Older adults regularly encounter age-based discrimination and stereotyping in their day-to-day lives. Whether this type of routine ageism negatively affects their health and well-being is unclear, in part due to the absence of validated scales that comprehensively measure this phenomenon and distinguish it from other sources of everyday discrimination.
Methods
This study describes the development of a novel scale, the Everyday Ageism Scale, and its psychometric evaluation using a nationally representative sample of US adults age 50–80 from the December 2019 National Poll on Healthy Aging (N = 2012).
Results
Exploratory factor analysis indicated a 3-factor structure comprised of ageist messages, ageism in interpersonal interactions, and internalized ageism. The ten-item scale was psychometrically sound and demonstrated good internal reliability.
Discussion
Everyday ageism is a multidimensional construct. Preliminary evaluation of the Everyday Ageism Scale suggests its utility in future studies examining the prevalence of everyday ageism and its relationships with health.
AbecassisM.BridgesN. D.ClancyC. J.DewM. A.EldadahB.EnglesbeM. J.FlessnerM. F.FrankJ. C.FriedewaldJ.GillJ.GriesC.HalterJ. B.HartmannE. L.HazzardW. R.HorneF. M.HosenpudJ.JacobsonP.KasiskeB. L.LakeJ.HighK. P. (2012). Solid-organ transplantation in older adults: Current status and future research. American Journal of Transplantation, 12(10), 2608-2622. https://doi.org/10.1111/j.1600-6143.2012.04245.x
2.
AdamE. K.QuinnM. E.TavernierR.McQuillanM. T.DahlkeK. A.GilbertK. E. (2017). Diurnal cortisol slopes and mental and physical health outcomes: A systematic review and meta-analysis. Psychoneuroendocrinology, 83, 25-41. https://doi.org10.1016/j.psyneuen.2017.05.018
AllenJ. O.WatkinsD. C.ChattersL.GeronimusA. T.Johnson-LawrenceV. (2019). Cortisol and racial health disparities affecting Black men in later life: Evidence from MIDUS II. American Journal of Men’s Health, 13(4), 1557988319870969. https://doi.org/10.1177/1557988319870969
AllenJ. O.SolwayE.KirchM.SingerD.KullgrenJ.MoïseV.MalaniP.(under review). Everyday ageism and the health of older adults: Evidence from the National Poll on Healthy Aging.
7.
AllenJ. O.WatkinsD. C.ChattersL.Johnson-LawrenceV. (2020). Mechanisms of racial health disparities: Evidence on coping and cortisol from MIDUS II. Journal of Racial and Ethnic Health Disparities, 7(2), 207-216. https://doi.org/10.1007/s40615-019-00648-y
8.
AllenJ. O.WatkinsD. C.MezukB.ChattersL.Johnson-LawrenceV. (2020). Mechanisms of racial health disparities: Relationships between coping and psychological and physiological stress responses. Ethnicity & Disease, 30(4), 563-574. https://doi.org/10.18865/ed.30.4.563
AngusJ.ReeveP. (2006). Ageism: A threat to “aging well” in the 21st century. Journal of Applied Gerontology, 25(2), 137-152. https://doi.org/10.1177/0733464805285745.
11.
AyalonL.DolbergP.MikulionienėS.Perek-BiałasJ.RapolienėG.StypinskaJ.WillińskaM.de la Fuente-NúñezV. (2019). A systematic review of existing ageism scales. Ageing Research Reviews, 54, 100919. https://doi.org/10.1016/j.arr.2019.100919
12.
Beatty MoodyD. L.BrownC.MatthewsK. A.BrombergerJ. T. (2014). Everyday discrimination prospectively predicts inflammation across 7-years in racially diverse midlife women: Study of women’s health across the nation. Journal of Social Issues, 70(2), 298-314. https://doi.org/10.1111/josi.12061
13.
BenderK. A. (2012). An analysis of well-being in retirement: The role of pensions, health, and ‘voluntariness’ of retirement. The Journal of Socio-Economics, 41(4), 424-433. https://doi.org/10.1016/j.socec.2011.05.010
14.
CourtneyM.GordonR. (2013). Determining the number of factors to retain in EFA: Using the SPSS R-menu v2 0 to make more judicious estimations. Practical Assessment, Research, and Evaluation, 18(1), 8. https://doi.org/10.7275/9cf5-2m72
15.
EdwardsJ. R. (2001). Multidimensional constructs in organizational behavior research: An integrative analytical framework. Organizational research methods, 4(2), 144-192. https://doi.org/10.1177/109442810142004
16.
FarmerH. R.WrayL. A.ThomasJ. R. (2019). Do race and everyday discrimination predict mortality risk? Evidence from the health and retirement study. Gerontology & Geriatric Medicine, 5, 2333721419855665. https://doi.org/10.1177%2F2333721419855665
17.
GaskinC. J.HappellB. (2014). On exploratory factor analysis: A review of recent evidence, an assessment of current practice, and recommendations for future use. International Journal of Nursing Studies, 51(3), 511-521. https://doi.org/10.1016/j.ijnurstu.2013.10.005
18.
GeronimusA. T.HickenM.KeeneD.BoundJ. (2006). “Weathering” and age patterns of allostatic load scores among Blacks and Whites in the United States. American Journal of Public Health, 96(5), 826-833. https://doi.org/10.2105/AJPH.2004.060749
19.
GrayM. J.LitzB. T.HsuJ. L.LombardoT. W. (2004). Psychometric properties of the life events checklist. Assessment, 11(4), 330-341. https://doi.org/10.1177/2F1073191104269954
HehmanJ. A.BugentalD. B. (2015). Responses to patronizing communication and factors that attenuate those responses. Psychology and Aging, 30, 552-560. https://doi.org/10.1037/pag0000041
22.
HuR. X.LuoM.ZhangA.LiL. W. (2021). Associations of ageism and health: A systematic review of quantitative observational studies. Research on Aging, 43, 311-322. https://doi.org10.1177/0164027520980130
JamesS. A. (2009). Epidemiologic research on health disparities: Some thoughts on history and current developments. Epidemiologic Reviews, 31, 1-6. https://doi.org/10.1093/epirev/mxp010
25.
JusterR.-P.McEwenB. S.LupienS. J. (2010). Allostatic load biomarkers of chronic stress and impact on health and cognition. Neuroscience & Biobehavioral Reviews, 35(1), 2-16. https://doi.org/10.1016/j.neubiorev.2009.10.002
26.
KrauseN. (2002). A comprehensive strategy for developing closed-ended survey items for use in studies of older adults. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 57(5), S263-S274. https://doi.org/10.1093/geronb/57.5.S263.
27.
KyddA.FlemingA. (2015). Ageism and age discrimination in health care: Fact or fiction? A narrative review of the literature. Maturitas, 81(4), 432-438. https://doi.org/10.1016/j.maturitas.2015.05.002.
28.
LamontR. A.SwiftH. J.AbramsD. (2015). A review and meta-analysis of age-based stereotype threat: Negative stereotypes, not facts, do the damage. Psychology and Aging, 30, 180-193. https://doi.org/10.1037/a0038586
29.
LevyB. R. (2003). Mind matters: Cognitive and physical effects of aging self-stereotypes. The Journals of Gerontology: Series B, 58(4), P203-P211. https://doi.org/10.1093/geronb/58.4.P203
LevyB. R.Leifheit-LimsonE. (2009). The stereotype-matching effect: Greater influence on functioning when age stereotypes correspond to outcomes. Psychology and Aging, 24(1), 230-233. https://doi.org/10.1037/a0014563
32.
LewisT. T.AielloA. E.LeurgansS.KellyJ.BarnesL. L. (2010). Self-reported experiences of everyday discrimination are associated with elevated C-reactive protein levels in older African-American adults. Brain, Behavior, and Immunity, 24(3), 438-443. https://doi.org/10.1016/j.bbi.2009.11.011
33.
MeisnerB. A. (2012). A meta-analysis of positive and negative age stereotype priming effects on behavior among older adults. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 67B, 13-17. https://doi.org/10.1093/geronb/gbr062
34.
MeyerI. H.FrostD. M. (2013). Minority stress and the health of sexual minorities. In PattersonC. J.D’AugelliA. R. (Eds.), Handbook of psychology and sexual orientation (pp. 252-266). Oxford University Press.
ParadiesY. (2006). A systematic review of empirical research on self-reported racism and health. International Journal of Epidemiology, 35(4), 888-901. https://doi.org/10.1093/ije/dyl056
37.
SarkisianC. A.HaysR. D.BerryS.MangioneC. M. (2002). Development, reliability, and validity of the Expectations Regarding Aging (ERA-38) survey. The Gerontologist, 42(4), 534-542. https://doi.org/10.1093/geront/42.4.534
SwiftH. J.AbramsD.LamontR. A.DruryL. (2017). The risks of ageism model: How ageism and negative attitudes toward age can be a barrier to active aging. Social Issues and Policy Review, 11(1), 195-231. https://doi.org/10.1111/sipr.12031
40.
WadeR. M.HarperG. W. (2021). Racialized sexual discrimination (RSD) in online sexual networking: Moving from discourse to measurement. Journal of Sex Research, 58(6), 795-807. https://doi.org/10.1080/00224499.2020.1808945
41.
WarmothK.TarrantM.AbrahamC.LangI. A. (2016). Older adults’ perceptions of ageing and their health and functioning: A systematic review of observational studies. Psychology, Health & Medicine, 21, 531-550. https://doi.org/10.1080/13548506.2015.1096946
42.
WilliamsD. R.GonzálezH. M.WilliamsS.MohammedS. A.MoomalH.SteinD. J. (2008). Perceived discrimination, race and health in South Africa. Social Science & Medicine, 67, 441-452. https://doi.org/10.1016/j.socscimed.2008.03.021
43.
WilliamsBOnsmanABrownT (2010). Australian paramedic graduate attributes: A pilot study using exploratory factor analysis. Emergency Medicine Journal, 27(3), 794-799. https://doi.org/10.33151/ajp.8.3.93.
44.
WilliamsD. R.Yan YuY.JacksonJ. S.AndersonN. B. (1997). Racial differences in physical and mental health. Journal of Health Psychology, 2, 335-351. https://doi.org/10.1177/135910539700200305
45.
YangY.XiaY. (2015). On the number of factors to retain in exploratory factor analysis for ordered categorical data. Behavior Research Methods, 47(3), 756-772. https://doi.org/10.3758/s13428-014-0499-2
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