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Prevalence of mental disorders in migrants compared with original residents and local residents in Ningxia, China

Overview of attention for article published in BMC Psychiatry, October 2016
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Title
Prevalence of mental disorders in migrants compared with original residents and local residents in Ningxia, China
Published in
BMC Psychiatry, October 2016
DOI 10.1186/s12888-016-1088-y
Pubmed ID
Authors

Zhizhong Wang, Liqun Wang, Jinyun Jing, Chunping Hu

Abstract

Ecological migrants has a special background compared with other types of migrant. However, the mental health status of ecological migrants who were expected to benefit from a massive "ecological migration project" initiated by the Chinese government is unknown. This study aims to explore the influence of environmental change on individuals' mental health and to improve current understanding of the mechanisms that mental disorders occurred. The data were extracted from a cross-sectional study. Anxiety disorders, mood disorders and substance use disorders were assessed using the Chinese version WHO-CIDI. The prevalence of mental disorders was stratified by migration status into ecological migrant, local resident and original resident groups. Unconditional logistic regression models were used to calculate the risk of prevalence among these three groups. After controlling for gender, ethnicity, age, marriage, and education, the migrants had lower risk of mental disorders than original residents [OR = 0.70 (95 % CI: 0.57-0.86)], p < 0.001), but had a higher risk of mental disorders than local residents [OR = 1.29 (95 % CI: 1.06-1.55)], p = 0.007). The ecological migration project may be beneficial to people's mental health by improving their living environment and social economy.

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Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 56 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 11 20%
Student > Master 8 14%
Researcher 7 13%
Student > Doctoral Student 4 7%
Student > Postgraduate 4 7%
Other 8 14%
Unknown 14 25%
Readers by discipline Count As %
Psychology 11 20%
Medicine and Dentistry 11 20%
Social Sciences 7 13%
Nursing and Health Professions 2 4%
Biochemistry, Genetics and Molecular Biology 2 4%
Other 7 13%
Unknown 16 29%