• J. Med. Internet Res. · Aug 2020

    Mental Health Disorders and Associated Risk Factors in Quarantined Adults During the COVID-19 Outbreak in China: Cross-Sectional Study.

    • Yan Guo, Chao Cheng, Yu Zeng, Yiran Li, Mengting Zhu, Weixiong Yang, He Xu, Xiaohua Li, Jinhang Leng, Aliza Monroe-Wise, and Shaomin Wu.
    • Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.
    • J. Med. Internet Res. 2020 Aug 6; 22 (8): e20328.

    BackgroundPeople undergoing mass home- and community-based quarantine are vulnerable to mental health disorders during outbreaks of coronavirus disease (COVID-19), but few studies have evaluated the associated psychosocial factors.ObjectiveThis study aimed to estimate the prevalence of anxiety and depressive symptoms and identify associated demographic and psychosocial factors in the general Chinese population during the COVID-19 pandemic quarantine period.MethodsParticipants aged 18 years or above were recruited in a cross-sectional online survey using snowball sampling from February 26-29, 2020. The survey included questions on demographics, family relationships, chronic diseases, quarantine conditions, lifestyle, COVID-19 infection, and anxiety and depressive symptoms. Logistic regression analyses were conducted to identify factors associated with elevated anxiety or depressive symptoms.ResultsOut of 2331 participants, 762 (32.7%) experienced elevated anxiety or depressive symptoms. Nine risk factors associated with anxiety or depressive symptoms included younger age, reduced income, having cancer or other chronic diseases, having family members living with cancer, concerns related to COVID-19 infection for themselves or family members, living alone, having family conflicts, having <3 or >8 hours of sedentary time per day, and worsened sleep quality.ConclusionsThe findings highlight an urgent need for psychological support for populations at high risk for elevated anxiety or depressive symptoms during the COVID-19 pandemic.©Yan Guo, Chao Cheng, Yu Zeng, Yiran Li, Mengting Zhu, Weixiong Yang, He Xu, Xiaohua Li, Jinhang Leng, Aliza Monroe-Wise, Shaomin Wu. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 06.08.2020.

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