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Published in: BMC Public Health 1/2019

Open Access 01-12-2019 | Affective Disorder | Research article

Depressive symptoms among Chinese residents: how are the natural, built, and social environments correlated?

Authors: Ruoyu Wang, Ye Liu, Desheng Xue, Marco Helbich

Published in: BMC Public Health | Issue 1/2019

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Abstract

Background

Depression has become a severe societal problem in China. Although many studies have analyzed how environmental characteristics within neighborhoods affect depression, only a few have dealt with developing countries, and even fewer have considered built, natural, and social environments concurrently.

Methods

Based on a sample of 20,533 Chinese residents assessed in 2016, the present study examined associations between depressive symptoms and respondents’ built, natural, and social environments. Depressive symptoms were measured using the Center for Epidemiologic Studies Depression Scale (CES-D), and multilevel regression models were fitted accounting for potential covariates.

Results

Results indicated that living in neighborhoods with more green spaces and a higher population density were negatively associated with CES-D scores. Living in neighborhoods with more social capital was protective against depression. Furthermore, results showed that the social environment moderated the association between the built environment and depression.

Conclusions

Social environments moderate the relationship between the built environment and depression. As environments seem to interact with each other, we advise against relying on a single environment when examining associations with depressive symptoms.
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Metadata
Title
Depressive symptoms among Chinese residents: how are the natural, built, and social environments correlated?
Authors
Ruoyu Wang
Ye Liu
Desheng Xue
Marco Helbich
Publication date
01-12-2019
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2019
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-019-7171-9

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