Countries with exceptions to prohibitions of racial and/or ethnic discrimination
Exceptions for | Hiring | Promotions/Demotions | Training | Pay | Terminations |
---|---|---|---|---|---|
Small businesses | 5 (3%) | 3 (2%) | 4 (2%) | 3 (2%) | 4 (2%) |
Non-profits or Charities | 3 (2%) | 3 (2%) | 2 (1%) | 3 (2%) | 4 (2%) |
Religious Organizations | 14 (7%) | 13 (7%) | 14 (7%) | 9 (5%) | 14 (7%) |
The World Bank's (WB) regional classifications can be found here: https://datahelpdesk.worldbank.org/knowledgebase/articles/906519-world-bank-country-and-lending-groups . While Malta is classified as part of the Middle East and North Africa by the WB, it is also a member of the European Union (EU) and therefore more likely to have legislation reflecting the EU's principles and directives. Thus, we classified Malta as a part of Europe and Central Asia. All other countries retained their WB classifications.
Adisa , T.A. , Osabutey , E.L.C. , Gbadamosi , G. and Mordi , C. ( 2017 ), “ The challenges of employee resourcing: the perceptions of managers in Nigeria ”, The Career Development International , Vol. 22 No. 6 , pp. 703 - 723 .
Agocs , C. ( 2002 ), “ Canada's employment equity legislation and policy, 1987-2000: the gap between policy and practice ”, International Journal of Manpower , Vol. 23 No. 3 , pp. 256 - 276 .
Arceo-Gomez , E. and Campos-Vazquez , R. ( 2014 ), “ Race and marriage in the labor market: a discrimination correspondence study in a developing country ”, American Economic Review , Vol. 104 No. 5 , pp. 376 - 380 .
Baert , S. ( 2018 ), “ Hiring discrimination: an overview of (almost) all correspondence experiments since 2005 ”, Audit Studies: Behind the Scenes with Theory, Method, and Nuance , pp. 63 - 77 .
Bergman , M.E. , Langhout , R.D. , Palmieri , P.A. , Cortina , L.M. and Fitzgerald , L.F. ( 2002 ), “ The (un)reasonableness of reporting: antecedents and consequences of reporting sexual harassment ”, Journal of Applied Psychology , Vol. 87 No. 2 , pp. 230 - 242 .
Bertrand , M. and Duflo , E. ( 2017 ), “ Field experiments on discrimination ”, in Banerjee , A.V. and Duflo , E. (Eds), Handbook of Economic Field Experiments , Elsevier , Amsterdam , Vol. 1 , pp. 309 - 393 .
Buckman , S.R. , Choi , L.Y. , Daly , M.C. and Seitelman , L.M. ( 2021 ), The Economic Gains from Equity , Federal Reserve Bank of San Francisco Working Paper , San Francisco .
Calvo , E. , Mair , C. and Sarkisian , N. ( 2015 ), “ Individual troubles, shared troubles: the multiplicative effect of individual and country-level unemployment on life satisfaction in 95 Nations (1981-2009) ”, Social Forces , Vol. 93 No. 4 , pp. 1625 - 1653 .
Chay , K.Y. ( 1998 ), “ The impact of federal civil rights policy on black economic progress: evidence from the equal employment opportunity act of 1972 ”, Industrial and Labor Relations Review , Vol. 51 No. 4 , pp. 608 - 632 .
Cheong , C.W.H. and Sinnakkannu , J. ( 2014 ), “ Ethnic diversity and firm financial performance: evidence from Malaysia ”, Journal of Asia-Pacific Business , Vol. 15 No. 1 , pp. 73 - 100 , doi: 10.1080/10599231.2014.872973 .
Churchill , S.A. ( 2019 ), “ Firm financial performance in sub-Saharan Africa: the role of ethnic diversity ”, Empirical Economics , Vol. 57 No. 3 , pp. 1 - 14 .
Coleman , M.G. ( 2003 ), “ Job skill and Black male wage discrimination ”, Social Science Quarterly , Vol. 84 , pp. 892 - 906 .
Collins , W.J. ( 2003 ), “ The labor market impact of state-level anti-discrimination laws, 1940-1960 ”, Industrial and Labor Relations Review , Vol. 56 No. 2 , pp. 244 - 272 .
Couch , K.A. and Fairlie , R. ( 2010 ), “ Last hired, first fired? Black-white unemployment and the business cycle ”, Demography , Vol. 47 No. 1 , pp. 227 - 247 .
Creese , G. ( 2010 ), “ Erasing English language competency: African migrants in Vancouver, Canada ”, International Migration and Integration , Vol. 11 No. 3 , pp. 295 - 313 , doi: 10.1007/s12134-010-0139-3 .
Crenshaw , K. ( 1989 ), “ Demarginalizing the intersection of race and sex: a black feminist critique of antidiscrimination doctrine, feminist theory and antiracist politics ”, The University of Chicago Legal Forum , p. 139 .
del Mar Alonso-Almeida , M. ( 2014 ), “ Women (and mothers) in the workforce: worldwide factors ”, Women's Studies International Forum , Vol. 44 , pp. 164 - 171 .
Demetriou , C. ( 2016 ), “ The equality body finds that restrictions in access to self-employment for third country nationals amount to unlawful discrimination, Cyprus ”, European Commission , available at: https://www.equalitylaw.eu/downloads/3840-cyprus-the-equality-body-finds-that-restrictions-in-access-to-self-employment-for-third-country-nationals-amount-to-unlawful-discrimination-pdf-95-kb ( accessed 7 January 2022 ).
Derous , E. and Pepermans , R. ( 2019 ), “ Gender discrimination in hiring: intersectional effects with ethnicity and cognitive job demands ”, Archives of Scientific Psychology , Vol. 7 No. 1 , pp. 40 - 49 .
Di Stasio , V. and Larsen , E.N. ( 2020 ), “ The racialized and gendered workplace: applying an intersectional lens to a field experiment on hiring discrimination in five european labor markets ”, Social Psychology Quarterly , Vol. 83 No. 3 , pp. 229 - 250 .
Donohue , J.J. and Heckman , J. ( 1991 ), “ Continuous versus episodic change: the impact of civil rights policy on the economic status of blacks ”, Journal of Economic Literature , Vol. 29 No. 4 , p. 1603 .
Dostie , B. and Javdani , M. ( 2020 ), “ Immigrants and workplace training: evidence from Canadian linked employer–employee data ”, Industrial Relations , Vol. 59 No. 2 , pp. 275 - 315 .
Drydakis , N. ( 2012 ), “ Roma women in Athenian firms: do they face wage bias? ”, Ethnic and Racial Studies , Vol. 35 No. 12 , pp. 2054 - 2074 .
Erhardt , N.L. , Werbel , J.D. and Shrader , C.B. ( 2003 ), “ Board of director diversity and firm financial performance ”, Corporate Governance , Vol. 11 No. 2 , pp. 102 - 111 , doi: 10.1111/1467-8683.00011 .
Fredman , S. ( 2016 ), “ Intersectional discrimination in EU gender equality and non-discrimination law ”, European Commission .
Goldman , N. , Pebley , A.R. , Lee , K. , Andrasfay , T. and Pratt , B. ( 2021 ), “ Racial and ethnic differentials in COVID-19-related job exposures by occupational standing in the US ”, PLoS One , Vol. 16 No. 9 .
Gorod , B.J. ( 2007 ), “ Rejecting reasonableness: a new look at title VII's anti-retaliation provision ”, American University Law Review , Vol. 56 No. 6 , pp. 1469 - 1524 .
Greene , D.W. ( 2017 ), “ Splitting hairs: the Eleventh Circuit’s take on workplace bans against Black women’s natural hair in EEOC v. Catastrophe Management Solutions ”, University of Miami Law Review , Vol. 71 , p. 987 .
Hatch , S.L. , Gazard , B. , Williams , D.R. , Frissa , S. , Goodwin , L. , SelcoH , S.T. and Hotopf , M. ( 2016 ), “ Discrimination and common mental disorder among migrant and ethnic groups: findings from a South East London Community sample ”, Social Psychiatry and Psychiatric Epidemiology , Vol. 51 No. 5 , pp. 689 - 701 .
Herring , C. ( 2009 ), “ Does diversity pay?: race, gender, and the business case for diversity ”, American Sociological Review , Vol. 74 No. 2 , pp. 208 - 224 , doi: 10.1177/000312240907400203 .
Hunt , V. , Prince , S. , Dixon-Fyle , S. and Yee , L. ( 2018 ), Delivering Through Diversity , McKinsey & Company , Los Angeles .
Javdani , M. ( 2020 ), “ Visible minorities and job mobility: evidence from a workplace panel survey ”, The Journal of Economic Inequality , Vol. 18 , pp. 491 - 524 .
Javdani , M. and McGee , A. ( 2018 ), “ Labor market mobility and the early-career outcomes of immigrant men ”, IZA Journal of Development and Migration , Vol. 8 No. 1 , pp. 1 - 28 .
Justesen , P. ( 2016 ), “ Board of Equal Treatment ruling on so-called ‘language barrier’, Denmark ”, European Commission , available at: https://www.equalitylaw.eu/downloads/3920-denmark-board-of-equal-treatment-ruling-on-so-called-language-barrier-pdf-131-kb ( accessed 7 January 2022 ).
Keenan , J.P. ( 1990 ), “ Upper-level managers and whistleblowing: determinants of perceptions of company encouragement and information about where to blow the whistle ”, Journal of Business and Psychology , Vol. 5 No. 2 , pp. 223 - 235 .
Kislev , E. ( 2017 ), “ Deciphering the ‘ethnic penalty’ of immigrants in Western Europe: a cross-classified multilevel analysis ”, Social Indicators Research , Vol. 134 No. 2 , pp. 725 - 745 , doi: 10.1007/s11205-016-1451-x .
Law on Prevention of and Protection Against Discrimination ( 2010 ), “ Skopje: constitutional court of the republic of Macedonia ”, No. 82 , available at: https://www.refworld.org/pdfid/5aa12ad47.pdf .
Leck , J.D. and Saunders , D.M. ( 1992 ), “ Canada's employment equity act: effects on employee selection ”, Population Research and Policy Review , Vol. 11 No. 1 , p. 21 .
Leck , J.D. , St. Onge, S. and Lalancette , I. ( 1995 ), “ Wage gap changes among organizations subject to the employment equity act ”, Canadian Public Policy , Vol. 21 No. 4 , pp. 387 - 400 .
Lessem , R. and Nakajima , K. ( 2019 ), “ Immigrant wages and recessions: evidence from undocumented Mexicans ”, European Economic Review , Vol. 114 , pp. 92 - 115 .
Luksyte , A. , Waite , E. , Avery , D.R. and Roy , R. ( 2013 ), “ Held to a different standard: racial differences in the impact of lateness on advancement opportunity ”, Journal of Occupational and Organizational Psychology , Vol. 86 No. 2 , pp. 142 - 165 .
Mayiya , S. , Schachtebeck , C. and Diniso , C. ( 2019 ), “ Barriers to career progression of Black African middle managers: the South African perspective ”, Acta Universitatis Danubius Oeconomica , Vol. 15 No. 2 .
Mora , C. and Undurraga , E.A. ( 2013 ), “ Racialisation of immigrants at work: labour mobility and segmentation of Peruvian migrants in Chile ”, Bulletin of Latin American Research , Vol. 32 No. 3 , pp. 294 - 310 , doi: 10.1111/blar.12002 .
Murphy , G.C. and Athanasou , J.A. ( 1999 ), “ The effect of unemployment on mental health ”, Journal of Occupational and Organizational Psychology , Vol. 72 No. 1 , pp. 83 - 99 .
National Gender and Equality Commission Act ( 2012 ), “ Ch. 5C, Nairobi: national council for law reporting with the authority of the attorney-general ”, available at: www.kenyalaw.org .
Piazzalunga , D. ( 2015 ), “ Is there a double-negative effect? Gender and ethnic wage differentials in Italy ”, Labour , Vol. 29 No. 3 , pp. 243 - 269 .
Pillay , S. , Ramphul , N. , Dorasamy , N. and Meyer , D. ( 2018 ), “ Predictors of whistle-blowing intentions: an analysis of multi-level variables ”, Administration and Society , Vol. 50 No. 2 , pp. 186 - 216 .
Racial Discrimination Act ( 1975 ), “ Barton: attorney General's department, Australian government ”, available at: https://www.ag.gov.au/rights-and-protections/human-rights-and-anti-discrimination/australias-anti-discrimination-law .
Rafferty , A. ( 2020 ), “ Skill underutilization and under-skilling in Europe: the role of workplace discrimination ”, Work, Employment and Society , Vol. 34 No. 2 , pp. 317 - 335 .
Raub , A. , Sprague , A. , Waisath , W. , Nandi , A. , Atabay , E. , Vincent , I. , Moreno , G. , Earle , A. , Perry , N. and Heymann , J. ( 2022 ), “ Utilizing a comparative policy resource from the WORLD policy analysis center covering constitutional rights, laws, and policies across 193 countries for outcome analysis, monitoring, and accountability ”, Journal of Comparative Policy Analysis: Research and Practice , Vol. 24 No. 4 , pp. 313 - 328 , doi: 10.1080/13876988.2021.1894073 .
Seabury , S.A. , Terp , S. and Boden , L.I. ( 2017 ), “ Racial and ethnic differences in the frequency of workplace injuries and prevalence of work-related disability ”, Health Affairs , Vol. 36 No. 2 , pp. 266 - 273 .
Seidel , M.-D.L. , Polzer , J.T. and Stewart , K.J. ( 2000 ), “ Friends in high places: the effects of social networks on discrimination in salary negotiations ”, Administrative Science Quarterly , Vol. 45 No. 1 , pp. 1 - 24 .
Spafford , M.M. , Nygaard , V.L. , Gregor , F. and Boyd , M.A. ( 2006 ), “ ‘Navigating the different spaces’”: experiences of inclusion and isolation among racially minoritized faculty in Canada ”, The Canadian Journal of Higher Education , Vol. 36 No. 1 , pp. 1 - 27 .
Stalker , P. ( 1994 ), The Work of Strangers: A Survey of International Labour Migration , International Labour Office , Geneva .
Sunstein , C. ( 1996 ), “ On the expressive function of law ”, University of Pennsylvania Law Review , Vol. 144 No. 5 , pp. 2021 - 2053 .
Thomas , A. , Dougherty , J. , Strand , S. , Nayar , A. and Janani , M. ( 2016 ), Decoding Diversity: The Financial and Economic Returns to Diversity in Tech , Intel Corporation and Dalberg Global Development Advisors , New York .
Tomlinson , J. , Valizade , D. , Muzio , D. , Charlwood , A. and Aulakh , S. ( 2019 ), “ Privileges and penalties in the legal profession: an intersectional analysis of career progression ”, The British Journal of Sociology , Vol. 6 No. 70 , pp. 1043 - 1066 .
Turner , A. ( 2018 ), The Business Case for Racial Equity: A Strategy for Growth , W.K. Kellogg Foundation and Altarum , Battle Creek, MI .
United Nations Department of Economic and Social Affairs ( 2015 ), “ Reduce inequality within and among countries, goal 10 ”, available at: https://sdgs.un.org/goals/goal10 (accessed 17 September 2021) .
United Nations General Assembly ( 1948 ), “ Universal declaration of human rights, resolution 217 A (III) ”, available at: http://www.un.org/en/universal-declaration-human-rights/ ( accessed 15 July 2021 ).
United Nations General Assembly ( 1966 ), “ International covenant on economic, social and cultural rights ”, available at: https://www.ohchr.org/en/professionalinterest/pages/cescr.aspx ( accessed 16 July 2021 ).
United Nations Office of the High Commissioner for Human Rights ( 1965 ), “ International convention on the elimination of all forms of racial discrimination ”, available at: https://www.ohchr.org/en/professionalinterest/pages/cerd.aspx ( accessed 16 July 2021 ).
United Nations Office of the High Commissioner for Human Rights ( 1966 ), “ International convention on civil and political rights ”, available at: https://www.ohchr.org/en/professionalinterest/pages/ccpr.aspx ( accessed 16 July 2021 ).
United Nations Office of the High Commissioner for Human Rights ( 2021a ), “ Status of ratification interactive dashboard - International Covenant on Civil and Political Rights ”, available at: https://treaties.un.org/Pages/ViewDetails.aspx?chapter=4&clang=_en&mtdsg_no=IV-4&src=IND (accessed 16 July 2021) .
United Nations Office of the High Commissioner for Human Rights ( 2021b ), “ Status of ratification interactive dashboard - International Covenant on Economic, Social and Cultural Rights ”, available at: https://treaties.un.org/Pages/ViewDetails.aspx?src=IND&mtdsg_no=IV-3&chapter=4 (accessed 15 July 2021) .
United Nations Office of the High Commissioner for Human Rights ( 2021c ), “ Status of ratification interactive dashboard - International Convention on the Elimination of All Forms of Racial Discrimination ”, available at: https://treaties.un.org/Pages/ViewDetails.aspx?src=IND&mtdsg_no=IV-2&chapter=4&clang=_en (accessed 16 July 2021) .
Weichselbaumer , D. ( 2020 ), “ Multiple discrimination against female immigrants wearing headscarves ”, ILR Review , Vol. 73 No. 3 , pp. 600 - 627 .
Yap , M. ( 2010 ), “ The intersection of gender and race: effects on the incidence of promotions ”, Canadian Journal of Career Development , Vol. 9 No. 2 , pp. 22 - 32 .
Yap , M. and Konrad , A.M. ( 2009 ), “ Gender and racial differentials in promotions: is there a sticky floor, a mid-level bottleneck, or a glass ceiling? ”, Relations Industrielles/Industrial Relations , Vol. 64 No. 4 , pp. 593 - 619 .
Yu , H. ( 2020 ), “ Multiracial feminism: an intersectional approach to examining female officers’ occupational barriers in federal law enforcement ”, Women and Criminal Justice , Vol. 31 No. 5 , pp. 327 - 341 , doi: 10.1080/08974454.2020.1734146 .
Zabalza , Z. and Zafiris , T. ( 1985 ), “ The effect of Britain's anti-discriminatory legislation on relative pay and employment ”, The Economic Journal , Vol. 95 No. 379 , pp. 679 - 699 .
Zempi , I. ( 2020 ), “ ‘Looking back, I wouldn't join up again’: the lived experiences of police officers as victims of bias and prejudice perpetrated by fellow staff within an English police force ”, Police Practice and Research: An International Journal , Vol. 2 No. 21 , pp. 33 - 48 .
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Discussion guide on ageism in Canada [ PDF - 341 KB ]
The Forum of Federal, Provincial and Territorial (FPT) Ministers Responsible for Seniors (the Forum) has been working to address the social and economic impacts of ageism on older adults in Canada. Part of this work is to undertake consultations on ageism. The goal of the consultations will be to obtain a broader picture of how ageism is manifested. The Forum wants to better understand the impacts of ageism at the individual level, and at the community level. The consultations will also inform the development of a final report proposing approaches, initiatives and strategies to address ageism.
This discussion guide provides a background for participants to prepare to take part in the consultation. This guide can be used alongside the consultation toolkit as a resource for planning these conversations. This discussion guide focuses on ageism directed towards older adults.
This document was developed within the context of the United Nations Decade of Healthy Ageing (2021 to 2030), which includes the goal to combat ageism by changing how people think, feel, and act towards age and aging. Reference i
Consultation toolkit: Are you interested in hosting a group discussion on ageism? A consultation toolkit is available to help guide organizations that wish to host their own group discussion and contribute to the national conversation on ageism.
Ageism is complex. To help facilitate discussions, participants will discuss ageism through 5 themes:
The following questions will guide the discussions for each theme:
Throughout the guide, there are text boxes that provide the “key findings” from research in each of the 5 themes and provide the reader with a quick summary of each topic. Further explanation of these findings and the references for them can be found in the main text. Note that examples of initiatives to address ageism are available in Annex 1 .
Another way to provide input is by participating in the online platform . The online platform includes a questionnaire and the opportunity to share your story on ageism.
A “What We Heard” report that summarizes input from the consultations will be available online. This will inform a subsequent Policy Options Report, to be submitted to FPT Ministers for their consideration. This report will propose approaches, initiatives, and strategies to address ageism in Canada.
Key findings:
The World Health Organization defines ageism as “the stereotypes (how we think), prejudice (how we feel) and discrimination (how we act) towards others or oneself based on age.” Reference ii This discussion guide focuses on ageism directed towards older adults. Footnote 1 However, it is important to acknowledge that ageism can affect people of any age. Ageism can also be perpetrated by a wide range of actors (for example, younger people, employers, governments, media, health and social care systems, and older adults themselves).
Ageism includes both attitudes and beliefs towards older adults, as well as actions resulting from these attitudes and beliefs. Ageism can take many forms. Some examples of ageism include:
While society widely condemns other forms of discrimination such as racism and sexism, ageism remains accepted and unchallenged in many circumstances.
There has been limited research conducted on ageism in Canada. A Canadian survey found 63% of older adults surveyed felt they had been treated unfairly based on their age. Younger people, health care professionals, government policies, and employers were the most identified sources of age discrimination. Reference iii
Ageism is associated with a number of negative outcomes for older adults, such as reduced longevity, poverty and financial insecurity, poor health outcomes, and loss of self-esteem and confidence. Reference ii , Reference iv
A stereotype is a belief that is generalized towards a whole group of people. Stereotypes can be both positive representations (for example, older people are sweet and friendly) and negative representations (for example, older people are forgetful).
Some common stereotypes about older adults are:
Stereotypes can be harmful. Over time, older people may begin to believe the stereotypes and negative views of aging that are present in society; some researchers call this “self-ageism”. When this happens, the stereotypes may become a self-fulfilling prophecy. Reference v For example, a stereotype about older adults is that they are all frail and dependent, and need to be cared for. Over time, older people may come to believe that they are unable to care for themselves and this may lead them to actually becoming dependent.
Age is only one aspect of a person’s identity. Other aspects of a person’s identity can influence their experience of ageism, as can other forms of discrimination such as sexism and racism. Research shows how age, gender, and ethnicity can intersect to create unique experiences of ageism. For example, older women face more discrimination than older men in hiring processes due to age-based and sex-based discrimination. Reference iv
In order to address ageism, governments, older adult organizations, and other stakeholders have implemented a variety of types of initiatives. Reference ii Annex 1 provides examples of common types of initiatives to address ageism, including intergenerational programs, initiatives to support older workers, ageism education and awareness campaigns, and age-friendly initiatives. While there has been limited research on the effectiveness of initiatives to address ageism, the available research suggests that initiatives that combine intergenerational interactions between older and younger generations with education are particularly promising. Reference iv
In the past, most Canadians retired permanently by age 65. Today, however, many Canadians are delaying retirement, or are retiring but continue to work part-time. In 2015, about 1 in 5 older Canadians continued to work past the age of 65. Reference vi Despite many older adults remaining in the workforce, ageist attitudes and age-based discrimination may continue to act as barriers to participating in the workforce.
Research has shown that employers often believe stereotypes about older workers. Reference vii Some of these stereotypes are positive (for example, older workers are loyal and reliable), but others are negative (for example, older workers are less productive). Reference vii Negative stereotypes can lead to age-based discrimination towards older workers.
For example, research has shown that:
Exposure to, and acceptance of, negative stereotypes may cause older workers to lose confidence in their abilities. They may see less value in themselves as employees, and consider retiring as a result. Reference xi
While ageist employers and work environments can act as barriers to older workers participating in the workforce, the participation of older adults in the workforce has benefits for older adults, businesses, and society as a whole:
The majority of older Canadians are in good health; however, healthcare utilization does tend to increase as people get older, particularly for older adults at advanced ages or in the final years of life. Reference xiv , Reference xv For example, use of physician services increases from an annual average of 12.5 services per person aged 65 to 69 to 20.2 services per person aged 80 to 84 to 29.5 services per person aged 94 and up. Reference xiv Research has shown that ageism can impact the health of older Canadians by:
These impacts in turn can lead to increased costs for individuals and the health care system. This is described further in the section on Economic Impacts below.
In a review of 422 studies on ageism and health from around the world, 95.5% of the studies found ageism negatively impacted the health of older adults through structural (for example, hindering access to health care, exclusion from health research) and individual effects (for example, contributing to mental and physical illness, risky health behaviours). Reference xvi
There are 3 pathways through which ageism may directly affect the health of individual older adults: Reference xvii
Self-ageism occurs when older adults begin to accept negative stereotypes about themselves. Research suggests that self-ageism can have a significant impact on physical and mental health. Research has shown that people with positive beliefs about aging:
Ageism can also be expressed through the attitudes and behaviours of health care providers and the health care system. This can lead to the delivery of poor quality health care. For example:
The education offered to health care providers on caring for older people is often limited and inadequate. Researchers suggest that requiring robust geriatric content to be included in medical education may improve the diagnosis and treatment of older adults. Reference iv
Researchers attempted to calculate the costs of ageism on health conditions for people aged 60 and up in the United States. The researchers estimated that the annual cost of ageism to the United States health care system was $63 billion. Footnote 3
The researchers also estimated that a 10% reduction in the prevalence of ageism could lead to 1.7 million fewer cases of 8 major heath conditions. Reference xxv
In addition to producing costs for the health care system, health issues can lead to direct financial costs for individuals and their families. For example, the costs of purchasing medications or taking time off work to go to the doctor.
Social inclusion “describes how a society values all of its citizens, respects their differences, ensures everyone’s basic needs are met, and welcomes and enables full participation in that society.” Reference xxvi Inclusive societies support the economic and social inclusion of older people, including those who are vulnerable or at increased risk of exclusion. Reference xxvii Previous consultations with older adults in Canada have identified ageism as a barrier to social inclusion. Reference xxvii
In recent years social isolation and loneliness Footnote 4 have become important public health concerns. Social isolation and loneliness have been linked to health conditions such as depression, cardiovascular disease, and dementia, as well as mortality. Reference xxviii , Reference xxix , Reference xxx During the COVID-19 pandemic, physical distancing has been associated with mental distress. Reference xxxi
Researchers believe that ageism contributes to loneliness among older adults through:
A recent study from the United States found that social isolation (though not loneliness) had significant costs for the health care system. The study found that, on average, an extra $1,608 was spent each year on each socially isolated older adult. This amounted to $6.7 billion in additional health care costs. Reference xxxiii Another recent study from the United States reported that loneliness and social isolation can have combined effects. This study found older adults who were both lonely and socially isolated had higher health care costs than those who were just lonely or just socially isolated. Reference xxxiv
Older adults should feel safe and secure in their home and community. Shelter is one of the most basic human needs, however, not all older Canadians have access to affordable, suitable, and adequate housing. Reference xxxv
Safety and security also means being free from any form of senior abuse. Footnote 5 Although there is no national definition of senior abuse, it is generally understood as “any action by someone in a relationship of trust that results in harm or distress to an older person”. This can include physical, sexual, psychological, emotional, and financial abuse and neglect. Reference xxxvi
Housing is one of the most important determinants of health. Lack of access to good quality and affordable housing can impact physical and mental health through safety and environmental issues (for example, mold, overcrowding), as well as psychological distress caused by housing insecurity. Reference xxxvii
Ageism can impact older adults’ access to a safe living space. As access to housing is strongly linked to income, ageism in employment can hinder older adults’ access to housing. In the rental market, landlords and housing providers may discriminate against older adults by: avoiding renting to older adults; imposing unfair internal rules in seniors’ housing (for example, limiting or preventing visitors); or refusing to make necessary repairs or modifications to address the health needs of older tenants. Reference xxxviii Ageist policies and practices also lead to housing and neighbourhoods being built without the accessibility features needed by older adults and people living with disabilities. Reference xxxviii , Reference xxxix
Ageism is also a risk factor for senior abuse. Reference xl Negative societal views about older adults can contribute to the acceptance of the mistreatment and neglect of older adults as a given within society. Reference xl , Reference xli , Reference xlii Due to ageism, service providers, health care professionals, and the general public may fail to recognize senior abuse, view it as a less serious issue, or adopt paternalistic approaches for dealing with senior abuse. Reference xli , Reference xliii For example, ageism may lead to:
Self-ageism may result in older adults who are being abused normalizing their situation or not recognizing it as abuse. Older adults may be reluctant to report senior abuse due to feeling voiceless and powerless within society. Reference xli
Ageism can hinder the ability of older adults to access affordable and accessible housing. Homelessness and lack of access to affordable housing have costs for society, as well as individuals. High housing costs can cause older adults to forego other necessities of daily life (for example, food, medications). Reference xxxviii At the societal level, research from the United States suggests that investing in permanent housing interventions for older adults who are homeless could result in reductions in housing and health care costs of up to $2,200 per person depending on the community and needs of the older adult. Reference xlv
Research suggests ageism is a risk factor for senior abuse. In addition to the psychosocial impacts, senior abuse has costs for individuals, businesses, and society. Costs of senior abuse include:
Media Footnote 6 play a significant role in shaping our views and understanding of the world. It is important to consider how older adults are represented and discussed in the media and in social media Footnote 7 .
Researchers have observed 3 trends in representations of older adults in media:
While positive stereotypes of older adults may not seem harmful, they can present unrealistic expectations for aging. The concept of “successful aging” refers to the absence of health conditions and/or physical limitations. Media may showcase older adults who are aging well as an example for others to follow. Reference xlvii However, researchers have criticized successful aging as stigmatizing older adults who are unable to meet these standards. Reference iv
Portrayals of older adults in the media can contribute to ageism between older and younger generations and within older generations. Reference iv Older and younger generations may have limited in-person contact with each other. Media can therefore play an important role in shaping how these generations perceive each other. Media may portray a growing older adult population as an unfair burden on younger generations and as a threat to the sustainability of health care and pension systems. Reference xlviii
As described in the previous sections, ageist attitudes and beliefs can result in costs for society and older adults in a variety of areas (for example, employment, health and health care, social isolation and loneliness, housing, senior abuse). Media and social media contribute to these economic costs through negative messages about the older adult population and stereotypical portrayals of older adults which influence the development of ageist attitudes and beliefs within society. For example, research shows when older workers accept negative media portrayals they are less satisfied with their work. They are more likely to want to leave their workplace, which results in a negative impact on the workforce and economy. Reference xlix
The COVID-19 pandemic has highlighted ageism within Canadian society and intensified ageism towards older adults in several of the theme areas. Reference xlvii In some cases, expressions of ageism have been explicit, including hostility towards older adults (for example, use of the hashtag #BoomerRemover on social media), blaming older adults for pandemic restrictions, and discriminating against older adults in health care decisions. In other cases, ageism has been unintentionally expressed through statements that portray older adults as vulnerable or helpless dependents and compare older adults to other age groups.
The COVID-19 pandemic has particularly impacted ageism related to health and health care. The majority of COVID-19 deaths in Canada (over two-thirds) have occurred in long-term care homes. Reference l Systemic ageism has been identified as a factor that has contributed to the longstanding neglect of long-term care homes in Canada (for example, historic underfunding, inadequate staffing levels, poor quality of care) and the failure to adequately prepare long-term care homes during the first waves of the pandemic and to equip them to manage subsequent waves. Consequently, systemic ageism contributed to the high rates of deaths experienced in long-term care during the pandemic. Reference li
The COVID-19 pandemic has also brought into question the value of the lives of older people in Canada. Age has been discussed or proposed as an exclusion criterion to be used in some critical care triage protocols in the event of insufficient health care resources during the pandemic. Reference lii
A review of 110 documents produced by the media, academics, older adults, and government in Canada during the pandemic found that the need to protect older adults and address issues within the health care system (for example, neglect in long-term care) have been prominent themes. Reference xlvii However, underlying these themes have been primarily negative depictions of aging and older adults who have been portrayed as vulnerable and victims of the pandemic. Furthermore, the costs and challenges of caring for older adults are common points of discussion. It is often implied that older adults are a burden on the health care system. Such portrayals reinforce the stereotype that older adults are helpless dependents and fail to recognize the diversity and contributions of the older adult population. These portrayals also promote narratives of comparison and competition between older adults and younger age groups and contribute to intergenerational tensions. Reference xlvii
There are significant gaps in knowledge and research about ageism. These gaps should also be taken into account when thinking about ageism and potential solutions for addressing ageism. For example:
Ongoing research and consultations on ageism such as these, are a first step to help address gaps in our knowledge about ageism and gain a better understanding of experiences of ageism in Canada. This knowledge will contribute to the development of approaches, initiatives, and strategies to address ageism in Canada, and will contribute to Canada’s work supporting the UN Decade of Healthy Ageing.
Initiatives to address ageism are usually started by government or older adult organizations. Most initiatives to address ageism have focused on social inclusion, employment, or health care. Reference iv While not intended to be an exhaustive list, below are examples of common types of initiatives to address ageism.
Intergenerational programs (for example, intergenerational arts classes, skill-sharing programs, etc.) are a popular type of initiative that facilitates interactions between older and younger generations. Reference iv Programs that facilitate intergenerational contact have a significant impact on younger people’s attitudes towards older adults. These types of interventions are most effective when paired with educational interventions. Reference liii
Some examples of these types of initiatives include:
Supporting older workers has been an important focus of government initiatives, with programs targeting older workers (for example, employment training programs) and employers (for example, wage subsidies for hiring older workers). Governments have also taken steps to reform pension systems (for example, provide incentives in pension policy for people to work longer) and change legislation (for example, anti-discrimination legislation). Evidence on the effectiveness of initiatives to promote the workforce participation of older adults has been limited. Reference iv
Governments and older adult organizations have introduced campaigns to increase education and awareness about ageism. They have also run campaigns to more generally celebrate older adults (for example, Seniors’ Weeks) or address specific issues (for example, senior abuse). These campaigns have not been evaluated to determine whether they impact individuals’ behaviours or decrease ageism. Reference iv
While not exclusively targeting ageism, initiatives to build age-friendly communities are a common way to promote the social inclusion of older adults. While there has been limited evaluation of these types of programs, they may be a way to reduce negative attitudes and discrimination towards older adults. Reference iv
In Canada, age-friendly initiatives are often based on the age-friendly cities concept of the World Health Organization’s Global Age-Friendly Cities: A Guide. Reference lxiv Age-friendly environments are also an action area of the UN Decade of Healthy Ageing, with the goal of ensuring that communities foster the abilities of older people. The Public Health Agency of Canada has produced resources to guide communities that want to be age‑friendly. All ten provinces support age-friendly community initiatives. Reference lxv
Promoting the social inclusion of older adults is also one of the objectives of Employment and Social Development Canada’s New Horizons for Seniors Program (NHSP). NHSP projects have used a wide variety of approaches to promote the social inclusion of older adults.
Some examples of initiatives include:
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1 Demographic Change and Healthy Ageing Unit, Department of Social Determinants of Health, World Health Organization, 1202 Geneva, Switzerland
2 Department of Public Health, Ben-Gurion University of the Negev, Beer-Sheva 8410501, Israel; li.ca.ugb@hcsalle
3 Louis and Gabi Weisfeld School of Social Work, Bar Ilan University, Ramat Gan 5290002, Israel; ude.hoimaim@3syor (S.R.); [email protected] (L.A.)
Associated data.
The data presented in this study are available in the article and supplementary material .
Systematic efforts have been carried out to study ageism against older populations. Less is known about ageism against younger populations, including how it is defined, how it manifests, its effects, and how it can be addressed. A scoping review was conducted aimed at identifying available evidence on these topics. A comprehensive search strategy was used across thirteen databases, including PubMed, EMBASE, and CINAHL. Records were screened by two independent reviewers. Data extraction was done by one rater and independently reviewed by a second rater. Of the 9270 records identified, 263 were eligible for inclusion. Most of the evidence focused on the manifestation of ageism (86%), followed by a focus on the determinants of ageism (17%), available interventions to address ageism (9%), and the effects of ageism (5%). This study points to the inconsistent terminology used to describe ageism against younger populations and the relatively limited theoretical rationale that guides existing studies. It also highlights key research gaps and points to the strengths of existing research.
Ageism, defined as the stereotypes, prejudice, and discrimination towards people on the basis of their age [ 1 ] can affect any age group. It can be directed towards others or towards oneself (e.g., self-directed ageism). To date, most of the existing literature on the topic has focused on ageism as it affects older adults, including several systematic reviews on the determinants, impact, and measurement of ageism and on available strategies to reduce this phenomenon [ 2 , 3 , 4 , 5 ]. These same issues, however, have not been adequately or systematically explored in relation to younger age groups, including children, young adults, and middle-aged people [ 6 ]. This is particularly concerning given available data from several large scale social surveys showing that younger people, more so than other age groups, report exposure to discrimination based on age [ 7 , 8 ], and elicit more negative feelings than older adults among the public [ 9 ]. Moreover, past research has stressed how common it is for younger people to have to take on precarious, unstable jobs [ 10 ] or unpaid internships [ 11 ], and how they tend to be most affected during financial crises [ 12 ]. As ageism is directed towards any age group and has shown to have a negative impact on older adults [ 5 ], it is essential to review and summarize existing research concerning ageism directed towards younger populations.
To explore the current knowledgebase concerning ageism as it affects younger people, this study conducted a scoping review of available literature regarding ageism against younger populations, defined as those under 50 years of age for the purpose of this study. The rationale for including this age cut-off is that most evidence synthesis exploring ageism has included studies where people over the age of 50 were the target population [ 2 , 3 , 4 , 5 ]. As past research has mainly addressed ageism in the second half of life, the scope of this review was on ageism towards this broader category of people under the age of 50, rather than towards smaller age groups. Where specific aspects applied only to a given age group or life stage (e.g., adolescence), this has been highlighted. A scoping review methodology was used as this type of knowledge synthesis is particularly useful when: (a) no prior synthesis has been undertaken on the topic; (b) studies have employed a range of data collection and analysis techniques; and (c) a narrow review question cannot be defined [ 13 , 14 , 15 ]. Scoping reviews are intended to provide analytical interpretation of the literature, identify key concepts, and types of evidence and may also provide the background for full systematic reviews or identify areas where existing research is limited or lacking [ 16 , 17 , 18 , 19 ].
This review was guided by the following five questions: (1) “What terms are used to refer to ageism towards younger populations?”, (2) “How prevalent is ageism towards younger populations and how does it manifest?”, (3) “What are the determinants of ageism towards younger populations?”, (4) “What are the effects of ageism towards younger populations?”, and (5) “What strategies exist to tackle ageism towards younger populations?”. The present study aims to serve as a platform for future research and policy on the topic of ageism against younger populations by summarizing existing evidence and pointing to potential knowledge gaps.
The scoping review methodology was based on the framework outlined by Arksey and O’Malley and ensuing recommendations [ 14 , 20 , 21 ]. The review included the following key phases: (1) identifying the research question(s), (2) identifying relevant studies, (3) study selection, (4) charting the data, and (5) collating, summarizing, and reporting the results. The conceptual framework of ageism used in this scoping review was the one proposed by Iversen and colleagues [ 22 ].
The search strategy was developed by VFN in consultation with an information specialist. The primary search terms focused on the concepts of ageism (e.g., ageism, ageist) and younger populations (e.g., young population and middle-aged). The Boolean term “AND” was used between these two primary concepts. Additional terms used in the literature to specifically refer to ageism towards younger populations were also included (e.g., “youthism”, “kiddism”, and “adultism”). See Table S1 for the search strategy that was used for PubMed and translated to other databases.
The initial search was conducted on 29 May 2019, in 13 electronic databases, including Campbell, CINAHL, Cochrane, DARE, EBSCO, EMBASE, GMI, GreyLit, OpenGrey/GreyNet, ProQuest, Prospero, PsycInfo, and PubMed. No year restrictions were applied. The databases were selected to be comprehensive and to cover a broad range of disciplines.
A snowball search was conducted to identify additional records by using Google Scholar’s “cited by” and “related to” functions for each of the articles included in the original search [ 23 ]. The results of all searches were entered into the Covidence software program for reviews [ 24 ] and duplicates were removed.
A two-stage screening process was used to assess the relevance of studies identified in the search. First, titles and abstracts were screened by two independent reviewers (ECS and SR) with disagreements resolved through consensus with a third reviewer (VFN or LA). The full text of shortlisted articles was subsequently reviewed by two independent raters among the authors with disagreements resolved by a third reviewer. Eligible studies met the following inclusion criteria: (a) full text available in English, Spanish, or French with non-English language articles having English abstracts available, (b) peer-reviewed publication including both quantitative and qualitative research, and (c) research that focuses on ageism towards younger people (defined as those aged 50 or below). For articles that could not be obtained through institutional holdings available to the authors, attempts were made to contact the source author or journal for assistance in procuring the article. Opinion pieces, book chapters, theoretical discussions, and articles providing a description of a policy or law with no empirical findings were excluded. Studies including a study sample with an age cross-over (e.g., participants between ages 45 and 55) were also excluded. The search flow is represented in Figure 1 .
Study selection flowchart.
A draft charting table based on the Cochrane data extraction tool was used. It included the following overarching themes: key study identifiers, study methodology, study sample characteristics, and study details/results. The charting table was piloted and refined by VFN and LA who independently charted the first ten studies to determine whether the approach to data extraction was consistent with the research questions and purpose [ 20 , 21 ]. The remaining studies were charted by one author (among all authors), with another author independently reviewing and confirming the data extraction. Disagreements were discussed among the authors until a consensus was reached.
The data were compiled in a single spreadsheet using Microsoft Excel for validation and coding. Data that met all inclusion criteria were summarized descriptively and a narrative synthesis was conducted to respond to each of the predefined research questions [ 25 ].
A total of 263 articles were included, published between 1970 and 2019 (see Figure 1 ). As can be seen in Figure 2 , the number of articles increased substantially from an average <5 for the first two decades of research on ageism to over 20 articles in 2017.
Publications per year on ageism against younger populations.
A total of 60 different countries are represented in the studies included in the scoping review. The vast majority of studies were conducted in the United States of America ( n = 145) followed by the United Kingdom ( n = 25), China ( n = 17), Germany ( n = 15), Australia ( n = 12), and Canada ( n = 11). Only 22 studies were conducted in two or more countries, simultaneously.
University and college students were the most common study samples ( n = 106). Other study samples included, employers and HR professionals, employees in various sectors, community dwellers, preschool children, primary and secondary school students, older adults living in nursing homes or assisted living communities, and people participating in intergenerational programs. In the vast majority of studies, women were either equally represented or more represented than men. The target age groups studied ranged between 0 and 49 years, with most studies looking at various age groups. Only a handful of studies looked specifically at populations below 18 as the target of ageism ( n = 26). Over half of the studies examined younger populations against older populations (50 years old and above) to demonstrate ageism ( n = 175).
The research evidence in this area mainly comes from quantitative studies ( n = 217). A relatively smaller number of studies used qualitative methodology ( n = 53), with some studies ( n = 7) using both quantitative and qualitative methods.
Of the 263 publications included in the scoping review, most focused on the manifestation of ageism (86%), followed by a focus on the determinants of ageism (17%), interventions to tackle ageism (9%), and effects of ageism (5%) (see Table 1 ). Many of these publications explored multiple questions as illustrated in Figure 3 . Table S2 presents the main characteristics of the 263 studies, organized alphabetically.
Topics addressed by the studies included in the scoping review.
Main areas of study of available research on ageism against younger populations.
Main Area of Study | Num. Records | Num. Articles | % of Articles | Articles |
---|---|---|---|---|
Determinants of ageism | 52 | 44 | 17% | [ , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ] |
Manifestation of ageism | 267 | 225 | 86% | [ , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ] |
Effects of ageism | 14 | 12 | 5% | [ , , , , , , , , , , , ] |
Interventions to tackle ageism | 34 | 25 | 9% | [ , , , , , , , , , , , , , , , , , , , , , , , , ] |
NOTE. Records may be higher than articles as several articles included more than one sample.
The articles used a variety of terms to refer to ageism towards younger populations, including not only ageism [ 71 , 140 , 206 ], but also reverse ageism [ 219 ], age-based bias [ 37 , 40 , 68 , 69 , 78 , 158 , 196 ], childism [ 194 ], and adultism [ 96 , 101 , 111 , 211 ].
Although initially defined as only regarding biases against older individuals, the term ageism is increasingly being used to apply to individuals across the spectrum of age, both old and young [ 178 , 252 ]. In turn, reverse ageism is generally used to refer to ageism directed at younger adults, who tend to be broadly defined as people in their 20s and 30s [ 219 ], and childism is used in the literature to specifically refer to a kind of unique bias against children [ 194 ].
The term adultism is used to refer to the stereotypes, feelings and behaviors of adults towards children and youth, which are based on the assumption that youth and children are naïve, inexperienced, or incompetent and that adults know better and are thus entitled to act upon them without their agreement [ 96 , 211 ]. Adultism represents the structural power that adults have over children in our society. Adultism can manifest in many ways including over-victimizing youth, infantilizing youth, romanticizing youth, and tokenizing youth and is often reinforced by social institutions, laws, and customs [ 101 , 111 ].
3.3.1. the overall prevalence and manifestation of ageism towards younger populations.
Only two of the studies included in the scoping review aimed at estimating the overall prevalence of ageism towards younger populations (e.g., did not focus on its prevalence in a specific sector like employment). Using the European Social Survey data, these two studies estimated the prevalence of age-based discrimination in 29 countries, reporting highest levels of perceived age discrimination among younger respondents, and a U-shaped distribution of age-discrimination, with greater levels among older and younger adults than middle-aged people [ 6 , 9 ].
Other studies looking at ageism outside of any one setting or institution ( n = 93) explored the ways in which it manifests, including whether younger populations trigger specific stereotypes and prejudice in relation to their personality, emotions, performance, mental and physical capacity, vitality, physical appearance, and sexuality. For example, one study examined the content and consistency of age stereotypes across more than 20 countries, finding important differences in the ratings of adolescents, adults and older adults with regards to traits such as impulsivity, activity, and openness. The study found that raters across countries tended to share similar beliefs about different age groups with adolescents seen as impulsive, rebellious, and undisciplined [ 97 ]. A meta-analysis of papers on attitudes towards younger and older people, found that younger people were rated less stereotypically, seen as more attractive and more competent, and were evaluated more favorably than older adults [ 46 ].
A total of 21 different studies examined the manifestation of ageism towards younger people in communication and social relations, including intergenerational relations. Research shows that younger adults tend to interact with same age peers [ 103 , 155 , 168 , 186 , 199 , 244 ] and to hold positive interpersonal attitudes towards their own age group [ 134 , 155 , 205 , 244 ].
Research also found that younger people felt being patronized in interpersonal relations with older adults [ 137 ] and that both age groups rely on age stereotypes in interpersonal relations [ 171 ]. When opportunities for intergenerational relationships and shared spaces arose, age-based stereotypes were less likely to be applied [ 112 ].
Results concerning older adults’ attitudes towards younger people were mixed with some studies suggesting that older adults prefer younger people [ 98 , 103 ] or hold positive attitudes towards younger populations [ 200 ]. Other studies did not find this age-based preference or even reported negative stereotypes and prejudice from older persons towards younger persons [ 106 ].
The vast majority of the literature exploring the manifestation of ageism has focused on its occurrence in specific settings or sectors, particularly in relation to employment ( n = 75), health and social care ( n = 26), power and politics ( n = 16), and justice ( n = 9). As illustrated in Table 2 , a few other sectors have also been studied but have received relatively little attention. The rest of this section will focus on the four sectors that have received most attention.
Manifestations of ageism against younger populations in specific institutional settings or sectors.
Num. Records | Num. Papers | % of Papers on Manifestations | |
---|---|---|---|
Employment | 86 | 75 | 33% |
Health and social care | 28 | 26 | 12% |
Power and politics | 16 | 16 | 7% |
Justice | 13 | 9 | 4% |
Education | 5 | 5 | 2% |
Media | 2 | 2 | 0.9% |
Employment: The articles that have explored ageism in employment have mainly looked at its manifestation in recruitment processes or in the workplace, once the person is employed. The general conclusion that can be drawn from the studies looking at ageism in recruitment is that younger populations have increased access to interviews and are favored in hiring decisions relative to both middle-aged adults and older adults [ 51 , 61 , 71 , 72 , 88 , 109 , 114 , 123 , 124 , 139 , 146 , 209 , 210 ]. However, variability in response exists and has been attributed to a variety of factors related to the characteristics of the workplace and the candidate [ 32 , 128 , 195 , 196 , 221 ]. Whilst these studies suggest that younger adults are less likely to experience discrimination in hiring processes, one study that looked at the intersection between age and sex did find significant discrimination against younger women applying for high skilled administrative jobs [ 212 ].
Age bias seems to manifest more crudely once younger adults are in the workplace. Younger workers report feeling more discriminated and disadvantaged because of their age than middle-aged and older people [ 183 , 238 ] and one study conducted in the UK showed that 1 in 3 younger workers reported experiences of age discrimination [ 178 ]. Other studies report that even if all age groups are affected by age discrimination in the workplace to some degree, younger adults, especially younger women, are most affected, especially in terms of pay and benefits [ 115 , 131 , 179 ]. In Iceland, this discrimination may even amount to child labor laws violations [ 116 ].
Younger workers report not feeling valued, receiving belittling comments and being generally perceived as incompetent because they look young, and receiving fewer development opportunities [ 183 , 193 , 219 ]. Another article makes a distinction between enacted stigma whereby a person makes explicit comments about a participant’s age, and felt stigma where the participant is made to feel uncomfortable and self-conscious about age, noting that whilst both older and younger workers report instances of felt stigma, only younger workers report instances of enacted stigma [ 189 ].
Available studies looking at ageism in performance evaluations generally conclude that there is no discernable age bias in ranking similarly performing employees by employers [ 113 , 228 ] or clients [ 53 , 65 ]. However, this may be dependent on the specific employment sector [ 226 ]. A literature review also found that age might be less important than individual skill and health on evaluation of job performance [ 216 ]. Whether there is an age effect on corrective actions taken to improve performance is also unclear: two studies showed that younger workers may be more likely than older adults to get recommended for training to improve performance [ 33 , 105 ] with another one finding no effect of age [ 85 ].
Age discrimination does seem to affect employees’ dismissal. One study conducted in Australia found that the dismissal of younger employees (15–24 years old) was most associated with bullying, harassment, and taking personal leave. Young men, compared to young women, were disproportionately likely to report allegations of misconduct as preceding dismissal, while women experienced higher rates of sexual harassment and discrimination [ 167 ]. Indeed, across all ages female employees appear to be more likely to experience ageist attitudes concerning appearance or sexuality [ 115 , 166 ].
Other studies examined whether specific stereotypes and prejudice were directed towards younger workers relative to middle-aged and older workers. Overall, research shows that stereotypes and prejudice are different depending on the age group. For example, younger workers tend to generate less empathy and are often perceived to be less conscientious, emotionally stable, and agreeable and at the same time more creative and extraverted than older adults [ 50 , 66 , 119 , 242 ]. They are also rated less favorably on experience, work ethics, and stability and higher on potential for development, interpersonal skills, flexibility, and performance capacity, among other attributes [ 58 , 125 , 133 , 188 ]. Middle-aged workers tend to hold more negative stereotypes of younger workers [ 252 ], and younger adults report perceiving more negative age based stereotypes than older adults [ 122 ].
Health and social care: The studies that have explored manifestations of ageism in relation to health and social care have generally looked at the attitudes and discrimination of health and social care workers towards younger clients presenting with different conditions. For example, one study conducted in the US looked at the attitudes of nurses towards patients of different ages, finding that young and middle aged adults are viewed most favorably and that only children and adolescents are viewed as negatively as older people [ 138 ].
In terms of discrimination, available literature has explored age biases in access to treatment and care, and in diagnosis for different conditions, with most studies drawing a comparison between older and younger patients. Some of these studies show that younger people tend to be given preference over older adults. For example, in access to HIV antiretroviral treatment and heart transplant [ 127 ], and in terms of waiting lists [ 126 ]. There is also a significant preference for treating younger versus older patients in the vegetative state [ 43 ], and a perception that younger people deserve more psychosocial support [ 161 ]. The perceptions of social workers towards homeless people are also less harsh if the target is younger [ 162 ]. However, other research has shown that there may be considerable age biases in health and social care, which could ultimately affect health outcomes for younger people [ 78 , 132 , 147 , 176 ]. For example, the diagnosis and treatment options offered by doctors to patients presenting with sexual dysfunction varies depending on the age of the patient [ 132 ].
Other studies looked at the effect of intersectionality in health and social care, examining, for example the compounded effect of the age and gender of the target, or age and health status. For example, a study conducted in 2015, found that social workers were more likely to value younger heterosexual targets compared with same age gay or older clients, and recommend more aggressive treatment of terminal illnesses for these patients [ 164 ]. The gender and age of a child have also been found to affect whether a child is reported to be healthy or unhealthy in some communities and the type of treatment received, with parents reporting that females and younger children were sicker than males and older children, and females receiving more home care and fewer treatment involving cash payments [ 174 ].
The compounded effect of health and age on stigmatization and discrimination was also studied. One study found that younger adults with a mental illness may not be as stigmatized and discriminated against as other age groups [ 247 ], whereas another study showed that obese children are the population most at risk for being confronted with stigmatization [ 235 ], and yet another showed that younger people with one of several health conditions (e.g., blindness, depression, leg amputation, AIDS, and lung cancer) were more stigmatized and discriminated against than older people presenting with the same conditions [ 191 ].
Power and politics: A few of the studies included in this review looked at the status and power accorded to people on the basis of their age, showing that middle-aged adults, especially men, hold the greatest status, wealth, and power, and that younger adults are perceived to have the lowest status, wealth, and power [ 82 , 95 , 142 ].
Different qualitative studies also examined the manifestation of ageism in youth political and advocacy movements, showing that there is a tendency to doubt, deny, or dismiss the voices of youth and children [ 102 , 211 ], regulate their identities [ 111 ], and generally limit their efforts [ 101 , 111 , 232 ].
Other studies looked at the effect of intersectionality in power and politics, examining, for example the compounded effect of age and gender or ethnicity [ 160 , 206 , 225 ]. For example, one study looking at the experiences of a group of women labor activists participating in youth programs found that the age of the women intersected with their gender and racial identity to create systemic disadvantage and unfavorable experiences [ 160 ]. A couple of studies also looked at the existence of age bias in voting behaviors finding that ageism is a stronger factor in voting than sexism or racism, with middle-aged candidates being most preferred, followed by younger candidates [ 215 , 234 ].
Justice: In looking at the manifestation of ageism in justice, available studies explored whether the age of an offender or criminal or the age of the victim could affect the evaluation of a given crime and its punitiveness. The four studies that explored whether the age of an offender or criminal made a difference on the judgments made found that crimes committed by younger offenders elicited greater anger and were perceived to be more serious transgressions, and rated to deserve more severe punishment [ 34 , 89 , 99 ]. One study suggested that this age effect might not apply equally across ethnic groups [ 159 ].
The studies that examined whether the age of the victim of a crime or accident made a difference on judgments found inconsistent results. Two studies showed that transgressions were evaluated more seriously and received more severe punishment recommendations if the victim was an older adult [ 89 , 99 ], whereas two other studies showed no effect of age on judgments [ 157 , 231 ]. Another study looking at child sexual abuse of 15 versus 12 year old girls found that while attributions toward the perpetrator did not differ based on the victim’s age for women, men tended to blame the perpetrator more when victims were younger and the family more when the victim was more physically mature [ 56 ]. One study suggested that the age of the victim might be particularly influential in these decisions when the victim is perceived to be innocent [ 92 ].
The other study classified as exploring the manifestation of ageism in justice, looked at age-discrimination in employment cases in the United States, reporting that employers were most likely to win a case when the employee was younger, particularly between 40 and 49 years old [ 192 ].
A relatively large number of articles included in the review ( n = 45) explored this research question, mainly focusing on the determinants of interpersonal ageism. A few articles also explored possible determinants of self-directed ageism.
Characteristics of the respondent and their context: Rater age was one of the most studied drivers of ageism towards younger populations. Some studies looked at the influence or rater’s age on the preference for or stereotyping of targets of various ages [ 48 , 64 , 66 , 67 , 69 ], showing inconsistent results. Other studies explored the influence of this determinant in performance evaluations of targets of different ages by either employers [ 30 ] or clients [ 53 , 65 ] or in treatment decisions for younger and older patients [ 43 ]. These studies generally found no or minimal effect of rater age. Several studies also looked specifically at the effect of the rater and ratee having the same age and whether this “same age effect” was a determinant for increased prejudice and discrimination, but the results were inconsistent. For example, McNamara and colleagues found that workers rated those at the same age most highly, followed by relatively older workers, then relatively younger workers [ 68 ]. Another study found that when rater and ratee have the same age, the respondent experiences greater anger, less sympathy, and recommends more severe punishment for a thief [ 34 ].
The rater’s sex or gender was also studied as a potential driver of ageism towards younger populations with studies showing inconsistent findings. For example, two studies found no significant effect of rater’s age in ageist behaviors or stereotyping [ 42 , 51 ]. Two additional studies examining this driver did find that the sex of the respondent had an influence on whether the respondent had an age-biased behavior either in relation to the provision of psychotherapy to patients of different ages [ 55 ] and with regards to attributions of blame for a crime [ 56 ]. Another study also found that men were more likely than women to use age as a basis for similarity categorization, and men’s preferences clearly revealed a bias in the direction of youth [ 48 ].
Different personality traits including agreeableness, positivity, and conscientiousness of respondents were also evaluated as possible determinants of ageism towards younger people, indicating that more agreeable and positive participants were more likely to have positive evaluations for people of other age groups [ 36 ], and that high conscientiousness raters would be more likely to evaluate the performance of younger coworkers lower than that of older coworkers [ 47 ]. The religiosity of respondents [ 9 ] was also examined as a possible driver of ageism towards younger people and, in the context of therapy, respondents’ level of clinical training was assessed as a possible driver of age-biased evaluations of couples [ 44 ].
The framing of targets (i.e., the way in which they are presented) was also explored as a potential determinant of ageism. For example, one study looked at whether the framing of a specific job role influenced whether there would be an age-bias towards potential candidates [ 32 ], and another one explored whether being in a specific context and engaging in a certain behavioral activity could determine the activation of age stereotypes [ 29 ]. Other studies looked at the influence of the amount of information provided about the target, finding that the more information provided, the less likely that age bias would present [ 46 , 61 ]. Whether the framing involves a comparison with another age group [ 28 ] or an expectation of competition or cooperation can also result in age bias, for example, in hiring decisions [ 50 ].
Access to age-related information was also examined as a possible determinant of ageism with a study finding that under a neutral information condition, managers preferred hiring the young applicant for the low-status job, and students favored the old candidate for the high-status position. Under the age-related information condition, managers shifted to favoring the old candidate for the low-status job, and students preferred the young applicant for both the low- and high-status positions [ 59 ]. Exposure to age-biased information or stereotypes [ 37 , 62 ] or to disliked vs. admired young individuals [ 31 ] can also influence whether someone is ageist towards younger populations. Other studies also explored whether situations of pressure [ 33 ] or increased accountability [ 38 , 141 ] of the respondent in making decisions influenced the likelihood of someone being ageist towards younger people.
Contact or general exposure with younger people was studied as another possible driver of ageism with most studies finding that individuals who have increased contact with younger people, especially high quality contact, are less likely to be ageist or biased towards them [ 26 , 57 ]. Other literature looked at the effect of own-age exposure on age-related attitudes but found that this factor only made unique contributions to explaining better recognition memory for own-age than other-age faces [ 40 ].
The centrality of age in job prototypes was also examined as a possible determinant of age biases in selection processes for employment [ 54 ]. Following this same logic, [ 58 ] looked into the profession of the target as a possible driver or determinant recognizing that certain professions (e.g., accounting) were seen as stereotypically younger-person jobs whereas others (e.g., medicine) were considered as stereotypically older-person occupations. The influence of national and organizational culture on age stereotypes was also explored [ 57 ].
Characteristics of the target: The target’s sex was also studied as a potential driver and was generally found to affect age-biases in relation to the emotions that respondents’ perceived a girl/woman/boy/man would express [ 45 ]. It also affected performance evaluation, with young men’s high quality performance being evaluated more positively than identical performance by a young female or old man [ 148 ]. Other individual level factors affecting the target explored in the literature include the target’s health status [ 35 ] and physical appearance [ 41 ].
A few studies explored possible determinants of subjective age including health status [ 27 ], future self-views [ 49 ], and respondent’s age and sex [ 60 ]. Another study looked at whether the evaluations of own age group would influence evaluations of self in young adults, finding no significant effect, which the authors argued could suggest that age is not a salient factor when young adults evaluate themselves in comparison to others [ 52 ].
Only 12 studies examined the effects of ageism on health, cognition, performance, overall wellbeing, and social distance. For example one study found that age discrimination alone was not associated with mental disorders in younger people but that the simultaneous reporting of age discrimination with skin color, race, and class was associated with a higher occurrence of common mental disorders [ 86 ]. Another study found that exposure to stereotypical information regarding memory capacity and age had a negative impact on memory performance across individuals with lower education [ 258 ]. When younger people see themselves under the control of powerful others, exposure to negative age-relevant stereotypes can have a positive impact on their performance, which suggests that younger adults’ reactivity to age-relevant threats is in the opposite direction of the damaging effects observed in older adults [ 260 ]. This is based on the hypothesis that younger adults would show efforts to disconfirm that they are “(too) young and inexperienced” by performing well on tasks described as requiring life experience. The impact of perceived age discrimination on wellbeing is contested with one study finding that discrimination does not harm wellbeing [ 259 ] and another finding that it does have harmful effects on the subjective wellbeing of all persons regardless of their age, but especially middle-aged people [ 261 ]. The possible effect of dual age identification (based on age group and generation) on psychological wellbeing was also studied but the findings suggested that it only has an effect on older adults (i.e., older adults’ identification with their age group led to lower levels of psychological well-being and the reverse was true when they identified with their generation), not having any significant effect on younger or middle-aged adults [ 263 ].
Perceived ageism can also have an effect on satisfaction with coworkers [ 224 ], on employees’ affective commitment to their organization [ 238 , 262 ], and on work identities, including how perceived discrimination could result in younger workers consciously portraying themselves as older and less feminine through dress, speech, and behavior [ 264 ].
Perceptions of age-biased communication behaviors (i.e., accommodative or non-accommodative behavior, avoidant behavior, and respectful behavior) were also found to have an impact on younger adults’ self-esteem and life satisfaction [ 200 ].
A total of 24 articles examined strategies to tackle ageism towards younger populations. Most of the strategies examined in the literature focus on intergenerational activities ( n = 16) and generally find that these result in a reduction of negative attitudes towards younger populations, improved feelings of communion between generations, increased respect and understanding and sense of comfort with intergenerational interaction [ 103 , 112 , 265 , 267 , 269 , 270 , 271 , 272 , 274 , 275 , 277 , 278 , 279 ]. Still, two studies that used quantitative [ 268 ] and qualitative methodologies [ 106 ] found a very small effect or no effect of intergenerational programs in reducing ageism and a third study was unable to derive meaningful conclusions [ 266 ]. The types of activities that younger and older generations engaged in part of these programs was very diverse ranging from playing videogames [ 269 ], instrument playing interventions [ 267 ], and sharing life stories [ 106 ] to the joint preparation of a photographic poster exhibition [ 103 ] or glove puppets [ 275 ], among others.
Policies and laws have also been explored empirically as possible strategies to tackle ageism towards younger people, though to a very limited extent. For example, one study looked at the effects of legislation prohibiting age discrimination on the age characteristics specified in job advertisements, recruiters’, and employers’ references to age in the recruitment process, and people’s perceived age references in past job interviews. The study found that only 5.9% of all job ads appeared to be open to all age groups, recruiters asked about age of pseudo-applicants in 18% of cases, employers still acknowledged asking about age in approximately 32% of cases and 44% of respondents remembered being asked about their age in interviews [ 88 ]. Still, the interpretation of these findings is challenging because there was no baseline data. Another cross-sectional study explored whether equity norms reduced age discrimination, finding that such norms can help increase enthusiasm for both young and old applicants but did not necessarily reduce age-based hiring discrimination [ 281 ]. One study also found that proportional representation electoral systems favor the election of younger members of parliament even after controlling for multiple alternative explanations [ 282 ].
Other strategies have been studied, which can prevent age stereotypes’ influence on behavior. For example, one study found that self-awareness manipulations could help prevent age stereotypes from entering into deliberation and influencing social judgments [ 280 ]. Another study found that direct debiasing in the form of explicit informative warnings can reduce the influence of age stereotypes on performance appraisal and that indirect debiasing can influence hiring decisions, though this was mainly studied in relation to older candidates [ 109 ].
A final set of strategies that has been studied includes interventions that can affect how an individual copes with experiences of ageism. For example, Finkelstein and Zacher examined whether having a higher self-concept could influence how a person reacts to specific stereotypes [ 122 ]. In turn, Worth described different strategies used by young women to cope with the intersections of ageism/sexism in the workplace, explaining that while some employ conscious strategies to be “taken seriously” through dress, small talk, and even taking on stereotypical traits of masculinity to be recognized as competent, others explicitly confront inequality through “girlie feminism” with a profemininity work identity that challenges the masculine-coded norms of how a successful workplace operates and what it looks like [ 264 ].
Two broader strategies referred to in the literature to reduce ageism relate to the use of participatory action research in schools, given the role that sociocultural context plays in creating spaces where students gain skills to become change agents within their context [ 273 ]. Similarly, another study examined how partnering with youth in planning community based activities can enhance younger adults’ confidence in voicing their concerns and contributing [ 276 ].
This article aimed to identify and summarize available literature on ageism towards younger populations. Research on ageism has increased since the word ageism was first coined by Butler in 1969, though it has mainly focused on older people. In the case of ageism against older people, the field has used multiple definitions that have changed over time [ 1 , 283 , 284 , 285 ]. This potentially challenges communication about and the development of a coherent body of research on the topic. The findings from this study show that in the case of ageism towards younger persons and children, the terminology might be even more fragmented as different words have been used to describe similar concepts, thus impairing the development of a coherent body of knowledge.
The study also found that most studies come from North America or Europe and have focused on the manifestations of ageism towards younger populations, particularly in relation to employment, health and social care, power and politics, and justice. The available evidence does not enable an estimation of the global prevalence of ageism against younger people but suggests that ageism is present across institutions and prominent throughout the life course including in early life stages. It also shows that younger people might be more likely to report perceived ageism compared to other age groups.
Determinants of ageism against younger people also received a substantial amount of attention, with most studies focusing on interpersonal characteristics that may affect people’s interaction with younger people (e.g., the respondent’s personality traits). These studies, similarly to the studies that examined the manifestation of ageism towards younger people were largely a-theoretical. In fact, most of the knowledge was derived from studies that focused on ageism against older people, with younger people examined mainly as a comparison group. This can be contrasted with the literature on ageism against older persons that has attempted to explain ageism against this population group, using varied theoretical perspectives [ 285 ].
Unexpectedly, the effects of ageism against younger people have largely been understudied. This is particularly evident against the plethora of knowledge on the negative effects of ageism against older people at all levels, including the macrolevel (e.g., cost of ageism in the healthcare system [ 286 ]), and at the microlevel (e.g., negative impact of ageism on the individual’s health and wellbeing [ 5 ]). This blind spot concerning the potential impact of ageism against younger populations is particularly unfortunate and may be interpreted as yet another sign of ageism towards younger people, this time, directed by the research community, which has failed to properly examine the effects of ageism on this population group. Finally, as in the case of ageism towards older people [ 3 ], our findings show that intergenerational contact may be a useful tool to reduce ageism towards younger people. Policies might also be relevant in addressing ageism towards younger populations. However, most papers described policies without providing empirical evidence to their effect. Hence, these papers were excluded from the present review.
Several important observations emerged while reviewing the data. The first concerns the varied and somewhat inconsistent terminology used to describe ageism towards younger people. This makes the integration of the entire field complicated, as even search terms are inconsistent. Without a clear conceptual understanding of what ageism towards younger populations entails, a coherent body of knowledge cannot be formalized. In addition, many of the reviewed articles had a stated aim of examining ageism towards both younger and older adults, yet they generally focused on older adults and were derived from research and theory on ageism towards older adults. This attests to the relative research neglect of ageism towards younger people, a field that has developed mainly as a side-effect of research on older adults, with younger people serving mainly as a comparison group, and not necessarily seen as deserving research attention on their own right.
Although the manifestations of ageism towards younger people have received increasing attention over time, this attention has mostly focused on manifestations of ageism in the field of employment. It is therefore unclear whether, how, and to what extent ageism manifests in other institutional settings and sectors such as media or education, for instance. Moreover, the focus on manifestations is largely a-theoretical, thus stressing the empirical, rather than theoretical nature of research on ageism towards younger people. Indeed, there is currently no coherent theory on ageism as it affects younger populations. In addition, our review identified a paucity of research on the effects of ageism towards younger populations, which is surprising if a comparison is drawn with the abundance of evidence on the impact of this phenomenon on the health and wellbeing of older adults [ 5 ]. This study also found little published work on interventions to reduce or eliminate ageism against younger people, and the few studies that are available do not always provide a clear evaluation of the impact of the intervention, which indicates a gap for evidence-based practice, which is also apparent in research on interventions to address ageism against older people [ 3 , 285 ].
The limited research on children under the age of 18 is unfortunate and should be reviewed in light of the substantial reliance on college students as participants. Hence, most of our knowledge concerning ageism towards younger populations is derived from university students. Moreover, the limited research from countries outside of North America and Europe is not surprising [ 287 ], but suggests that our current knowledgebase is limited. Future research could also study the differences that may exist in experiences of ageism at different ages within the broader category of people aged 50 or below. For example, do adolescents experience ageism differently to young adults or children?
Finally, though some of the articles included in the scoping review explored how ageism can intersect with other forms of stereotyping, prejudice and discrimination, and result in cumulative disadvantage, this is an area that warrants further research. As in the case of ageism against older people, ageism against younger populations should be viewed from an intersectional perspective [ 166 ]. This is because young women, people of different ethnicities and young people of lower socioeconomic status are particularly disadvantaged in society [ 288 ]. This is illustrated by some of the evidence gathered through this scoping review which showcases the differentiated experiences of ageism when it intersects with other forms of bias.
Given that this was a scoping review, no quality assessment of reviewed sources was conducted [ 289 ]. However, the review was restricted to peer-reviewed articles, whose quality was at least determined through the peer review process. It is possible that this review missed relevant articles, especially given the varied terminology used in the field. For instance, whereas terms such as youthism or kiddism are rarely used in reference to ageism towards younger people, it is possible that other research on the representations of youth might have indirectly examined ageism towards younger people. This may have been missed in our search strategy. Nevertheless, due to the inclusive search strategy and the large number of studies included, the authors believe that the current review provides a comprehensive picture of the available literature on ageism towards younger populations defined in this study as those under the age of 50. Another limitation concerns our reliance on a very crude criterion of those under 50 to identify research on ageism against younger populations. This criterion was inspired by the fact that most research on ageism against older people, and ageism more broadly, has focused on those over the age of 50 as representing the older age group [ 2 , 3 , 4 , 5 ]. To cover the existing knowledge gap on ageism against younger people, this study tried to identify all available evidence on ageism towards people aged 50 or below. Clearly, a more nuanced classification of individuals under the age of 50 is required to better understand ageism towards younger age groups in different contexts and settings. However, as this is the first scoping review on the topic, we decided to adopt the proposed age categorization previously used in research on ageism towards older people to develop a common and acceptable understanding of this topic. Last, this review was limited to articles in English, Spanish, and French. It is possible that research on ageism has been conducted in other languages. Future research will benefit from conducting a similar review using additional languages to better capture the manifestation of ageism in other contexts, including in low- and middle- income countries. Since the analysis for this paper was conducted, more emphasis has been given to the importance of conducting research to further explore ageism against younger populations, including in the context of the COVID-19 pandemic [ 290 , 291 , 292 ].
This scoping review of 263 studies covers an important gap in the research field of ageism, which has mainly focused on this phenomenon with regards to older people. It not only summarizes available evidence on ageism towards younger populations, but also highlights theoretical limitations and key research gaps, such as the limited evidence that is available on the impact of ageism towards younger people. Understanding the impact of ageism towards younger populations in the shorter term and cumulatively over the life course is key to establishing how serious a problem it is and what priority it deserves.
The following are available online at https://www.mdpi.com/article/10.3390/ijerph18083988/s1 , Table S1: Search strategy for PubMed, Table S2: Study characteristics.
Conceptualization, V.d.l.F.-N., S.R., L.A.; methodology, V.d.l.F.-N., E.C.-S., S.R., L.A.; formal analysis, V.d.l.F.-N., E.C.-S., S.R., L.A.; investigation, V.d.l.F.-N., E.C.-S., S.R., L.A.; resources, V.d.l.F.-N.; data curation, V.d.l.F.-N.; writing—original draft preparation, V.d.l.F.-N.; writing—review and editing, V.d.l.F.-N., E.C.-S., S.R., L.A. The authors alone are responsible for the views expressed in this article and they do not necessarily represent the views, decisions or policies of the institutions in which they are affiliated. All authors have read and agreed to the published version of the manuscript.
This research received no external funding.
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Data availability statement, conflicts of interest.
The authors declare no conflict of interest.
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Age discrimination in the workplace is a growing concern. In Indeed’s recent study, “Breaking Down Barriers: For a Brighter and Fairer Future of Work,” we found that 14 per cent of workers in Canada perceive their age as a barrier to work – and this number doubles to 28 per cent in individuals aged 65 or older. Despite efforts to increase work force diversity, current data suggests that ageism can be problematic for the youngest and oldest cohorts. In this article, we identify age discrimination at work and review six strategies to reduce ageism to create a productive multi-generational work force.
Age discrimination in the workplace, or work-related ageism, is when an employer discriminates against a candidate or employee because of their age. While both younger and older generations can experience age discrimination, individuals over 50 are typically the most targeted.
Human rights legislation protects employees and job seekers over 18 from age discrimination in all Canadian provinces and territories. Despite these protections, Indeed’s study found that age was the highest reported type of discrimination in Canada. While 42 per cent of respondents who experienced discrimination said it was due to age, this number increased to 54 per cent among those between age 50-64 and 69 per cent for those 65 or older. The youngest cohort also reported age-related discrimination. Almost half of respondents (45 per cent) aged 18-24 experienced workplace discrimination due to their age.
Age discrimination can take many forms, so what constitutes age discrimination at work? Some common examples include:
How can employers create a more inclusive, multi-generational workplace? Here are six ways to address ageism at work:
Addressing age discrimination at work is well worth the effort. Age-diverse organizations can gain a competitive advantage through improved employee loyalty and wellbeing, and by harnessing the institutional knowledge and diverse viewpoints of a multi-generational work force.
Learn how Indeed is making hiring faster, simpler, and more human.
Advertising feature provided by Indeed. The Globe and Mail’s editorial department was not involved.
IMAGES
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According to the AARP's recent report ' The Economic Impact of Age Discrimination ', bias against older workers cost the US economy an estimated US$850 billion in gross domestic product (GDP ...
In the present chapter, we d escribe a number of mechanisms that may. explain age stereotyping and lead to workplace age discrimination in the areas of. hiring, training, performance appraisal ...
The research literature on workplace inequality has given comparatively little attention to age discrimination and its social-psychological consequences. ... on two decades and five waves of the General Social Survey (2002-2018), reveal (1) the prevalence of self-reported workplace age discrimination and growing vulnerability particularly for ...
The definition of ageism. The World Health Organization (WHO) defines ageism as "stereotyping, prejudice, and discrimination against people on the basis of their age" regardless of their age groups (World Health Organization, Citation 2020).However, most of previous studies on ageism in the workplace have focused on negative attitudes toward older workers, such as being less productive ...
For two online samples of younger workers (ages 18-30, N = 294 and 403), the mean scores were close: 1.75 and 1.92. For middle-aged workers (ages 31-49, N = 407), the mean score was lower, 1.42. Combining the samples suggests a curvilinear relationship between age groups and perceived age discrimination at work.
For these reasons, workplace age discrimination is of increasing importance. This chapter describes a number of mechanisms that may explain age stereotyping and may lead to workplace age discrimination in the areas of hiring, training, performance appraisal, layoffs and reemployment, and interpersonal treatment.
Previous research has demonstrated discrimination against older workers but this is a limiting view of the impact that ageism may have in the work setting. ... experiences of age discrimination at work and their views on policy changes around extending working lives. ... In this paper we use part of the qualitative data from a larger United ...
Abstract. Research on workplace discrimination has tended to focus on a singular axis of inequality or a discrete type of closure, with much less attention to how positional and relational power within the employment context can bolster or mitigate vulnerability. In this article, the author draws on nearly 6,000 full-time workers from five ...
2.1 Ageism in the Workplace: A Brief Review. According to data from the 2014 wave of the German Ageing Survey (DEAS), a nationwide representative cross-sectional and longitudinal survey of the German population aged 40-85 years old, 12.5% of adults aged 55-64 years old and 10% of adults aged 65 and older reported having experienced discrimination due to age within the past 12 months (own ...
Research on workplace age discrimination has addressed a number of issues associated with ageist attitudes and stereotypes held by employers, co-workers and society. ... This paper was first delivered in the President's Plenary Symposium, at the 49th Australian Association of Gerontology (AAG) Conference, Canberra, 2-4 November 2016. The ...
A 2020 AARP study of workers aged 45 to 65 reported 78% had either experienced or witnessed age discrimination directed at older workers, the highest rate since 2003 ( Perron, 2021 ), and up from 61% in 2018 ( Perron, 2018 ). Additionally, 61% worried about losing their job due to their age.
Abstract. This chapter analyzes the current state of research on the topic of age stereotypes and age discrimination in the workplace. Recognizing the growing importance of age stereotyping research as the workforces of many countries continue to grow older, this chapter defines and differentiates the important concepts used in this field of research (e.g., age stereotyping, ageism, age ...
Affiliations. 1 ARC Centre of Excellence in Population Ageing Research (CEPAR), Sydney, New South Wales, Australia. 2 Ageing, Work and Health Research Unit, Faculty of Health Sciences, University of Sydney, Sydney, New South Wales, Australia. 3 Centre for Research on Ageing, Health and Wellbeing (CRAHW), Research School of Population Health ...
1. Introduction. Despite more than five decades of federal legislation in the United States designed to protect workers against discrimination based on sex, race, color, national origin, religion (Title VII of the Civil Rights Act of 1964), age (Age Discrimination in Employment Act of 1967), and disability (Title I and Title V of the Americans with Disabilities Act of 1990), workplace ...
The present research was able to examine whe ther potential age discrimination against older individuals is either due to prejudices ( Becker, 1957 , 1993 ) or due to stereotypes ( Arrow, 1973 ...
As a result, older workers are often devalued by prospective employers as being unproductive, slower and more prone to disease, unfit to learn and a burden to highly technological work environments. Research has consistently found evidence of work-related age discrimination and older persons are continuously faced with age-related stereotyping ...
Frontiers in Psychology. 2020. TLDR. The results revealed a negative relation between calendar age and external employability of healthcare workers, and more consistent evidence for positive relations between an open future time perspective and across-time changes in vitality, work ability and External employability. Expand. 16. Highly Influenced.
In the United States, the share of workers age 24 and younger declined by 45% between 1980 and 2018; over that same period, the share of workers age 55 and older rose by 64%, the compounded effect of a growing older population and an increase in their workforce participation rate ( Bureau of Labor Statistics, 2019a ).
ALEXANDRIA, Va., -Today, SHRM released new research detailing the prevalence of age discrimination in the workplace and its impact on the U.S. workforce. The research shows that nearly a third ...
Age Discrimination at Work. As noted by other authors in this volume, the workforce in most industrialised countries is becoming older and more age diverse (Eurostat 2013; Toossi 2012) largely due to people working longer for economic reasons (i.e., instead of retiring) and because of later retirement ages in many countries due to increased ...
Paper type Research paper. Introduction. According to the International Labor Organization (2018) ... Results: Perceived workplace age discrimination tends to increase with age, although notable ...
Age Discrimination in the American Workplace: Old at a Young Age. R. Gregory. Law, Sociology. 2001. Nearly every middle-aged and older worker, at some time during his or her career, will suffer age discrimination in the workplace. Employers too often use early-retirement plans, restructurings, and…. Expand. 25.
I have been tracking news articles that focus on aging and age discrimination over the past year. Some headline themes include stereotypes, institutional ageism, generation gaps, signs of ageism in the workplace, and new research on aging - among others. These headline themes are often juxtaposed ...
Prohibitions of discrimination based on both race and/or ethnicity and religion were widespread: 151 countries prohibited at least some aspect of workplace discrimination based on both characteristics in 2021. However, only 117 countries prohibited at least some aspect of workplace discrimination based on both race and/or ethnicity and social ...
In 2015, about 1 in 5 older Canadians continued to work past the age of 65. Reference vi Despite many older adults remaining in the workforce, ageist attitudes and age-based discrimination may continue to act as barriers to participating in the workforce. Social and psychological impacts
A meta-analysis of papers on attitudes towards younger and ... Other studies report that even if all age groups are affected by age discrimination in the workplace to some degree, younger adults ... Bull R.A. Review of research on age discrimination in the employment interview. J. Bus. Psychol. 2008; 22:223-232. doi: 10.1007/s10869 ...
While 42 per cent of respondents who experienced discrimination said it was due to age, this number increased to 54 per cent among those between age 50-64 and 69 per cent for those 65 or older.