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Neighbourhood characteristics and mental disorders in three Chinese cities: multilevel models from the World Mental Health Surveys
OBJECTIVES: The rapid growth of urban areas in China in the past few decades has introduced profound changes in family structure and income distribution that could plausibly affect mental health. Although multilevel studies of the influence of area-level socioeconomic factors on mental health have b...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5652513/ https://www.ncbi.nlm.nih.gov/pubmed/29025841 http://dx.doi.org/10.1136/bmjopen-2017-017679 |
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author | Chiavegatto Filho, Alexandre Dias Porto Sampson, Laura Martins, Silvia S Yu, Shui Huang, Yueqin He, Yanling Lee, Sing Hu, Chiyi Zaslavsky, Alan Kessler, Ronald C Galea, Sandro |
author_facet | Chiavegatto Filho, Alexandre Dias Porto Sampson, Laura Martins, Silvia S Yu, Shui Huang, Yueqin He, Yanling Lee, Sing Hu, Chiyi Zaslavsky, Alan Kessler, Ronald C Galea, Sandro |
author_sort | Chiavegatto Filho, Alexandre Dias Porto |
collection | PubMed |
description | OBJECTIVES: The rapid growth of urban areas in China in the past few decades has introduced profound changes in family structure and income distribution that could plausibly affect mental health. Although multilevel studies of the influence of area-level socioeconomic factors on mental health have become more common in other parts of the world, a study of this sort has not been carried out in Chinese cities. Our objectives were to examine the associations of two key neighbourhood-level variables—median income and percentage of married individuals living in the neighbourhood—with mental disorders net of individual-level income and marital status in three Chinese cities. SETTING: Household interviews in Beijing, Shanghai and Shenzhen, PRC, as part of the cross-sectional World Mental Health Surveys. PARTICIPANTS: 4072 men and women aged 18–88 years. PRIMARY AND SECONDARY OUTCOME MEASURES: Lifetime and past-year internalising and externalising mental disorders. RESULTS: Each one-point increase in neighbourhood-level percentage of married residents was associated with a 1% lower odds of lifetime (p=0.024) and 2% lower odds of past-year (p=0.008) individual-level externalising disorder, net of individual-level marital status. When split into tertiles, individuals living in neighbourhoods in the top tertile of percentage of married residents had 54% lower odds of a past-year externalising disorder (OR=0.46, 95% CI: 0.24 to 0.87) compared with those in the bottom tertile. Neighbourhood-level marital status was not statistically associated with either lifetime or past-year internalising disorders. Neighbourhood-level income was not statistically associated with odds of either internalising or externalising disorders. CONCLUSIONS: The proportion of married residents in respondents’ neighbourhoods was significantly inversely associated with having externalising mental disorders in this sample of Chinese cities. Possible mechanisms for this finding are discussed and related to social causation, social selection and social control theories. Future work should examine these relationships longitudinally. |
format | Online Article Text |
id | pubmed-5652513 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-56525132017-10-27 Neighbourhood characteristics and mental disorders in three Chinese cities: multilevel models from the World Mental Health Surveys Chiavegatto Filho, Alexandre Dias Porto Sampson, Laura Martins, Silvia S Yu, Shui Huang, Yueqin He, Yanling Lee, Sing Hu, Chiyi Zaslavsky, Alan Kessler, Ronald C Galea, Sandro BMJ Open Global Health OBJECTIVES: The rapid growth of urban areas in China in the past few decades has introduced profound changes in family structure and income distribution that could plausibly affect mental health. Although multilevel studies of the influence of area-level socioeconomic factors on mental health have become more common in other parts of the world, a study of this sort has not been carried out in Chinese cities. Our objectives were to examine the associations of two key neighbourhood-level variables—median income and percentage of married individuals living in the neighbourhood—with mental disorders net of individual-level income and marital status in three Chinese cities. SETTING: Household interviews in Beijing, Shanghai and Shenzhen, PRC, as part of the cross-sectional World Mental Health Surveys. PARTICIPANTS: 4072 men and women aged 18–88 years. PRIMARY AND SECONDARY OUTCOME MEASURES: Lifetime and past-year internalising and externalising mental disorders. RESULTS: Each one-point increase in neighbourhood-level percentage of married residents was associated with a 1% lower odds of lifetime (p=0.024) and 2% lower odds of past-year (p=0.008) individual-level externalising disorder, net of individual-level marital status. When split into tertiles, individuals living in neighbourhoods in the top tertile of percentage of married residents had 54% lower odds of a past-year externalising disorder (OR=0.46, 95% CI: 0.24 to 0.87) compared with those in the bottom tertile. Neighbourhood-level marital status was not statistically associated with either lifetime or past-year internalising disorders. Neighbourhood-level income was not statistically associated with odds of either internalising or externalising disorders. CONCLUSIONS: The proportion of married residents in respondents’ neighbourhoods was significantly inversely associated with having externalising mental disorders in this sample of Chinese cities. Possible mechanisms for this finding are discussed and related to social causation, social selection and social control theories. Future work should examine these relationships longitudinally. BMJ Publishing Group 2017-10-11 /pmc/articles/PMC5652513/ /pubmed/29025841 http://dx.doi.org/10.1136/bmjopen-2017-017679 Text en © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
spellingShingle | Global Health Chiavegatto Filho, Alexandre Dias Porto Sampson, Laura Martins, Silvia S Yu, Shui Huang, Yueqin He, Yanling Lee, Sing Hu, Chiyi Zaslavsky, Alan Kessler, Ronald C Galea, Sandro Neighbourhood characteristics and mental disorders in three Chinese cities: multilevel models from the World Mental Health Surveys |
title | Neighbourhood characteristics and mental disorders in three Chinese cities: multilevel models from the World Mental Health Surveys |
title_full | Neighbourhood characteristics and mental disorders in three Chinese cities: multilevel models from the World Mental Health Surveys |
title_fullStr | Neighbourhood characteristics and mental disorders in three Chinese cities: multilevel models from the World Mental Health Surveys |
title_full_unstemmed | Neighbourhood characteristics and mental disorders in three Chinese cities: multilevel models from the World Mental Health Surveys |
title_short | Neighbourhood characteristics and mental disorders in three Chinese cities: multilevel models from the World Mental Health Surveys |
title_sort | neighbourhood characteristics and mental disorders in three chinese cities: multilevel models from the world mental health surveys |
topic | Global Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5652513/ https://www.ncbi.nlm.nih.gov/pubmed/29025841 http://dx.doi.org/10.1136/bmjopen-2017-017679 |
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