Back to Search
Start Over
Mental Health Disorders and Associated Risk Factors in Quarantined Adults During the COVID-19 Outbreak in China: Cross-Sectional Study
- Source :
- Journal of Medical Internet Research, Vol 22, Iss 8, p e20328 (2020), Journal of Medical Internet Research
- Publication Year :
- 2020
- Publisher :
- JMIR Publications Inc., 2020.
-
Abstract
- Background People 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. Objective This 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. Methods Participants 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. Results Out 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 8 hours of sedentary time per day, and worsened sleep quality. Conclusions The findings highlight an urgent need for psychological support for populations at high risk for elevated anxiety or depressive symptoms during the COVID-19 pandemic.
- Subjects :
- Adult
Male
China
medicine.medical_specialty
Adolescent
Cross-sectional study
Pneumonia, Viral
Health Informatics
Disease
Anxiety
lcsh:Computer applications to medicine. Medical informatics
Logistic regression
Disease Outbreaks
Young Adult
03 medical and health sciences
0302 clinical medicine
Risk Factors
Pandemic
Humans
Medicine
030212 general & internal medicine
Young adult
Psychiatry
Pandemics
Original Paper
Depression
business.industry
lcsh:Public aspects of medicine
risk and protective factors
quarantine
COVID-19
anxiety or depressive symptoms
lcsh:RA1-1270
Middle Aged
Health Surveys
Mental health
Cross-Sectional Studies
Mental Health
lcsh:R858-859.7
Female
medicine.symptom
Coronavirus Infections
business
Psychosocial
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 14388871
- Volume :
- 22
- Database :
- OpenAIRE
- Journal :
- Journal of Medical Internet Research
- Accession number :
- edsair.doi.dedup.....2fedc861fd3f2d8f6f0e005d89c62eb3
- Full Text :
- https://doi.org/10.2196/20328