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The association between community-level socioeconomic status and depressive symptoms among middle-aged and older adults in China
BACKGROUND: There was little evidence concerning the association of community socioeconomic status (SES) and the cross-level interaction between community- and individual-level SES with depressive symptoms in China. This study aimed to investigate the association of community-level SES with depressi...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9047288/ https://www.ncbi.nlm.nih.gov/pubmed/35484534 http://dx.doi.org/10.1186/s12888-022-03937-9 |
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author | Liu, Yan Liu, Zhaorui Liang, Richard Luo, Yanan |
author_facet | Liu, Yan Liu, Zhaorui Liang, Richard Luo, Yanan |
author_sort | Liu, Yan |
collection | PubMed |
description | BACKGROUND: There was little evidence concerning the association of community socioeconomic status (SES) and the cross-level interaction between community- and individual-level SES with depressive symptoms in China. This study aimed to investigate the association of community-level SES with depressive symptoms among Chinese middle-aged and older people and to examine whether individual-level SES moderates this relationship. METHODS: Using data from the China Health and Retirement Longitudinal 2011–2018 Study, the 10-item Center for Epidemiologic Studies Depression Scale (CES-D-10) short form was used to measure depressive symptoms in 35,546 Chinese individuals aged 45 years and older. Community SES was calculated as a sum of z scores of the average years of schooling and household income per capita, which were derived by aggregating the individual measures to the community level. Two-level hierarchical linear regression was used. RESULTS: Community SES was negatively related to CES-D-10 scores (coef=-0.438). A 1-SD increase in individual SES was associated with lower CES-D-10 scores (coef=-0.490). The cross-level interaction on individual- and community-level SES was significantly associated with depressive symptoms, indicating that with the increase of individual-level SES, the effect of community-level SES on depression decreases. Stratified analyses observed robust associations of community SES with CES-D scores between urban and rural residents. CONCLUSIONS: This study showed that individuals who live in lower-SES communities had more severe depressive symptoms, particularly individuals with low SES. Additional attention should be given to the community socioeconomic context of middle-aged and older adults with lower SES, which may be helpful to reduce SES inequalities in depressive symptoms in China. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12888-022-03937-9. |
format | Online Article Text |
id | pubmed-9047288 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-90472882022-04-29 The association between community-level socioeconomic status and depressive symptoms among middle-aged and older adults in China Liu, Yan Liu, Zhaorui Liang, Richard Luo, Yanan BMC Psychiatry Research BACKGROUND: There was little evidence concerning the association of community socioeconomic status (SES) and the cross-level interaction between community- and individual-level SES with depressive symptoms in China. This study aimed to investigate the association of community-level SES with depressive symptoms among Chinese middle-aged and older people and to examine whether individual-level SES moderates this relationship. METHODS: Using data from the China Health and Retirement Longitudinal 2011–2018 Study, the 10-item Center for Epidemiologic Studies Depression Scale (CES-D-10) short form was used to measure depressive symptoms in 35,546 Chinese individuals aged 45 years and older. Community SES was calculated as a sum of z scores of the average years of schooling and household income per capita, which were derived by aggregating the individual measures to the community level. Two-level hierarchical linear regression was used. RESULTS: Community SES was negatively related to CES-D-10 scores (coef=-0.438). A 1-SD increase in individual SES was associated with lower CES-D-10 scores (coef=-0.490). The cross-level interaction on individual- and community-level SES was significantly associated with depressive symptoms, indicating that with the increase of individual-level SES, the effect of community-level SES on depression decreases. Stratified analyses observed robust associations of community SES with CES-D scores between urban and rural residents. CONCLUSIONS: This study showed that individuals who live in lower-SES communities had more severe depressive symptoms, particularly individuals with low SES. Additional attention should be given to the community socioeconomic context of middle-aged and older adults with lower SES, which may be helpful to reduce SES inequalities in depressive symptoms in China. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12888-022-03937-9. BioMed Central 2022-04-28 /pmc/articles/PMC9047288/ /pubmed/35484534 http://dx.doi.org/10.1186/s12888-022-03937-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visithttp://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Liu, Yan Liu, Zhaorui Liang, Richard Luo, Yanan The association between community-level socioeconomic status and depressive symptoms among middle-aged and older adults in China |
title | The association between community-level socioeconomic status and depressive symptoms among middle-aged and older adults in China |
title_full | The association between community-level socioeconomic status and depressive symptoms among middle-aged and older adults in China |
title_fullStr | The association between community-level socioeconomic status and depressive symptoms among middle-aged and older adults in China |
title_full_unstemmed | The association between community-level socioeconomic status and depressive symptoms among middle-aged and older adults in China |
title_short | The association between community-level socioeconomic status and depressive symptoms among middle-aged and older adults in China |
title_sort | association between community-level socioeconomic status and depressive symptoms among middle-aged and older adults in china |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9047288/ https://www.ncbi.nlm.nih.gov/pubmed/35484534 http://dx.doi.org/10.1186/s12888-022-03937-9 |
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