Factors Associated with Mental Health Results among Workers with Income Losses Exposed to COVID-19 in China

Xin Li, Peixin Lu, Lianting Hu, Tianhui Huang and Long Lu
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Xin Li: School of Information Management, Wuhan University, Wuhan 430072, China
Peixin Lu: School of Information Management, Wuhan University, Wuhan 430072, China
Lianting Hu: School of Information Management, Wuhan University, Wuhan 430072, China
Tianhui Huang: School of Information Management, Wuhan University, Wuhan 430072, China
Long Lu: School of Information Management, Wuhan University, Wuhan 430072, China

IJERPH, 2020, vol. 17, issue 15, 1-11

Abstract: The outbreak and worldwide spread of COVID-19 has resulted in a high prevalence of mental health problems in China and other countries. This was a cross-sectional study conducted using an online survey and face-to-face interviews to assess mental health problems and the associated factors among Chinese citizens with income losses exposed to COVID-19. The degrees of the depression, anxiety, insomnia, and distress symptoms of our participants were assessed using the Chinese versions of the Patient Health Questionnaire-9 (PHQ-9), the Generalized Anxiety Disorder-7 (GAD-7), the Insomnia Severity Index-7 (ISI-7), and the revised 7-item Impact of Event Scale (IES-7) scales, respectively, which found that the prevalence rates of depression, anxiety, insomnia, and distress caused by COVID-19 were 45.5%, 49.5%, 30.9%, and 68.1%, respectively. Multivariable logistic regression analysis was performed to identify factors associated with mental health outcomes among workers with income losses during COVID-19. Participants working in Hubei province with heavy income losses, especially pregnant women, were found to have a high risk of developing unfavorable mental health symptoms and may need psychological support or interventions.

Keywords: COVID-19; depression; anxiety; insomnia; distress; income losses (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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