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Depressive symptoms among Chinese residents: how are the natural, built, and social environments correlated?
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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6611031/ https://www.ncbi.nlm.nih.gov/pubmed/31277619 http://dx.doi.org/10.1186/s12889-019-7171-9 |
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author | Wang, Ruoyu Liu, Ye Xue, Desheng Helbich, Marco |
author_facet | Wang, Ruoyu Liu, Ye Xue, Desheng Helbich, Marco |
author_sort | Wang, Ruoyu |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6611031 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-66110312019-07-16 Depressive symptoms among Chinese residents: how are the natural, built, and social environments correlated? Wang, Ruoyu Liu, Ye Xue, Desheng Helbich, Marco BMC Public Health Research Article 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. BioMed Central 2019-07-05 /pmc/articles/PMC6611031/ /pubmed/31277619 http://dx.doi.org/10.1186/s12889-019-7171-9 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Wang, Ruoyu Liu, Ye Xue, Desheng Helbich, Marco Depressive symptoms among Chinese residents: how are the natural, built, and social environments correlated? |
title | Depressive symptoms among Chinese residents: how are the natural, built, and social environments correlated? |
title_full | Depressive symptoms among Chinese residents: how are the natural, built, and social environments correlated? |
title_fullStr | Depressive symptoms among Chinese residents: how are the natural, built, and social environments correlated? |
title_full_unstemmed | Depressive symptoms among Chinese residents: how are the natural, built, and social environments correlated? |
title_short | Depressive symptoms among Chinese residents: how are the natural, built, and social environments correlated? |
title_sort | depressive symptoms among chinese residents: how are the natural, built, and social environments correlated? |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6611031/ https://www.ncbi.nlm.nih.gov/pubmed/31277619 http://dx.doi.org/10.1186/s12889-019-7171-9 |
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