Evidence map›Paper›PMID 42160329›Full record

ArticlePloS one2026

Socioeconomic status and the relationship of physical performance with activities of daily living among US older adults.

Grace Chang, Rahul Malhotra, Benjamin Seligman

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Grace ChangFielding School of Public Health, University of California, Los Angeles, United States of America.
Rahul MalhotraCentre for Ageing Research & Education, Duke-NUS Medical School, Singapore.ORCID https://orcid.org/0000-0002-9978-4276
Benjamin SeligmanGeriatric Research, Education, and Clinical Center, Veterans Affairs Greater Los Angeles Health Care System, Los Angeles, United States of America.ORCID https://orcid.org/0000-0002-8223-5924

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIndependence in activities of daily living (ADLs) is an important health outcome for older adults and a predictor of morbidity and mortality. Physical performance is closely associated with ADL independence. It is not clear if socioeconomic status (SES) may alter this relationship so that people with more resources may remain independent at lower performance.

objectiveTo assess whether SES is an effect modifier of the association between physical performance and ADL limitations.

methodsUsing data from the Health and Retirement Study, we considered two outcomes in logistic regression models: cross-sectional presence of ADL limitations and longitudinal development of new limitations. We separately considered two performance measures, gait speed (gait) and grip strength (grip), and three SES measures, education, income, and wealth, with and without an interaction term, for a total of 12 regressions. Covariates were age, sex, comorbidity count, cognition, and BMI (for grip) or height (for gait).

resultsRespective sample sizes for gait and grip were 4,825 and 3,401 in cross-sectional analysis and 3,995 and 2,860 longitudinally. They were 57-59% female with median ages 69.0-75.4 years. In regressions without interaction terms, gait and grip were significantly associated with greater odds for the presence or development of ADL limitations (0.95 and 0.97 respectively for grip, 0.03 and 0.20 for gait) while SES measures were not. When interaction terms were included, none reached statistical significance.

conclusionsWe found that SES did not modify the relationship between performance measures and ADL limitations cross-sectionally or longitudinally. Greater SES may not reduce the effort needed for ADLs, or Americans with low SES may similarly access adaptive equipment. Maintaining physical performance remains key for maintaining independence.

Indexed as

Activities of Daily LivingPhysical Functional PerformanceSocial ClassAgedAged, 80 and overCross-Sectional StudiesFemaleGaitHand StrengthHumansLongitudinal StudiesMaleUnited States

Identifiers

PMID42160329
PMCPMC13189311

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