Evidence map›Paper›PMID 36494219›Full record

ArticleSocial science & medicine (1982)2023

Community-level age bias and older adult mortality.

Alexander J Kellogg, David W Hancock, Grace Y Cho, Allecia E Reid

Abstract read
In one paragraph

Article in Social science & medicine (1982), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Ageism and late-life mortality: How community matters.Social science & medicine (1982) · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Alexander J KelloggUniversity of Massachusetts, Amherst; Department of Psychological and Brain Sciences; 135 Hicks Way, Tobin Hall, Amherst, MA, 01003, USA.
David W HancockUniversity of Massachusetts, Amherst; Department of Psychological and Brain Sciences; 135 Hicks Way, Tobin Hall, Amherst, MA, 01003, USA.
Grace Y ChoUniversity of Massachusetts, Amherst; Department of Psychological and Brain Sciences; 135 Hicks Way, Tobin Hall, Amherst, MA, 01003, USA.
Allecia E ReidUniversity of Massachusetts, Amherst; Department of Psychological and Brain Sciences; 135 Hicks Way, Tobin Hall, Amherst, MA, 01003, USA. Electronic address: aereid@umass.edu.

Funding

Promoting Maintenance of Behavior Change Following Brief Alcohol InterventionK01AA028530 · NIAAA · UNIVERSITY OF MASSACHUSETTS AMHERST · PI REID, ALLECIA E. · 2020 to 2024
$865k
NIAAA NIH HHS K01 AA028530
6 · The paper itself

Abstract

rationaleAs the older adult population increases, understanding the health effects of bias against older adults is increasingly important. Whether structural forms of age bias predict worse health has received limited attention.

objectiveWe hypothesized that communities with greater age bias would have higher mortality among residents aged 65 and older. We expected the association to be unique to age bias, rather than general bias (i.e., sexual minority and racial bias), and that the age bias-mortality association would be strongest in predominantly White and younger communities.

methodsExplicit and implicit attitudes toward older adults (N = 1,001,735), sexual minorities (N = 791,966), and Black Americans (N = 2,255,808) were drawn from Project Implicit. Post-stratification relative to U.S. Census demographics was executed to improve the representativeness of county-level explicit and implicit bias estimates. County older adult mortality, estimated cross-sectionally with and longitudinally relative to bias scores, served as outcomes. Models controlled for relevant county-level covariates (e.g., median age) and included all U.S. counties (N = 3142).

resultsContrary to hypotheses but consistent with prior work, explicit age bias was cross-sectionally and longitudinally associated with lower mortality, over and above covariates and generalized community bias. The explicit age bias-lower mortality association only emerged in younger counties but did not depend on county ethnic composition. Implicit age bias was unassociated with outcomes. Post-hoc analyses supported that ageist communities may be associated with better health across the lifespan. Explicit age bias predicted lower mortality in young and middle adulthood; better mental health in middle adulthood, but not exercise or self-rated health, mediated the explicit age bias-older adult mortality association.

conclusionsResults highlight the uniqueness of older age relative to other stigmatized identities. Further examination of the association of community-level age bias with better health may improve longevity for all communities.

Indexed as

RacismSexual and Gender MinoritiesAdultAgedAttitudeBlack or African AmericanHumansLongevityAgeismExplicit biasImplicit biasMortality riskStructural stigma

Identifiers

PMID36494219
PMCPMC11293901

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.