Evidence map›Paper›PMID 41352041›Full record

ArticleSocial science & medicine (1982)2026

Minority stress, community involvement, and cognitive decline in rural SGM older adults: A longitudinal SEM and growth curve approach.

Harry Barbee, Tara McKay

Abstract read
In one paragraph

Article in Social science & medicine (1982), 2026. 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

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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.

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
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

2 authors.

Harry BarbeeJohns Hopkins University Bloomberg School of Public Health, USA. Electronic address: hbarbee1@jh.edu.
Tara McKayVanderbilt University, USA. Electronic address: tara.mckay@vanderbilt.edu.

Funding

The Johns Hopkins Alzheimer's Disease Resource Center for Minority Aging Research - Research Ed ComponentP30AG059298 · NIA · JOHNS HOPKINS UNIVERSITY · PI Joseph John Gallo, ROLAND J. THORPE · 2018 to 2026
$7.1M
NIA NIH HHS P30 AG059298
6 · The paper itself

Abstract

Sexual and gender minority (SGM) older adults in rural areas face elevated cognitive health risks shaped by structural stigma, yet the pathways underlying these inequities are poorly understood. This study investigated how lifetime rural exposure, minority stress exposure, and community involvement influenced cognitive outcomes among SGM older adults in the U.S. South. Using data from a three-wave longitudinal panel of 1259 participants, we applied structural equation modeling (SEM) to examine direct, indirect, and total effects of these factors on cognitive change scores. We then specified a generalized structural equation model (GSEM) with a Poisson latent growth curve to model repeated cognitive problem counts over time, addressing the count distribution of the outcome. SEM results indicated that lifetime rural exposure, gender minority status, and higher educational attainment were associated with increased minority stress exposure, whereas racial minorities and older participants reported lower minority stress. Minority stress was positively associated with community involvement, reflecting adaptive coping response, and mediated the relationships between gender minority status, education, and community involvement. However, neither minority stress nor community involvement predicted cognitive change when modeled as a difference score. In contrast, the GSEM growth model demonstrated that higher minority stress exposure significantly accelerated cognitive problem growth over time, while chronic conditions exacerbated and higher education slowed decline. Findings highlight that minority stress exerts cumulative, longitudinal effects on cognitive trajectories among SGM older adults. Community participation may foster engagement but cannot offset the neurocognitive consequences of structural stigma.

Indexed as

Cognitive DysfunctionMinority GroupsRural PopulationSexual and Gender MinoritiesStress, PsychologicalAgedAged, 80 and overFemaleHumansLatent Class AnalysisLongitudinal StudiesMaleMiddle Aged

Identifiers

PMID41352041
PMCPMC12709596

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Registered trials

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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.