Tao Li1, Siwei Sun, Bao Liu, Jing Wang, Yalan Zhang, Cheng Gong, Jun Duan. 1. From the Surgery Intensive Care Unit (Li, Liu, Wang, Zhang, Gong, Duan) China-Japan Friendship Hospital; and Peking University Institute of Mental Health (Sun), National Clinical Research Center for Mental Disorders, Beijing, China.
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.
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.
Authors: Els Nadort; Nadine Rijkers; Robbert W Schouten; Ellen K Hoogeveen; Willem J W Bos; Louis Jean Vleming; Michiel Westerman; Marcel Schouten; Marijke J E Dekker; Yves F C Smets; Prataap Chandie Shaw; Karima Farhat; Friedo W Dekker; Patricia van Oppen; Carl E H Siegert; Birit F P Broekman Journal: J Psychosom Res Date: 2022-04-14 Impact factor: 4.620
Authors: Keitaro Murayama; Hideharu Tatebayashi; Takako Kawaguchi; Kousuke Fujita; Kenta Sashikata; Tomohiro Nakao Journal: Int J Environ Res Public Health Date: 2022-07-26 Impact factor: 4.614
Authors: David Villarreal-Zegarra; Rubí Paredes-Angeles; Nikol Mayo-Puchoc; Ana L Vilela-Estada; Anthony Copez-Lonzoy; Jeff Huarcaya-Victoria Journal: BMC Psychiatry Date: 2022-10-10 Impact factor: 4.144