Evidence map›Paper›PMID 42040091›Full record

ArticleFrontiers in public health2026

Lifestyle-based community exposure and self-rated health: a multilevel analysis of neighborhood disadvantage in Urban China.

Jinfu Xu, Yanjun Wu, Xiaochang Lv, Liyuan Yao, Yee Cheng Kueh, Garry Kuan, Liying Yao

Abstract read
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Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers 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

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Jinfu XuJournal Center, Guangzhou Sport University, Guangzhou, China.
Yanjun WuSchool of Physical Education, Guangzhou University, Guangzhou, China.
Xiaochang LvSchool of Physical Education, Guangzhou University, Guangzhou, China.
Liyuan YaoFaculty of Arts, Design & Architecture, University of New South Wales, Paddington, NSW, Australia.
Yee Cheng KuehBiostatistics and Research Methodology Unit, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia.
Garry KuanExercise and Sports Science Programme, School of Health Sciences, Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia.
Liying YaoSchool of Physical Education, Guangzhou University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Neighborhood socioeconomic disadvantage is a well-established determinant of population health, yet residents living in the same communities often experience unequal health outcomes. Such heterogeneity may reflect differences in lifestyle-based exposure to local environments. However, evidence on whether and how this exposure patterns modify neighborhood health effects remains limited, particularly in rapidly urbanizing contexts such as China. This study examined whether lifestyle-based community exposure moderates the association between neighborhood concentrated disadvantage and self-rated health among urban residents. Methods: Data were obtained from the 2018 China Labor-force Dynamics Survey, including 2105 urban residents nested within 133 communities. Neighborhood concentrated disadvantage was constructed using principal component analysis of community-level socioeconomic indicators. Community exposure patterns were identified via latent class analysis based on five lifestyle-related behaviors: smoking, alcohol consumption, regular physical exercise, neighborhood reciprocity, and community participation. Multilevel logistic regression models were used to estimate the association between neighborhood disadvantage and self-rated health and to test cross-level interaction effects, adjusting for individual sociodemographic and socioeconomic characteristics. Results: Three distinct lifestyle-based community exposure patterns were identified: health-oriented (13.37%), mixed (21.11%), and high-risk isolated (65.53%). Higher neighborhood concentrated disadvantage was significantly associated with lower odds of reporting good self-rated health. Compared with the health-oriented reference group, residents in the mixed (risk/part) class reported significantly poorer self-rated health ( Conclusions: In contemporary urban China, neighborhood socioeconomic disadvantage and individual lifestyle patterns function as two parallel and independent risk pathways shaping health outcomes. Reducing urban health disparities therefore requires both structural neighborhood interventions and targeted behavioral strategies, rather than assuming that healthy lifestyles can offset the effects of severe spatial deprivation.

Indexed as

Life StyleNeighborhood CharacteristicsResidence CharacteristicsUrban PopulationAdultChinaFemaleHumansMaleMiddle AgedMultilevel AnalysisSocioeconomic Disparities in HealthSocioeconomic Factorslatent class analysislifestyle exposureneighborhood disadvantagepublic healthself-rated health

Identifiers

PMID42040091
PMCPMC13106475

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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.