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Self-reported symptoms of depression among Chinese rural-to-urban migrants and left-behind family members

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  • Nikoloski, Zlatko
  • Zhang, Anwen
  • Hopkin, Gareth
  • Mossialos, Elias

Abstract

Importance: There were an estimated 247 million rural-to-urban migrant workers in China in 2016, yet at a national level, there is scant evidence on the association of migration with mental health among migrants and their left-behind family members. Objective: To examine the association of rural-to-urban migration with symptoms of depression among migrants and left-behind family members aged 45 years and older. Design, Setting, and Participants: Using representative cross-sectional data of 14 332 middle-aged and older adults from the 2015 China Health and Retirement Longitudinal Survey, regression analyses were conducted to examine the association of depressive symptoms with rural-to-urban migration status in urban areas and the association of depressive symptoms with left-behind status in rural areas. The statistical analysis was performed from January to August 2018. Exposures: Migration status (defined as having a rural hukou [household registration record]) in urban areas and left-behind status (defined as having a spouse or child living in another area) in rural areas. Main Outcomes and Measures: Depressive symptoms measured on the 10-item Center for Epidemiological Studies Depression (CES-D-10) scale. Results: A total of 14 332 middle-aged and elderly participants (mean [SD] age, 59.84 [9.51] years; 7394 [51.6%] women) were included, of whom 4404 (30.7%) lived in urban areas and 9928 (69.3%) lived in rural areas. In urban areas, 1607 participants (36.2%) were rural-to-urban migrants, and the remaining 2797 participants (72.8%) were local residents. In rural areas, 3405 participants (34.3%) were left-behind family members, and the remaining 6523 participants (65.7%) were not. Compared with urban residents, rural-to-urban migrants had higher CES-D-10 scores after adjustment for covariates (β = 0.74; 95% CI, 0.08-1.40; P = .03; standard errors clustered at the household level henceforth). Compared with intact-family rural residents, left-behind spouses had higher CES-D-10 scores after adjustment for covariates (β = 0.54; 95% CI, 0.05-1.03; P = .03). Conclusions and Relevance: Rural-to-urban migration in China was associated with poor mental health for migrants and their left-behind spouses. Short-term policies, such as building community social facilities, may prove effective, but long-term solutions should address issues related to economic and social exclusions and the lack of a social security system in rural China.

Suggested Citation

  • Nikoloski, Zlatko & Zhang, Anwen & Hopkin, Gareth & Mossialos, Elias, 2019. "Self-reported symptoms of depression among Chinese rural-to-urban migrants and left-behind family members," LSE Research Online Documents on Economics 100854, London School of Economics and Political Science, LSE Library.
  • Handle: RePEc:ehl:lserod:100854
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    File URL: http://eprints.lse.ac.uk/100854/
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    References listed on IDEAS

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    1. Zhen Zhang & Jianxin Zhang, 2015. "Social Participation and Subjective Well-Being Among Retirees in China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 123(1), pages 143-160, August.
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    Cited by:

    1. Toan Ha & Hui Shi & Tom Wen-Han Su & Roman Shrestha & Sara Baumann & Trang Nguyen & Nam Nguyen & Le Minh Giang & Stephen L Schensul, 2023. "The mediation effects of sexual self-efficacy in the relationship between psychosocial wellbeing and depressive symptoms among female migrant workers in Vietnam," International Journal of Social Psychiatry, , vol. 69(8), pages 2068-2078, December.
    2. Ye Chen & Xinxin Yu & Aini Azeqa Ma’rof & Zeinab Zaremohzzabieh & Haslinda Abdullah & Hanina Halimatusaadiah Hamsan & Lyuci Zhang, 2022. "Social Identity, Core Self-Evaluation, School Adaptation, and Mental Health Problems in Migrant Children in China: A Chain Mediation Model," IJERPH, MDPI, vol. 19(24), pages 1-11, December.

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    More about this item

    JEL classification:

    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns
    • J01 - Labor and Demographic Economics - - General - - - Labor Economics: General

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