Evidence map›Paper›PMID 41034944›Full record

ArticleBMC public health2025

The association between perceived neighborhood environment and health-related quality of life among residents living in mega-communities in Guiyang, Southwestern China.

Yong Lu, Yanyin Long, Kai Qin, Jiao Chen, Di Liu, Bo Yan

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Article in BMC public health, 2025. 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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1 citing paper in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Yong LuSchool of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, China.
Yanyin LongSchool of Pediatrics, Guizhou Medical University, Guiyang, China.
Kai QinSchool of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, China.
Jiao ChenSchool of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, China.
Di LiuSchool of Public Health, Guangzhou Medical University, Guangzhou, China.
Bo YanGuangzhou Medical University Library, Guangzhou, China. yb2023@gzhmu.edu.cn.

Funding

College Student Innovation and Entrepreneurship Training Program [S202210660112]National Natural Science Foundation of China Incubation Program, Guizhou Medical University, China [No. 20NSP061]Research Skills Improvement Project of Guangzhou Medical University [02-410-2302248XM]Science and Technology Plan Project of Guizhou Province [ZK 2022 general 373]the Doctoral Start-up Foundation of Guizhou Medical University, China [No. J (2020)65]
6 · The paper itself

Abstract

backgroundWith rapid urbanization, lots of mega-communities have been built in the cities of China. Lots of neighborhood environmental problems exist in mega-communities and may impact on residents' quality of life. To the best of our knowledge, little is known about the association between neighborhood environment and HRQoL among residents living in mega-communities. The purpose of this study was to investigate the association between perceived neighborhood environment and health-related quality of life (HRQoL) among residents living in mega-communities in Guiyang, Southwestern China.

methodsA cross-sectional study was carried out among 665 residents selected from three mega-communities in Guiyang. The perceived neighborhood environment was measured using the perceived neighborhood environment scale developed based on characteristics of Chinese communities, and HRQoL was evaluated using Short Form 12 (SF-12). Spearman's rank correlation coefficients and multiple linear regression model were used to assess the association between perceived neighborhood environment and HRQoL.

resultsAfter controlling for confounding factors, mental HRQoL was positively associated with perceived neighborhood safety (β = 0.137, P < 0.001), and air pollution (β = 0.142, P = 0.001). Physical HRQoL had positive associations with perceived sidewalk condition (β = 0.090, P = 0.026), neighborhood safety (β = 0.085, P = 0.042), and indoor light (β = 0.085, P = 0.034).

conclusionAmong residents who lived in mega-communities, satisfaction with neighborhood safety, air pollution, sidewalk condition, and indoor light were positively related with HRQoL. This study could provide evidence for the design and planning of neighborhood environment to promote HRQoL.

Indexed as

Neighborhood CharacteristicsQuality of LifeResidence CharacteristicsAdultAgedChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedSurveys and QuestionnairesYoung AdultGuiyangHealth-related quality of lifeMega-communityPerceived neighborhood environmentResidents

Identifiers

PMID41034944
PMCPMC12487264

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LicenceCC BY-NC-ND
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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.