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      Common mental health problems in rural-to-urban migrant workers in Shenzhen, China: prevalence and risk factors

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          Abstract

          Aims.

          Rural-to-urban migrant workers are a large marginalised population in urban China. Prevalence estimates of common mental health problems (CMHPs) in previous studies varied widely and very few studies have investigated migration-related factors of CMHPs in migrant workers. The objective of this study was to determine the prevalence and risk factors of CMHPs among Chinese migrant workers.

          Methods.

          A random sample of 3031 migrant workers of ten manufacturing factories in Shenzhen, China, completed a standardised questionnaire containing socio-demographic and migration-related variables and the Chinese 12-item General Health Questionnaire (GHQ-12). A GHQ-12 score of three or higher was used to denote the presence of CMHPs.

          Results.

          The prevalence of CMHPs was 34.4% in Chinese migrant workers. In multiple logistic regression, risk factors for CMHPs included being 16–25 years old (odd ratio [OR] 1.65, 95% confidence interval [CI] 1.28, 2.12), being 26–35 years old (OR 1.36, 95% CI: 1.05, 1.75), low monthly income (OR 1.42, 95% CI 1.04, 1.92), poor living condition (OR: 1.76, 95% CI: 1.22, 2.54), physical illness in the past 2 weeks (OR 1.72, 95% CI 1.43, 2.05), having worked in many cities (OR 1.34, 95% CI 1.03, 1.74), infrequently visiting hometown (OR 1.56, 95% CI 1.22, 1.99), poor Mandarin proficiency (OR 1.51, 95%CI 1.13, 2.01), a low level of perceived benefits of migration (OR 1.33, 95% CI 1.14, 1.55) and working more than 8 h/day (OR 1.39, 95% CI 1.14, 1.70).

          Conclusions.

          CMHPs are very prevalent among Chinese migrant workers. Given the large number of Chinese migrant workers, there is an urgent need to address the mental health burden of China's migrant worker population.

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          Most cited references38

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          Visualization of an Oxygen-deficient Bottom Water Circulation in Osaka Bay, Japan

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            Urbanisation and health in China

            Summary China has seen the largest human migration in history, and the country's rapid urbanisation has important consequences for public health. A provincial analysis of its urbanisation trends shows shifting and accelerating rural-to-urban migration across the country and accompanying rapid increases in city size and population. The growing disease burden in urban areas attributable to nutrition and lifestyle choices is a major public health challenge, as are troubling disparities in health-care access, vaccination coverage, and accidents and injuries in China's rural-to-urban migrant population. Urban environmental quality, including air and water pollution, contributes to disease both in urban and in rural areas, and traffic-related accidents pose a major public health threat as the country becomes increasingly motorised. To address the health challenges and maximise the benefits that accompany this rapid urbanisation, innovative health policies focused on the needs of migrants and research that could close knowledge gaps on urban population exposures are needed.
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              Poverty and common mental disorders in low and middle income countries: A systematic review.

              In spite of high levels of poverty in low and middle income countries (LMIC), and the high burden posed by common mental disorders (CMD), it is only in the last two decades that research has emerged that empirically addresses the relationship between poverty and CMD in these countries. We conducted a systematic review of the epidemiological literature in LMIC, with the aim of examining this relationship. Of 115 studies that were reviewed, most reported positive associations between a range of poverty indicators and CMD. In community-based studies, 73% and 79% of studies reported positive associations between a variety of poverty measures and CMD, 19% and 15% reported null associations and 8% and 6% reported negative associations, using bivariate and multivariate analyses respectively. However, closer examination of specific poverty dimensions revealed a complex picture, in which there was substantial variation between these dimensions. While variables such as education, food insecurity, housing, social class, socio-economic status and financial stress exhibit a relatively consistent and strong association with CMD, others such as income, employment and particularly consumption are more equivocal. There are several measurement and population factors that may explain variation in the strength of the relationship between poverty and CMD. By presenting a systematic review of the literature, this paper attempts to shift the debate from questions about whether poverty is associated with CMD in LMIC, to questions about which particular dimensions of poverty carry the strongest (or weakest) association. The relatively consistent association between CMD and a variety of poverty dimensions in LMIC serves to strengthen the case for the inclusion of mental health on the agenda of development agencies and in international targets such as the millenium development goals. Copyright 2010 Elsevier Ltd. All rights reserved.
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                Author and article information

                Journal
                Epidemiol Psychiatr Sci
                Epidemiol Psychiatr Sci
                EPS
                Epidemiology and Psychiatric Sciences
                Cambridge University Press (Cambridge, UK )
                2045-7960
                2045-7979
                June 2018
                09 January 2017
                : 27
                : 3
                : 256-265
                Affiliations
                [1 ] Department of Psychiatry, The Chinese University of Hong Kong , Hong Kong SAR, People's Republic of China
                [2 ] Affiliated Mental Health Center, Tongji Medical College of Huazhong University of Science & Technology , Wuhan, Hubei, People's Republic of China
                [3 ] Shenzhen Key Laboratory for Psychological Healthcare, Shenzhen Institute of Mental Health, Shenzhen Kangning Hospital, Shenzhen Mental Health Center , Shenzhen, People's Republic of China
                Author notes
                [* ]Address for correspondence: H. F. K. Chiu, Department of Psychiatry, The Chinese University of Hong Kong , Ground Floor, Multicentre, Tai Po Hospital, Tai Po, N.T., Hong Kong SAR, People's Republic of China. (Email: helenchiu@ 123456cuhk.edu.hk )
                Article
                PMC6998856 PMC6998856 6998856 S2045796016001141 00114
                10.1017/S2045796016001141
                6998856
                28067189
                86e9f56e-6c4b-4c85-93a5-805e2f6777be
                © Cambridge University Press 2017
                History
                : 17 October 2016
                : 07 December 2016
                Page count
                Tables: 2, References: 61, Pages: 10
                Categories
                Original Articles

                rural-to-urban migrant worker,epidemiology,common mental health problem,China

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