1. Reduced Sleep in the Week Prior to Diagnosis of COVID-19 is Associated with the Severity of COVID-19
- Author
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Huang,Baozhen, Niu,Yanlin, Zhao,Weiguo, Bao,Pengtao, Li,Diangeng, Huang,Baozhen, Niu,Yanlin, Zhao,Weiguo, Bao,Pengtao, and Li,Diangeng
- Abstract
Baozhen Huang,1 Yanlin Niu,2 Weiguo Zhao,3 Pengtao Bao,4 Diangeng Li1,5 1Nanlou Respiratory Diseases Department, 2nd Medical Center of Chinese PLA General Hospital, Beijing, People’s Republic of China; 2Beijing Center for Disease Prevention and Control, Institute for Nutrition and Food Hygiene, Beijing, People’s Republic of China; 3Department of Respiratory Medicine, The Eighth Medical Center of Chinese PLA General Hospital, Beijing, People’s Republic of China; 4Department of Pulmonary and Critical Care Medicine, The Eighth Medical Center of Chinese, Beijing, People’s Republic of China; 5Department of Nephrology, Chinese PLA General Hospital, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing, People’s Republic of ChinaCorrespondence: Diangeng LiNanlou Respiratory Diseases Department, 2nd Medical Center of Chinese PLA General Hospital, 28th Fuxing Road, Beijing 100853, People’s Republic of ChinaEmail lidiangeng@126.comPengtao BaoDepartment of Pulmonary and Critical Care Medicine, The Eighth Medical Center of Chinese PLA General Hospital, 17th Heishanhu Road, Beijing 100093, People’s Republic of ChinaEmail bao03@163.comBackground: The rapid outbreak of coronavirus disease 2019 (COVID-19) is a major health concern, in response to which widespread risk factor research is being carried out.Objective: To discover how physical activity and lifestyle affect the epidemic as well as the disease severity and prognosis of COVID-19 patients.Methods: This multicenter, retrospective cohort study included 203 adults infected with COVID-19 and 228 uninfected adults in three Chinese provinces, with 164 (80.7%) of the infected participants and 188 (82.5%) of the uninfected participants answering a doctor-administered telephone questionnaire on lifestyle. The binary logistic regression model and the ordinal logit model were used to observe relevance.Results: Compa
- Published
- 2020