Evidence map›Paper›PMID 41818248›Full record

ArticlePloS one2026

Thriving in place: Multidimensional neighborhood typologies and cognitive function among U.S. older adults in the Health and Retirement Study.

Jiao Yu, Weidi Qin, Jiuzhou Wang, Eva Kahana

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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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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Jiao YuSchool of Public Health, Yale University, New Haven, Connecticut, United States of America.ORCID https://orcid.org/0000-0001-9876-7928
Weidi QinSandra Rosenbaum School of Social Work, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
Jiuzhou WangSchool of Public Health, University of Minnesota Twin Cities, Minneapolis, Minnesota, United States of America.ORCID https://orcid.org/0000-0003-0703-7255
Eva KahanaDepartment of Sociology, Case Western Reserve University, Cleveland, Ohio, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNeighborhood physical, social, and service environments are increasingly recognized as important contextual factors related to cognitive health; however, few studies have examined how these features collectively shape cognitive outcomes. This study aimed to classify neighborhood typologies based on a constellation of neighborhood features and to investigate their associations with cognitive function among U.S. older adults.

methodsWe conducted a cross-sectional analysis of 6,480 participants from the 2016 wave of the Health and Retirement Study. To examine contemporaneous associations, neighborhood features were derived from the 2015 National Neighborhood Data Archive, including measures of neighborhood deprivation, service facilities, food access, healthcare facilities, and environmental hazards. Cognitive function was assessed using the 27-point Telephone Interview for Cognitive Status (TICS). The Partitioning Around Medoids (PAM) clustering algorithm was used to classify neighborhood typologies. Multilevel regression models were performed to examine the associations between neighborhood typologies and cognitive function, with individuals as the first level and census tracts as the second level.

resultsFour neighborhood typologies were identified based on the elbow method and theoretical interpretability: (1) low deprivation, green neighborhood, (2) mid-SES, high hazard neighborhood, (3) high-amenity neighborhood, and (4) disadvantaged neighborhood. Regression results revealed significant disparities in cognitive function across neighborhood typologies. Compared to those living in disadvantaged neighborhoods, older residents in high-amenity neighborhoods characterized by extensive facilities and cognitively stimulating services demonstrated better cognitive function (β = 3.85, 95% CI: 1.23-6.47), after adjusting for individual-level characteristics.

conclusionsThe identified neighborhood typologies reveal an unequal distribution of amenities and hazards, which may help explain considerable inequities in late-life cognitive health. Tailored community initiatives addressing amenity availability and environmental hazards could be pivotal in promoting cognitive health and supporting aging in place.

Indexed as

CognitionNeighborhood CharacteristicsResidence CharacteristicsAgedAged, 80 and overAging in PlaceCross-Sectional StudiesFemaleHumansMaleUnited States

Identifiers

PMID41818248
PMCPMC12981433

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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 Socratic graph.