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Depression and Psychological-Behavioral Responses Among the General Public in China During the Early Stages of the COVID-19 Pandemic: Survey Study
Author(s) -
Weiyu Zhang,
Xiaoting Yang,
Jinfeng Zhao,
Fengzhi Yang,
Yajing Jia,
Can Cui,
Xiaoshi Yang
Publication year - 2020
Publication title -
journal of medical internet research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.446
H-Index - 142
eISSN - 1439-4456
pISSN - 1438-8871
DOI - 10.2196/22227
Subject(s) - pandemic , public health , logistic regression , depression (economics) , patient health questionnaire , mental health , cross sectional study , feeling , multilevel model , medicine , clinical psychology , computer assisted web interviewing , psychology , multivariate analysis , environmental health , psychiatry , disease , anxiety , covid-19 , social psychology , infectious disease (medical specialty) , nursing , depressive symptoms , business , pathology , marketing , machine learning , computer science , economics , macroeconomics
Background The COVID-19 pandemic has recently spread dramatically worldwide, raising considerable concerns and resulting in detrimental effects on the psychological health of people who are vulnerable to the disease. Therefore, assessment of depression in members of the general public and their psychological and behavioral responses is essential for the maintenance of health. Objective This study aimed to assess the prevalence of depression and the associated factors among the general public during the early stages of the COVID-19 pandemic in China. Methods A cross-sectional survey with convenience sampling was conducted from February 11 to 16, 2020, in the early stages of the COVID-19 outbreak in China. A self-administrated smartphone questionnaire based on the Patient Health Questionnaire-9 (PHQ-9) and psychological and behavioral responses was distributed to the general public. Hierarchical multiple regression analysis and multivariate logistic regression analysis were conducted to explore the associated factors of depression.aA cross-sectional survey with convenience sampling was conducted from February 11 to 16, 2020, in the early stages of the COVID-19 outbreak in China. A self-administrated smartphone questionnaire based on the Patient Health Questionnaire-9 (PHQ-9) and psychological and behavioral responses was distributed to the general public. Hierarchical multiple regression analysis and multivariate logistic regression analysis were conducted to explore the associated factors of depression. Results The prevalence of depression (PHQ-9 score ≥10) among the general public during the COVID-19 pandemic was 182/1342 (13.6%). Regression analysis indicated that feeling stressed, feeling helpless, persistently being worried even with support, never feeling clean after disinfecting, scrubbing hands and items repeatedly, hoarding food, medicine, or daily supplies, and being distracted from work or study were positively associated with depression, while social support and being calm were negatively associated with depression. Conclusions The general public suffered from high levels of depression during the early stages of the COVID-19 pandemic. Thus, COVID-19–related mood management and social support should be provided to attenuate depression in the general public.

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