Prevalence and Risk Factors for Anxiety and Depression in Patients With COVID-19 in Wuhan, China

Psychosom Med. 2021 May 1;83(4):368-372. doi: 10.1097/PSY.0000000000000934.

Abstract

Objective: Infectious diseases can cause psychological changes in patients. This study aimed to evaluate the prevalence and related risk factors for anxiety and depression in patients with COVID-19.

Methods: A cross-sectional study was performed on patients with COVID-19 admitted to the Sino-French New City branch of Wuhan Tongji Hospital from January to February 2020. The Zung Self-Rating Anxiety and Depression Scales were used to evaluate the prevalence of anxiety and depression. Demographic, clinical, and sociological data were also collected. Multivariable logistic regression analysis was used to identify independent risk factors of anxiety and depression in patients with COVID-19.

Results: In the current study, 183 patients were enrolled (mean age = 53 ± 9 years; 41.1% women). The prevalences of anxiety and depression were 56.3% and 39.3%, respectively. Logistic regression analysis revealed that older age, female sex, being divorced or widowed, COVID-19 disease duration, renal disease, and depression were identified as independent risk factors for anxiety in patients with COVID-19. Factors that were associated with depression were female sex, being widowed, COVID-19 disease duration, and anxiety.

Conclusions: This study demonstrates a high prevalence of anxiety and depression in patients with COVID-19 at the peak of the epidemic in Wuhan, China. The identification of demographic, clinical, and social factors may help identify health care professionals to provide psychological care as part of treatment for patients with COVID-19 and other life-threatening infectious diseases.

MeSH terms

  • Anxiety / epidemiology*
  • Anxiety / etiology
  • COVID-19 / complications
  • COVID-19 / psychology*
  • China / epidemiology
  • Cross-Sectional Studies
  • Depression / epidemiology*
  • Depression / etiology
  • Female
  • Humans
  • Logistic Models
  • Male
  • Middle Aged
  • Prevalence
  • Psychiatric Status Rating Scales
  • Risk Factors