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<p>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 <i>P</i> &lt; 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.</p>

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

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年11月18日

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  • Lingyu Hou,
  • Guangli Qin,
  • Chengyuan He,
  • Xuan Zhang,
  • Shuyuan Ouyang,
  • Linlin Lu

摘要

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.