Excessive daytime sleepiness and associated factors among nursing students in China: a large-scale, multicenter, cross-sectional study.

This study aimed to investigate the prevalence of daytime sleepiness and to identify its influencing factors among nursing students. A total of 1658 nursing students from 8 schools in 5 regions of China were selected. SPSS26.0 software was used for univariate and binary Logistic analysis to identify the influencing factors of sleepiness between nursing days. 299 (18.03%) Nursing students had daytime sleepiness and Internet addiction (OR = 4.401, 95% CI 3.166 to 6.117), Drinking (OR = 1.603, 95% CI 1.093 to 2.350), Clinical practice (OR = 1.991, 95% CI 1.521 to 2.607), and Psychosomatic illness (OR = 2.970, 95% CI 1.360 to 6.486) had statistical significance (all P < 0.05). The incidence of excessive daytime sleepiness is relatively high. Internet addiction, Drinking, Clinical practice, and Psychosomatic illness are the factors that affect excessive daytime sleepiness. Therefore, early identification of high-risk groups of excessive daytime sleepiness by clinical nursing educators and clinical nursing managers can provide a reference for nursing educators to take targeted preventive measures.