Ma Zijuan, Wang Dongfang, Yu Zhijun, Zhang Xiangting, Wu Wenxuan, Zhao Shaochen, Li Yang, Li Yuanyuan, Fan Yunge, Fan Fang
Center for Studies of Psychological Application, School of Psychology, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China.
Research Center for Guangdong-HongKong-Marcao Policing Model Innovation, China People's Police University, Guangzhou, China.
J Sleep Res. 2025 Aug;34(4):e14405. doi: 10.1111/jsr.14405. Epub 2024 Dec 9.
There is a growing consensus regarding the significant individual differences in responses to sleep inertia. However, little is known about the longitudinal trajectories of sleep inertia. Therefore, we aimed to investigate the incidence rates of sleep inertia, longitudinal trajectories, influencing factors and outcomes among intern nurses with shift work. A total of 1079 intern nurses with shift work completed online surveys at 2 weeks (T1) and 16 weeks (T2) after their clinical internship, respectively. The demographics and willingness to continue working as nurses, circadian type, sleep problems and emotional problems were measured. Hierarchical logistic regressions were used to examine predictors for the distinct longitudinal trajectory of sleep inertia, and binary logistic regressions were used to examine the predictive effects of trajectory memberships of sleep inertia on mental health problems (daytime sleepiness, anxiety, depression) at follow-up. Overall, the incidence rates of severe sleep inertia increased significantly from 20.4% at T1 to 25.3% at T2 among intern nurses with shift work. All participants were classified into four trajectory memberships. Multiple factors were significant predictors of distinct trajectories of sleep inertia. Additionally, individuals with deteriorated and persistent-high sleep inertia were more likely to develop mental health problems at the subsequent point. Sleep inertia is prevalent among intern nurses with shift work, and its distinct change patterns were associated with multiple risk factors and various adverse outcomes. Therefore, these factors should be considered when designing individualized and appropriate interventions for sleep inertia among medical staff.
关于睡眠惯性反应中的显著个体差异，人们的共识越来越多。然而，关于睡眠惯性的纵向轨迹却知之甚少。因此，我们旨在调查轮班实习护士中睡眠惯性的发生率、纵向轨迹、影响因素及后果。共有1079名轮班实习护士在临床实习后的第2周（T1）和第16周（T2）分别完成了在线调查。测量了人口统计学特征、继续从事护士工作的意愿、昼夜节律类型、睡眠问题和情绪问题。采用分层逻辑回归分析来检验睡眠惯性不同纵向轨迹的预测因素，采用二元逻辑回归分析来检验睡眠惯性轨迹类别对随访时心理健康问题（日间嗜睡、焦虑、抑郁）的预测作用。总体而言，轮班实习护士中严重睡眠惯性的发生率从T1时的20.4%显著增加到T2时的25.3%。所有参与者被分为四种轨迹类别。多种因素是睡眠惯性不同轨迹的显著预测因素。此外，睡眠惯性恶化和持续高睡眠惯性的个体在随后更有可能出现心理健康问题。睡眠惯性在轮班实习护士中普遍存在，其独特的变化模式与多种风险因素和各种不良后果相关。因此，在为医护人员设计针对睡眠惯性的个性化适当干预措施时，应考虑这些因素。
