IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v14y2017i1p46-d86968.html
   My bibliography  Save this article

A Mental Health Survey of Different Ethnic and Occupational Groups in Xinjiang, China

Author

Listed:
  • Ailing Fu

    (Department of Occupational Health and Environmental Health, College of Public Health, Xinjiang Medical University, Urumqi 830011, China
    These authors contributed equally to this work.)

  • Bo Liu

    (Department of Occupational Health and Environmental Health, College of Public Health, Xinjiang Medical University, Urumqi 830011, China
    The First Affiliated Hospital of Xinjiang Medical University, Urumqi 830011, China
    These authors contributed equally to this work.)

  • Yu Jiang

    (Department of Occupational Health and Environmental Health, College of Public Health, Xinjiang Medical University, Urumqi 830011, China)

  • Junling Zhao

    (Department of Occupational Health and Environmental Health, College of Public Health, Xinjiang Medical University, Urumqi 830011, China)

  • Guanghui Zhang

    (Department of Occupational Health and Environmental Health, College of Public Health, Xinjiang Medical University, Urumqi 830011, China)

  • Jiwen Liu

    (Department of Occupational Health and Environmental Health, College of Public Health, Xinjiang Medical University, Urumqi 830011, China)

Abstract

Poor mental health has become a serious social and public health-care burden. This cross-sectional study used multistage stratified cluster random sampling to gather mental health information from 11,891 adults (18–60 years) employed in various occupations categorized according to the Chinese Standard Occupational Classification. Mental health was measured by the General Health Questionnaire, and participants exceeding the cut-off score were defined as having poor mental health. The overall prevalence of poor mental health was 23.8%. The prevalence of poor mental health was significantly higher in the Han ethnic group than Kazak ethnic group and in health-care workers, teachers, and civil servants compared to manual workers. Females (odds ratios (OR) = 1.139, 95% confidence intervals (CI): 1.012–3.198) and knowledge workers (1.697, 1.097–2.962) were risk factors for poor mental health, while Kazak ethnicity (0.465, 0.466–0.937), other minority status (non-Han) (0.806, 0.205–0.987), and working ≥15 years in the same occupation (0.832, 0.532–0.932) were protective ( p < 0.05). We concluded that the general level of mental health in Xinjiang, China, is higher in the Kazak ethnic group than the Han ethnic group. The prevalence of poor mental health is higher among knowledge workers than in manual workers due to high incidences of poor mental health in civil servants, health-care workers, and teachers.

Suggested Citation

  • Ailing Fu & Bo Liu & Yu Jiang & Junling Zhao & Guanghui Zhang & Jiwen Liu, 2017. "A Mental Health Survey of Different Ethnic and Occupational Groups in Xinjiang, China," IJERPH, MDPI, vol. 14(1), pages 1-11, January.
    • Handle: RePEc:gam:jijerp:v:14:y:2017:i:1:p:46-:d:86968
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/14/1/46/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/14/1/46/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Suzhen Guan & Xiadiya Xiaerfuding & Li Ning & Yulong Lian & Yu Jiang & Jiwen Liu & Tzi Bun Ng, 2017. "Effect of Job Strain on Job Burnout, Mental Fatigue and Chronic Diseases among Civil Servants in the Xinjiang Uygur Autonomous Region of China," IJERPH, MDPI, vol. 14(8), pages 1-15, August.
    2. Sarah Susanne Lütke Lanfer & Ruth Pfeifer & Claas Lahmann & Alexander Wünsch, 2022. "How to Measure the Mental Health of Teachers? Psychometric Properties of the GHQ-12 in a Large Sample of German Teachers," IJERPH, MDPI, vol. 19(15), pages 1-17, August.

    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:gam:jijerp:v:14:y:2017:i:1:p:46-:d:86968. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.