Evidence map›Paper›PMID 42110242›Full record

ArticleFrontiers in public health2026

Community-built environment and self-rated health in Western China: a latent serial mediation within SEM of sleep quality and family functioning.

Lansicheng Yao, Jacquline Tham, Qing Pan, Xiaobing Tian

Abstract read
In one paragraph

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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Lansicheng YaoForeign Affairs Office, North Sichuan Medical College, Nanchong, Sichuan, China.
Jacquline ThamGraduate School of Management, Postgraduate Center, Management and Science University, Shah Alam, Selangor, Malaysia.
Qing PanHealth Management Center, General Practice Medical Center, Innovation Institute for Integration of Medicine and Engineering, West China Hospital, Sichuan University, Chengdu, China.
Xiaobing TianSchool of Public Health, North Sichuan Medical College, Nanchong, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To clarify the underlying relationship between community-built environment and self-rated health in rapidly urbanizing China and examine the chained mediation effects of sleep quality and family functioning. Methods: Data were derived from a community-based cross-sectional survey conducted in Gaoping District, Sichuan Province. The Chinese versions of the Neighborhood Environment Walkability Scale-Abbreviated, the 36-Item Short Form Health Survey, the Insomnia Severity Index, and the Family Assessment Device were used to assess the community-built environment, self-rated health, sleep quality, and family functioning. Based on the Structural Equation Model, a structural equation model was constructed, and the weighted least squares mean- and variance-adjusted estimator was used to test the model. After the preliminary confirmatory factor analysis, model fit was evaluated using the comparative fit index, Tucker-Lewis's index, root mean square error of approximation, and standardized root mean square residual. Results: This study included 2,705 adults (mean age 51.8 ± 18.3 years; 60% female). After adjusting for socioeconomic characteristics, the community-built environment was not significantly associated with self-rated health (all Conclusion: In the mixed urban-rural context of western China, the community-built environment was not significantly associated with the self-rated health among community-dwelling adults. Notably, sleep quality was identified as the predominant factor affecting self-rated health outcomes.

Indexed as

Environment DesignFamily RelationsHealth StatusNeighborhood CharacteristicsSleep QualityAdultAgedChinaCross-Sectional StudiesFemaleHumansLatent Class AnalysisMaleMiddle Agedcommunity-built environmentfamily functioningself-rated healthsleep qualitystructural equation model

Identifiers

PMID42110242
PMCPMC13152844

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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.