Table 1.
Reference | Data Source and Study Design | Sampling Method and Sample Characteristics | Aging Stigma Variable | Health Variable | Main Findings Relevant to Aging Stigma and Health |
---|---|---|---|---|---|
Experimental Studies | |||||
Barber & Mather38 | 2 experiments Both with 2 arms
Health task data |
Convenience samples recruited in California Exp 1: N=31 Ages 63–78, mean 70.4 Exp 2: N=64 Ages 61–86, mean 70.9 |
Exposure to stereotype threat related to memory and age Exp 1: fictitious news articles describing research confirming that memory declines with age39 Exp 2: instructions indicated interest in age differences in memory, previous findings on age-based differences in memory, and had participants state their age aloud |
Cognition: word recall (Exp 1 and 2), recognition tests (Exp 2) | Stereotype threat associated with
|
Barber et al40 | 4 arms
(control=anti-stereotype threat)
Health task and self-reported survey data |
Convenience sample from California N=80 Ages 61–80, mean 69.5 |
Exposure to stereotype threat related to memory and age
|
|
Stereotype threat associated with
|
Brubaker & Naveh-Benjamin41 | 2 experiments Exp 1 with 4 arms
Exp 2 with 2 arms
Comparisons within and between participants |
Convenience samples from Missouri Exp 1:
Ages 65–87, mean 72.5
Ages 18–25, mean 19.5 Exp 2:
Ages 18–23, mean 18.8 |
Exp 1: Exposure to stereotype threat related to memory and age
Exp 2: No exposure to explicit stereotype threat or nonthreat
|
Cognition: word and image item recall, associative (pairings), and recognition tests | Stereotype threat associated with
|
Hess et al43 | 4 arms
Self-reported survey data collected before aging stigma exposure, physiologic and health task data collected after |
Convenience sample from North Carolina N=144 Ages 65–85, mean 72 |
|
|
|
Krendl et al46 | 6 arms
Health task data collected after aging stigma exposure |
Convenience sample recruited from Boston
Mean age 19.1 |
Subliminal priming with negative aging stereotypes in the form of brief exposure to negative age-related stereotype words masked by a string of consonants | Cognition: word encoding and retrieval (recognition) | Negative stereotypes associated with
|
Molden & Maxfield47 | 5 arms
Comparisons within and between participants Self-reported survey data collected at baseline and following aging stigma exposure |
Convenience sample from western US N=80 Ages 61–90, mean 71.7 |
Priming with different proportions of positive and negative age-related stereotype words48 prior to memory assessments | Psychological wellbeing (dementia anxiety, positive and negative affect) | Negative stereotypes associated with
|
Popham & Hess49 | 4 arms
Health task data collected following aging stigma exposure |
Convenience sample from North Carolina
Ages 65–83, mean 71
Ages 18–23, mean 19 |
Exposure to stereotype threat related to cognitive tasks and age (older adults only)
Exposure to stereotype threat related to academic discipline (young adults) |
Cognition & memory: regulatory focus (speed/ accuracy in letter-canceling task), working memory tasks | Negative aging stereotypes associated with
|
Smith et al50 | 4 arms
Health task data collected following aging stigma exposure |
Convenience sample from Massachusetts N=166 Ages 56–90, mean 70.6 |
Exposure to stereotype threat in the form of written passage on age-related declines in memory51 | Cognition: (recognition test) with and without warning about deceptive nature of recognition test | Aging stereotypes associated with
|
Tan & Barber52 | 3 arms
Health task data collected following aging stigma exposure Data collected: 2016–2017 **also Intervention Study |
Convenience sample of culturally Chinese adults from California N=114 Ages 55–84, mean 68.5 |
Exposure to stereotype threat in the form of instructions indicating interest in age-related memory decline, comparison to younger adults, and asked to indicate age prior to memory test (stereotype alleviation indicated test “age-fair”). | Cognition: word recall | Stereotype threat alone associated with
|
Thomas et al53 | 2 experiments Both with 4 arms
Health task data collected following aging stigma exposure |
Convenience samples from Massachusetts Exp 1
Mean age 73.5
Mean age 19.4 Exp 2
Mean age 72.6
Mean age 20.7 |
Exposure to stereotype threat in the form of written passages reporting fictitious research that memory declines with age51 | Cognition: recall (Exp 1 and 2), working memory-letter recall and math (Exp 1) | Stereotype threat associated with
|
Intervention Studies | |||||
Geraci et al54 | 2 experiments Exp 1 with 3 arms
Exp 2 with 2 arms
Health task and self-reported survey data |
Convenience samples from Texas Exp 1: n=90 Ages 64–89, mean 73.5 Exp 2: n=56 Ages 65–90, mean 74.1 |
Implicit stereotype threat activation, as reflected in lexical decision task assessing speed forming words representing positive aging stereotypes, negative ones, and neutral words Stereotype threat questionnaire55 |
Cognition: word recall | Successful verbal and picture task completion, but not motor, were associated with higher subsequent recall, but this relationship was not mediated by stereotype threat activation or self-reported stereotype threat |
Levy et al56 | 7 arms
Self-reported survey data collected following intervention Data collected: 2020 |
Convenience sample of us residents from Lucid and Mturk online platforms
Ages 65–106, mean 70.2
Ages 18–64, mean 39.7 |
Intervention: messaging about real-life news stories published during COVID-19 pandemic.
|
Psychological wellbeing (anxiety, peacefulness) | Negative age stereotypes intervention associated with:
Positive age stereotypes intervention associated with:
Personified & enumerative interventions with comparable associations with health variables |
McDougall et al57 | 2 arms
Health task and self-reported survey data collected at baseline, 2- (post-intervention), 6-, 14-, and 26-month follow-up |
Convenience sample from Texas N=265 Ages ≥65, mean 75 at baseline |
|
|
Stereotype threat at baseline associated with
Intervention associated with
Stereotype threat change over time associated with
|
Menkin et al59 | 4 arms
Self-reported survey data collected immediately following intervention |
Convenience sample from California & Illinois N=349 Ages 50–92, mean 72 |
|
|
Anti-aging stigma intervention associated with
No difference in views of aging |
Tan & Barber52 | 3 arms
Health task data collected following exposure to aging stigma Data collected: 2016–2017 **also experimental study |
Convenience sample of culturally Chinese adults from California N=114 Ages 55–84, mean 68.5 |
Exposure to stereotype threat in the form of instructions indicating interest in age-related memory decline, comparison to younger adults, and asked to indicate age prior to memory test (stereotype alleviation indicated test “age-fair”). | Cognition: word recall | Stereotype threat alone associated with
|
Quantitative Studies | |||||
Andrews et al61 | Longitudinal study with data from Baltimore Experience Corps randomized controlled trial of volunteering at elementary schools vs elsewhere Self-reported survey collected at baseline, 1- and 2-year follow-up |
Convenience sample from Maryland N = 446 Ages ≥60, mean 66.2 at baseline |
Expectations Regarding Aging (ERA-12) scale45 with 3 subscales: physical health, mental health, cognitive functioning | Physical activity: minutes/week of moderate and vigorous physical activity |
|
Han62 | HRS Self-reported survey Longitudinal data collected: 2008, 2010, 2012 |
Subsample from nationally representative sample N=3382 Ages 65–96, mean 73.8 at baseline |
Attitudes Towards Own Aging scale from the Philadelphia Geriatric Center Morale Scale63 |
|
Negative aging attitudes at baseline (T1) associated with
|
Levy et al64 | Precipitating Events Project Longitudinal self-reported interview data (baseline) and home assessments (every 18 months) for 129 months Data collected: 1998–2008 |
Convenience sample from Connecticut with no limits to activities of daily living at baseline and some disability at follow-up N=598 (79.3% of cohort) Ages ≥70 at baseline |
Nature of age stereotypes based on free response descriptors of old people (scores dichotomized as positive/negative relative to mean)65 | Functional health (activities of daily living) | Negative age stereotypes at baseline associated with
|
Levy et al66 | National Health and Resilience in Veterans Study Longitudinal self-reported survey data Data collected: 2011, 2013, 2015, 2018 |
Nationally representative sample of US armed forces, reserves, and National Guard veterans N=1373 Ages 55–96, mean 68 at baseline |
Chronic pain | Negative age stereotypes at baseline associated with
More reported age discrimination associated with
|
|
Levy et al70 | Precipitating Events Project Longitudinal self-reported survey data (baseline and 10 years later) and hospitalization and stressful bereavement data (monthly interviews) |
Convenience sample from Connecticut N=231 Ages ≥70, mean 76 at baseline |
Nature of age stereotypes based on free response descriptors of old people65 |
**health as independent variable |
Hospitalization associated with
Stressful bereavements associated with
Negative age stereotypes associated with
|
Levy et al11 | Integration of:
|
Predictions applied to US adult population ages ≥60 | Ageism, captured with 3 measures: |
|
Ageism associated with
|
Levy et al72 | HRS Longitudinal self-reported survey data (2008/2010), cognitive assessments (every 2 years for 4 years), and salivary APOE ε4 biomarker (2006/2008) |
Subsample from nationally representative sample without dementia at baseline N=4765 Ages ≥60, mean 72 at baseline |
Attitudes Towards Own Aging scale from the Philadelphia Geriatric Center Morale Scale63 | Cognition: assessment and APOE ε4 gene (associated with increased dementia risk) | Negative age beliefs at baseline associated with
|
Levy et al73 | HRS Longitudinal self-reported survey data (2008/2010), cognitive assessments (every 2 years for 8 years), and salivary APOE ε2 biomarker (2006/2008) |
Subsample from nationally representative sample N=3895 Ages 60–97, mean 71.1 at baseline |
Attitudes Towards Own Aging scale from the Philadelphia Geriatric Center Morale Scale63 | Cognition: cognitive assessment and APOE ε2 gene (associated with better cognition) | Negative age beliefs at baseline associated with
|
Levy & Slade74 | HRS Longitudinal self-reported survey data and cognitive assessments every 2 years from 2008–2020 |
Subsample from nationally representative sample N=1716 Ages ≥65, mean 77.8 at baseline |
Attitudes Towards Own Aging scale from the Philadelphia Geriatric Center Morale Scale63 (scores dichotomized as positive/negative relative to median) |
Cognition (mild cognitive impairment) | Negative attitudes toward aging at baseline associated with
|
McDarby et al75 | Cross-sectional mixed methods study embedded within larger longitudinal study Brief semi-structured qualitative interviews and quantitative self-reported survey data Data collected: 2021 **Also Qualitative Study |
Convenience sample from Midwestern US N=73 Ages 65–89, mean 73.3 |
|
|
Differential treatment related to age and media messaging related to COVID-19 pandemic and older adults, sometimes interpreted as benevolent ageism
Increase awareness of age (own/others’) made feel
Media attention on older adults and pandemic made feel
|
Steward & Hasche76 | HRS Self-reported survey data Cross-sectional data collected: 2016 |
Nationally representative community residing sample N=4561 Ages≥50, mean 67.7 |
Self-perceptions of aging, as indicated by adapted Attitudes Towards Own Aging scale from the Philadelphia Geriatric Center Morale Scale63 & Berlin Aging Study44 | Physical activity, frequency **health as independent variable |
Exercise associated with
|
Voelkner & Caskie77 | Health task data and both self-reported survey data Cross-sectional data collected: 2019 |
Convenience sample of US residents from MTurk online platform N=215 Ages 66–90, mean 69.1 |
Cognition: perceived functioning, immediate and delayed recall tasks, inductive reasoning (3 tasks) **health as independent variable |
Better memory associated with
Better reasoning associated with
|
|
Qualitative Studies | |||||
Makris et al79 | Precipitating Events Project Semi-structured interviews (n=23) and focus groups (n=16) |
Convenience sample of adults with restricting back pain from Connecticut & New York N=93 Ages ≥ 65, median 83 |
Belief that restrictive back pain is inevitable with age held by participant (internalized aging stigma) and/or healthcare providers (ageist prejudice and discrimination) |
|
Prejudices about the age-related inevitability of back pain (self and provider) associated with
|
Mayo et al80 | Semi-structured focus groups (n=2) Data collected: 2019 |
Convenience sample from New England N=27 Ages 60–86 Stratified by generation-baby boomer (N=17) and silent (N=10) |
Perceptions of aging stigma and its harms |
|
Aging stigma associated with
|
McDarby et al, 202275 | Cross sectional mixed methods study embedded within larger longitudinal study Brief semi-structured qualitative interviews and quantitative self-reported survey Data collected: 2021 **Also Quantitative Study-Cross Sectional |
Convenience sample from Midwestern US N=73 Ages 65–89, mean 73.3 |
|
|
Differential treatment related to age and media messaging related to COVID-19 pandemic and older adults, sometimes interpreted as benevolent ageism
Increase awareness of age (own/others’) made feel
Media attention on older adults and pandemic made feel
|
Wallhagen, 201081 | Longitudinal dyadic study In-depth interview data collected at baseline, 3- and 12-month follow-up |
Convenience sample of older adults from California with hearing loss and communication partners N=91 dyads at baseline
|
|
|
Stigma of age-related hearing loss associated with
|
Note: Studies representing more than one study type listed in all relevant sections.
Abbreviations: BP, blood pressure; HRS, Health and Retirement Survey.