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[A survey of sleep quality of employed nurses in military hospitals]
1Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China.
Abstract:
Objective: To investigate the sleep quality of the employed nurses in three grade A tertiary military hospitals in Beijing, China and its influential factors and to provide a reference for improving the sleep quality of employed nurses. Methods: From January 2014 to January 2017, a questionnaire survey was carried out to investigate the sleep quality of 253 employed nurses in three grade A tertiary military hospitals in Beijing, China using the Pittsburgh Sleep Quality Index (PSQI) and a general status questionnaire. The results were compared with the adult norms to analyze the influential factors for sleep quality of the employed nurses. Results: The global PSQI score of the 253 employed nurses was 7.76 ± 3.53. Their global PSQI score and PSQI component scores were significantly higher than the adults norms (P<0.05) . And 54.94% of the employed nurses had poor sleep quality; they had high scores of daytime dysfunction (1.39±0.83) , sleep latency (1.67±0.94) , sleep quality (1.33±0.88) , and sleep time (1.23±0.78) . The one-way analysis of variance showed that the sleep quality of the employed nurses was associated with nursing age, educational background, professional title, whether to have children, frequency of night shifts, and department (P<0.05) . The multivariate logistic regression analysis showed that the risk factors for sleep quality of the employed nurses were technical secondary school education (OR=4.292) and emergency department and intensive care unit (OR=2.582) ; the protective factors for sleep quality of the employed nurses were outpatient department and assistant department (OR=0.312) , no children (OR=0.318) , and no night shift (OR=0.332) . Conclusion: The employed nurses in military hospitals have poorer sleep quality than the normal adults. The influential factors for sleep quality of employed nurses are educational background, department, whether to have children, and frequency of night shifts.
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