The relationship between sleep quality and psychological distress and job burnout among Chinese psychiatric nurses
Bin Wang, Qinghua Lu, Feifei Sun, Rui Zhang
Abstract
This cross-sectional study aimed to investigate the sleep quality of psychiatric nurses in China and explore the risk factors affecting it. This study used the stratified random sampling method. The general data questionnaire was conducted using the 10-item Kessler Psychological Distress Scale (K10), the Maslach Burnout Inventory (MBI), and the Pittsburgh Sleep Quality Index (PSQI) were used to investigate the prevalence and risk factors of sleep quality among 812 psychiatric nurses in China. There were statistically significant differences in sleep quality among different shift frequency. Surveys demonstrated that sleep quality among psychiatric nurses was positively correlated with psychological distress and job burnout. Multiple logistics regression analysis showed that high psychological distress (odds ratio, OR=0.907, p<0.001, 95% confidence interval, CI=0.885-0.931), high emotional exhaustion (OR=0.946, p<0.001, 95% CI=0.921-0.972), low depersonalization (OR=1.061, p=0.004, 95% CI=1.019-1.104), and low personal accomplishment (OR=0.972, p=0.018, 95% CI=0.949-0.995) were the contributing factors of sleep quality. Future studies should investigate effective measures to relieve psychological distress and alleviate burnout, particularly for psychiatric nurses with poor sleep quality.