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Article

Depressive Symptoms among Industrial Workers in Vietnam and Correlated Factors: A Multi-Site Survey

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Institute for Preventive Medicine and Public Health, Hanoi Medical University, Hanoi 100000, Vietnam
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Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
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Center of Excellence in Evidence-based Medicine, Nguyen Tat Thanh University, Ho Chi Minh City 70000, Vietnam
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Centre for Interdisciplinary Social Research, Phenikaa University, Yen Nghia, Ha Dong, Hanoi 100803, Vietnam
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Faculty of Economics and Finance, Phenikaa University, Yen Nghia, Ha Dong, Hanoi 100803, Vietnam
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Sciences Po Paris, Campus de Dijon, 21000 Dijon, France
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A.I. for Social Data Lab (AISDL), Vuong & Associates Co., Hanoi 100000, Vietnam
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Institute for Global Health Innovations, Duy Tan University, Da Nang 550000, Vietnam
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Department of Psychological Medicine, National University Hospital, Singapore, Singapore 119074, Singapore
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Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore
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Biomedical Global Institute of Healthcare Research & Technology (BIGHEART), National University of Singapore, Singapore 119228, Singapore
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2019, 16(9), 1642; https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph16091642
Received: 25 March 2019 / Revised: 30 April 2019 / Accepted: 8 May 2019 / Published: 11 May 2019
(This article belongs to the Special Issue Adult Psychiatry)
Depressive disorders have been found to be a significant health issue among industrial workers, resulting from work-related factors and causing serious burdens for the workers as well as their employers. Literature on mental health problems of Vietnamese industrial workers has been limited, despite the rapid foreign investment-fueled industrialization process of the country. This study aimed to fill the gap in literature by examining the prevalence of depressive disorders and their potential associated factors among a cohort of Vietnamese industrial workers. A cross-sectional study was conducted in 3 industrial areas in Hanoi and Bac Ninh. A total of 289 workers agreed to participate in the study. Generalized linear mixed models were applied to identify associated factors with depression status of respondents. 38.6% of participants reported suffering depression. Factors found to be positively associated with the possibility of having depression and higher PHQ9 score were long working hours, suffering more health problems, and health hazards exposure at work. Meanwhile, being females, having more children, living with parents, engaging in smoking, and being local workers were found to correlate with lower likelihood of being depressed. The findings suggested the importance of regular health screening, work safety assurance, and social support outside of workplace on the mental health of the workers. View Full-Text
Keywords: depression; industrial workers; migrant workers; Vietnam depression; industrial workers; migrant workers; Vietnam
MDPI and ACS Style

Tran, B.X.; Vu, G.T.; Pham, K.T.H.; Vuong, Q.-H.; Ho, M.-T.; Vuong, T.-T.; Nguyen, H.-K.T.; Nguyen, C.T.; Latkin, C.A.; Ho, C.S.H.; Ho, R.C.M. Depressive Symptoms among Industrial Workers in Vietnam and Correlated Factors: A Multi-Site Survey. Int. J. Environ. Res. Public Health 2019, 16, 1642. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph16091642

AMA Style

Tran BX, Vu GT, Pham KTH, Vuong Q-H, Ho M-T, Vuong T-T, Nguyen H-KT, Nguyen CT, Latkin CA, Ho CSH, Ho RCM. Depressive Symptoms among Industrial Workers in Vietnam and Correlated Factors: A Multi-Site Survey. International Journal of Environmental Research and Public Health. 2019; 16(9):1642. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph16091642

Chicago/Turabian Style

Tran, Bach X., Giang T. Vu, Kiet T.H. Pham, Quan-Hoang Vuong, Manh-Tung Ho, Thu-Trang Vuong, Hong-Kong T. Nguyen, Cuong T. Nguyen, Carl A. Latkin, Cyrus S.H. Ho, and Roger C.M. Ho 2019. "Depressive Symptoms among Industrial Workers in Vietnam and Correlated Factors: A Multi-Site Survey" International Journal of Environmental Research and Public Health 16, no. 9: 1642. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph16091642

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