Evidence map›Paper›PMID 40708378›Full record

ArticleAnnals of medicine2025

Neighborhood socioeconomic inequality and sarcopenia in community-dwelling older adults: a cross-sectional study.

Xiangyu Zhai, Doris S F Yu

Abstract read
In one paragraph

Article in Annals of medicine, 2025. 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

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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

2 authors.

Xiangyu ZhaiSchool of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.ORCID 0000-0003-2148-9426
Doris S F YuSchool of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.ORCID 0000-0002-9359-1748

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIndividual-level socioeconomic characteristics are known to predict sarcopenia, but little is known about how the neighborhood context shapes this debilitating problem among older adults. This study examined the association between neighborhood socioeconomic inequality and sarcopenia. MATERIALS AND

methodsData from three impact evaluation studies aimed at promoting healthy aging by using the WHO Integrated Care for Older People Model, tailored exercise training, and social prescribing strategies. A total of 1650 older adults (aged 60 or above) were included in this secondary data analysis. Sarcopenia was diagnosed according to the Asian Working Group for Sarcopenia 2019 algorithm. A neighborhood socioeconomic status (nSES) index was constructed using a weighted combination of seven validated neighborhood-level socioeconomic indicators derived from government data across 292 Tertiary Planning Units in Hong Kong. The index was categorized into distribution-based tertiles as high (T1), moderate (T2), and low (T3). Logistic regression analysis identified the association between nSES and sarcopenia, adjusting for age, gender, body mass index, and individual-level socioeconomic characteristics.

resultsAmong the participants, 11.03% (

conclusionsThis is the first study to identify the negative relationship between comprehensive nSES and the prevalence of sarcopenia. The findings highlight the need to develop socio-environmental sensitive risk stratification and preventive care to manage later-age sarcopenia.

Indexed as

Independent LivingNeighborhood CharacteristicsResidence CharacteristicsSarcopeniaAgedAged, 80 and overCross-Sectional StudiesFemaleHong KongHumansMaleMiddle AgedRisk FactorsSocial ClassSocioeconomic Factorshealth inequalityNeighborhood socioeconomic statusolder adultssarcopeniasocial environment

Identifiers

PMID40708378
PMCPMC12302466

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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.