ABSTRACT
INTRODUCTION: High risk of mental health problems is associated with Coronavirus Disease 2019 (COVID-19). This study explored the prevalence of depressive symptoms (depression hereafter) and its relationship with quality of life (QOL) in clinically stable patients with COVID-19. METHODS: This was an online survey conducted in COVID-19 patients across five designated isolation hospitals for COVID-19 in Hubei province, China. Depression and QOL were assessed with standardized instruments. RESULTS: A total of 770 participants were included. The prevalence of depression was 43.1% (95%CI: 39.6%-46.6%). Binary logistic regression analysis found that having a family member infected with COVID-19 (OR=1.51, Pâ¯=â¯0.01), suffering from severe COVID-19 infection (OR=1.67, Pâ¯=â¯0.03), male gender (OR=0.53, P<0.01), and frequent social media use to obtain COVID-19 related information (OR=0.65, P<0.01) were independently associated with depression. Patients with depression had lower QOL than those without. CONCLUSION: Depression is highly prevalent in clinically stable patients with COVID-19. Regular screening and appropriate treatment of depression are urgently warranted for this population.
Subject(s)
Coronavirus Infections/epidemiology , Coronavirus Infections/psychology , Pneumonia, Viral/epidemiology , Pneumonia, Viral/psychology , Quality of Life/psychology , Adult , Anxiety/epidemiology , COVID-19 , China/epidemiology , Depression/epidemiology , Female , Humans , Male , Mental Health , Middle Aged , Pandemics , Prevalence , Surveys and QuestionnairesABSTRACT
PURPOSE: To examine insomnia disorder and its association with sociodemographic factors and poor mental health in 2019 novel coronavirus (COVID-19) inpatients in Wuhan, China. DESIGN: and Methods: A total of 484 COVID-19 inpatients in Wuhan Tongji Hospital were selected and interviewed with standardized assessment tools. Insomnia disorder was measured by the Chinese version of the Insomnia Severity Index (ISI-7), a total score of 8 or more was accepted as the threshold for diagnosing insomnia disorder. RESULTS: The prevalence of insomnia disorder in the whole sample was 42.8%. Binary logistic regression analysis revealed that female gender, younger age, and higher fatigue and anxiety severity were more likely to experience insomnia disorder. CONCLUSION: Given the high rate of insomnia disorder status among COVID-19 inpatients in Wuhan, China, and its negative effects, follow-up assessments and appropriate psychological interventions for insomnia disorder are needed in this population.