google Scholar  

Arseneault L, Bowes L, Shakoor S. Bullying victimization in youths and mental health problems: “Much ado about nothing”? Psychol Med. 2010;40(5):717–29. https://doi.org/10.1017/S0033291709991383 .

Article   CAS   PubMed   Google Scholar  

Arseneault L. The long-term impact of bullying victimization on mental health. World Psychiatry. 2017;16(1):27–8. https://doi.org/10.1002/wps.20399 .

Article   PubMed   PubMed Central   Google Scholar  

Moore SE, Norman RE, Suetani S, Thomas HJ, Sly PD, Scott JG. Consequences of bullying victimization in childhood and adolescence: a systematic review and meta-analysis. World J Psychiatry. 2017;7(1):60–76. https://doi.org/10.5498/wjp.v7.i1.60 .

Hagquist C, Due P, Torsheim T, Valimaa R. Cross-country comparisons of trends in adolescent psychosomatic symptoms—a Rasch analysis of HBSC data from four Nordic countries. Health Qual Life Outcomes. 2019;17(1):27. https://doi.org/10.1186/s12955-019-1097-x .

Deighton J, Lereya ST, Casey P, Patalay P, Humphrey N, Wolpert M. Prevalence of mental health problems in schools: poverty and other risk factors among 28 000 adolescents in England. Br J Psychiatry. 2019;215(3):565–7. https://doi.org/10.1192/bjp.2019.19 .

Article   PubMed Central   Google Scholar  

Le HTH, Tran N, Campbell MA, Gatton ML, Nguyen HT, Dunne MP. Mental health problems both precede and follow bullying among adolescents and the effects differ by gender: a cross-lagged panel analysis of school-based longitudinal data in Vietnam. Int J Ment Health Syst. 2019. https://doi.org/10.1186/s13033-019-0291-x .

Bayer JK, Mundy L, Stokes I, Hearps S, Allen N, Patton G. Bullying, mental health and friendship in Australian primary school children. Child Adolesc Ment Health. 2018;23(4):334–40. https://doi.org/10.1111/camh.12261 .

Article   PubMed   Google Scholar  

Hysing M, Askeland KG, La Greca AM, Solberg ME, Breivik K, Sivertsen B. Bullying involvement in adolescence: implications for sleep, mental health, and academic outcomes. J Interpers Violence. 2019. https://doi.org/10.1177/0886260519853409 .

Hogberg B, Strandh M, Hagquist C. Gender and secular trends in adolescent mental health over 24 years—the role of school-related stress. Soc Sci Med. 2020. https://doi.org/10.1016/j.socscimed.2020.112890 .

Kidger J, Araya R, Donovan J, Gunnell D. The effect of the school environment on the emotional health of adolescents: a systematic review. Pediatrics. 2012;129(5):925–49. https://doi.org/10.1542/peds.2011-2248 .

Saminathen MG, Låftman SB, Modin B. En fungerande skola för alla: skolmiljön som skyddsfaktor för ungas psykiska välbefinnande. [A functioning school for all: the school environment as a protective factor for young people’s mental well-being]. Socialmedicinsk tidskrift [Soc Med]. 2020;97(5–6):804–16.

Google Scholar  

Bibou-Nakou I, Tsiantis J, Assimopoulos H, Chatzilambou P, Giannakopoulou D. School factors related to bullying: a qualitative study of early adolescent students. Soc Psychol Educ. 2012;15(2):125–45. https://doi.org/10.1007/s11218-012-9179-1 .

Vukojevic M, Zovko A, Talic I, Tanovic M, Resic B, Vrdoljak I, Splavski B. Parental socioeconomic status as a predictor of physical and mental health outcomes in children—literature review. Acta Clin Croat. 2017;56(4):742–8. https://doi.org/10.20471/acc.2017.56.04.23 .

Reiss F. Socioeconomic inequalities and mental health problems in children and adolescents: a systematic review. Soc Sci Med. 2013;90:24–31. https://doi.org/10.1016/j.socscimed.2013.04.026 .

Stockholm City. Stockholmsenkät (The Stockholm Student Survey). 2021. https://start.stockholm/aktuellt/nyheter/2020/09/presstraff-stockholmsenkaten-2020/ . Accessed 19 Nov 2021.

Zeebari Z, Lundin A, Dickman PW, Hallgren M. Are changes in alcohol consumption among swedish youth really occurring “in concert”? A new perspective using quantile regression. Alc Alcohol. 2017;52(4):487–95. https://doi.org/10.1093/alcalc/agx020 .

Hagquist C. Psychometric properties of the PsychoSomatic Problems Scale: a Rasch analysis on adolescent data. Social Indicat Res. 2008;86(3):511–23. https://doi.org/10.1007/s11205-007-9186-3 .

Hagquist C. Ungas psykiska hälsa i Sverige–komplexa trender och stora kunskapsluckor [Young people’s mental health in Sweden—complex trends and large knowledge gaps]. Socialmedicinsk tidskrift [Soc Med]. 2013;90(5):671–83.

Wu W, West SG. Detecting misspecification in mean structures for growth curve models: performance of pseudo R(2)s and concordance correlation coefficients. Struct Equ Model. 2013;20(3):455–78. https://doi.org/10.1080/10705511.2013.797829 .

Holt MK, Espelage DL. Perceived social support among bullies, victims, and bully-victims. J Youth Adolscence. 2007;36(8):984–94. https://doi.org/10.1007/s10964-006-9153-3 .

Mark L, Varnik A, Sisask M. Who suffers most from being involved in bullying-bully, victim, or bully-victim? J Sch Health. 2019;89(2):136–44. https://doi.org/10.1111/josh.12720 .

Tsaousis I. The relationship of self-esteem to bullying perpetration and peer victimization among schoolchildren and adolescents: a meta-analytic review. Aggress Violent Behav. 2016;31:186–99. https://doi.org/10.1016/j.avb.2016.09.005 .

Veldkamp SAM, Boomsma DI, de Zeeuw EL, van Beijsterveldt CEM, Bartels M, Dolan CV, van Bergen E. Genetic and environmental influences on different forms of bullying perpetration, bullying victimization, and their co-occurrence. Behav Genet. 2019;49(5):432–43. https://doi.org/10.1007/s10519-019-09968-5 .

Janssen I, Craig WM, Boyce WF, Pickett W. Associations between overweight and obesity with bullying behaviors in school-aged children. Pediatrics. 2004;113(5):1187–94. https://doi.org/10.1542/peds.113.5.1187 .

Kelly EV, Newton NC, Stapinski LA, Conrod PJ, Barrett EL, Champion KE, Teesson M. A novel approach to tackling bullying in schools: personality-targeted intervention for adolescent victims and bullies in Australia. J Am Acad Child Adolesc Psychiatry. 2020;59(4):508. https://doi.org/10.1016/j.jaac.2019.04.010 .

Gunnell D, Kidger J, Elvidge H. Adolescent mental health in crisis. BMJ. 2018. https://doi.org/10.1136/bmj.k2608 .

O’Reilly M, Dogra N, Whiteman N, Hughes J, Eruyar S, Reilly P. Is social media bad for mental health and wellbeing? Exploring the perspectives of adolescents. Clin Child Psychol Psychiatry. 2018;23:601–13.

Unnever JD, Cornell DG. Middle school victims of bullying: who reports being bullied? Aggr Behav. 2004;30(5):373–88. https://doi.org/10.1002/ab.20030 .

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Acknowledgements

Authors are grateful to the Department for Social Affairs, Stockholm, for permission to use data from the Stockholm School Survey.

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HK conceived the study and analyzed the data (with input from MH). HK and MH interpreted the data and jointly wrote the manuscript. All authors read and approved the final manuscript.

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Principal factor analysis description.

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Källmén, H., Hallgren, M. Bullying at school and mental health problems among adolescents: a repeated cross-sectional study. Child Adolesc Psychiatry Ment Health 15 , 74 (2021). https://doi.org/10.1186/s13034-021-00425-y

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Bullying: issues and challenges in prevention and intervention

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Bullying is a public health issue that persists and occurs across several contexts. In this narrative review, we highlight issues and challenges in addressing bullying prevention. Specifically, we discuss issues related to defining, measuring, and screening for bullying. These include discrepancies in the interpretation and measurement of power imbalance, repetition of behavior, and perceptions of the reporter. The contexts of bullying, both within and outside of the school setting (including the online environment), are raised as an important issue relevant for identification and prevention. The role of medical professionals in screening for bullying is also noted. Prevention and intervention approaches are reviewed, and we highlight the need and evidence for social architectural interventions that involve multiple stakeholders, including parents, in these efforts. Areas in need are identified, such as understanding and intervening in cyberbullying, working more specifically with perpetrators as a heterogeneous group, and providing more intensive interventions for the most vulnerable youth who remain at risk despite universal prevention efforts.

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This manuscript does not involve patient data. This is a review based on the published literature.

Allen, K. P. (2010a). A bullying intervention system in high school: A two-year school-wide follow-up. Studies in Educational Evaluation, 36 (3), 83–92. https://doi.org/10.1016/j.stueduc.2011.01.002

Article   Google Scholar  

Allen, K. P. (2010b). A bullying intervention system: Reducing risk and creating support for aggressive students. Preventing School Failure, 54 (3), 199–209. https://doi.org/10.1080/10459880903496289

American Educational Research Association (2013). Prevention of bullying in schools, colleges, and universities: Research report and recommendations . https://www.aera.net/Education-Research/Issues-and-Initiatives/Bullying-Prevention-and-School-Safety/Bullying-Prevention

Axford, N., Bjornstad, G., Clarkson, S., Ukoumunne, O. C., Wrigley, Z., Matthews, J., Berry, V., & Hutchings, J. (2020). The effectiveness of the KiVa bullying prevention program in Wales, UK: Results from a pragmatic cluster randomized controlled trial. Prevention Science, 21 (5), 615–626. https://doi.org/10.1007/s11121-020-01103-9

Article   PubMed   PubMed Central   Google Scholar  

Baldry, A. C., & Farrington, D. P. (2007). Effectiveness of programs to prevent school bullying. Victims & Offenders, 2 (2), 183–204. https://doi.org/10.1080/15564880701263155

Barboza, G. E., Schiamberg, L. B., Oehmke, J., Korzeniewski, S. J., Post, L. A., & Heraux, C. G. (2009). Individual characteristics and the multiple contexts of adolescent bullying: An ecological perspective. Journal of Youth and Adolescence, 38 (1), 101–121. https://doi.org/10.1007/s10964-008-9271-1

Article   PubMed   Google Scholar  

Bauman, S. (2016). Do we need more measures of bullying? The Journal of Adolescent Health, 59 (5), 487–488. https://doi.org/10.1016/j.jadohealth.2016.08.021

Bear, G. G., Mantz, L. S., Glutting, J. J., Yang, C., & Boyer, D. E. (2015). Differences in bullying victimization between students with and without disabilities. School Psychology Review, 44 (1), 98–116. https://doi.org/10.17105/SPR44-1.98-116

Blake, J. J., Lund, E. M., Zhou, Q., Kwok, O. M., & Benz, M. R. (2012). National prevalence rates of bully victimization among students with disabilities in the United States. School Psychology Quarterly, 27 (4), 210–222. https://doi.org/10.1037/spq0000008

Borgen, N. T., Olweus, D., Kirkebøen, L. J., Breivik, K., Solberg, M. E., Frønes, I., Cross, D., & Raaum, O. (2021). The potential of anti-bullying efforts to prevent academic failure and youth crime. A case using the Olweus bullying prevention program (OBPP). Prevention Science, 22 , 1147–1158. https://doi.org/10.1007/s11121-021-01254-3

Bostic, J. Q., & Brunt, C. C. (2011). Cornered: An approach to school bullying and cyberbullying, and forensic implications. Child and Adolescent Psychiatric Clinics of North America, 20 (3), 447–465. https://doi.org/10.1016/j.chc.2011.03.004

Bradshaw, C. P. (2015). Translating research to practice in bullying prevention. American Psychologist, 70 (4), 322–332. https://doi.org/10.1037/a0039114

Camodeca, M., & Nava, E. (2022). The long-term effects of bullying, victimization, and bystander behavior on emotion regulation and its physiological correlates. Journal of Interpersonal Violence, 37 (3–4), NP2056–NP2075. https://doi.org/10.1177/0886260520934438

Carter, S. (2011). Bullies and power: A look at the research. Issues in Comprehensive Pediatric Nursing, 34 (2), 97–102. https://doi.org/10.3109/01460862.2011.574455

Cascardi, M., Brown, C., Iannarone, M., & Cardona, N. (2014). The problem with overly broad definitions of bullying: Implications for the schoolhouse, the statehouse, and the ivory tower. Journal of School Violence, 13 (3), 253–276. https://doi.org/10.1080/15388220.2013.846861

Chen, Q., Zhu, Y., & Chui, W. H. (2021). A meta-analysis on the effects of parenting programs on bullying prevention. Trauma, Violence & Abuse, 22 (5), 1209–1220. https://doi.org/10.1177/1524838020915619

Cheng, Y. Y., Chen, L. M., Ho, H. C., & Cheng, C. L. (2011). Definitions of school bullying in Taiwan: A comparison of multiple perspectives. School Psychology International, 32 (3), 227–243. https://doi.org/10.1177/0143034313479694

Cook, C. R., Williams, K. R., Guerra, N. G., Kim, T. E., & Sadek, S. (2010). Predictors of bullying and victimization in childhood and adolescence: A meta-analytic investigation. School Psychology Quarterly, 25 (2), 65–83. https://doi.org/10.1037/a0020149

Cosgrove, H., & Nickerson, A. B. (2015). Anti-bullying/harassment legislation and educator perceptions of severity, effectiveness, and school climate: A cross-sectional analysis. Educational Policy, 31 (4), 518–545. https://doi.org/10.1177/0895904815604217

Dale, J., Russell, R., & Wolke, D. (2014). Intervening in primary care against childhood bullying: An increasingly pressing public health need. Journal of the Royal Society of Medicine, 107 (6), 219–223. https://doi.org/10.1177/0141076814525071

Deshmukh, P., & Kaplan, S. (2018). Bullying as a risk factor for inpatient hospitalization: Let’s change it! Journal of the American Academy of Child & Adolescent Psychiatry, 57 (10), S260–S260. https://doi.org/10.1016/j.jaac.2018.09.397

Durlak, J. A., Weissberg, R. P., Dymnicki, A. B., Taylor, R. D., & Schellinger, K. B. (2011). The impact of enhancing students' social and emotional learning: A meta-analysis of school-based universal interventions. Child Development, 82 (1), 405–432. https://doi.org/10.1111/j.1467-8624.2010.01564.x

Espelage, D. L., & Swearer, S. M. (2003). Research on school bullying and victimization: What have we learned and where do we go from here? School Psychology Review, 32 (3), 365–383. https://doi.org/10.1080/02796015.2003.12086206

Espelage, D. L., Low, S., Polanin, J. R., & Brown, E. C. (2013). The impact of a middle school program to reduce aggression, victimization, and sexual violence. The Journal of Adolescent Health, 53 (2), 180–186. https://doi.org/10.1016/j.jadohealth.2013.02.021

Espelage, D. L., Low, S., Van Ryzin, M. J., & Polanin, J. R. (2015). Clinical trial of second step middle school program: Impact on bullying, cyberbullying, homophobic teasing, and sexual harassment perpetration. School Psychology Review, 44 (4), 464–479. https://doi.org/10.17105/spr-15-0052.1

Farrington, D. P., & Ttofi, M. M. (2009). School-based programs to reduce bullying and victimization. Campbell Systematic Reviews, 5 (1), 148. https://doi.org/10.4073/csr.2009.6

Farrington, D. P., & Ttofi, M. M. (2011). Bullying as a predictor of offending, violence and later life outcomes. Criminal Behaviour and Mental Health, 21 (2), 90–98. https://doi.org/10.1002/cbm.801

Felix, E. D., Sharkey, J. D., Green, J. G., Furlong, M. J., & Tanigawa, D. (2011). Getting precise and pragmatic about the assessment of bullying: The development of the California bullying victimization scale. Aggressive Behavior, 37 (3), 234–247. https://doi.org/10.1002/ab.20389

Fredrick, S. S., Nickerson, A. B., & Livingston, J. A. (2021). Family cohesion and the relations among peer victimization and depression: A random intercepts cross-lagged model. Development and Psychopathology, 34 (4), 1429–1446. https://doi.org/10.1017/S095457942100016X

Frey, K. S., Hirschstein, M. K., Snell, J. L., Edstrom, L. V., MacKenzie, E. P., & Broderick, C. J. (2005). Reducing playground bullying and supporting beliefs: An experimental trial of the steps to respect program. Developmental Psychology, 41 (3), 479–490. https://doi.org/10.1037/0012-1649.41.3.479

Frey, K. S., Hirschstein, M. K., Edstrom, L. V., & Snell, J. L. (2009). Observed reductions in school bullying, nonbullying aggression and destructive bystander behavior: A longitudinal evaluation. Journal of Educational Psychology, 101 (2), 466–481. https://doi.org/10.1037/a0013839

Gaffney, H., Farrington, D. P., Espelage, D. L., & Ttofi, M. M. (2019a). Are cyberbullying intervention and prevention programs effective? A systematic and meta-analytical review. Aggression and Violent Behavior, 45 , 134–153. https://doi.org/10.1016/j.avb.2018.07.002

Gaffney, H., Ttofi, M., & Farrington, D. (2019b). Evaluating the effectiveness of school-bullying prevention programs: An updated meta-analytical review. Aggression and Violent Behavior, 45 , 111–133. https://doi.org/10.1016/j.avb.2018.07.001

Garandeau, C. F., Poskiparta, E., & Salmivalli, C. (2014). Tackling acute cases of school bullying in the KiVa anti-bullying program: A comparison of two approaches. Journal of Abnormal Child Psychology, 42 (6), 981–991. https://doi.org/10.1007/s10802-014-9861-1

Garandeau, C. F., Vartio, A., Poskiparta, E., & Salmivalli, C. (2016). School bullies' intention to change behavior following teacher interventions: Effects of empathy arousal, condemning of bullying, and blaming of the perpetrator. Prevention Science, 17 (8), 1034–1043. https://doi.org/10.1007/s11121-016-0712-x

Garandeau, C. F., Lee, I. A., & Salmivalli, C. (2018). Decreases in the proportion of bullying victims in the classroom: Effects on the adjustment of remaining victims. International Journal of Behavioral Development, 42 (1), 64–72. https://doi.org/10.1177/0165025416667492

Gladden, R. M., Vivolo-Kantor, A. M., Hamburger, M. E., & Lumpkin, C. D. (2014). Bullying surveillance among youths: Uniform definitions for public health and recommended data elements, version 1.0 . National Center for Injury Prevention and Control, Centers for Disease Control and Prevention and U.S. Department of Education. Retrieved October 23, 2021, from https://www.cdc.gov/violenceprevention/pdf/bullying-definitions-final-a.pdf

Gómez Baya, D., Rubio Gónzalez, A., & Gaspar de Matos, M. (2018). Online communication, peer relationships and school victimisation: A one-year longitudinal study during middle adolescence. International Journal of Adolescence and Youth, 24 (2), 199–211. https://doi.org/10.1080/02673843.2018.1509793

Good, C. P., McIntosh, K., & Gietz, C. (2011). Integrating bullying prevention into schoolwide positive behavior support. Teaching Exceptional Children, 244 , 48–56. https://doi.org/10.1177/004005991104400106

Hagan, J. F., Shaw, J. S., & Duncan, P. M. (Eds.) (2017). Bright futures: Guidelines for health supervision of infants, children, and adolescents (4th Ed) . American Academy of Pediatrics. https://brightfutures.aap.org/Bright%20Futures%20Documents/BF4_Introduction.pdf

Hall, W. (2017). The effectiveness of policy interventions for school bullying: A systematic review. Journal of the Society for Social Work and Research, 8 (1), 45–69. https://doi.org/10.1086/690565

Hatzenbuehler, M. L., Schwab-Reese, L., Ranapurwala, S. I., Hertz, M. F., & Ramirez, M. R. (2015). Associations between antibullying policies and bullying in 25 states. JAMA Pediatrics, 169 (10), e152411. https://doi.org/10.1001/jamapediatrics.2015.2411

Hensley, V. (2015). Childhood bullying: Assessment practices and predictive factors associated with assessing for bullying by health care providers . University of Kentucky, Lexington, KY (Doctoral dissertation). Retrieved October 23, 2021 from https://uknowledge.uky.edu/nursing_etds/25

Hinduja, S., & Patchin, J. W. (2015). Bullying beyond the schoolyard: Preventing and responding to cyberbullying (2nd ed.). Sage Publications.

Google Scholar  

Hong, J. S., & Espelage, D. L. (2012). A review of research on bullying and peer victimization in school: An ecological system analysis. Aggression and Violent Behavior, 17 (4), 311–322. https://doi.org/10.1016/j.avb.2012.03.003

Huang, Y., Espelage, D. L., Polanin, J. R., & Hong, J. S. (2019). A meta-analytic review of school-based anti-bullying programs with a parent component. International Journal of Bullying Prevention, 1 (1), 32–44. https://doi.org/10.1007/s42380-018-0002-1

Huitsing, G., Lodder, G. M. A., Browne, W. J., Oldenburg, B., Van der Ploeg, R., & Veenstra, R. (2020). A large-scale replication of the effectiveness of the KiVa Antibullying program: A randomized controlled trial in the Netherlands. Prevention Science, 21 (5), 627–638. https://doi.org/10.1007/s11121-020-01116-4

Hutson, E., Melnyk, B., Hensley, V., & Sinnott, L. T. (2019). Childhood bullying: Screening and intervening practices of pediatric primary care providers. Journal of Pediatric Health Care, 33 (6), e39–e45. https://doi.org/10.1016/j.pedhc.2019.07.003

Ireland, J. L. (2000). "bullying" among prisoners: A review of research. Aggression and Violent Behavior, 5 (2), 201–215. https://doi.org/10.1016/S1359-1789(98)00031-7

Kärnä, A., Voeten, M., Little, T. D., Poskiparta, E., Alanen, E., & Salmivalli, C. (2011). Going to scale: A nonrandomized nationwide trial of the KiVa antibullying program for grades 1–9. Journal of Consulting and Clinical Psychology, 79 , 796–805. https://doi.org/10.1037/a0025740

Kert, A. S., Codding, R. S., Tryon, G. S., & Shiyko, M. (2010). Impact of the word “bully” on the reported rate of bullying behavior. Psychology in the Schools, 47 (2), 193–204. https://doi.org/10.1002/pits.20464

Kowalski, R. M., Giumetti, G. W., Schroeder, A. N., & Lattanner, M. R. (2014). Bullying in the digital age: A critical review and meta-analysis of cyberbullying research among youth. Psychological Bulletin, 140 (4), 1073–1137. https://doi.org/10.1037/a0035618

Koyanagi, A., Oh, H., Carvalho, A. F., Smith, L., Haro, J. M., Vancampfort, D., Stubbs, B., & DeVylder, J. E. (2019). Bullying victimization and suicide attempt among adolescents aged 12-15 years from 48 countries. Journal of the American Academy of Child and Adolescent Psychiatry, 58 (9), 907–918.e4. https://doi.org/10.1016/j.jaac.2018.10.018

Lereya, S. T., Copeland, W. E., Costello, E. J., & Wolke, D. (2015). Adult mental health consequences of peer bullying and maltreatment in childhood: Two cohorts in two countries. The Lancet Psychiatry, 2 (6), 524–531. https://doi.org/10.1016/S2215-0366(15)00165-0

Lund, E. M., & Ross, S. W. (2017). Bullying perpetration, victimization, and demographic differences in college students: A review of the literature. Trauma, Violence & Abuse, 18 (3), 348–360. https://doi.org/10.1177/1524838015620818

Merrell, K. W., Gueldner, B. A., Ross, S. W., & Isava, D. M. (2008). How effective are school bullying intervention programs? A meta-analysis of intervention research. School Psychology Quarterly, 23 (1), 26–42. https://doi.org/10.1037/1045-3830.23.1.26

Mishna, F. (2004). A qualitative study of bullying from multiple perspectives. Children & Schools, 26 (4), 234–247. https://doi.org/10.1093/cs/26.4.234

Mishna, F., Pepler, D., & Wiener, J. (2006). Factors associated with perceptions and responses to bullying situations by children, parents, teachers, and principals. Victims & Offenders, 1 (3), 255–288. https://doi.org/10.1080/15564880600626163

Monks, C. P., Smith, P. K., Naylor, P., Barter, C., Ireland, J. L., & Coyne, I. (2009). Bullying in different contexts: Commonalities, differences, and the role of theory. Aggression and Violent Behavior, 14 , 146–156. https://doi.org/10.1016/j.avb.2009.01.004

Morcillo, C., Ramos-Olazagasti, M. A., Blanco, C., Sala, R., Canino, G., Bird, H., & Duarte, C. S. (2015). Socio-cultural context and bullying others in childhood. Journal of Child and Family Studies, 24 (8), 2241–2249. https://doi.org/10.1007/s10826-014-0026-1

Moreno, M. A., Suthamjariya, N., & Selkie, E. (2018). Stakeholder perceptions of cyberbullying cases: Application of the uniform definition of bullying. The Journal of Adolescent Health, 62 (4), 444–449. https://doi.org/10.1016/j.jadohealth.2017.11.289

Musu, L., Zhang, A., Wang, K., Zhang, J., & Oudekerk, B. A. (2019). Indicators of school crime and safety: 2018 (NCES 2019–047/NCJ 252571). National Center for Education Statistics, U.S. Department of Education, and Bureau of Justice Statistics, Office of Justice Programs, U.S. Department of Justice. https://nces.ed.gov/pubs2019/2019047.pdf

Nelson, H. J., Burns, S. K., Kendall, G. E., & Schonert-Reichl, K. A. (2019). Preadolescent children's perception of power imbalance in bullying: A thematic analysis. PLoS One, 14 (3), e0211124. https://doi.org/10.1371/journal.pone.0211124

Nickerson, A. B. (2019). Preventing and intervening with bullying in schools: A framework for evidence-based practice. School Mental Health, 11 (4), 15–28. https://doi.org/10.1007/s12310-017-9221-8

Nickerson, A. B., Fredrick, S. S., Allen, K. P., & Jenkins, L. N. (2019). Social emotional learning (SEL) practices in schools: Effects on perceptions of bullying victimization. Journal of School Psychology, 73 , 74–88. https://doi.org/10.1016/j.jsp.2019.03.002

Nocentini, A., & Menesini, E. (2016). KiVa anti-bullying program in Italy: Evidence of effectiveness in a randomized control trial. Prevention Science, 17 (8), 1012–1023. https://doi.org/10.1007/s11121-016-0690-z

Office of the Surgeon General (2023). Social media and youth mental health: The U.S. Surgeon General’s advisory . U.S. Department of Health and Human Services. https://www.hhs.gov/sites/default/files/sg-youth-mental-health-social-media-advisory.pdf

Olweus, D. (1993). Bullying at school: What we know and what we can do . Blackwell Publishing.

Olweus, D., & Limber, S. P. (2018). Some problems with cyberbullying research. Current Opinion in Psychology, 19 , 139–143. https://doi.org/10.1016/j.copsyc.2017.04.012

Peeters, M., Cillessen, A. H., & Scholte, R. H. (2010). Clueless or powerful? Identifying subtypes of bullies in adolescence. Journal of Youth and Adolescence, 39 (9), 1041–1052. https://doi.org/10.1007/s10964-009-9478-9

Pepler, D. J. (2006). Bullying interventions: A binocular perspective. Journal of the Canadian Academy of Child and Adolescent Psychiatry, 15 (1), 16–20.

PubMed   PubMed Central   Google Scholar  

Pepler, D., Jiang, D., Craig, W., & Connolly, J. (2008). Developmental trajectories of bullying and associated factors. Child Development, 79 (2), 325–338. https://doi.org/10.1111/j.1467-8624.2007.01128.x

Perren, S., & Gutzwiller-Helfenfinger, E. (2012). Cyberbullying and traditional bullying in adolescence: Differential roles of moral disengagement, moral emotions, and moral values. European Journal of Developmental Psychology, 9 (2), 195–209. https://doi.org/10.1080/17405629.2011.643168

Petrosino, A., Guckenburg, S., DeVoe, J., & Hanson, T. (2010). What characteristics of bullying, bullying victims, and schools are associated with increased reporting of bullying to school officials? (Issues & Answers Report, REL 2010–No. 092). U.S. Department of Education, Institute of Education Sciences, National Center for Education Evaluation and Regional Assistance, Regional Educational Laboratory Northeast and Islands. August 2010. https://ies.ed.gov/ncee/edlabs/regions/northeast/pdf/REL_2010092_sum.pdf

Polanin, J. R., Espelage, D. L., & Pigott, T. D. (2012). A meta-analysis of school-based bullying prevention programs’ effects on bystander intervention behavior. School Psychology Review, 41 (1), 47–65. https://doi.org/10.1080/02796015.2012.12087375

Polanin, J. R., Espelage, D. L., Grotpeter, J. K., Ingram, K., Michaelson, L., Spinney, E., Valido, A., Sheikh, A. E., Torgal, C., & Robinson, L. (2022). A systematic review and meta-analysis of interventions to decrease cyberbullying perpetration and victimization. Prevention Science, 23 (3), 439–454. https://doi.org/10.1007/s11121-021-01259-y

Raman, S., Muhammad, T., Goldhagen, J., Seth, R., Kadir, A., Bennett, S., D'Annunzio, D., Spencer, N. J., Bhutta, Z. A., & Gerbaka, B. (2021). Ending violence against children: What can global agencies do in partnership? Child Abuse & Neglect, 119 (Pt 1), 104733. https://doi.org/10.1016/j.chiabu.2020.104733

Rettew, D. C., & Pawlowski, S. (2016). Bullying. Child and Adolescent Psychiatric Clinics of North America, 25 (2), 235–242. https://doi.org/10.1016/j.chc.2015.12.002

Rideout, V. (2017). The Common-sense census: Media use by tweens and teens . Common Sense Media. https://www.commonsensemedia.org/sites/default/files/uploads/research/census_researchreport.pdf .

Rideout, V., & Robb, M. B. (2019). Social media, social life: Teens reveal their experiences . Common Sense Media. https://www.commonsensemedia.org/sites/default/files/uploads/research/2019-census-8-to-18-key-findings-updated.pdf .

Rodkin, P. C., Espelage, D. L., & Hanish, L. D. (2015). A relational framework for understanding bullying: Developmental antecedents and outcomes. American Psychologist, 70 (4), 311–321. https://doi.org/10.1037/a0038658

Ross, S. W., Horner, R. H., & Higbee, T. (2009). Bully prevention in positive behavior support. Journal of Applied Behavior Analysis, 42 (4), 747–759. https://doi.org/10.1901/jaba.2009.42-747

Sabia, J. J., & Bass, B. (2017). Do anti-bullying laws work? New evidence on school safety and youth violence. Journal of Population Economics, 30 (2), 473–502. https://doi.org/10.1007/s00148-016-0622-z

Salmivalli, C. (2010). Bullying and the peer group: A review. Aggression and Violent Behavior, 15 (2), 112–120. https://doi.org/10.1016/j.avb.2009.08.007

Singham, T., Viding, E., Schoeler, T., Arseneault, L., Ronald, A., Cecil, C. M., McCrory, E., Rijsdijk, F., & Pingault, J. B. (2017). Concurrent and longitudinal contribution of exposure to bullying in childhood to mental health: The role of vulnerability and resilience. JAMA Psychiatry, 74 (11), 1112–1119. https://doi.org/10.1001/jamapsychiatry.2017.2678

Smith, P. K., Singer, M., Hoel, H., & Cooper, C. L. (2003). Victimization in the school and the workplace: Are there any links? British Journal of Psychology, 94 (2), 175–188. https://doi.org/10.1348/000712603321661868

Smith, J. D., Schneider, B., Smith, P. K., & Ananiadou, K. (2004). The effectiveness of whole-school anti-bullying programs: A synthesis of evaluation research. School Psychology Review, 33 (4), 548–561. https://doi.org/10.1080/02796015.2004.12086267

Solberg, M., & Olweus, D. (2003). Prevalence estimation of school bullying with the Olweus/bully victim questionnaire. Aggressive Behavior, 29 (3), 239–268. https://doi.org/10.1002/ab.10047

Srabstein, J. C., & Leventhal, B. L. (2010). Prevention of bullying-related morbidity and mortality: A call for public health policies. Bulletin of the World Health Organization, 88 (6), 403. https://doi.org/10.2471/BLT.10.077123

Stopbullying.gov. (2021). Laws, policies, and regulations . https://www.stopbullying.gov/resources/laws

Sullivan, T. N., Farrell, A. D., Sutherland, K. S., Behrhorst, K. L., Garthe, R. C., & Greene, A. (2023). Evaluation of the Olweus bullying prevention program in US urban middle schools using a multiple baseline experimental design. Prevention Science, 22 (8), 1134–1146. https://doi.org/10.1007/s11121-021-01244-5

Swearer, S. M., Wang, C., Maag, J. W., Siebecker, A. B., & Frerichs, L. J. (2012). Understanding the bullying dynamic among students in special and general education. Journal of School Psychology, 50 (4), 503–520. https://doi.org/10.1016/j.jsp.2012.04.001

Thornberg, R. (2015). The social dynamics of school bullying: The necessary dialogue between the blind men around the elephant and the possible meeting point at the social ecological square. Confero: Essays on Education, Philosophy and Politics, 3 (1), 161–203. https://doi.org/10.3384/confero.2001-4562.1506245

Tiiri, E., Luntamo, T., Mishina, K., Sillanmäki, L., Brunstein Klomek, A., & Sourander, A. (2020). Did bullying victimization decrease after nationwide school-based antibullying program? A time-trend study. Journal of the American Academy of Child and Adolescent Psychiatry, 59 (4), 531–540. https://doi.org/10.1016/j.jaac.2019.03.023

Troop-Gordon, W. (2017). Peer victimization in adolescence: The nature, progression, and consequences of being bullied within a developmental context. Journal of Adolescence, 55 , 116–128. https://doi.org/10.1016/j.adolescence.2016.12.012

Ttofi, M. M., Farrington, D. P., & Lösel, F. (2012). School bullying as a predictor of violence later in life: A systematic review and meta-analysis of prospective longitudinal studies. Aggression and Violent Behavior, 17 (5), 405–418. https://doi.org/10.1016/j.avb.2012.05.002

Ttofi, M. M., Farrington, D. P., Lösel, F., Crago, R. V., & Theodorakis, N. (2016). School bullying and drug use later in life: A meta-analytic investigation. School Psychology Quarterly, 31 (1), 8–27. https://doi.org/10.1037/spq0000120

Vaillancourt, T., McDougall, P., Hymel, S., Krygsman, A., Miller, J., Stiver, K., & Davis, C. (2008). Bullying: Are researchers and children/youth talking about the same thing? International Journal of Behavioral Development, 32 (6), 486–495. https://doi.org/10.1177/0165025408095553

Volk, A. A., Dane, A. V., & Marini, Z. A. (2014). What is bullying? A theoretical redefinition. Developmental Review, 34 (4), 327–343. https://doi.org/10.1016/j.dr.2014.09.001

Waasdorp, T. E., Bradshaw, C. P., & Leaf, P. J. (2012). The impact of schoolwide positive behavioral interventions and supports on bullying and peer rejection: A randomized controlled effectiveness trial. Archives of Pediatrics & Adolescent Medicine, 166 (2), 149–156. https://doi.org/10.1001/archpediatrics.2011.755

Waseem, M., Paul, A., Schwartz, G., Pauzé, D., Eakin, P., Barata, I., Holtzman, D., Benjamin, L. S., Wright, J. L., Nickerson, A. B., & Joseph, M. (2017). Role of pediatric emergency physicians in identifying bullying. The Journal of Emergency Medicine, 52 (2), 246–252. https://doi.org/10.1016/j.jemermed.2016.07.107

Williford, A., Boulton, A., Noland, B., Little, T. D., Kärnä, A., & Salmivalli, C. (2012). Effects of the KiVa anti-bullying program on adolescents’ depression, anxiety, and perception of peers. Journal of Abnormal Child Psychology, 40 , 289–300. https://doi.org/10.1007/s10802-011-9562-y

Winding, T. N., Skouenborg, L. A., Mortensen, V. L., & Anderson, J. H. (2020). Is bullying in adolescence associated with the development of depressive symptoms in adulthood?: A longitudinal cohort study. BMC Psychology, 8 , 122. https://doi.org/10.1186/s40359-020-00491-5

Xu, M., Macrynikola, N., Waseem, M., & Miranda, R. (2020). Racial and ethnic differences in bullying: Review and implications for intervention. Aggression and Violent Behavior, 50 , 101340. https://doi.org/10.1016/j.avb.2019.101340

Ybarra, M. L., Boyd, D., Korchmaros, J. D., & Oppenheim, J. K. (2012). Defining and measuring cyberbullying within the larger context of bullying victimization. Journal of Adolescent Health, 51 (1), 53–58. https://doi.org/10.1016/j.jadohealth.2011.12.031

Yeager, D. S., Fong, C., Lee, H., & Espelage, D. (2015). Declines in efficacy or anti-bullying programs among older adolescents: Theory and a three-level meta-analysis. Journal of Applied Developmental Psychology, 37 (1), 36–51. https://doi.org/10.1016/j.appdev.2014.11.005

Zhang, Q., Cao, Y., & Tian, J. (2021). Effects of violent video games on aggressive cognition and aggressive behavior. Cyberpsychology, Behavior and Social Networking, 24 (1), 5–10. https://doi.org/10.21203/rs.3.rs-139260/v1

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Waseem, M., Nickerson, A.B. Bullying: issues and challenges in prevention and intervention. Curr Psychol 43 , 9270–9279 (2024). https://doi.org/10.1007/s12144-023-05083-1

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American Psychological Association Logo

Bullying: What We Know Based On 40 Years of Research

APA journal examines science aimed at understanding causes, prevention

WASHINGTON — A special issue of American Psychologist ® provides a comprehensive review of over 40 years of research on bullying among school age youth, documenting the current understanding of the complexity of the issue and suggesting directions for future research.

“The lore of bullies has long permeated literature and popular culture. Yet bullying as a distinct form of interpersonal aggression was not systematically studied until the 1970s. Attention to the topic has since grown exponentially,” said Shelley Hymel, PhD, professor of human development, learning and culture at the University of British Columbia, a scholarly lead on the special issue along with Susan M. Swearer, PhD, professor of school psychology at the University of Nebraska-Lincoln. “Inspired by the 2011 U.S. White House Conference on Bullying Prevention, this collection of articles documents current understanding of school bullying.”

The special issue consists of an introductory overview  (PDF, 90KB) by Hymel and Swearer, co-directors of the Bullying Research Network, and five articles on various research areas of bullying including the long-term effects of bullying into adulthood, reasons children bully others, the effects of anti-bullying laws and ways of translating research into anti-bullying practice.

Articles in the issue:

Long-Term Adult Outcomes of Peer Victimization in Childhood and Adolescence: Pathways to Adjustment and Maladjustment  (PDF, 122KB) by Patricia McDougall, PhD, University of Saskatchewan, and Tracy Vaillancourt, PhD, University of Ottawa.

The experience of being bullied is painful and difficult. Its negative impact — on academic functioning, physical and mental health, social relationships and self-perceptions — can endure across the school years. But not every victimized child develops into a maladjusted adult. In this article, the authors provide an overview of the negative outcomes experienced by victims through childhood and adolescence and sometimes into adulthood. They then analyze findings from prospective studies to identify factors that lead to different outcomes in different people, including in their biology, timing, support systems and self-perception.

Patricia McDougall can be contacted by email or by phone at (306) 966-6203.

A Relational Framework for Understanding Bullying: Developmental Antecedents and Outcomes  (PDF, 151KB) by Philip Rodkin, PhD, and Dorothy Espelage, PhD, University of Illinois, Urbana-Champaign, and Laura Hanish, PhD, Arizona State University.

How do you distinguish bullying from aggression in general? In this review, the authors describe bullying from a relationship perspective. In order for bullying to be distinguished from other forms of aggression, a relationship must exist between the bully and the victim, there must be an imbalance of power between the two and it must take place over a period of time. “Bullying is perpetrated within a relationship, albeit a coercive, unequal, asymmetric relationship characterized by aggression,” wrote the authors. Within that perspective, the image of bullies as socially incompetent youth who rely on physical coercion to resolve conflicts is nothing more than a stereotype. While this type of “bully-victim” does exist and is primarily male, the authors describe another type of bully who is more socially integrated and has surprisingly high levels of popularity among his or her peers. As for the gender of victims, bullying is just as likely to occur between boys and girls as it is to occur in same-gender groups.  

Dorothy Espelage can be contacted by email or by phone at (217) 333-9139.

Translating Research to Practice in Bullying Prevention  (PDF, 157KB) by Catherine Bradshaw, PhD, University of Virginia.

This paper reviews the research and related science to develop a set of recommendations for effective bullying prevention programs. From mixed findings on existing programs, the author identifies core elements of promising prevention approaches (e.g., close playground supervision, family involvement, and consistent classroom management strategies) and recommends a three-tiered public health approach that can attend to students at all risk levels. However, the author notes, prevention efforts must be sustained and integrated to effect change. 

Catherine Bradshaw can be contacted by email or by phone at (434) 924-8121.

Law and Policy on the Concept of Bullying at School  (PDF, 126KB) by Dewey Cornell, PhD, University of Virginia, and Susan Limber, PhD, Clemson University.

Since the shooting at Columbine High School in 1999, all states but one have passed anti-bullying laws, and multiple court decisions have made schools more accountable for peer victimization. Unfortunately, current legal and policy approaches, which are strongly rooted in laws regarding harassment and discrimination, do not provide adequate protection for all bullied students. In this article, the authors provide a review of the legal framework underpinning many anti-bullying laws and make recommendations on best practices for legislation and school policies to effectively address the problem of bullying.

Dewey Cornell can be contacted by email or by phone at (434) 924-0793.

Understanding the Psychology of Bullying: Moving Toward a Social-Ecological Diathesis-Stress Model by Susan Swearer, PhD, University of Nebraska-Lincoln, and Shelley Hymel, PhD, University of British Columbia.

Children’s involvement in bullying varies across roles and over time. A student may be victimized by classmates but bully a sibling at home. Bullying is a complex form of interpersonal aggression that can be both a one-on-one process and a group phenomenon. It negatively affects not only the victim, but the bully and witnesses as well. In this paper, the authors suggest an integrated model for examining bullying and victimization that recognizes the complex and dynamic nature of bullying across multiple settings over time.

Susan Swearer  can be contacted by email or by phone at (402) 472-1741. Shelley Hymel can be contacted by email or by phone at (604) 822-6022.

Copies of articles are also available from APA Public Affairs , (202) 336-5700.

The American Psychological Association, in Washington, D.C., is the largest scientific and professional organization representing psychology in the United States. APA's membership includes more than 122,500 researchers, educators, clinicians, consultants and students. Through its divisions in 54 subfields of psychology and affiliations with 60 state, territorial and Canadian provincial associations, APA works to advance the creation, communication and application of psychological knowledge to benefit society and improve people's lives.

Jim Sliwa (202) 336-5707

ORIGINAL RESEARCH article

Understanding alternative bullying perspectives through research engagement with young people.

\r\nNiamh O&#x;Brien*

  • School of Education and Social Care, Faculty of Health, Education, Medicine and Social Care, Anglia Ruskin University, Chelmsford, United Kingdom

Bullying research has traditionally been dominated by largescale cohort studies focusing on the personality traits of bullies and victims. These studies focus on bullying prevalence, risk and protective factors, and negative outcomes. A limitation of this approach is that it does not explain why bullying happens. Qualitative research can help shed light on these factors. This paper discusses the findings from four mainly qualitative research projects including a systematic review and three empirical studies involving young people to various degrees within the research process as respondents, co-researchers and commissioners of research. Much quantitative research suggests that young people are a homogenous group and through the use of surveys and other large scale methods, generalizations can be drawn about how bullying is understood and how it can be dealt with. Findings from the studies presented in this paper, add to our understanding that young people appear particularly concerned about the role of wider contextual and relational factors in deciding if bullying has happened. These studies underscore the relational aspects of definitions of bullying and, how the dynamics of young people’s friendships can shift what is understood as bullying or not. Moreover, to appreciate the relational and social contexts underpinning bullying behaviors, adults and young people need to work together on bullying agendas and engage with multiple definitions, effects and forms of support. Qualitative methodologies, in particular participatory research opens up the complexities of young lives and enables these insights to come to the fore. Through this approach, effective supports can be designed based on what young people want and need rather than those interpreted as supportive through adult understanding.

Introduction

Research on school bullying has developed rapidly since the 1970s. Originating in social and psychological research in Norway, Sweden, and Finland, this body of research largely focusses on individualized personality traits of perpetrators and victims ( Olweus, 1995 ). Global interest in this phenomenon subsequently spread and bullying research began in the United Kingdom, Australia, and the United States ( Griffin and Gross, 2004 ). Usually quantitative in nature, many studies examine bullying prevalence, risk and protective factors, and negative outcomes ( Patton et al., 2017 ). Whilst quantitative research collates key demographic information to show variations in bullying behaviors and tendencies, this dominant bullying literature fails to explain why bullying happens. Nor does it attempt to understand the wider social contexts in which bullying occurs. Qualitative research on the other hand, in particular participatory research, can help shed light on these factors by highlighting the complexities of the contextual and relational aspects of bullying and the particular challenges associated with addressing it. Patton et al. (2017) in their systematic review of qualitative methods used in bullying research, found that the use of such methods can enhance academic and practitioner understanding of bullying.

In this paper, I draw on four bullying studies; one systematic review of both quantitative and qualitative research ( O’Brien, 2009 ) and three empirical qualitative studies ( O’Brien and Moules, 2010 ; O’Brien, 2016 , 2017 ) (see Table 1 below). I discuss how participatory research methodologies, to varying degrees, were used to facilitate bullying knowledge production among teams of young people and adults. Young people in these presented studies were consequently involved in the research process along a continuum of involvement ( Bragg and Fielding, 2005 ). To the far left of the continuum, young people involved in research are referred to as “active respondents” and their data informs teacher practice. To the middle of the continuum sit “students as co-researchers” who work with teachers to explore an issue which has been identified by that teacher. Finally to the right, sit “students as researchers” who conduct their own research with support from teachers. Moving from left to right of the continuum shows a shift in power dynamics between young people and adults where a partnership develops. Young people are therefore recognized as equal to adults in terms of what they can bring to the project from their own unique perspective, that of being a young person now.

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Table 1. The studies.

In this paper, I advocate for the active involvement of young people in the research process in order to enhance bullying knowledge. Traditional quantitative studies have a tendency to homogenize young people by suggesting similarity in thinking about what constitutes bullying. However, qualitative studies have demonstrated that regardless of variables, young people understand bullying in different ways so there is a need for further research that starts from these perspectives and focusses on issues that young people deem important. Consequently, participatory research allows for the stories of the collective to emerge without losing the stories of the individual, a task not enabled through quantitative approaches.

What Is Bullying?

Researching school bullying has been problematic and is partly related to the difficulty in defining it ( Espelage, 2018 ). Broadly speaking, bullying is recognized as aggressive, repeated, intentional behavior involving an imbalance of power aimed toward an individual or group of individuals who cannot easily defend themselves ( Vaillancourt et al., 2008 ). In more recent times, “traditional” bullying behaviors have been extended to include cyber-bullying, involving the use of the internet and mobile-phones ( Espelage, 2018 ). Disagreements have been noted in the literature about how bullying is defined by researchers linked to subject discipline and culture. Some researchers for example, disagree about the inclusion or not of repetition in definitions ( Griffin and Gross, 2004 ) and these disagreements have had an impact on interpreting findings and prevalence rates. However, evidence further suggests that young people also view bullying in different ways ( Guerin and Hennessy, 2002 ; Cuadrado-Gordillo, 2012 ; Eriksen, 2018 ). Vaillancourt et al. (2008) explored differences between researchers and young people’s definitions of bullying, and found that children’s definitions were usually spontaneous, and did not always encompass the elements of repetition, power imbalance and intent. They concluded, that children need to be provided with a bullying definition so similarities and comparisons can be drawn. In contrast, Huang and Cornell (2015) found no evidence that the inclusion of a definition effected prevalence rates. Their findings, they suggest, indicate that young people use their own perceptions of bullying when answering self-report questionnaires and they are not influenced by an imposed definition.

Nevertheless, differences in children and young people’s bullying definitions are evident in the research literature and have been explained by recourse to age and stage of development ( Smith et al., 2002 ) and their assumed lack of understanding about what constitutes bullying ( Boulton and Flemington, 1996 ). Naylor et al. (2001) for example, found that younger children think similarly in their definitions of bullying, while Smith et al. (2002) found that 8 year olds did not distinguish as clearly between different forms of behavioral aggression as 14 year olds. Methodological limitations associated with understanding bullying have been identified by Forsberg et al. (2018) and Maunder and Crafter (2018) . These authors postulate that quantitative approaches, although providing crucial insights in understanding bullying, are reliant on pre-defined variables, which can shield some of the complexities that qualitative designs can unravel, as individual experiences of bullying are brought to the fore. Indeed, La Fontaine (1991) suggests that unlike standard self-report questionnaires and other quantitative methods used to collect bullying data, analyzing qualitative data such as those collected from a helpline, enables the voice of young people to be heard and consequently empowers adults to understand bullying on their terms rather than relying solely on interpretations and perceptions of adults. Moore and Maclean (2012) collected survey, as well as interview and focus group data, on victimization occurring on the journey to and from school. They found that what young people determined as victimization varied and was influenced by a multifaceted array of circumstances, some of which adults were unaware of. Context for example, played an important role where certain behaviors in one situation could be regarded as victimization while in another they were not. Specific behaviors including ignoring an individual was particularly hurtful and supporting a friend who was the subject of victimization could lead to their own victimization.

Lee (2006) suggests that some bullying research does not reflect individual experiences, and are thus difficult for participants to relate to. Canty et al. (2016) reiterates this and suggests that when researchers provide young people with bullying definitions in which to position their own experiences, this can mask some of the complexities that the research intends to uncover. Such approaches result in an oversight into the socially constructed and individual experiences of bullying ( Eriksen, 2018 ). Griffin and Gross (2004) further argue that when researchers use vague or ambiguous definitions an “overclassification of children as bullies or victims” (p. 381) ensues. Consequently, quantitative research does not consider children as reliable in interpreting their own lived experiences and therefore some of the interactions they consider as bullying, that do not fit within the conventional definitions, are concealed. This approach favors the adult definition of bullying regarding it as “more reliable” than the definitions of children and young people Canty et al. (2016) . The perceived “seriousness” of bullying has also been explored. Overall, young people and adults are more likely to consider direct bullying (face-to-face actions including hitting, threatening and calling names) as “more serious” than indirect bullying (rumor spreading, social exclusion, forcing others to do something they do not want to do) ( Maunder et al., 2010 ; Skrzypiec et al., 2011 ). This perception of “seriousness,” alongside ambiguous definitions of bullying, has further implications for reporting it. Despite the advice given to young people to report incidents of school bullying ( Moore and Maclean, 2012 ), the literature suggests that many are reluctant to do so ( deLara, 2012 ; Moore and Maclean, 2012 ).

Several factors have been highlighted as to why young people are reluctant to report bullying ( Black et al., 2010 ). deLara (2012) , found apprehension in reporting bullying to teachers due to the fear that they will either not do enough or too much and inadvertently make the situation worse, or fear that teachers will not believe young people. Research also shows that young people are reluctant to tell their parents about bullying due to perceived over-reaction and fear that the bullying will be reported to their school ( deLara, 2012 ; Moore and Maclean, 2012 ). Oliver and Candappa (2007) suggest that young people are more likely to confide in their friends than adults (see also Moore and Maclean, 2012 ; Allen, 2014 ). However, if young people believe they are being bullied, but are unable to recognize their experiences within a predefined definition of bullying, this is likely to impact on their ability to report it.

Research from psychology, sociology, education and other disciplines, utilizing both quantitative and qualitative approaches, have enabled the generation of bullying knowledge to date. However, in order to understand why bullying happens and how it is influenced by wider social constructs there is a need for further qualitative studies, which hear directly from children and young people themselves. The next section of this paper discusses the theoretical underpinnings of this paper, which recognizes that young people are active agents in generating new bullying knowledge alongside adults.

Theoretical Underpinnings – Hearing From Children and Young People

The sociology of childhood ( James, 2007 ; Tisdall and Punch, 2012 ) and children’s rights agenda more broadly ( United Nations Convention on the Rights of the Child, 1989 ) have offered new understandings and methods for research which recognize children and young people as active agents and experts on their own lives. From this perspective, research is conducted with rather than on children and young people ( Kellett, 2010 ).

Participatory methodologies have proven particularly useful for involving young people in research as co-researchers (see for example O’Brien and Moules, 2007 ; Stoudt, 2009 ; Kellett, 2010 ; Spears et al., 2016 ). This process of enquiry actively involves those normally being studied in research activities. Previously, “traditional” researchers devalued the experiences of research participants arguing that due to their distance from them, they themselves are better equipped to interpret these experiences ( Beresford, 2006 ). However, Beresford (2006) suggests that the shorter the distance between direct experience and interpretation, the less distorted and inaccurate the resulting knowledge is likely to be. Jones (2004) further advocates that when young people’s voices are absent from research about them the research is incomplete. Certainly Spears et al. (2016) , adopted this approach in their study with the Young and Well Cooperative Research Centre (CRC) in Australia. Young people played an active role within a multidisciplinary team alongside researchers, practitioners and policymakers to co-create and co-evaluate the learning from four marketing campaigns for youth wellbeing through participatory research. Through this methodological approach, findings show that young people were able to reconceptualize mental health and wellbeing from their own perspectives as well as share their lived experiences with others ( Spears et al., 2016 ). Bland and Atweh (2007) , Ozer and Wright (2012) , highlight the benefits afforded to young people through this process, including participating in dialog with decision-makers and bringing aspects of teaching and learning to their attention.

Against this background, data presented for this paper represents findings from four studies underpinned by the ethos that bullying is socially constructed and is best understood by exploring the context to which it occurs ( Schott and Sondergaard, 2014 ; Eriksen, 2018 ). This socially constructed view focusses on the evolving positions within young people’s groups, and argues that within a bullying situation sometimes a young person is the bully, sometimes the victim and sometimes the bystander/witness, which contrasts the traditional view of bullying ( Schott and Sondergaard, 2014 ). The focus therefore is on group relationships and dynamics. For that reason, Horton (2011) proposes that if bullying is an extensive problem including many young people, then focusing entirely on personality traits will not generate new bullying knowledge and will be problematic in terms of interventions. It is important to acknowledge that this change in focus and view of bullying and how it is manifested in groups, does not negate the individual experiences of bullying rather the focus shifts to the process of being accepted, or not, by the group ( Schott and Sondergaard, 2014 ).

The Studies

This section provides a broad overview of the four included studies underpinned by participatory methodologies. Table 1 presents the details of each study. Young people were involved in the research process as respondents, co-researchers and commissioners of research, along a continuum as identified by Bragg and Fielding (2005) . This ranged from “active respondents” to the left of the continuum, “students as co-researchers” in the middle and “students as researchers” to the right of the continuum. Young people were therefore recognized as equal to adults in terms of what they can bring to the project from their own unique perspectives ( Bradbury-Jones et al., 2018 ).

A key finding from study one ( O’Brien, 2009 ) was the lack of voice afforded to young people through the research process and can be seen to reflect the far left of Bragg and Fielding (2005) continuum, as young people were not directly involved as “active respondents” but their views were included in secondary data analysis and informed the studies that followed. For example, the quantitative studies used an agreed academic definition of bullying which may or may not have influenced how young participants defined bullying within the studies. On the other hand, the qualitative study involved a group of students in deciding which questions to ask of the research participants and in interpreting the findings.

In contrast, study two ( O’Brien and Moules, 2010 ) was commissioned and led by a group of young people called PEAR (Public health, Education, Awareness, Researchers), who were established to advise on public health research in England. PEAR members were based in two large English cities and comprised 20 young people aged between 13 and 20 years. The premise of the study was that PEAR members wanted to commission research into cyber bullying and the effects this has on mental health from the perspectives of young people rather than adult perspectives. This project was innovative as young people commissioned the research and participated as researchers ( Davey, 2011 ) and can be seen to reflect the middle “students as co-researchers” as well as moving toward to right “students as researchers” of Bragg and Fielding (2005) continuum. Although the young people did not carry out the day-to-day work on the project, they were responsible for leading and shaping it. More importantly, the research topic and focus were decided with young people and adults together.

Study three ( O’Brien, 2016 ) involved five self-selecting students from an independent day and boarding school who worked with me to answer this question: What do young people in this independent day and boarding school view as the core issue of bullying in the school and how do they want to address this? These students called themselves R4U (Research for You) with the slogan researching for life without fear . Three cycles of Participatory Action Research (PAR) ensued, where decision making about direction of the research, including methods, analysis and dissemination of findings were made by the research team. As current students of the school, R4U had a unique “insider knowledge” that complemented my position as the “academic researcher.” By working together to generate understanding about bullying at the school, the findings thus reflected this diversity in knowledge. As the project evolved so too did the involvement of the young researchers and my knowledge as the “outsider” (see O’Brien et al., 2018a for further details). Similar to study two, this project is situated between the middle: “students as co-researchers” and the right: “students as researchers” of Bragg and Fielding (2005) continuum.

Study four ( O’Brien, 2017 ) was small-scale and involved interviewing four young people who were receiving support from a charity providing therapeutic and educational support to young people who self-exclude from school due to anxiety, as a result of bullying. Self-exclusion, for the purposes of this study, means that a young person has made a decision not to go to school. It is different from “being excluded” or “truanting” because these young people do not feel safe at school and are therefore too anxious to attend. Little is known about the experiences of young people who self-exclude due to bullying and this study helped to unravel some of these issues. This study reflects the left of Bragg and Fielding (2005) continuum where the young people were involved as “active respondents” in informing adult understanding of the issue.

A variety of research methods were used across the four studies including questionnaires, interviews and focus groups (see Table 1 for more details). In studies two and three, young researchers were fundamental in deciding the types of questions to be asked, where they were asked and who we asked. In study three the young researchers conducted their own peer-led interviews. The diversity of methods used across the studies are a strength for this paper. An over-reliance on one method is not portrayed and the methods used reflected the requirements of the individual studies.

Informed Consent

Voluntary positive agreement to participate in research is referred to as “consent” while “assent,” refers to a person’s compliance to participate ( Coyne, 2010 ). The difference in these terms are normally used to distinguish the “legal competency of children over and under 16 years in relation to research.” ( Coyne, 2010 , 228). In England, children have a legal right to consent so therefore assent is non-applicable ( Coyne, 2010 ). However, there are still tensions surrounding the ability of children and young people under the age of 18 years to consent in research which are related to their vulnerability, age and stage of development ( Lambert and Glacken, 2011 ). The research in the three empirical studies (two, three and four) started from the premise that all young participants were competent to consent to participate and took the approach of Coyne (2010) who argues that parental/carer consent is not always necessary in social research. University Research Ethics Committees (RECs) are nonetheless usually unfamiliar with the theoretical underpinnings that children are viewed as social actors and generally able to consent for themselves ( Lambert and Glacken, 2011 ; Fox, 2013 ; Parsons et al., 2015 ).

In order to ensure the young people in these reported studies were fully informed of the intentions of each project and to adhere to ethical principles, age appropriate participant information sheets were provided to all participants detailing each study’s requirements. Young people were then asked to provide their own consent by signing a consent form, any questions they had about the studies were discussed. Information sheets were made available to parents in studies three and four. In study two, the parents of young people participating in the focus groups were informed of the study through the organizations used to recruit the young people. My full contact details were provided on these sheets so parents/carers could address any queries they had about the project if they wished. When young people participated in the online questionnaire (study two) we did not know who they were so could not provide separate information to parents. Consequently, all participants were given the opportunity to participate in the research without the consent of their parents/carers unless they were deemed incompetent to consent. In this case the onus was on the adult (parent or carer for example) to prove incompetency ( Alderson, 2007 ). Favorable ethical approval, including approval for the above consent procedures, was granted by the Faculty Research Ethics Committee at Anglia Ruskin University.

In the next section I provide a synthesis of the findings across the four studies before discussing how participatory research with young people can offer new understandings of bullying and its impacts on young people.

Although each study was designed to answer specific bullying research questions, the following key themes cut across all four studies 1 :

• Bullying definitions

◦ Behaviors

• Impact of bullying on victim

• Reporting bullying

Bullying Definitions

Young people had various understandings about what they considered bullying to be. Overall, participants agreed that aggressive direct behaviors, mainly focusing on physical aggression, constituted bullying:

“…if someone is physically hurt then that is bullying straight away.” (Female, study 3).

“I think [cyber-bullying is] not as bad because with verbal or physical, you are more likely to come in contact with your attacker regularly, and that can be disturbing. However, with cyber-bullying it is virtual so you can find ways to avoid the person.” (Female, study 2).

Name-calling was an ambiguous concept, young people generally believed that in isolation name-calling might not be bullying behavior or it could be interpreted as “joking” or “banter”:

“I never really see any, a bit of name calling and taking the mick but nothing ever serious.” (Male, study 3).

The concept of “banter” or “joking” was explored in study three as a result of the participatory design. Young people suggested “banter” involves:

“…a personal joke or group banter has no intention to harm another, it is merely playful jokes.” (Female, study 3).

However, underpinning this understanding of “banter” was the importance of intentionality:

“Banter saying things bad as a joke and everyone knows it is a joke.” (Male, study 3).

“Banter” was thus contentious when perception and reception were ambiguous. In some cases, “banter” was considered “normal behavior”:

“…we’ve just been joking about, but it’s never been anything harsh it’s just been like having a joke…” (Male, study 3).

The same view was evident in relation to cyber-bullying. Some participants were rather dismissive of this approach suggesting that it did not exist:

“I don’t really think it exists. If you’re being cyber-“bullied” then there is something wrong with you- it is insanely easy to avoid, by blocking people and so on. Perhaps it consists of people insulting you online?” (Male, study 2).

When young people considered additional factors added to name calling such as the type of name-calling, or aspects of repetition or intention, then a different view was apparent.

“…but it has to be constant it can’t be a single time because that always happens.” (Male, study 3).

Likewise with words used on social media, young people considered intentionality in their consideration of whether particular behaviors were bullying, highlighting important nuances in how bullying is conceptualized:

“Some people they don’t want to sound cruel but because maybe if you don’t put a smiley face on it, it might seem cruel when sometimes you don’t mean it.” (Female, study 2).

Study one also found that young people were more likely to discuss sexist or racist bullying in interviews or focus groups but this information was scarce in the questionnaire data. This is possibly as a result of how the questions were framed and the researchers’ perspectives informing the questions.

Evident across the four studies was the understanding young people had about the effects of continuous name-calling on victims:

“…you can take one comment, you can just like almost brush it off, but if you keep on being bullied and bullied and bullied then you might kind of think, hang on a minute, they’ve taken it a step too far, like it’s actually become more personal, whereas just like a cheeky comment between friends it’s become something that’s more serious and more personal and more annoying or hurtful to someone.” (Female, study 3).

“Cyber-bullying is basically still verbal bullying and is definitely psychological bullying. Any bullying is psychological though, really. And any bullying is going to be harmful.” (Female, study 2).

Aspects of indirect bullying (social exclusion) were features of studies one and three. For the most part, the research reviewed in study one found that as young people got older they were less likely to consider characteristics of social exclusion in their definitions of bullying. In study three, when discussing the school’s anti-bullying policy, study participants raised questions about “ isolating a student from a friendship group .” Some contested this statement as a form of bullying:

“…. there is avoiding, as in, not actively playing a role in trying to be friends which I don’t really see as bullying I see this as just not getting someone to join your friendship group. Whereas if you were actually leaving him out and rejecting him if he tries to be friends then I think I would see that as malicious and bullying.” (Male, study 3).

“Isolating a student from a friendship group – I believe there are various reasons for which a student can be isolated from a group – including by choice.” (Female, study 3).

Cyber-bullying was explored in detail in study two but less so in the other three studies. Most study two participants considered that cyber-bullying was just as harmful, or in some cases worse than, ‘traditional’ bullying due to the use of similar forms of “harassment,” “antagonizing,” “tormenting,” and ‘threatening’ through online platforms. Some young people believed that the physical distance between the victim and the bully is an important aspect of cyber-bullying:

“I think it’s worse because people find it easier to abuse someone when not face to face.” (Male, study 2).

“I think it could be worse, because lots of other people can get involved, whereas when it’s physical bullying it’s normally just between one or two or a smaller group, things could escalate too because especially Facebook, they’ve got potential to escalate.” (Female, study 2).

Other participants in study two spoke about bullying at school which transfers to an online platform highlighting no “escape” for some. In addition, it was made clearer that some young people considered distancing in relation to bullying and how this influences perceptions of severity:

“…when there’s an argument it can continue when you’re not at school or whatever and they can continue it over Facebook and everyone can see it then other people get involved.” (Female, study 2).

“I was cyber-bullied on Facebook, because someone put several hurtful comments in response to my status updates and profile pictures. This actually was extended into school by the bully…” (Male, study 2).

Impact of Bullying on Victim

Although bullying behaviors were a primary consideration of young people’s understanding of bullying, many considered the consequences associated with bullying and in particular, the impact on mental health. In these examples, the specifics of the bullying event were irrelevant to young people and the focus was on how the behavior was received by the recipient.

In study two, young people divulged how cyber-bullying had adversely affected their ability to go to school and to socialize outside school. Indeed some young people reported the affects it had on their confidence and self-esteem:

“I developed anorexia nervosa. Although not the single cause of my illness, bullying greatly contributed to my low self-esteem which led to becoming ill.” (Female, study 2).

“It hurts people’s feelings and can even lead to committing suicide….” (Female, study 2).

Across the studies, young people who had been bullied themselves shared their individual experiences:

“….you feel insecure and it just builds up and builds up and then in the end you have no self-confidence.” (Female, study 2).

“…it was an everyday thing I just couldn’t take it and it was causing me a lot of anxiety.” (Male, study 4).

“I am different to everyone in my class …. I couldn’t take it no more I was upset all the time and it made me feel anxious and I wasn’t sleeping but spent all my time in bed being sad and unhappy.” (Male, study 4).

Young people who had not experienced bullying themselves agreed that the impact it had on a person was a large determiner of whether bullying had happened:

“When your self-confidence is severely affected and you become shy. Also when you start believing what the bullies are saying about you and start to doubt yourself.” (Female, study 3).

“…it makes the victim feel bad about themselves which mostly leads to depression and sadness.” (Male, study 2).

Further evidence around the impact of bullying was apparent in the data in terms of how relational aspects can affect perceived severity. In the case of cyber-bullying, young people suggested a sense of detachment because the bullying takes place online. Consequently, as the relational element is removed bullying becomes easier to execute:

“…because people don’t have to face them over a computer so it’s so much easier. It’s so much quicker as well cos on something like Facebook it’s not just you, you can get everyone on Facebook to help you bully that person.” (Female, study 2).

“Due to technology being cheaper, it is easier for young people to bully people in this way because they don’t believe they can be tracked.” (Male, study 2).

“The effects are the same and often the bullying can be worse as the perpetrator is unknown or can disguise their identity. Away from the eyes of teachers etc., more can be done without anyone knowing.” (Female, study 2).

Relational aspects of bullying were further highlighted with regards to how “banter” was understood, particularly with in-group bullying and how the same example can either be seen as “banter” or bullying depending on the nature of the relationship:

“…we’ve just been joking about, but it’s never been anything harsh it’s just been like having a joke. well, I haven’t done it but I’ve been in a crowd where people do it, so I don’t want to get involved just in case it started an argument.” (Female, study 3).

“But it also depends…who your groups with, for example, if I spoke to my friends from [School]… I wouldn’t like use taboo language with them because to them it may seem inappropriate and probably a bit shocked, but if I was with my friends outside of school we use taboo language, we’ll be ourselves and we’ll be comfortable with it, and if a stranger walked past and heard us obviously they’d be thinking that we’re being bullied ourselves.” (Female, study 3).

Furthermore, how individuals are perceived by others tended to influence whether they were believed or not. In study four for example, participants suggested that who the bullies were within the school might have impacted how complaints were acted upon by school officials:

“When I went to the school about it, the students said I had attacked them – all eight of them! I just realized that no one believes me….” (Female, study 4).

While in study three, a characteristic of bullying was the influence the aggressor has over the victim:

“When the victim starts to feel in danger or start to fear the other person. Consequently he or she tries to avoid the bad guy (or girl!)” (Male, study 3).

These relational and contextual issues also influenced a young person’s ability to report bullying.

Reporting Bullying

Young people were more likely to report bullying when they considered it was ‘serious’ enough. Just under half of participants in study two sought emotional/practical support if they worried about, or were affected by cyber-bullying, with most talking to their parents. In study three, young people were less likely to seek support but when they did, most went to their teachers. In study four, all participants reported bullying in school where they did not feel supported.

Fear of making the bullying worse was captured across the studies as a reason for not reporting it:

“I’m scared that if I tell then the bullying will still go on and they will do more.” (Female, study 3).

“The bully might bully you if he finds out.” (Male, study 3).

Being able to deal with the incident themselves was also a reason for non-reporting:

“…it’s embarrassing and not necessary, my friends help me through it, adults never seem to understand.” (Female, study 2).

“I don’t tend to talk to anyone about it, I just keep it to myself and obviously that’s the worst thing you should ever do, you should never keep it to yourself, because I regret keeping it to myself to be honest….” (Female, study 3).

“…but I think I’d deal with it myself ‘cos. I was quite insecure but now I’m quite secure with myself, so I’ll sort it out myself. I think it’s just over time I’ve just sort of hardened to it.” (Male, study 3).

Most young people seeking support for bullying said they spoke to an adult but the helpfulness of this support varied. This finding is important for understanding relationships between young people and adults. Those who felt supported by their teachers for example, suggested that they took the time to listen and understood what they were telling them. They also reassured young people who in turn believed that the adult they confided in would know what to do:

“So I think the best teacher to talk to is [Miss A] and even though people are scared of her I would recommend it, because she’s a good listener and she can sense when you don’t want to talk about something, whereas the other teachers force it out of you.” (Female, study 3).

“My school has had assemblies about cyber-bullying and ways you can stop it or you can report it anonymously…. you can write your name or you can’t, it’s all up to YOU.” (Male, study 2).

Others however had a negative experience of reporting bullying and a number of reasons were provided as to why. Firstly, young people stated that adults did not believe them which made the bullying worse on some level:

“I went to the teachers a couple of times but, no, I don’t think they could do anything. I did sort of go three times and it still kept on going, so I just had to sort of deal with it and I sort of took it on the cheek….” (Male, study 3).

Secondly, young people suggested that adults did not always listen to their concerns, or in some cases did not take their concerns seriously enough:

“…I had had a really bad day with the girls so I came out and I explained all this to my head of year and how it was affecting me but instead of supporting me he put me straight into isolation.” (Male, study 4).

“I could understand them thinking I maybe got the wrong end of the stick with one incident but this was 18 months of me constantly reporting different incidents.” (Female, study 4).

“If cyber-bullying is brought to our school’s attention, usually, they expect printed proof of the situation and will take it into their own hand depending on its seriousness. However this is usually a couple of detentions. And it’s just not enough.” (Female, study 2).

Finally, some young people suggested that teachers did not always know what to do when bullying concerns were raised and consequently punished those making the complaint:

“I think I would have offered support instead of punishment to someone who was suffering with anxiety. I wouldn’t have seen anxiety as bad behavior I think that’s quite ignorant but they saw it as bad behavior.” (Male, study 4).

It is worth reiterating, that the majority of young people across the studies did not report bullying to anybody , which further underscores the contextual issues underpinning bullying and its role in enabling or disabling bullying behaviors. Some considered it was “pointless” reporting the bullying and others feared the situation would be made worse if they did:

“My school hide and say that bullying doesn’t go on cos they don’t wanna look bad for Ofsted.” (Male, study 2).

“My school is oblivious to anything that happens, many things against school rules happen beneath their eyes but they either refuse to acknowledge it or are just not paying attention so we must suffer.” (Female, study 2).

“That’s why I find that when you get bullied you’re scared of telling because either, in most cases the teacher will – oh yeah, yeah, don’t worry, we’ll sort it out and then they don’t tend to, and then they get bullied more for it.” (Female, study 3).

Young people were concerned that reporting bullying would have a negative impact on their friendship groups. Some were anxious about disrupting the status quo within:

“I think everyone would talk about me behind my back and say I was mean and everyone would hate me.” (Female, study 3).

Others expressed concern about the potential vulnerability they were likely to experience if they raised concerns of bullying:

“I was worried it might affect my other friendships.”(Boy, study 2).

“I’m scared that if I tell, then the bullying will still go on and they will do more.” (Female, study 3).

“….because they might tell off the bullies and then the bullies will like get back at you.” (Female, study 3).

These findings underscore the importance of contextual and relational factors in understanding bullying from the perspectives of young people and how these factors influence a young person’s ability or willingness to report bullying.

Finally one young person who had self-excluded from school due to severe bullying suggested that schools:

“…need to be looking out for their students’ mental wellbeing – not only be there to teach them but to support and mentor them. Keep them safe really… I missed out on about three years of socializing outside of school because I just couldn’t do it. I think it’s important that students are encouraged to stand up for each other.” (Female, study 4).

The studies presented in this paper illustrate the multitude of perceptions underpinning young people’s understandings of what constitutes bullying, both in terms of the behavior and also the impact that this behavior has on an individual. In turn, the ambiguity of what constitutes bullying had an impact on a young person’s ability to seek support. Discrepancies in bullying perceptions within and between young people’s groups are shown, highlighting the fluid and changing roles that occur within a bullying situation. Findings from quantitative studies have demonstrated the differing perceptions of bullying by adults and young people (see for example Smith et al., 2002 ; Vaillancourt et al., 2008 ; Maunder et al., 2010 ; Cuadrado-Gordillo, 2012 ). However, by combining findings from participatory research, new understandings of the relational and contextual factors important to young people come to the fore.

Young people participating in these four studies had unique knowledge and experiences of bullying and the social interactions of other young people in their schools and wider friendship groups. The underpinning participatory design enabled me to work alongside young people to analyze and understand their unique perspectives of bullying in more detail. The research teams were therefore able to construct meaning together, based not entirely on our own assumptions and ideologies, but including the viewpoint of the wider research participant group ( Thomson and Gunter, 2008 ). Together, through the process of co-constructing bullying knowledge, we were able to build on what is already known in this field and contribute to the view that bullying is socially constructed through the experiences of young people and the groups they occupy ( Schott and Sondergaard, 2014 ).

With regards to understanding what bullying is, the findings from these studies corroborate those of the wider literature from both paradigms of inquiry (for example Naylor et al., 2001 ; Canty et al., 2016 ); that being the discrepancies in definitions between adults and young people and also between young people themselves. Yet, findings here suggest that young people’s bullying definitions are contextually and relationally contingent. With the exception of physical bullying, young people did not differentiate between direct or indirect behaviors, instead they tended to agree that other contextual and relational factors played a role in deciding if particular behaviors were bullying (or not). The participatory research design enabled reflection and further investigation of the ideas that were particularly important to young people such as repetition and intentionality. Repetition was generally seen as being indicative of bullying being “serious,” and therefore more likely to be reported, and without repetition, a level of normality was perceived. This finding contradicts some work on bullying definitions, Cuadrado-Gordillo (2012) for example found that regardless of the role played by young people in a bullying episode (victim, aggressor or witness), the criteria of ‘repetition’ was not important in how they defined bullying.

Relational factors underpinning young people’s perception of bullying and indeed it’s “seriousness” were further reflected in their willingness or otherwise to report it. Fear of disrupting the status quo of the wider friendship group, potentially leading to their own exclusion from the group, was raised as a concern by young people. Some were concerned their friends would not support them if they reported bullying, while others feared further retaliation as a result. Friendship groups have been identified as a source of support for those who have experienced bullying and as a protective factor against further bullying ( Allen, 2014 ). Although participants did not suggest their friendship groups are unsupportive it is possible that group dynamics underscore seeking (or not) support for bullying. Other literature has described such practices as evidence of a power imbalance ( Olweus, 1995 ; Cuadrado-Gordillo, 2012 ) but young people in these studies did not describe these unequal relationships in this way and instead focused on the outcomes and impacts of bullying. Indeed Cuadrado-Gordillo (2012) also found that young people in their quantitative study did not consider “power imbalance” in their understanding of bullying and were more likely to consider intention. This paper, however, underscores the relational aspects of definitions of bullying and, how the dynamics of young people’s friendships can shift what is understood as bullying or not. Without such nuances, some behaviors may be overlooked as bullying, whereas other more obvious behaviors draw further attention. This paper also shows that contextual issues such as support structures can shift how young people see bullying. Contextual factors were evident across the four studies through the recognition of bullying being enabled or disabled by institutional factors, including a school’s ability to respond appropriately to bullying concerns. Young people suggested that schools could be influenced by bullies, perceiving them as non-threatening and consequently not dealing appropriately with the situation. Indeed some young people reported that their schools placed the onus on them as victims to change, consequently placing the “blame” on victims instead. These findings raise questions about who young people feel able to confide in about bullying as well as issues around training and teacher preparedness to deal with bullying in schools. Evidenced in these four studies, is that young people feel somewhat disconnected from adults when they have bullying concerns. Those who did report bullying, identified particular individuals they trusted and knew would support them. Novick and Isaacs (2010) identified teachers who young people felt comfortable in approaching to report bullying and described them as “most active, engaged and responsive.” (p. 291). The bullying literature suggests that as young people get older they are more likely to confide in friends than adults ( Moore and Maclean, 2012 ; Allen, 2014 ). However, findings from this paper indicate that although fewer young people reported bullying, those who did confided in an adult. Young people have identified that a variety of supports are required to tackle bullying and that adults need to listen and work with them so nuanced bullying behaviors are not recognized as “normal” behaviors. Within the data presented in this paper, “banter” was portrayed as “normal” behavior. Young people did not specify what behaviors they regarded as “banter,” but suggested that when banter is repeated and intentional the lines are blurred about what is bullying and what is banter.

Exploring bullying nuances in this paper, was enhanced by the involvement of young people in the research process who had a unique “insider” perspective about what it is like to be a young person now and how bullying is currently affecting young people. In studies one and four, young people were “active respondents” ( Bragg and Fielding, 2005 ) and provided adults with their own unique perspectives on bullying. It could be argued that study one did not involve the participation of young people. However, this study informed the basis of the subsequent studies due to the discrepancies noted in the literature about how bullying is understood between adults and young people, as well as the lack of young people’s voice and opportunity to participate in the reviewed research. Accordingly, young people’s data as “active respondents” informed adult understanding and led to future work involving more active research engagement from other young people. Participation in study four provided an opportunity for young people to contribute to future participatory research based on lived experiences as well as informing policy makers of the effects bullying has on the lives of young people ( O’Brien, 2017 ). In studies two and three, young people were involved further along Bragg and Fielding (2005) continuum as “co-researchers” and “students as researchers” with these roles shifting and moving dependent on the context of the project at the time ( O’Brien et al., 2018a ). These young researchers brought unique knowledge to the projects ( Bradbury-Jones et al., 2018 ) that could not be accessed elsewhere. Perspectives offered by the young researchers supported adults in understanding more about traditional and cyber-bullying from their perspectives. Furthermore, this knowledge can be added to other, quantitative studies to further understand why bullying happens alongside bullying prevalence, risk and protective factors, and negative outcomes.

Findings from the four studies offer an alternative perspective to how bullying is understood by young people. Complexities in defining bullying have been further uncovered as understanding is informed by individual factors, as well as wider social and relational contexts ( Horton, 2011 ; Schott and Sondergaard, 2014 ). This has implications for the type of support young people require. This paper highlights how definitions of bullying shift in response to relational and contextual aspects deemed important to young people. Because of this, further nuances were uncovered through the research process itself as the respective studies showed discrepancies in bullying perceptions within and between young people’s groups.

These understandings can act as a starting point for young people and adults to collaborate in research which seeks to understand bullying and the context to which it occurs. Furthermore, such collaborations enable adults to theorize and understand the complexities associated with bullying from the perspective of those at the center. There is a need for additional participatory research projects involving such collaborations where adults and young people can learn from each other as well as combining findings from different methodologies to enable a more comprehensive picture of the issues for young people to emerge. Further research is needed to unravel the complexities of bullying among and between young people, specifically in relation to the contextual and relational factors underscoring perceptions of bullying.

Data Availability

The raw data supporting the conclusions of this manuscript will be made available by the authors, without undue reservation, to any qualified researcher.

Ethics Statement

Ethical approval was granted for all four studies from the Faculty of Health, Education, Medicine and Social Care at the Anglia Ruskin University. The research was conducted on the premise of Gillick competency meaning that young people (in these studies over the age of 12 years) could consent for themselves to participate. Parents/carers were aware the study was happening and received information sheets explaining the process.

Author Contributions

The author confirms being the sole contributor of this work and has approved it for publication.

These four studies were conducted at the Anglia Ruskin University. Study one was part of a wider masters degree funded by the Anglia Ruskin University, Study two was funded by a group of young people convened by the National Children’s Bureau with funding from the Wellcome Trust (United Kingdom). Study three was a wider Doctoral study funded by the Anglia Ruskin University and Study four was also funded by the Anglia Ruskin University.

Conflict of Interest Statement

The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

I would like to thank Dr. Grace Spencer, Ruskin Fellow at the Anglia Ruskin University for providing the critical read of this manuscript and offering constructive feedback. I would also like to thank the two independent reviewers for their feedback on the drafts of this manuscript.

  • ^ These findings focus on perceptions and data from the young people in the four studies. For a full discussion on adult perceptions please refer to the individual studies.

Alderson, P. (2007). Competent children? Minors’ consent to health care treatment and research. Soc. Sci. Med. 65, 2272–2283. doi: 10.1016/j.socscimed.2007.08.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Allen, M. (2014). Local Action on Health Inequalities: Building Children and Young People’s Resilience in Schools , London: Public Health England.

Google Scholar

Beresford, P. (2006). Making the connections with direct experience: from the western front to user-controlled research. Educ. Action Res. 14, 161–170.

Black, S., Weinles, D., and Washington, E. (2010). Victim strategies to stop bullying. Youth Violence Juv. Justice 8, 138–147. doi: 10.1177/1541204009349401

CrossRef Full Text | Google Scholar

Bland, D., and Atweh, B. (2007). Students as researchers: engaging students’ voices in PAR. Educ. Action Res. 15, 337–349. doi: 10.1080/09650790701514259

Boulton, M. J., and Flemington, I. (1996). The effects of a short video intervention on secondary school Pupils’ involvement in definitions of and attitudes towards bullying. Sch. Psychol. Int. 17, 331–345. doi: 10.1177/0143034396174003

Bradbury-Jones, C., Isham, L., and Taylor, J. (2018). The complexities and contradictions in participatory research with vulnerable children and young people: a qualitative systematic review. Soc. Sci. Med. 215, 80–91. doi: 10.1016/j.socscimed.2018.08.038

Bragg, S., and Fielding, M. (2005). “It’s an equal thing. It’s about achieving together: student voices and the possibility of a radical collegiality,” in Improving Schools Through Collaborative Enquiry , eds H. Street, and J. Temperley, (London: Continuum), 105–135.

Braun, V., and Clarke, V. (2006). Using thematic analysis in Psychology. Qual. Res. Psychol. 3, 77–101.

Canty, J., Stubbe, M., Steers, D., and Collings, S. (2016). The trouble with bullying–deconstructing the conventional definition of bullying for a child-centred investigation into Children’s use of social media. Child. Soc. 30, 48–58. doi: 10.1111/chso.12103

Coyne, I. (2010). Research with children and young people: the issue of parental (proxy) consent. Child. Soc. 24, 227–237.

Cuadrado-Gordillo, I. (2012). Repetition, power imbalance, and intentionality: do these criteria conform to teenagers’ perception of bullying? A role-based analysis. J. Interpers. Violence 27, 1889–1910. doi: 10.1177/0886260511431436

Davey, C. (2011). Evaluation of the PEAR Project. London: National Children’s Bureau.

deLara, E. W. (2012). Why adolescents Don’t disclose incidents of bullying and harassment. J. Sch. Violence 11, 288–305. doi: 10.1080/15388220.2012.705931

Eriksen, I. M. (2018). The power of the word: students’ and school staff’s use of the established bullying definition. Educ. Res. 60, 157–170. doi: 10.1080/00131881.2018.1454263

Espelage, D. L. (2018). Understanding the complexity of school bully involvement. Chautauqua J. 2:20.

Forsberg, C., Wood, L., Smith, J., Varjas, K., Meyers, J., Jungert, T., et al. (2018). Students’ views of factors affecting their bystander behaviors in response to school bullying: a cross-collaborative conceptual qualitative analysis. Res. Pap. Educ. 33, 127–142. doi: 10.1080/02671522.2016.1271001

Fox, R. (2013). Resisting participation: critiquing participatory research methodologies with young people. J. Youth Stud. 16, 986–999. doi: 10.1080/13676261.2013.815698

Griffin, R. S., and Gross, A. M. (2004). Childhood bullying: current empirical findings and future directions for research. Aggr. Violent Behav. 9, 379–400. doi: 10.1016/s1359-1789(03)00033-8

Guerin, S., and Hennessy, E. (2002). Pupils’ definitions of bullying. Eur. J. Psychol. Educ. 17, 249–261. doi: 10.1007/bf03173535

Horton, P. (2011). School bullying and social and moral orders. Child. Soc. 25, 268–277. doi: 10.1111/j.1099-0860.2011.00377.x

Huang, F. L., and Cornell, D. G. (2015). The impact of definition and question order on the prevalence of bullying victimization using student self-reports. Psychol. Assess. 27:1484. doi: 10.1037/pas0000149

James, A. (2007). Giving voice to children’s voices: practices and problems, pitfalls and potentials. Am. Anthropol. 109, 261–272. doi: 10.1525/aa.2007.109.2.261

Jones, A. (2004). “Involving children and yong people as researchers,” in Doing Research with Children and Young People , eds S. Fraser, V. Lewis, S. Ding, M. Kellett, and C. Robinson, (London: Sage Publications), 113–130.

Kellett, M. (2010). Small shoes, Big Steps! Empowering children as active researchers. Am. J. Commun. Psychol. 46, 195–203. doi: 10.1007/s10464-010-9324-y

La Fontaine, J. (1991). Bullying: The Child’s View – an Analysis of Telephone Calls to ChildLIne about Bullying. London: Calouste Gulbenkian Foundation.

Lambert, V., and Glacken, M. (2011). Engaging with children in research: theoretical and practical implications of negotiating informed consent/assent. Nurs. Ethics 18, 781–801. doi: 10.1177/0969733011401122

Lee, C. (2006). Exploring teachers’ definitions of bullying. Emot. Behav. Diffic. 11, 61–75. doi: 10.1080/13632750500393342

Maunder, R. E., and Crafter, S. (2018). School bullying from a sociocultural perspective. Aggr. Violent Behav. 38, 13–20. doi: 10.1016/j.avb.2017.10.010

Maunder, R. E., Harrop, A., and Tattersall, A. J. (2010). Pupil and staff perceptions of bullying in secondary schools: comparing behavioural definitions and their perceived seriousness. Educ. Res. 52, 263–282. doi: 10.1080/00131881.2010.504062

Moore, S., and Maclean, R. (2012). Victimization, friendship and resilience: crossing the land in-between. Pastor. Care Educ. 30, 147–163. doi: 10.1080/02643944.2012.679956

Naylor, P., Cowie, H., and del Rey, R. (2001). Coping strategies of secondary school children in response to being bullied. Child Psychol. Psychiatry Rev. 6, 114–120. doi: 10.1111/j.1469-7610.2009.02137.x

Novick, R. M., and Isaacs, J. (2010). Telling is compelling: the impact of students reports of bullying on teacher intervention. Educ. Psychol. 30, 283–296. doi: 10.1080/01443410903573123

O’Brien, N. (2009). Secondary school teachers’ and pupils’ definitions of bullying in the UK: a systematic review. Evid. Policy 5, 399–426.

PubMed Abstract | Google Scholar

O’Brien, N. (2014). “I Didn’t Want to be Known as a Snitch”: Using PAR to Explore Bullying in a Private day and Boarding School. Childhood Remixed. Conference Edition. Suffolk: University Campus Suffolk, 86–96.

O’Brien, N. (2016). To ‘Snitch’ or Not to ‘Snitch’? Using PAR to Explore Bullying in a Private Day and Boarding School. Available at: http://arro.anglia.ac.uk/700970/ (accessed September 20, 2018).

O’Brien, N. (2017). An Exploratory Study of Bullied Young People’s Self-Exclusion from School. Evidence: Presented at Meetings of the All Party Parliamentary Group on Bullying 2011-2016. Project Report. All Party Parliamentary Group on Bullying. Available at: http://arro.anglia.ac.uk/id/eprint/702024 (accessed September 20, 2018).

O’Brien, N., and Moules, T. (2007). So round the spiral again: a reflective participatory research project with children and young people. Educ. Action Res. J. 15, 385–402. doi: 10.1080/09650790701514382

O’Brien, N., and Moules, T. (2010). The Impact of Cyber-Bullying on Young People’s Mental Health. Project Report. Chelmsford: Anglia Ruskin University.

O’Brien, N., and Moules, T. (2013). Not sticks and stones but tweets and texts: findings from a national cyberbullying project. Pastor. Care Educ. 31, 53–65. doi: 10.1080/02643944.2012.747553

O’Brien, N., Moules, T., and Munn-Giddings, C. (2018a). “Negotiating the research space between young people and adults in a PAR study exploring school bullying,” in Reciprocal Relationships and Well-Being: Implications for Social Work and Social Policy , eds M. Torronen, C. Munn-Giddings, and L. Tarkiainen, (Oxon: Routledge), 160–175. doi: 10.4324/9781315628363-11

O’Brien, N., Munn-Giddings, C., and Moules, T. (2018b). The repercussions of reporting bullying: some experiences of students at an independent secondary school. Pastor. Care Educ. 36, 29–43. doi: 10.1080/02643944.2017.1422004

O’Brien, N., Munn-Giddings, C., and Moules, T. (2018c). The Ethics of Involving Young People Directly in the Research Process. Childhood Remixed. Conference Edition , 115–128. Available at: www.uos.ac.uk/content/centre-for-study-children-childhood (accessed May 2018).

Oliver, C., and Candappa, M. (2007). Bullying and the politics of ‘telling’. Oxford Rev. Educ. 33, 71–86. doi: 10.1080/03054980601094594

Olweus, D. (1995). Bullying or peer abuse at school: facts and intervention. Curr. Dir. Psychol. Sci. 4, 196–200. doi: 10.1111/1467-8721.ep10772640

Ozer, E. J., and Wright, D. (2012). Beyond school spirit: the effects of youth-led participatory action research in two urban high schools. J. Res. Adolesc. 22, 267–283. doi: 10.1111/j.1532-7795.2012.00780.x

Parsons, S., Abbott, C., McKnight, L., and Davies, C. (2015). High risk yet invisible: conflicting narratives on social research involving children and young people, and the role of research ethics committees. Br. Educ. Res. J. 41, 709–729. doi: 10.1002/berj.3160

Patton, D. U., Hong, J. S., Patel, S., and Kral, M. J. (2017). A systematic review of research strategies used in qualitative studies on school bullying and victimization. Trauma Violence Abuse 18, 3–16. doi: 10.1177/1524838015588502

Popay, J., Roberts, H., Sowden, A., Petticrew, M., Arai, L., Rodgers, M., et al. (2006). Guidance on the conduct of narrative synthesis in systematic reviews. Eur. Soc. Res. Council Methods Program. doi: 10.13140/2.1.1018.4643

Schott, R. M., and Sondergaard, D. M. (2014). “Introduction: new approaches to school bullying,” in School Bullying: New Theories in Context , eds R. M. Schott, and D. M. Sondergaard, (Massachusetts, MA: Cambridge University Press), 1–17.

Skrzypiec, G., Slee, P., Murray-Harvey, R., and Pereira, B. (2011). School bullying by one or more ways: does it matter and how do students cope? Sch. Psychol. Int. 32, 288–311. doi: 10.1177/0143034311402308

Smith, P. K., Cowie, H., Olafsson, R. F., and Liefooghe, A. P. D. (2002). Definitions of bullying: a comparison of terms used, and age and gender differences, in a fourteen-country international comparison. Child Dev. 73, 1119–1133. doi: 10.1111/1467-8624.00461

Spears, B., Taddeo, C., Collin, P., Swist, T., Razzell, M., Borbone, V., et al. (2016). Safe and Well Online: Learnings from Four Social Marketing Campaigns for Youth Wellbeing. Available at: https://researchdirect.westernsydney.edu.au/islandora/object/uws:36405/datastream/PDF/view (accessed July 1, 2019).

Stoudt, B. G. (2009). The role of language & discourse in the investigation of privilege: using participatory action research to discuss theory. Dev. Methodol. Interrupt. Power Urban Rev. 41, 7–28.

Thomson, P., and Gunter, H. (2008). Researching Bullying with students: a lens on everyday life in an ‘innovative school’. Int. J. Inclusive Educ. 12, 185–200. doi: 10.1080/13603110600855713

Tisdall, E. K. M., and Punch, S. (2012). Not so ‘new’? Looking critically at childhood studies. Child. Geogr. 10, 249–264. doi: 10.1080/14733285.2012.693376

United Nations Convention on the Rights of the Child (1989). Available at: http://www.unicef.org.uk/Documents/Publication-pdfs/UNCRC_PRESS2009 10web.pdf (accessed January 19, 2014).

Vaillancourt, T., McDougall, P., Hymel, S., Krygsman, A., Miller, J., Stiver, K., et al. (2008). Bullying: are researchers and children/youth talking about the same thing? Int. J. Behav. Dev. 32, 486–495. doi: 10.1177/0165025408095553

Keywords : bullying, young people, participatory research, social constructionism, young people as researchers, collaboration, bullying supports

Citation: O’Brien N (2019) Understanding Alternative Bullying Perspectives Through Research Engagement With Young People. Front. Psychol. 10:1984. doi: 10.3389/fpsyg.2019.01984

Received: 28 February 2019; Accepted: 13 August 2019; Published: 28 August 2019.

Reviewed by:

Copyright © 2019 O’Brien. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Niamh O’Brien, [email protected]

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

Jennifer Fraser Ph.D.

How Bullying Harms the Brain

Research pinpoints the brain-damaging force of bullying..

Posted June 17, 2023 | Reviewed by Hara Estroff Marano

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  • Bullying is seen as a moral issue, but a meta-analysis of research shows it's a medical issue.
  • Bullying, along with child maltreatment, can do physical damage to important brain regions.
  • The physical harm bullying does to the brain shows up in poor academic performance and mental illness.

Two researchers have found that bullying damages a number of brain regions in children. The damage is such that victims fail to understand social cues, fail to think clearly, and fail to have a handle on their own behaviour and emotions. It’s devastating.

Researchers Iryna Palamarchuk and Tracy Vaillancourt conducted a meta-analysis of studies, including their own studies, on the impact of bullying victimization on the developing brains of children. Although they focused on the amygdala, fusiform gyrus, insula, striatum, and prefrontal cortex, they acknowledge that the negative effects of bullying are not limited to such areas of the brain. They explain that neurological interplay between the regions "contributes to the sensitivity toward facial expressions, poor cognitive reasoning, and distress that affect behavioral modulation and emotion regulation ."

In other words, when damage occurs to these brain regions, the victim may misinterpret or overreact to someone’s facial expressions. While a person may show surprise, the victim’s brain, harmed by bullying, may read the facial expression as angry or threatening. The brain regions malfunction. in a sense, because of bullying.

Victims may also struggle to use their rational mind to problem-solve or make decisions. Their cognition , the ability to think through challenges and problems, is impaired by bullying. Furthermore, their distressed brain may struggle to self-regulate or modulate their conduct. Likewise, their bullied brain may struggle to manage emotional outbursts or withdrawals.

What’s makes these injuries to the brain even more distressing is that they are invisible to the naked eye and thus most in society do not even know they have occurred. Victims know they are struggling, but few would be informed that it’s because a series of regions in their brain have been harmed. Most concerning: if we do not know the brain is hurt, we do not set in motion the care needed for the brain to repair and recover. This is tragic because in fact the brain is innately wired to heal with evidence-based interventions.

How do children react who are victimized by bullying?

One manifestation discussed by Palamarchuk and Vaillancourt focuses on the way in which brain responses that naturally protect the target are thrown out of whack by the repeat nature of most bullying. Withdrawal, for instance, is an effective way the brain responds to threat out in the world, but if bullying behaviour happens repeatedly, this normally healthy brain response tilts into unhealthy territory.

The way bullying harms brain regions can lead to “the development of mental health problems including anxiety , depression , psychosis , psychosomatic and eating disorders among bullied children.” Some children may develop emotional numbing, associated with further harm to the brain, seen in post- traumatic - stress disorder ( PTSD ).

It is well-established and frequently discussed in educational and parental circles that children targeted by bullying often see a drop in their grades. What is missing, however, is the brain science that informs us that poor academic performance is likely a result of “neurophysiological changes like the ones found in maltreated children.”

What kind of physical brain changes do researchers document in maltreated and bullied brains?

Children who are abused by adults or bullied by peers may show signs of “suppressed neurogenesis, stress-associated delayed myelination, as well as distorted apoptosis.” Scientists know that our brains produce new cells throughout our lifespan. When a brain is being abused or bullied, brain-imaging reveals, the birth of new brain cells, or neurogenesis, is compromised and in some cases halted.

Scientists know that myelination is the way the brain creates efficient, rapid, superhighways of information transmission in the brain. Myelin is a fatty insulator that wraps around axons and allow the brain to wire-in skills and knowledge through repeated practice and dedication to achievement. Children who are being maltreated or bullied suffer from delays in the critical process of laying down the myelin that helps people capitalize on their talents.

research report about bullying brainly

Moreover, among the bullied and abused, a normal process of apoptosis, or cell death, is “elevated.” The cycle of cell birth and cell death is put into a state of imbalance. The target’s brain struggles to birth new cells while at the same time an elevated number of cells are dying. As a result, targets suffer anxiety, depression, PTSD, poor academic performance and yet rarely know that their brain is unwell and needs help.

Chances are very good that those who abuse and bully do not know that the way they act is causing damage to a child’s brain.

It is time to educate everyone about the seriously harmful impact of bullying on the brain

As Palamarchuk and Vaillancourt demonstrate in their own studies, and in the meta-analyses they undertake into extensive research being conducted internationally, child maltreatment and peer bullying harm regions of the brain in very serious and lasting ways. This knowledge needs to be shared with all adults who are in positions of trust and authority over children.

Kathy Bugajsky/Pixabay

Parents, teachers, coaches, doctors, social workers, mental health professionals need to use every opportunity to help children understand that the epidemic of mental illness in youth populations could be lessened if it were widely known that all forms of child maltreatment and bullying do damage to regions in the brain. Physical bullying may visibly harm the brain, but far more insidious is emotional, psychological, social-relational, and cyberbullying, as the damage they do to the brain is unseen. Emotional neglect, ignoring, ostracizing also does deadly harm, but cannot be seen.

Where the damage can be seen and documented is in brain imaging. The knowledge researchers have grained through noninvasive technology establishes that bullying can no longer be understood merely as a moral issue. It must be understood as a medical crisis as serious as catching a potentially fatal virus.

There need to be public service announcements about the devastating invisible neurological scars bullying and child maltreatment leave on the brain. The damage can be seen on brain scans. Even more important, the damage can be repaired once acknowledged and identified.

I. Palamarchuk & T. Vaillancourt. (2022). “Integrative Brain Dynamics in Childhood Bullying Victimization.” 2022 Frontiers in Integrative Neuroscience 16:1-24.

Jennifer Fraser Ph.D.

Jennifer Fraser, Ph.D., is an award-winning educator and bestselling author. Her latest book, The Bullied Brain: Heal Your Scars and Restore Your Health , hit shelves and airwaves in April 2022.

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Integrative Review of Qualitative Research on the Emotional Experience of Bullying Victimization in Youth

Elizabeth hutson.

1 College of Nursing, Ohio State University, Columbus, OH, USA

2 Behavioral Health Department, Nationwide Children’s Hospital, Columbus, OH, USA

The emotional experience of bullying victimization in youths has been documented primarily using quantitative methods; however, qualitative methods may be better suited to examine the experience. An integrative review of the qualitative method studies addressing the emotional experience of bullying victimization was conducted. From MEDLINE, Cumulative Index of Nursing and Allied Health Literature, PubMed, Education Information Resource Center, and PsycINFO, 14 English-language, peer-reviewed, qualitative studies were reviewed. Applying the Critical Appraisal Skills Programme, the quality of the studies was deemed sufficient. The range of emotional experiences reported included sadness, decreased self-esteem, embarrassment, fear, suicidal thinking, anger, feeling hurt, loneliness, powerlessness, helplessness, and confusion. Overall, these results were similar to those obtained from quantitative method studies, apart from the feeling of embarrassment. This integrative review confirmed and expanded the knowledge of emotional experiences of bullying victimization.

The systematic study of bullying in youths began in Scandinavia in the 1960s and 1970s with Olweus. He proposed that “a student is being bullied or victimized when he or she is exposed, repeatedly and over time, to negative actions on the part of one or more other students” (p. 755). Incorporating the attribute of power imbalance, the definition now includes that “the student who is exposed to negative actions has difficulty defending himself or herself” ( Olweus, 2013 , p. 755). Cyberbullying, a newer concept, has been defined as “willful and repeated harm inflicted through aggressive actions through the use of computers, cell phones, and other electronic devices” ( Hutson, 2016 , p. 67). There is disagreement in the scientific community in the defining attributes of cyberbullying, as well as whether cyberbullying is a form of bullying or a different concept altogether.

Nevertheless, bullying in childhood is a public health concern that has many negative consequences. Previous studies, including systematic reviews and meta-analyses, have found higher rates of depression, anxiety, suicidal thinking, psychiatric hospitalization, use of psychiatric medications, low self-esteem, missed school days, academic failure, psychosomatic problems, and aggressive/violent behavior in youths who have been exposed to bullying ( Arseneault, 2017 ; Gini & Pozzoli, 2013 ; Hinduja & Patchin, 2010 ; Moore et al., 2017 ; Sourander, Ronning, & Brunstein-Klomek, 2009 ; Ttofi, Farrington, & Lösel, 2012 ). Many of the consequences of bullying relate to the experience of emotional harm on the individual; depression, anxiety, and suicidal ideation are the most cited emotional consequences of bullying ( Bottino, Bottino, Regina, Correia, & Ribeiro, 2015 ; Moore et al., 2017 ). Suicidal ideation, suicidal behaviors, and completed suicide attempts related to bullying have been given increased exposure in the media ( Winburn, Winburn, & Niemeyer, 2014 ), and a meta-analysis by Holt et al. (2015) found a nearly 3-fold increase in suicidal behavior for victims of bullying. A recent systematic review and meta-analysis by Moore et al. (2017) showed evidence for the relationship between bullying (especially bullying victimization) and mental health consequences such as depression, anxiety, and suicidal ideation. In that review, significant associations were found between bullying victimization and depression, anxiety, poor general health, and suicidal ideation.

An important consideration in reviewing literature on bullying and the experienced emotional harm is that it has mostly been done via quantitative methods with self-reports. There are inherent measurement issues because there is limited research into the accuracy of self-report surveys in the measurement of bullying ( Vivolo-Kantor, Martell, Holland, & Westby, 2014 ). Some of the issues include reporting/responding bias and sensitivity and specificity issues. Importantly, there are limitations in relying on quantitative methods to study bullying, as quantitative methods do not allow for the exploration of youths’ perceptions of the emotional harm that bullying causes. Discovering youths’ perceptions of the experiences of bullying through qualitative methods will allow the research and clinical community to better create and refine bullying assessment and prevention programs, especially at the individual level.

Therefore, qualitative methods may be better suited to examine youths’ perceptions of the bullying experience. Qualitative methods allow researchers to explore the life of individuals, understand their lived experience, and describe and interpret cultural phenomena ( Creswell, 2013 ). Consequently, studies using qualitative methods have examined the experiences and perceptions of youths who have been involved with bullying including their reactions ( Athanasiades & Deliyanni-Kouimtzis, 2010 ; Side & Johnson, 2014 ), the coping skills they use when dealing with bullying ( Evans, Cotter, & Smokowski, 2017 ), and the motivations behind bullying ( Varjas, Talley, Meyers, Parris, & Cutts, 2010 ). It is important to note that there are also measurement issues in qualitative methods. Qualitative methods have been critiqued as being small-scale, biased, and lacking rigor; however, when completed according to previously defined methods, qualitative work can be valid, credible, and rigorous ( Anderson, 2010 ; Creswell, 2013 ).

Although qualitative method study findings about the emotional consequences of bullying have been published in the literature, a summary of these findings has not been published. Therefore, the purpose of this study was to perform an integrative review of the qualitative literature on the emotional experience of bullying victimization in youths. An integrative review method as proposed by Whittemore and Knafl (2005) was selected because it allows for the inclusion of both experimental and nonexperimental studies to understand a phenomenon. Specifically, the steps in an integrative review include (a) problem identification, (b) literature search, (c) data evaluation, (d) data analysis, and (e) presentation ( Whittemore & Knafl, 2005 ).

Problem Identification

The problem identified that guided this project was a lack of a synthesis of the qualitative method studies on the emotional experience of youths who are victims of bullying. Thus, the aims of the review were to describe succinctly the emotional experience of being a victim of bullying as detailed in the qualitative literature and to examine these results within the context of quantitative method study findings in the literature.

Literature Search Method

To complete a thorough review of the literature, the electronic databases searched were MEDLINE, Cumulative Index of Nursing and Allied Health Literature (CINAHL), PubMed, Education Information Resource Center (ERIC), and PsycINFO. In the EBSCO databases (CINAHL, ERIC, PsycINFO, and MEDLINE), searches were limited to peer-reviewed articles. No beginning date limit was used, and the search was conducted up to April 2017. The search terms were “bullying” and “qualitative.”

Inclusion criteria for this search are as follows: (1) qualitative or mixed-methods study addressing bullying, (2) pediatric population (<21 years of age), (3) participants described their emotional experience of bullying victimization, and (4) the article was published in a peer-reviewed journal. Articles were excluded if (1) they were published in a language other than English or (2) they were unpublished manuscripts (abstracts or dissertations). Although mixed-method studies were included only the qualitative data were addressed in this integrative review.

Citation titles were first assessed. For titles that indicated qualitative methods to study the experiences/perceptions of youths involved with bullying, abstracts were reviewed for the inclusion and exclusion criteria. For abstracts that met inclusion criteria, the full-text articles were retrieved and fully evaluated for inclusion and exclusion criteria. The study selection process and results can be found in Figure 1 . Ultimately, 14 manuscripts were found that met the established inclusion criteria. Data from the 14 studies can be found in Table 1 .

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Study selection.

Article Review Table.

ReferenceQualitative Method UsedAimMixed MethodsData Collection TechniqueSample Size and CharacteristicsSetting and Special Population
Interpretative phenomenological analysisTo qualitatively investigate secondary students’ interpretations and experiences of bullying with a focus on genderNoFocus groups95 participants
15–16 years
45 girls, 50 boys
Schools
Type not givenTo determine the role of bullying in the lives of Lumbee youthYesFocus groups31 participants
12–17 years
15 girls, 16 boys
Community Lumbee Indian youth
Thematic, semantic analysisTo explore adolescents’ experiences of appearance-related cyberbullyingNoFocus groups27 participants
15 years
13 girls, 14 boys
Schools
Transcendental phenomenologyTo gain valuable insights into how it is to be a student identified as having SEBDNoFocus groups and individual interview29 participants
9–13 years
Only male
Residential Boys with social, emotional, and behavioral difficulties
Qualitative descriptionTo explore the bullying experiences of young Aboriginal women in team sportsNoIndividual interview8 participants
14–18 years
Only females
Sports team through school Aboriginal girls
Type not givenTo generate information about violence among youth in rural settingsYesFocus groups and individual interview52 participants no ages given but average grade 10
32 girls, 20 boys
Schools Rural youth
Phenomenological hermeneutic mode of understandingTo explore how school children experience being bulliedNoFocus groups17 participants
12–13 years
14 girls, 3 boys
Schools
Type not givenTo examine the experiences of bullying and social exclusion of children and youth with cerebral palsyNoFocus groups and individual interview15 participants
8–19 years
9 girls, 6 boys
Rehab facility Youth with cerebral palsy
Basic qualitative methodologyTo examine children’s, parents’, and teachers’ perspectives on pervasiveness of bullying in the child’s friendshipsYesIndividual interview18 participants
No ages given but in Grades 4 and 5
9 girls, 9 boys
Schools
Phenomenology and grounded theoryTo explore the thoughts and attitudes youth hold about bullyingNoIndividual interview15 participants
No ages given but in Grades 7 and 8
7 girls, 8 boys
Schools
Grounded theoryTo describe the experience of peer victimization of children with attention deficit hyperactivity disorder (ADHD)NoIndividual interview4 participants
11–13 years
Only male
Unclear Boys with ADHD
Modified thematic analysisTo explore discourses constituting bullying from eight young people who have experienced itYesFocus groups and individual interview8 participants
13–15 years
3 girls, 5 boys
Schools
Grounded theoryTo explore children’s perceptions of how they cope with victimizationNoFocus groups102 participants
9–15 years
38 females, 64 boys
Schools
Descriptive phenomenological methodTo understand middle school boys’ lived experiences of being bullied, the aftermath, and meaningsNoIndividual interview11 participants
11–14 years
Only male
Schools Middle school boys

Data Evaluation

Evaluating and interpreting quality of primary sources in an integrative review can be challenging, as noted by Whittemore and Knafl (2005) . Because qualitative methods were used for the studies included, a quality instrument that specifically assesses qualitative methods was used: the Critical Appraisal Skills Programme ( CASP; 2014 ; Lee, 2006 ). The CASP (2014) qualitative checklist was designed by a group of experts to be used, when reading qualitative literature to think about the quality of qualitative methods in a systematic way. This instrument was used to judge whether the article explicitly identified an aim, method, research design, recruitment strategy, data collection method, ethical issues, data analysis techniques, findings, added value to the literature, and whether the relationship between the researcher and participants was adequately considered. Based on the criteria from the CASP instrument, no articles were excluded due to quality issues. In general, the quality of the studies was determined to be sufficient. All studies had an appropriate methodology, reported their findings, and added value to the literature. The largest area of concern was the relationship between the researcher and participants; five of the studies did not address this issue ( Athanasiades & Deliyanni-Kouimtzis, 2010 ; Bell et al., 2014 ; Kulig, Hall, & Kalischuk, 2008 ; Lindsay & McPherson, 2012 ; Side & Johnson, 2014 ). This is an important area to address because bias can be introduced if the researcher does not examine her or his role and influence in the qualitative data collection process.

Across the 14 studies, different types of qualitative methods were used. Phenomenological methods were most commonly used ( n = 5), including the subtypes of interpretative phenomenological analysis ( Athanasiades & Deliyanni-Kouimtzis, 2010 ), the phenomenological hermeneutic mode of understanding ( Kvarme, Helseth, Sæteren, & Natvig, 2010 ), transcendental phenomenology ( Brown Hajdukova, Hornby, & Cushman, 2016 ), the descriptive phenomenological method ( Willis & Griffith, 2010 ), and general phenomenology ( Pister, 2014 ). Grounded theory methods were also used in three of the studies ( Pister, 2014 ; Shea & Wiener, 2003 ; Tenenbaum, Varjas, Meyers, & Parris, 2011 ). Two studies cited thematic semantic analysis as their method ( Berne, Frisén, & Kling, 2014 ; Side & Johnson, 2014 ). One study used qualitative description ( Kentel & McHugh, 2015 ), and another cited basic qualitative methodology ( Mishna, Wiener, & Pepler, 2008 ). Three studies did not mention a specific qualitative method that guided their work ( Bell et al., 2014 ; Kulig et al., 2008 ; Lindsay & McPherson, 2012 ).

Although the focus of this review was qualitative method studies, it is important to mention that four of the studies also included quantitative components, namely, self-report Likert-type scale surveys; therefore, they are classified as mixed methods ( Bell et al., 2014 ; Kulig et al., 2008 ; Mishna et al., 2008 ; Side & Johnson, 2014 ). Another important consideration is that studies included different types of interview methods: five of the studies used focus groups ( Athanasiades & Deliyanni-Kouimtzis, 2010 ; Bell et al., 2014 ; Berne et al., 2014 ; Kvarme et al., 2010 ; Tenenbaum et al., 2011 ), five used individual interviews ( Kentel & McHugh, 2015 ; Mishna et al., 2008 ; Pister, 2014 ; Shea & Wiener, 2003 ; Willis & Griffith, 2010 ), and four used both focus groups and individual interviews ( Brown Hajdukova et al., 2016 ; Kulig et al., 2008 ; Lindsay & McPherson, 2012 ; Side & Johnson, 2014 ).

Data Analysis

Data collected and analyzed for this integrative review were explicitly identified prior to beginning the data collection process, as proposed by Whittemore and Knafl (2005) . Data for each article were extracted, including the terms used to describe the emotional experience of bullying victimization, sample size and characteristics, any special populations recruited, the country in which the research took place, the setting of the research, and strengths and limitations. Data regarding the emotional experience were taken from both the write-up in the article and the quotations from participants in the studies. Once extracted, the data from all primary sources were displayed in a chart and were compared iteratively.

Articles were published between 2003 and 2016. The sample size in the studies ranged from 4 to 102 participants. Participants were between the ages of 8 and 19 years. Studies were conducted in Canada, Greece, New Zealand, Norway, Sweden, the United Kingdom, and the United States. Most of the research was conducted in the school setting ( Athanasiades & Deliyanni-Kouimtzis, 2010 ; Berne et al., 2014 ; Brown Hajdukova et al., 2016 ; Kentel & McHugh, 2015 ; Kulig et al., 2008 ; Kvarme et al., 2010 ; Mishna et al., 2008 ; Pister, 2014 ; Side & Johnson, 2014 ; Tenenbaum et al., 2011 ; Willis & Griffith, 2010 ), two were performed in the community or home setting ( Bell et al., 2014 ; Shea & Wiener, 2003 ), and one in a pediatric rehabilitation center ( Lindsay & McPherson, 2012 ).

Some of the studies recruited specialty populations to describe their specific bullying experience. Certain studies selected participants with a specific diagnosis, such as attention deficit hyperactivity disorder ( Shea & Wiener, 2003 ) or cerebral palsy ( Lindsay & McPherson, 2012 ), while one included participants based on the general diagnosis of social, emotional, and behavioral difficulties ( Brown Hajdukova et al., 2016 ). Others recruited based on inclusion in an ethnic or cultural group, such as Lumbee youth ( Bell et al., 2014 ), Canadian Aboriginal youth ( Kentel & McHugh, 2015 ), or rural youth ( Kulig et al., 2008 ). A few of the studies aimed to look at specific gendered experiences related to bullying; thus, they only recruited males ( Brown Hajdukova et al., 2016 ; Shea & Wiener, 2003 ; Willis & Griffith, 2010 ) or females ( Kentel & McHugh, 2015 ).

Emotions Experienced

There was a range of emotional experiences related to being a victim of bullying discussed in the articles ( Table 2 ). One of the most commonly mentioned emotions was sadness or depression; this response was found in 10 of the articles ( Bell et al., 2014 ; Berne et al., 2014 ; Brown Hajdukova et al., 2016 ; Kentel & McHugh, 2015 ; Kvarme et al., 2010 ; Mishna et al., 2008 ; Shea & Wiener, 2003 ; Side & Johnson, 2014 ; Tenenbaum et al., 2011 ; Willis & Griffith, 2010 ). The youths reported words such as sad, sadness, or “feel down” ( Kentel & McHugh, 2015 , p. 370). Self-esteem issues were also often mentioned, reported in seven of the articles ( Athanasiades & Deliyanni-Kouimtzis, 2010 ; Bell et al., 2014 ; Berne et al., 2014 ; Kentel & McHugh, 2015 ; Kulig et al., 2008 ; Kvarme et al., 2010 ; Willis & Griffith, 2010 ). In particular, the youths described feeling “not as good as the others” ( Kvarme et al., 2010 , p. 795). Another emotional reaction mentioned in seven of the articles was embarrassment or shame ( Berne et al., 2014 ; Kentel & McHugh, 2015 ; Kulig et al., 2008 ; Lindsay & McPherson, 2012 ; Shea & Wiener, 2003 ; Side & Johnson, 2014 ; Tenenbaum et al., 2011 ). In one article, a participant reported that the experience was “humiliating” ( Side & Johnson, 2014 , p. 225).

Emotions Experienced.

EmotionReferenceExample
Sadness/depression , , , ; , , , , , and “If I get a comment, I feel like really bad, and I can be, you know, I can feel terrible for, like, years, like, over one single comment” ( , p. 531) “feel down” ( , p. 370)
Self-esteem issues , , , , , , and “You feel out of place and feel that you are not as good as the other” ( , p. 795) “It [bullying] makes me feel like a pile of garbage, that people can just throw around!” ( , p. 7)
Embarrassed , , , , , , and “You feel very small when this is happening to you, you don’t really like to talk about it with anybody because it is kind of embarrassing, when you know somebody is picking on you and you don’t want to tell” ( , p. 276) “humiliating” ( , p. 225)
Fear/anxiety , , , , , and “I was like scared to go into school” ( , p. 225)
Suicidal ideation , , , , , and “bullying is dangerous, because you can think of committing suicide” ( , p. 795)
Anger , , , , and “I got very, very angry. I was about to punch somebody” ( , p. 214)
Hurt , , , , and “Picking on someone, like emotionally hurting them verbally” ( , p. 370)
Excluded/loneliness , , , , and “I felt like I was alone … I did feel extremely alone” ( , p. 225)
Helplessness and “I was helpless” ( , p. 225)
Powerlessness and “It made me feel like some people have massive power over some people… they just have so much power” ( , p. 225)
Confused and “Sometimes I feel confused, like I don’t know why they are doing it and I don’t really know why they chose me.” ( , p. 128)

Other emotional reactions were mentioned in fewer studies, and exemplar quotes are provided in Table 2 . Six of the studies mentioned suicidal thinking ( Bell et al., 2014 ; Berne et al., 2014 ; Kulig et al., 2008 ; Kvarme et al., 2010 ; Shea & Wiener, 2003 ; Side & Johnson, 2014 ) and anxiety or fear ( Athanasiades & Deliyanni-Kouimtzis, 2010 ; Kvarme et al., 2010 ; Mishna et al., 2008 ; Shea & Wiener, 2003 ; Side & Johnson, 2014 ; Willis & Griffith, 2010 ). Five of the studies mentioned feeling hurt ( Kentel & McHugh, 2015 ; Kvarme et al., 2010 ; Mishna et al., 2008 ; Pister, 2014 ; Tenenbaum et al., 2011 ), anger ( Brown Hajdukova et al., 2016 ; Mishna et al., 2008 ; Shea & Wiener, 2003 ; Side & Johnson, 2014 ; Willis & Griffith, 2010 ), and feeling excluded or lonely ( Brown Hajdukova et al., 2016 ; Kvarme et al., 2010 ; Lindsay & McPherson, 2012 ; Mishna et al., 2008 ; Shea & Wiener, 2003 ). Lastly, two of the studies reported feelings of helpless and powerlessness ( Kvarme et al., 2010 ; Side & Johnson, 2014 ) and confusion ( Mishna et al., 2008 ; Willis & Griffith, 2010 ).

We analyzed the findings from qualitative research about the emotional experience of bullying victimization in youths. This is an important contribution to the literature because much of the previous work on the emotional consequences of bullying comes from quantitative research. This review of the qualitative literature found that youths who were victims of bullying used many emotional adjectives to describe their feelings: (in order of prevalence) sadness, decreased self-esteem, embarrassment, fear, suicidal thinking, anger, feeling hurt, loneliness, powerlessness, helplessness, and confusion.

Examining the findings from this review and placing them within the context of prior findings resulting from quantitative method studies may provide additional insight into the effect of bullying victimization. As bullying research has grown, multiple systematic reviews and meta-analyses have been published documenting the quantitative method study findings, which is the strongest level of evidence ( Melnyk & Morrison-Beedy, 2012 ). A recent systematic review and meta-analysis were done examining bullying victimization and found statistically significant relationships between bullying victimization and depression, anxiety, nonsuicidal self-injury, and suicidal ideation. Odds ratios were calculated for the abovementioned emotional consequences. Highest odds ratios were found between frequent bullying victimization and (a) depression and (b) suicide attempts. A nearly fourfold increase in suicide attempts was found for youths who experience frequent (as opposed to “sometimes”) bullying victimization ( Moore et al., 2017 ). Similar results were found in a systematic review of cyberbullying and adolescent mental health. Findings from that study indicated that adolescents who were victims of cyberbullying were more likely to report symptoms of depression and suicidal ideation and behaviors ( Bottino et al., 2015 ). Another meta-analysis found moderate effect sizes for bullying victimization and suicidal ideation and suicidal behavior ( Holt et al., 2015 ). A meta-analysis was also performed looking at bullying victimization and self-esteem and found a significant negative correlation, meaning that as youths were more frequently bullied their self-esteem decreased ( Tsaousis, 2016 ).

The above mentioned systematic reviews and meta-analyses found results similar to this integrative review, in that the emotional reactions often mentioned included depression or sadness, anxiety or fear, suicidal ideation, and self-esteem issues. The current review reported herein additionally found that youths often report embarrassment as an emotional reaction to bullying, which has not previously been documented in quantitative research. Therefore, the new results found in this review point to a need to include measures on embarrassment or shame in future studies on bullying victimization. Importantly, many youths who are victims of bullying do not tell adults about the situation; therefore, feelings of embarrassment or shame should be explored in future studies as a potential reason for the lack of reporting.

Strengths and Limitation of the Research Designs

Results of this review contribute to the growing field of literature on the consequences of bullying, in particular the emotional consequences. This review provides the first integrated review of the literature using qualitative methods to describe the emotional experience of bullying victimization of youths. Rigorous methodology as proposed by Whittemore and Knafl (2005) guided this review.

In the 14 qualitative studies included in this review, one strength was that most of the studies ( n = 11) explicitly stated the qualitative method used. It is important to be transparent in stating the qualitative methods used so that studies can be assessed for rigor, which has been a criticism of qualitative methods ( Anderson, 2010 ). Another strength of the research designs was that some of the studies used validation techniques recommended by Creswell (2013) . For example, Mishna, Wiener, and Pepler (2008) used triangulation with parents, teachers, vice principals, and principals to validate their findings. Shea and Wiener (2003) also used triangulation with teachers and parents. Kentel and McHugh (2015) used member checking to verify the results of their analysis with their participants. They also used prolonged engagement or spending extended time with the participants in their everyday world ( Creswell, 2013 ). Other researchers used constant comparison ( Berne et al., 2014 ; Kulig et al., 2008 ; Mishna et al., 2008 ; Shea & Wiener, 2003 ), as defined by Strauss and Corbin (1990) . The use of these validation methods is a strength of these particular studies; however, many authors did not explicitly discuss their validation methods, a major limitation of their research designs. Therefore, future qualitative work should consistently describe validation techniques to ensure the rigor of the research design.

Limitations among the studies included lack of design description in three of the studies ( Bell et al., 2014 ; Kulig et al., 2008 ; Lindsay & McPherson, 2012 ) and variance among the data collection techniques (focus groups, individual interviews, or both).

Limitations of This Review

First, though bullying is the most common term used to describe this phenomenon in the English language, other terms are used, such as “cyber mobbing” or “peer victimization” ( Nocentini et al., 2010 ). Importantly, Nocentini and colleagues (2010) found that the term bullying arose consistently among youths when describing these behaviors, which is why only this term was included in the literature search. The broad term “qualitative” was also exclusively selected for the literature search because this would capture all research using qualitative methods, as opposed to limiting it to specific types of qualitative methods (i.e., grounded theory).

An important limitation of qualitative research is that authors may group content into themes, thus leaving out other terms the participants may have used to describe their emotional experience. Because this is the standard way to organize qualitative method studies, this is an inherent problem that could not be controlled for in this review. Many of the reviewed studies commented on this limitation and mentioned their use of constant comparison in grounded theory designs ( Strauss & Corbin, 1990 ) or open coding ( Kentel & McHugh, 2015 ; Pister, 2014 ; Shea & Wiener, 2003 ) to mitigate this limitation.

Implications for School Nurses

As one in five youths report being the victim of bullying on school property, bullying can be seen as a public health concern for youths in the school setting ( Kann et al., 2016 ). Consequently, school staff, especially school nurses, frequently encounter students who have been victims of bullying and suffer from adverse physical and emotional outcomes. The school setting is frequently where these students first present with concerns related to bullying; therefore, school nurses are often the first health-care provider to encounter, assess, and help treat these students. It is important for school nurses to be aware of the emotional experiences that were found in this review that may result from bullying victimization.

Based on this review, there are two main recommendations for school nurses when working with children who have been victims of bullying. First, it is important to note that youths often do not feel comfortable talking to an adult, including school staff, when they are experiencing bullying because they are worried about the adults overreacting to the situation or they are worried about being blamed for the situation ( Fenaughty & Harré, 2013 ). As was found by this review, feelings of embarrassment may also contribute to students’ reluctance to tell an adult when they are victims of bullying. Therefore, when school nurses encounter youths with the emotional symptoms found from this review (sadness, decreased self-esteem, embarrassment, fear, suicidal thinking, anger, feeling hurt, loneliness, powerlessness, helpless, and confusion), they should be suspect of bullying victimization and screen the student appropriately. This is in line with the position statement from the National Association of School Nurses (NASN) on Bullying Prevention in Schools , in that school nurses should be key players in identifying and responding to bullying in schools ( DeSisto & Smith, 2014 ). This recommendation from this review goes further to recommend that students with emotional symptoms frequently associated with bullying be screened for bullying rather than just unexplained somatic symptoms as recommended by the position statement ( DeSisto & Smith, 2014 ).

The second recommendation is that, when a student does present to the school nurse or other school staff with concerns related to bullying victimization, they should be screened for depression, anxiety, suicidal thinking, and decreased self-esteem (some of the most cited emotional consequences found from this review) and referred to the appropriate treatment services. This is an important recommendation because some students may not openly admit to the cause of adverse emotional experience unless directly asked. Again, this goes beyond the NASN position statement that school nurses should recognize and be knowledgeable about long-term consequences of bullying, but also that school nurses should screen students affected by bullying for emotional symptoms and refer to the appropriate treatment ( DeSisto & Smith, 2014 ).

Results generated from qualitative studies can provide valuable information documenting the emotional experience of youths who have been victims of bullying. Because most previous studies examining the negative consequences of bullying victimization have used quantitative methods, this review of qualitative method studies is an important addition to the literature. The results of this integrated review found that documented emotional experiences in youths who are victims of bullying include sadness, decreased self-esteem, embarrassment, fear, suicidal thinking, anger, feeling hurt, loneliness, powerlessness, helplessness, and confusion. An important distinction between previous quantitative studies documenting the consequences of bullying victimization and this review is that this review found embarrassment was the second most commonly mentioned emotional experience (along with decreased self-esteem). This finding points to a need to include measures on embarrassment in studies addressing bullying.

The author(s) received no financial support for the research, authorship, and/or publication of this article.

Author Biography

Elizabeth Hutson , MS, RN, PMHNP-BC, is a doctoral student at Ohio State University.

Declaration of Conflicting Interests

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

  • Anderson C (2010). Presenting and evaluating qualitative research . American Journal of Pharmaceutical Education , 74 , Article 141. [ PMC free article ] [ PubMed ] [ Google Scholar ]
  • Arseneault LL (2017). The long-term impact of bullying victimization on mental health . World Psychiatry , 16 , 27–28. [ PMC free article ] [ PubMed ] [ Google Scholar ]
  • Athanasiades C, & Deliyanni-Kouimtzis V (2010). The experience of bullying among secondary school students . Psychology in the Schools , 47 , 328–341. [ Google Scholar ]
  • Bell R, Arnold E, Golden S, Langdon S, Anderson A, & Bryant A (2014). Perceptions and psychosocial correlates of bullying among Lumbee Indian youth . American Indian and Alaska Native Mental Health Research , 21 , 1–17. [ PMC free article ] [ PubMed ] [ Google Scholar ]
  • Berne S, Frisén A, & Kling J (2014). Appearance-related cyberbullying: A qualitative investigation of characteristics, content, reasons, and effects . Body Image , 11 , 527–533. doi: 10.1016/j.bodyim.2014.08.006 [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Bottino SM, Bottino CM, Regina CG, Correia AV, & Ribeiro WS (2015). Cyberbullying and adolescent mental health: Systematic review . Cadernos de saúde pública , 31 , 463–475. [ PubMed ] [ Google Scholar ]
  • Brown Hajdukova E, Hornby G, & Cushman P (2016). Bullying experiences of students with social, emotional and behavioural difficulties (SEBD) . Educational Review , 68 , 207–221. [ Google Scholar ]
  • Creswell J (2013). Qualitative inquiry and research design: Choosing among five approaches (3rd ed.). Thousand Oaks, CA: Sage. [ Google Scholar ]
  • Critical Appraisal Skills Programme. (n.d.). 10 Questions to help you make sense of qualitative research . Retrieved from http://media.wix.com/ugd/dded87_29c5b002d99342f788c6ac670e49f274.pdf
  • DeSisto MC, & Smith S (2014). Bullying prevention in schools: Position statement . Retrieved from https://higherlogicdownload.s3.amazonaws.com/NASN/UploadedImages/04a7992cd12a-4648-8fee-8a48cca734fc/Position_Statements/2014psbullying.pdf [ PubMed ]
  • Evans CBR, Cotter KL, & Smokowski PR (2017). Giving victims of bullying a voice: A qualitative study of post bullying reactions and coping strategies . Child & Adolescent Social Work Journal . doi: 10.1007/s10560-017-0492-6 [ CrossRef ] [ Google Scholar ]
  • Fenaughty J, & Harré N (2013). Factors associated with young people’s successful resolution of distressing electronic harassment . Computers & Education , 61 , 242–250. doi: 10.1016/j.compedu.2012.08.004 [ CrossRef ] [ Google Scholar ]
  • Gini G, & Pozzoli T (2013). Bullied children and psychosomatic problems: A meta-analysis . Pediatrics (Evanston) , 132 , 720–729. [ PubMed ] [ Google Scholar ]
  • Hinduja S, & Patchin WJ (2010). Bullying, cyberbullying, and suicide . Archives of Suicide Research , 14 , 206–221. [ PubMed ] [ Google Scholar ]
  • Holt MK, Vivolo-Kantor AM, Polanin JR, Holland KM, DeGue S, Matjasko JL, … Reid G (2015). Bullying and suicidal ideation and behaviors: A meta-analysis . Pediatrics , 135 , e496–e509. [ PMC free article ] [ PubMed ] [ Google Scholar ]
  • Hutson E (2016). Cyberbullying in adolescence: A concept analysis . Advances in Nursing Science , 39 , 60–70. [ PubMed ] [ Google Scholar ]
  • Kann L, McManus T, Harris WA, Shanklin SL, Flint KH, Hawkins J, … Zaza S (2016). Youth risk behavior surveillance—United States, 2015 . MMWR Surveillance Summaries , 65 , 1–174. [ PubMed ] [ Google Scholar ]
  • Kentel JL, & McHugh T-LF (2015). “Mean mugging”: An exploration of young Aboriginal women’s experiences of bullying in team sports . Journal of Sport & Exercise Psychology , 37 , 367–378. doi: 10.1123/jsep.2014-0291 [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Kulig JC, Hall BL, & Kalischuk RG (2008). Bullying perspectives among rural youth: A mixed methods approach . Rural & Remote Health , 8 , 923. [ PubMed ] [ Google Scholar ]
  • Kvarme LG, Helseth S, Sæteren B, & Natvig GK (2010). School children’s experience of being bullied—And how they envisage their dream day . Scandinavian Journal of Caring Sciences , 24 , 791–798. doi: 10.1111/j.1471-6712.2010.00777.x [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Lee P (2006). Understanding and critiquing qualitative research papers . Nursing Times , 102 , 30–32. [ PubMed ] [ Google Scholar ]
  • Lindsay S, & McPherson AC (2012). Experiences of social exclusion and bullying at school among children and youth with cerebral palsy . Disability and Rehabilitation: An International, Multidisciplinary Journal , 34 , 101–109. doi: 10.3109/09638288.2011.587086 [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Melnyk B, & Morrison-Beedy D (2012). Intervention research designing, conducting, analyzing, and funding . New York, NY: Springer. [ Google Scholar ]
  • Mishna F, Wiener J, & Pepler D (2008). Some of my best friends—Experiences of bullying within friendships . School Psychology International , 29 , 549–573. [ Google Scholar ]
  • Moore SE, Norman RE, Suetani S, Thomas HJ, Sly PD, & Scott JG (2017). Consequences of bullying victimization in childhood and adolescence: A systematic review and meta-analysis . World Journal of Psychiatry , 7 , 60–76. [ PMC free article ] [ PubMed ] [ Google Scholar ]
  • Nocentini A, Calmaestra J, Schultze-Krumbholz A, Scheithauer H, Ortega R, & Menesini E (2010). Cyberbullying: Labels, behaviours and definition in three European countries . Australian Journal of Guidance and Counselling , 20 , 129–142. doi:doi: 10.1375/ajgc.20.2.129 [ CrossRef ] [ Google Scholar ]
  • Olweus D (2013). School bullying: Development and some important challenges . Annual Review of Clinical Psychology , 9 , 751–780. [ PubMed ] [ Google Scholar ]
  • Pister R (2014). Understanding bullying through the eyes of youth . Journal of Ethnographic & Qualitative Research , 9 , 27–43. [ Google Scholar ]
  • Shea B, & Wiener J (2003). Social exile: The cycle of peer victimization for boys with ADHD . Canadian Journal of School Psychology , 18 , 55–90. doi: 10.1177/082957350301800104 [ CrossRef ] [ Google Scholar ]
  • Side J, & Johnson K (2014). Bullying in schools: Why it happens, how it makes young people feel and what we can do about it . Educational Psychology in Practice , 30 , 217–231. doi: 10.1080/02667363.2014.915209 [ CrossRef ] [ Google Scholar ]
  • Sourander A, Ronning J, & Brunstein-Klomek A (2009). Childhood bullying behavior and later psychiatric hospital and psychopharmacologic treatment: Findings from the Finnish 1981 Birth Cohort Study . Archives of General Psychiatry , 66 , 1005–1012. [ PubMed ] [ Google Scholar ]
  • Strauss A, & Corbin J (1990). Basics of qualitative research: Grounded theory procedures and techniques . Newbury Park, CA: Sage. [ Google Scholar ]
  • Tenenbaum LS, Varjas K, Meyers J, & Parris L (2011). Coping strategies and perceived effectiveness in fourth through eighth grade victims of bullying . School Psychology International , 32 , 263–287. [ Google Scholar ]
  • Tsaousis I (2016). The relationship of self-esteem to bullying perpetration and peer victimization among schoolchildren and adolescents: A meta-analytic review . Aggression and Violent Behavior , 31 , 186–199. [ Google Scholar ]
  • Ttofi M, Farrington DP, & Lösel FR (2012). School bullying as a predictor of violence later in life: A systematic review and meta-analysis of prospective longitudinal studies . Aggression and Violent Behavior , 17 , 405–418. [ Google Scholar ]
  • Varjas K, Talley J, Meyers J, Parris L, & Cutts H (2010). High school students’ perceptions of motivations for cyberbullying: An exploratory study . Western Journal of Emergency Medicine: Integrating Emergency Care with Population Health , 11 , 269–273. [ PMC free article ] [ PubMed ] [ Google Scholar ]
  • Vivolo-Kantor AM, Martell B, Holland K, & Westby R (2014). A systematic review and content analysis of bullying and cyberbullying measurement strategies . Aggression and Violent Behavior , 19 , 423–434. [ PMC free article ] [ PubMed ] [ Google Scholar ]
  • Whittemore R, & Knafl K (2005). The integrative review: Updated methodology . Journal of Advanced Nursing , 52 , 546–553. [ PubMed ] [ Google Scholar ]
  • Willis DG, & Griffith CA (2010). Healing patterns revealed in middle school boys’ experiences of being bullied using Roger’s Science of Unitary Human Beings (SUHB) . Journal of Child & Adolescent Psychiatric Nursing , 23 , 125–132. doi: 10.1111/j.1744-6171.2010.00234.x [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Winburn J, Winburn A, & Niemeyer R (2014). Media coverage and issue visibility: State legislative responses to school bullying . The Social Science Journal , 51 , 514–522. [ Google Scholar ]

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  • Teens and Cyberbullying 2022

Nearly half of U.S. teens have been bullied or harassed online, with physical appearance being seen as a relatively common reason why. Older teen girls are especially likely to report being targeted by online abuse overall and because of their appearance

Table of contents.

  • Acknowledgments
  • Methodology

Pew Research Center conducted this study to better understand teens’ experiences with and views on bullying and harassment online. For this analysis, we surveyed 1,316 U.S. teens. The survey was conducted online by Ipsos from April 14 to May 4, 2022.

This research was reviewed and approved by an external institutional review board (IRB), Advarra, which is an independent committee of experts that specializes in helping to protect the rights of research participants.

Ipsos recruited the teens via their parents who were a part of its  KnowledgePanel , a probability-based web panel recruited primarily through national, random sampling of residential addresses. The survey is weighted to be representative of U.S. teens ages 13 to 17 who live with parents by age, gender, race, ethnicity, household income and other categories.

Here are the  questions used for this report , along with responses, and  its methodology .

While bullying existed long before the internet, the rise of smartphones and social media has brought a new and more public arena into play for this aggressive behavior.

research report about bullying brainly

Nearly half of U.S. teens ages 13 to 17 (46%) report ever experiencing at least one of six cyberbullying behaviors asked about in a Pew Research Center survey conducted April 14-May 4, 2022. 1

The most commonly reported behavior in this survey is name-calling, with 32% of teens saying they have been called an offensive name online or on their cellphone. Smaller shares say they have had false rumors spread about them online (22%) or have been sent explicit images they didn’t ask for (17%).

Some 15% of teens say they have experienced someone other than a parent constantly asking them where they are, what they’re doing or who they’re with, while 10% say they have been physically threatened and 7% of teens say they have had explicit images of them shared without their consent.

In total, 28% of teens have experienced multiple types of cyberbullying.

Defining cyberbullying in this report

This report measures cyberbullying of teens using six distinct behaviors:

  • Offensive name-calling
  • Spreading of false rumors about them
  • Receiving explicit images they didn’t ask for
  • Physical threats
  • Constantly being asked where they are, what they’re doing, or who they’re with by someone other than a parent
  • Having explicit images of them shared without their consent

Teens who indicate they have personally experienced any of these behaviors online or while using their cellphone are considered targets of cyberbullying in this report. The terms “cyberbullying” and “online harassment” are used interchangeably throughout this report.

Age and gender are related to teens’ cyberbullying experiences, with older teen girls being especially likely to face this abuse

Teens’ experiences with online harassment vary by age. Some 49% of 15- to 17-year-olds have experienced at least one of the six online behaviors, compared with 42% of those ages 13 to 14. While similar shares of older and younger teens report being the target of name-calling or rumor spreading, older teens are more likely than their younger counterparts (22% vs. 11%) to say someone has sent them explicit images they didn’t ask for, an act sometimes referred to as cyberflashing ; had someone share explicit images of them without their consent, in what is also known as revenge porn (8% vs. 4%); or been the target of persistent questioning about their whereabouts and activities (17% vs. 12%).

A bar chart showing that older teen girls more likely than younger girls or boys of any age to have faced false rumor spreading, constant monitoring online, as well as cyberbullying overall

While there is no gender difference in having ever experienced online abuse, teen girls are more likely than teen boys to say false rumors have been spread about them. But further differences are seen when looking at age and gender together: 15- to 17-year-old girls stand out for being particularly likely to have faced any cyberbullying, compared with younger teen girls and teen boys of any age. Some 54% of girls ages 15 to 17 have experienced at least one of the six cyberbullying behaviors, while 44% of 15- to 17-year-old boys and 41% of boys and girls ages 13 to 14 say the same. These older teen girls are also more likely than younger teen girls and teen boys of any age to report being the target of false rumors and constant monitoring by someone other than a parent.

White, Black and Hispanic teens do not statistically differ in having ever been harassed online, but specific types of online attacks are more prevalent among certain groups. 2 For example, White teens are more likely to report being targeted by false rumors than Black teens. Hispanic teens are more likely than White or Black teens to say they have been asked constantly where they are, what they’re doing or who they’re with by someone other than a parent.

There are also differences by household income when it comes to physical threats. Teens who are from households making less than $30,000 annually are twice as likely as teens living in households making $75,000 or more a year to say they have been physically threatened online (16% vs. 8%).

A bar chart showing that older teen girls stand out for experiencing multiple types of cyberbullying behaviors

Beyond those differences related to specific harassing behaviors, older teen girls are particularly likely to say they experience multiple types of online harassment. Some 32% of teen girls have experienced two or more types of online harassment asked about in this survey, while 24% of teen boys say the same. And 15- to 17-year-olds are more likely than 13- to 14-year-olds to have been the target of multiple types of cyberbullying (32% vs. 22%).

These differences are largely driven by older teen girls: 38% of teen girls ages 15 to 17 have experienced at least two of the harassing behaviors asked about in this survey, while roughly a quarter of younger teen girls and teen boys of any age say the same.

Beyond demographic differences, being the target of these behaviors and facing multiple types of these behaviors also vary by the amount of time youth spend online. Teens who say they are online almost constantly are not only more likely to have ever been harassed online than those who report being online less often (53% vs 40%), but are also more likely to have faced multiple forms of online abuse (37% vs. 21%).

These are some of the findings from a Pew Research Center online survey of 1,316 U.S. teens conducted from April 14 to May 4, 2022.

Black teens are about twice as likely as Hispanic or White teens to say they think their race or ethnicity made them a target of online abuse

There are numerous reasons why a teen may be targeted with online abuse. This survey asked youth if they believed their physical appearance, gender, race or ethnicity, sexual orientation or political views were a factor in them being the target of abusive behavior online.

A bar chart showing that teens are more likely to think they've been harassed online because of the way they look than their politics

Teens are most likely to say their physical appearance made them the target of cyberbullying. Some 15% of all teens think they were cyberbullied because of their appearance.

About one-in-ten teens say they were targeted because of their gender (10%) or their race or ethnicity (9%). Teens less commonly report being harassed for their sexual orientation or their political views – just 5% each.

Looking at these numbers in a different way, 31% of teens who have personally experienced online harassment or bullying think they were targeted because of their physical appearance. About one-in-five cyberbullied teens say they were targeted due to their gender (22%) or their racial or ethnic background (20%). And roughly one-in-ten affected teens point to their sexual orientation (12%) or their political views (11%) as a reason why they were targeted with harassment or bullying online.

A bar chart showing that Black teens are more likely than those who are Hispanic or White to say they have been cyberbullied because of their race or ethnicity

The reasons teens cite for why they were targeted for cyberbullying are largely similar across major demographic groups, but there are a few key differences. For example, teen girls overall are more likely than teen boys to say they have been cyberbullied because of their physical appearance (17% vs. 11%) or their gender (14% vs. 6%). Older teens are also more likely to say they have been harassed online because of their appearance: 17% of 15- to 17-year-olds have experienced cyberbullying because of their physical appearance, compared with 11% of teens ages 13 to 14.

Older teen girls are particularly likely to think they have been harassed online because of their physical appearance: 21% of all 15- to 17-year-old girls think they have been targeted for this reason. This compares with about one-in-ten younger teen girls or teen boys, regardless of age, who think they have been cyberbullied because of their appearance.

A teen’s racial or ethnic background relates to whether they report having been targeted for cyberbullying because of race or ethnicity. Some 21% of Black teens report being made a target because of their race or ethnicity, compared with 11% of Hispanic teens and an even smaller share of White teens (4%).

There are no partisan differences in teens being targeted for their political views, with 5% of those who identify as either Democratic or Republican – including those who lean toward each party – saying they think their political views contributed to them being cyberbullied.

Black or Hispanic teens are more likely than White teens to say cyberbullying is a major problem for people their age

In addition to measuring teens’ own personal experiences with cyberbullying, the survey also sought to understand young people’s views about online harassment more generally.

research report about bullying brainly

The vast majority of teens say online harassment and online bullying are a problem for people their age, with 53% saying they are a major problem. Just 6% of teens think they are not a problem.

Certain demographic groups stand out for how much of a problem they say cyberbullying is. Seven-in-ten Black teens and 62% of Hispanic teens say online harassment and bullying are a major problem for people their age, compared with 46% of White teens. Teens from households making under $75,000 a year are similarly inclined to call this type of harassment a major problem, with 62% making this claim, compared with 47% of teens from more affluent homes. Teen girls are also more likely than boys to view cyberbullying as a major problem.

Views also vary by community type. Some 65% of teens living in urban areas say online harassment and bullying are a major problem for people their age, compared with about half of suburban and rural teens.

Partisan differences appear as well: Six-in-ten Democratic teens say this is a major problem for people their age, compared with 44% of Republican teens saying this.

Roughly three-quarters of teens or more think elected officials and social media sites aren’t adequately addressing online abuse

In recent years, there have been several initiatives and programs aimed at curtailing bad behavior online, but teens by and large view some of those behind these efforts – including social media companies and politicians – in a decidedly negative light.

A bar chart showing that large majorities of teens think social media sites and elected officials are doing an only fair to poor job addressing online harassment

According to teens, parents are doing the best of the five groups asked about in terms of addressing online harassment and online bullying, with 66% of teens saying parents are doing at least a good job, including one-in-five saying it is an excellent job. Roughly four-in-ten teens report thinking teachers (40%) or law enforcement (37%) are doing a good or excellent job addressing online abuse. A quarter of teens say social media sites are doing at least a good job addressing online harassment and cyberbullying, and just 18% say the same of elected officials. In fact, 44% of teens say elected officials have done a poor job addressing online harassment and online bullying.

Teens who have been cyberbullied are more critical of how various groups have addressed online bullying than those who haven’t

research report about bullying brainly

Teens who have experienced harassment or bullying online have a very different perspective on how various groups have been handling cyberbullying compared with those who have not faced this type of abuse. Some 53% of teens who have been cyberbullied say elected officials have done a poor job when it comes to addressing online harassment and online bullying, while 38% who have not undergone these experiences say the same (a 15 percentage point gap). Double-digit differences also appear between teens who have and have not been cyberbullied in their views on how law enforcement, social media sites and teachers have addressed online abuse, with teens who have been harassed or bullied online being more critical of each of these three groups. These harassed teens are also twice as likely as their peers who report no abuse to say parents have done a poor job of combatting online harassment and bullying.

Aside from these differences based on personal experience with cyberbullying, only a few differences are seen across major demographic groups. For example, Black teens express greater cynicism than White teens about how law enforcement has fared in this space: 33% of Black teens say law enforcement is doing a poor job when it comes to addressing online harassment and online bullying; 21% of White teens say the same. Hispanic teens (25%) do not differ from either group on this question.

Large majorities of teens believe permanent bans from social media and criminal charges can help reduce harassment on the platforms

Teens have varying views about possible actions that could help to curb the amount of online harassment youth encounter on social media.

A bar chart showing that half of teens think banning users who bully or criminal charges against them would help a lot in reducing the cyberbullying teens may face on social media

While a majority of teens say each of five possible solutions asked about in the survey would at least help a little, certain measures are viewed as being more effective than others.

Teens see the most benefit in criminal charges for users who bully or harass on social media or permanently locking these users out of their account. Half of teens say each of these options would help a lot in reducing the amount of harassment and bullying teens may face on social media sites.

About four-in-ten teens think that if social media companies looked for and deleted posts they think are bullying or harassing (42%) or if users of these platforms were required to use their real names and pictures (37%) it would help a lot in addressing these issues. The idea of forcing people to use their real name while online has long existed and been heavily debated: Proponents see it as a way to hold bad actors accountable and keep online conversations more civil , while detractors believe it would do little to solve harassment and could even  worsen it .

Three-in-ten teens say school districts monitoring students’ social media activity for bullying or harassment would help a lot. Some school districts already use digital monitoring software to help them identify worrying student behavior on school-owned devices , social media and other online platforms . However, these programs have been met with criticism regarding privacy issues , mixed results and whether they do more harm than good .

A chart showing that Black or Hispanic teens more optimistic than White teens about the effectiveness of five potential solutions to curb online abuse

Having personally experienced online harassment is unrelated to a teen’s view on whether these potential measures would help a lot in reducing these types of adverse experiences on social media. Views do vary widely by a teen’s racial or ethnic background, however.

Black or Hispanic teens are consistently more optimistic than White teens about the effectiveness of each of these measures.

Majorities of both Black and Hispanic teens say permanently locking users out of their account if they bully or harass others or criminal charges for users who bully or harass on social media would help a lot, while about four-in-ten White teens express each view.

In the case of permanent bans, Black teens further stand out from their Hispanic peers: Seven-in-ten say this would help a lot, followed by 59% of Hispanic teens and 42% of White teens.

  • It is important to note that there are various ways researchers measure youths’ experiences with cyberbullying and online harassment. As a result, there may be a range of estimates for how many teens report having these experiences. In addition, since the Center last polled on this topic in 2018, there have been changes in how the surveys were conducted and how the questions were asked. For instance, the 2018 survey asked about bullying by listing a number of possible behaviors and asking respondents to “check all that apply.” This survey asked teens to answer “yes” or “no” to each item individually. Due to these changes, direct comparisons cannot be made across the two surveys. ↩
  • There were not enough Asian American teen respondents in the sample to be broken out into a separate analysis. As always, their responses are incorporated into the general population figures throughout the report. ↩

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  1. Bullying at school and mental health problems among adolescents: a

    Prevalence of bullying at school and mental health problems. Estimates of the prevalence of bullying at school and mental health problems across the 12 strata of data (3 years × 2 school grades × 2 genders) are shown in Table 1.The prevalence of bullying at school increased minimally (< 1%) between 2014 and 2020, except among girls in grade 11 (2.5% increase).

  2. Bullying in schools: the state of knowledge and effective interventions

    Research on bullying started more than 40 years ago (Olweus, Citation 1973, 1978) and defined this behaviour as 'aggressive, ... Juvonen and Graham (Citation 2014) report that approximately 20-25% of youth are directly involved in bullying as perpetrators, victims, or both. Large-scale studies conducted in Western countries suggest that 4 ...

  3. Full article: Understanding bullying from young people's perspectives

    Introduction. With its negative consequences for wellbeing, bullying is a major public health concern affecting the lives of many children and adolescents (Holt et al. 2014; Liu et al. 2014 ). Bullying can take many different forms and include aggressive behaviours that are physical, verbal or psychological in nature (Wang, Iannotti, and Nansel ...

  4. Effectiveness of school‐based programs to reduce bullying perpetration

    Self‐report bullying measures (OBVQ) were administered at 4 time‐points: baseline and 6‐, 12‐, and 18‐month follow ups: ... The booklet presented vignettes and graphics that reported research findings on bullying in an attempt to raise students' awareness of this issue. The corresponding video showed teenagers talking about bullying ...

  5. Bullying: issues and challenges in prevention and intervention

    Bullying is a prevalent concern, with approximately 20% of youth in the United States reporting being victimized by this significant social stressor (Musu et al., 2019).Although prevention efforts have improved knowledge, attitudes, and self-perceptions about bullying, most programs demonstrate less significant change in actual bullying behaviors (Rettew & Pawlowski, 2016; Yeager et al., 2015).

  6. PDF The Impact of School Bullying On Students' Academic Achievement

    3. Sexual bullying: this refers to use dirty words, touch, or threat of doing. 4. Psychological bullying: harassment, threats and intimidation, humiliation and rejection from the group. 5. Bullying in social relations: preventing some individuals from exercising certain activities or reject their friendship or spreading rumors about others. 6.

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    Bullying in childhood is a global public health problem that impacts on child, adolescent and adult health. Bullying exists in its traditional, sexual and cyber forms, all of which impact on the physical, mental and social health of victims, bullies and bully-victims. Children perceived as 'different' in any way are at greater risk of ...

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    WASHINGTON — A special issue of American Psychologist® provides a comprehensive review of over 40 years of research on bullying among school age youth, documenting the current understanding of the complexity of the issue and suggesting directions for future research. "The lore of bullies has long permeated literature and popular culture.

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    Introduction. Research on school bullying has developed rapidly since the 1970s. Originating in social and psychological research in Norway, Sweden, and Finland, this body of research largely focusses on individualized personality traits of perpetrators and victims (Olweus, 1995).Global interest in this phenomenon subsequently spread and bullying research began in the United Kingdom, Australia ...

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    Key points. Bullying is seen as a moral issue, but a meta-analysis of research shows it's a medical issue. Bullying, along with child maltreatment, can do physical damage to important brain regions.

  12. Identifying and Addressing Bullying

    Bullying is a repeated and deliberate pattern of aggressive or hurtful behavior targeting individuals perceived as less powerful. Bullying manifests in various forms, such as physical, verbal, social/relational, and cyberbullying, each having unique characteristics. Vulnerable populations often at greater risk of being bullied are individuals ...

  13. Campus Bullying in the Senior High School: A Qualitative Case Study

    Abstract. The purpose of this qualitative case study was to describe the campus bullying experiences of senior high school students in a certain secondary school of Davao City, Philippines. Three ...

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    cial/Psychological: Harming someone's relationships or reputation.Bullying often occurs at schoo. , in the classroom, hallways, playground, athletic fields, or cafeteria. Bullying can take place in the neighborhood surrounding. a school, as students travel to and from school by bus, car, or walking. Additionally, bullying can also oc.

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    Bullying behavior is a serious problem among school-age children and adolescents; it has short- and long-term effects on the individual who is bullied, the individual who bullies, the individual who is bullied and bullies others, and the bystander present during the bullying event. In this chapter, the committee presents the consequences of bullying behavior for children and youth. As ...

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    43.8% compared to 2016 [6]. Types of bullying include ridicule and slander or swearing are what many students. experience to the point of reached 6.25%. Online bullying with computers and ...

  17. PDF A Critical Review ofLiterature: Understanding Bullying Behaviors

    Various reports and studies have established that approximately 15% of students are either bullied or initiate bullying behaviors on a regular basis. Due to ... John Hoover, a pioneer in research on bullying found that a significant number ofvictims reported experiencing social and academic trauma resulting from bullying. (Swearer, Cary, 2003 ...

  18. Conceptual Framework for Bullying

    Journal of Education Studies -Volume 7 │ Issue 7 │ 2020 95 Based on Figure 1, the hypothesis in this study is a form of physical bullying, verbal bullying, social exclusion, indirect and ...

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    As one in five youths report being the victim of bullying on school property, bullying can be seen as a public health concern for youths in the school setting (Kann et al., 2016). Consequently, school staff, especially school nurses, frequently encounter students who have been victims of bullying and suffer from adverse physical and emotional ...

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    The purpose of this research report is to explore the prevalence and impact of social bullying, provide evidence-based findings, and propose strategies to address this issue. According to a comprehensive study conducted by the National Bullying Prevention Center (2020), approximately 35% of students reported experiencing social bullying at ...

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    While bullying existed long before the internet, the rise of smartphones and social media has brought a new and more public arena into play for this aggressive behavior.. Nearly half of U.S. teens ages 13 to 17 (46%) report ever experiencing at least one of six cyberbullying behaviors asked about in a Pew Research Center survey conducted April 14-May 4, 2022. 1

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