LAUSR

PURPOSE To explore the prevalence of major anxiety and its associated risk factors in residents in China. METHOD This multicenter, cross-sectional study was conducted from December 2019 to February 2020; 1,343 residents from 8 hospitals in Northeast China were included in the final analysis (effective response rate of 86.48%). Demographic characteristics, dietary habits, life-related factors, work-related factors, and psychological characteristics were collected from participants via a self-reported questionnaire. This questionnaire measured sleep quality, physical activity, anxiety, perceived organizational support, psychological capital, and burnout. Adjusted odds ratios (ORs) and 95% confidence intervals were determined using binary logistic regression. Cutoff values and the area under the curve were calculated for risk factors using receiver operating characteristic curve analysis. RESULTS Of participants, 441 (32.80%) reported anxiety symptoms and 133 (9.90%) reported major anxiety symptoms. Four independent risk factors for major anxiety were identified: poor sleep quality (OR = 1.282, P < .001) and 3 dimensions of burnout: higher emotional exhaustion (OR = 1.085, P < .001), higher depersonalization (OR = 1.064, P = .002), and reduced personal accomplishment (OR = 0.951, P < .001). The optimal cutoff values for these risk factors were 7 scores, 10 scores, 9 scores, and 22 scores, respectively. CONCLUSIONS This study found a considerable prevalence of major anxiety symptoms in residents in China and identified poor sleep quality and higher levels of burnout as having a close association with major anxiety. These findings enrich the existing literature on anxiety and demonstrate a critical need for additional studies that investigate intervention strategies to improve sleep quality and combat burnout, which could improve the mental health of residents.