IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0272199.html
   My bibliography  Save this article

Depressive symptoms and socioeconomic status among the labor force: Evidence from China’s representative sample

Author

Listed:
  • Guoying Zhang
  • Chang Cai
  • Wenxin Zou
  • Lu Jing
  • Shaolong Wu

Abstract

Objectives: The purpose of this paper is to describe the prevalence of depressive symptoms in the Chinese labor force; to explore the relationship between depressive symptoms and socioeconomic status among the Chinese labor force, including both the structural determinants and the intermediary determinants of health inequities; and to identify vulnerable populations who would benefit from intervention measures. Methods: Data were from the China Labor-Force Dynamics Survey (CLDS) 2016. The Center for Epidemiologic Studies Depression Scale (CES-D) was used to assess depressive symptoms. The World Health Organization’s theoretical framework of the social determinants of health was adopted to analyze the relationship between social determinants and depressive symptoms. Results: Of the participants in the research from the Chinese labor force, 17.34% were identified as having depressive symptoms. Depression was significantly related to socioeconomic factors such as hukou status (p

Suggested Citation

  • Guoying Zhang & Chang Cai & Wenxin Zou & Lu Jing & Shaolong Wu, 2022. "Depressive symptoms and socioeconomic status among the labor force: Evidence from China’s representative sample," PLOS ONE, Public Library of Science, vol. 17(8), pages 1-17, August.
  • Handle: RePEc:plo:pone00:0272199
    DOI: 10.1371/journal.pone.0272199
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0272199
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0272199&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0272199?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Frederick J. Zimmerman & Wayne Katon, 2005. "Socioeconomic status, depression disparities, and financial strain: what lies behind the income‐depression relationship?," Health Economics, John Wiley & Sons, Ltd., vol. 14(12), pages 1197-1215, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Natalia Melgar & Máximo Rossi, 2012. "A Cross‐Country Analysis of the Risk Factors for Depression at the Micro and Macro Levels," American Journal of Economics and Sociology, Wiley Blackwell, vol. 71(2), pages 354-376, April.
    2. Menta, Giorgia & Lepinteur, Anthony & Clark, Andrew E. & Ghislandi, Simone & D'Ambrosio, Conchita, 2023. "Maternal genetic risk for depression and child human capital," Journal of Health Economics, Elsevier, vol. 87(C).
    3. Jun Zhang & Yuang He & Jing Zhang, 2022. "Energy Poverty and Depression in Rural China: Evidence from the Quantile Regression Approach," IJERPH, MDPI, vol. 19(2), pages 1-21, January.
    4. Yanhong Gong & Xiulan Zhang & Hong Zou & Donghua Tian & Zhiyong Qu & Weijun Zhang & Yongqiang Chu, 2014. "Debt and depression among the Dibao population in northwestern China," International Journal of Social Psychiatry, , vol. 60(7), pages 637-645, November.
    5. Wicke, Felix S. & Schmidt, Peter & Petersen, Julia & Ernst, Mareike & Krakau, Lina & Brähler, Elmar & Tibubos, Ana N. & Otten, Danielle & Reiner, Iris & Michal, Matthias & Schulz, Andreas & Münzel, Th, 2022. "Depression predicts equivalized income five years later, but not vice versa: Results from the prospective Gutenberg Health Study," Social Science & Medicine, Elsevier, vol. 313(C).
    6. Hania Wu & Tony Tam, 2015. "Economic Development and Socioeconomic Inequality of Well-Being: A Cross-Sectional Time-Series Analysis of Urban China, 2003–2011," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 124(2), pages 401-425, November.
    7. Chee‐Ruey Hsieh & Xuezheng Qin, 2018. "Depression hurts, depression costs: The medical spending attributable to depression and depressive symptoms in China," Health Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 525-544, March.
    8. Min Ji Kim & Namwoo Kim & Daun Shin & Sang Jin Rhee & C Hyung Keun Park & Hyeyoung Kim & Sung Joon Cho & Jae Won Lee & Eun Young Kim & Boram Yang & Yong Min Ahn, 2019. "The epidemiology of antidepressant use in South Korea: Does short-term antidepressant use affect the relapse and recurrence of depressive episodes?," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-14, September.
    9. Koomson, Isaac & Orkoh, Emmanuel & Ahmad, Shabbir, 2023. "Non-farm entrepreneurship, caste, and energy poverty in rural India," Energy Economics, Elsevier, vol. 127(PA).
    10. Kirsten Rasmussen & Elizabeth K. Sigler & Sadie A. Slighting & Jonathan A. Jarvis & Mikaela J. Dufur & Shana Pribesh, 2022. "Family Structure and Maternal Depressive Symptoms: A Cross-National Comparison of Australia, the United Kingdom, and the United States," Social Sciences, MDPI, vol. 11(2), pages 1-21, February.
    11. Ahnquist, Johanna & Wamala, Sarah P. & Lindstrom, Martin, 2012. "Social determinants of health – A question of social or economic capital? Interaction effects of socioeconomic factors on health outcomes," Social Science & Medicine, Elsevier, vol. 74(6), pages 930-939.
    12. Di Novi, Cinzia & Leporatti, Lucia & Montefiori, Marcello, 2021. "The role of education in psychological response to adverse health shocks," Health Policy, Elsevier, vol. 125(5), pages 643-650.
    13. Kim, Dong Ha & Um, Myung-Yong, 2018. "The relationships among family income, parental depression, and adolescent aggression in South Korea: A latent growth mediation model," Children and Youth Services Review, Elsevier, vol. 84(C), pages 168-175.
    14. Jens Hoebel & Ulrike E Maske & Hajo Zeeb & Thomas Lampert, 2017. "Social Inequalities and Depressive Symptoms in Adults: The Role of Objective and Subjective Socioeconomic Status," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-18, January.
    15. Manuel, Jennifer I. & Martinson, Melissa L. & Bledsoe-Mansori, Sarah E. & Bellamy, Jennifer L., 2012. "The influence of stress and social support on depressive symptoms in mothers with young children," Social Science & Medicine, Elsevier, vol. 75(11), pages 2013-2020.
    16. Vicki L. Bogan & Angela R. Fertig, 2013. "Portfolio Choice and Mental Health," Review of Finance, European Finance Association, vol. 17(3), pages 955-992.
    17. Öztürk, Gamze & Yetkiner, Hakan & Özden, Elif, 2020. "Macroeconomic determinants of antidepressant use," Journal of Policy Modeling, Elsevier, vol. 42(6), pages 1394-1407.
    18. Andrew E. Clark & Conchita D'Ambrosio & Simone Ghislandi & Anthony Lepinteur & Giorgia Menta, 2021. "Maternal depression and child human capital: a genetic instrumental-variable approach," CEP Discussion Papers dp1749, Centre for Economic Performance, LSE.
    19. Johanna Catherine Maclean & Douglas A. Webber & Michael T. French & Susan L. Ettner, 2015. "The Health Consequences of Adverse Labor Market Events: Evidence from Panel Data," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 54(3), pages 478-498, July.
    20. Thi Thao Nguyen & Kim Huong Nguyen & Nicholas Rohde, 2024. "Economic Disparities, Life Events, and the Gender Mental Health Gap," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 174(3), pages 1053-1100, September.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0272199. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.