A Study on Daytime Sleepiness, Insomnia, and the Quality of Sleep in Clinical Nurses / 한국직업건강간호학회지

PURPOSE@#The purposes of this study were to investigate sleep quality and the related factors among clinical nurses.@*METHODS@#Data were collected from 208 nurses in general hospitals through self-report. Pittsburgh Sleep Quality Index (PSQI), Korean Epworth Sleepiness Scale (KESS), Insomnia Severity Index (ISS) were used. The data were analyzed t-test, ANOVA, Scheffé test, and multiple regression using the SPSS 20.0 program.@*RESULTS@#The mean scores of the subjects were 7.58±3.61 on daytime sleepiness, 9.93±6.22 on insomnia, and 7.29±3.05 on sleep quality. The sleep quality in clinical nurses significantly influenced by insomnia (β=.55, t=8.14, p < .001), daytime sleepiness (β=.16, t=2.83, p=.005), and work satisfaction (β=−.15, t=−2.35, p=.020). The three variables explained 55.9% of variance of sleep quality (F=10.73, p < .001).@*CONCLUSION@#Sleep quality was influenced by daytime sleepiness, insomnia, and job satisfaction. To improve sleep quality, hospitals managers or leaders need to provide sleep promotion programs for preventing daytime sleepiness and insomnia.

A Study on Daytime Sleepiness, Insomnia, and the Quality of Sleep in Clinical Nurses / 산업간호학회지

PURPOSE: The purposes of this study were to investigate sleep quality and the related factors among clinical nurses. METHODS: Data were collected from 208 nurses in general hospitals through self-report. Pittsburgh Sleep Quality Index (PSQI), Korean Epworth Sleepiness Scale (KESS), Insomnia Severity Index (ISS) were used. The data were analyzed t-test, ANOVA, Scheffé test, and multiple regression using the SPSS 20.0 program. RESULTS: The mean scores of the subjects were 7.58±3.61 on daytime sleepiness, 9.93±6.22 on insomnia, and 7.29±3.05 on sleep quality. The sleep quality in clinical nurses significantly influenced by insomnia (β=.55, t=8.14, p < .001), daytime sleepiness (β=.16, t=2.83, p=.005), and work satisfaction (β=−.15, t=−2.35, p=.020). The three variables explained 55.9% of variance of sleep quality (F=10.73, p < .001). CONCLUSION: Sleep quality was influenced by daytime sleepiness, insomnia, and job satisfaction. To improve sleep quality, hospitals managers or leaders need to provide sleep promotion programs for preventing daytime sleepiness and insomnia.