A Nomogram-Based Study: A Way Forward to Predict the Anxiety Status in Medical Staff During the COVID-19 Pandemic

Zhihui Liu,1,* Nazeer Hussain Khan,2,3,* Lintao Wang,4 Chun-Yang Zhang,5,6 Xin-Ying Ji2,7,8 1Department of General Practice, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, Zhengzhou, People’s Republic of China; 2Henan International Joint Laboratory for Nuclear Protein Regulation, School of Basic Medical Sciences, Henan University, Kaifeng, People’s Republic of China; 3Section of Basic Medical Subjects, Shu-Qing Medical College of Zhengzhou, Zhengzhou, People’s Republic of China; 4The First Affiliated Hospital of Henan University, Kaifeng, People’s Republic of China; 5Department of Thoracic Surgery, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, People’s Republic of China; 6Department of General Thoracic Surgery, Hami Central Hospital, Hami, People’s Republic of China; 7Kaifeng Key Laboratory for Infectious Diseases and Biosafety, Kaifeng, People’s Republic of China; 8Faculty of Basic Medical Subjects, Shu-Qing Medical College of Zhengzhou, Zhengzhou, People’s Republic of China*These authors contributed equally to this workCorrespondence: Chun-Yang Zhang; Xin-Ying Ji, Email zcy198200@163.com; 10190096@vip.henu.edu.cnBackground and Objective: Anxiety influences job burnout and health. This study aimed to establish a nomogram to predict the anxiety status of medical staff during the coronavirus disease (COVID-19) pandemic.Methods: A total of 600 medical members were randomized 7:3 and divided into training and validation sets. The data was collected using a questionnaire. Logistic regression analysis and Akaike information criterion (AIC) were applied to investigate the risk factors for anxiety. Odds ratio (OR) and 95% confidence interval (95% CI) were calculated to establish a nomogram.Results: Participation time (OR=44.28, 95% CI=13.13~149.32), rest time (OR=38.50, 95% CI=10.43~142.19), epidemic prevention area (OR=10.16, 95% CI=3.51~29.40), epidemic prevention equipment (O