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Depression and its correlations with health-risk behaviors and social capital among female migrants working in entertainment venues in China

OBJECTIVES: Among the dramatic increased internal migration in China in past three decades, a considerable proportion of young females migrated to urban areas and found employment in “entertainment venues”, who may be vulnerable to psychological distress. This study examines the prevalence of depres...

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Autores principales: Yang, Qiaohong, Operario, Don, Zaller, Nickolas, Huang, Wen, Dong, Yanyan, Zhang, Hongbo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5830041/
https://www.ncbi.nlm.nih.gov/pubmed/29489826
http://dx.doi.org/10.1371/journal.pone.0191632
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author Yang, Qiaohong
Operario, Don
Zaller, Nickolas
Huang, Wen
Dong, Yanyan
Zhang, Hongbo
author_facet Yang, Qiaohong
Operario, Don
Zaller, Nickolas
Huang, Wen
Dong, Yanyan
Zhang, Hongbo
author_sort Yang, Qiaohong
collection PubMed
description OBJECTIVES: Among the dramatic increased internal migration in China in past three decades, a considerable proportion of young females migrated to urban areas and found employment in “entertainment venues”, who may be vulnerable to psychological distress. This study examines the prevalence of depression and explores its associations with health-risk behaviors and social capital among this subgroup. METHODS: 358 female migrants were recruited from entertainment venues in a rapidly growing urban city in China. A survey which included measures of depressive symptoms, health-risk behaviors, social capital, and socio-demographic characteristics was administered. Multivariable logistic regression was conducted to identify the independent correlates of depression. RESULTS: Of participants, 31.0% had clinically significant depressive symptoms (CES-D score ≥ 16). In multivariable models, greater likelihood of depressive symptoms was associated with working in massage centers/hotels (OR = 3.20, 95% CI: 1.80–5.70), having probable alcohol dependence (OR = 2.25, 95% CI: 1.22–4.16), self-reported lifetime use of illicit drugs (OR = 2.98, 95% CI: 1.26–7.06), growing up in a non-nuclear family (OR = 2.46, 95% CI: 1.18–5.16), and poor social capital (OR = 6.01, 95% CI = 2.02–17.87). CONCLUSION: Intervention strategies to address the high prevalence of depression among female migrants are needed, and should also aim to reduce problematic alcohol and drug use, improve social capital, and target women working in massage centers or hotels.
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spelling pubmed-58300412018-03-19 Depression and its correlations with health-risk behaviors and social capital among female migrants working in entertainment venues in China Yang, Qiaohong Operario, Don Zaller, Nickolas Huang, Wen Dong, Yanyan Zhang, Hongbo PLoS One Research Article OBJECTIVES: Among the dramatic increased internal migration in China in past three decades, a considerable proportion of young females migrated to urban areas and found employment in “entertainment venues”, who may be vulnerable to psychological distress. This study examines the prevalence of depression and explores its associations with health-risk behaviors and social capital among this subgroup. METHODS: 358 female migrants were recruited from entertainment venues in a rapidly growing urban city in China. A survey which included measures of depressive symptoms, health-risk behaviors, social capital, and socio-demographic characteristics was administered. Multivariable logistic regression was conducted to identify the independent correlates of depression. RESULTS: Of participants, 31.0% had clinically significant depressive symptoms (CES-D score ≥ 16). In multivariable models, greater likelihood of depressive symptoms was associated with working in massage centers/hotels (OR = 3.20, 95% CI: 1.80–5.70), having probable alcohol dependence (OR = 2.25, 95% CI: 1.22–4.16), self-reported lifetime use of illicit drugs (OR = 2.98, 95% CI: 1.26–7.06), growing up in a non-nuclear family (OR = 2.46, 95% CI: 1.18–5.16), and poor social capital (OR = 6.01, 95% CI = 2.02–17.87). CONCLUSION: Intervention strategies to address the high prevalence of depression among female migrants are needed, and should also aim to reduce problematic alcohol and drug use, improve social capital, and target women working in massage centers or hotels. Public Library of Science 2018-02-28 /pmc/articles/PMC5830041/ /pubmed/29489826 http://dx.doi.org/10.1371/journal.pone.0191632 Text en © 2018 Yang et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Yang, Qiaohong
Operario, Don
Zaller, Nickolas
Huang, Wen
Dong, Yanyan
Zhang, Hongbo
Depression and its correlations with health-risk behaviors and social capital among female migrants working in entertainment venues in China
title Depression and its correlations with health-risk behaviors and social capital among female migrants working in entertainment venues in China
title_full Depression and its correlations with health-risk behaviors and social capital among female migrants working in entertainment venues in China
title_fullStr Depression and its correlations with health-risk behaviors and social capital among female migrants working in entertainment venues in China
title_full_unstemmed Depression and its correlations with health-risk behaviors and social capital among female migrants working in entertainment venues in China
title_short Depression and its correlations with health-risk behaviors and social capital among female migrants working in entertainment venues in China
title_sort depression and its correlations with health-risk behaviors and social capital among female migrants working in entertainment venues in china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5830041/
https://www.ncbi.nlm.nih.gov/pubmed/29489826
http://dx.doi.org/10.1371/journal.pone.0191632
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