Sleep

Latent class analysis of sleep-related worry and its influencing factors among shift work nurses: a cross-sectional study.

TL;DR

Shift-work nurses exhibit heterogeneous profiles of sleep-related worry that can be classified into three distinct latent classes, with sleep quality, self-regulatory fatigue, sleep-related training, average monthly income, and overtime work identified as significant influencing factors.

Key Findings

The overall sleep-related worry score among shift-work nurses was at a moderate to high level.

  • Mean sleep-related worry score was 35.27 ± 9.07 points on the Anxiety and Preoccupation about Sleep Questionnaire
  • Sample consisted of 653 shift nurses from three tertiary grade A hospitals in Shandong Province
  • Data were collected from March to July 2025 using convenience sampling

Latent class analysis identified three distinct subgroups of sleep-related worry among shift-work nurses.

  • Class 1: 'emotionally healthy' sleep-related worry group, comprising 16.54% of participants
  • Class 2: 'consequence worry' sleep-related worry group, comprising 25.11% of participants
  • Class 3: 'generalized dysregulation' sleep-related worry group, comprising 58.35% of participants
  • The largest subgroup was the 'generalized dysregulation' class, representing more than half of the sample

Sleep quality was a significant influencing factor of latent class membership for sleep-related worry among shift-work nurses.

  • Sleep quality was measured using the Pittsburgh Sleep Quality Index
  • Multinomial logistic regression confirmed sleep quality as a statistically significant factor (p < 0.05)
  • Sleep quality differentiated membership across the three latent classes

Self-regulatory fatigue was a significant influencing factor of latent class membership for sleep-related worry.

  • Self-regulatory fatigue was measured using the Self-regulatory Fatigue Scale
  • Identified as a significant factor via multinomial logistic regression (p < 0.05)
  • Self-regulatory fatigue differentiated worry profiles across the three latent classes

Sleep-related training, average monthly income, and overtime work were significant influencing factors of sleep-related worry latent class membership.

  • All three variables were identified as significant in multinomial logistic regression analysis (p < 0.05)
  • These occupational and socioeconomic factors contributed to differential classification of nurses into the three worry subgroups
  • Presenteeism was assessed using the Stanford Presenteeism Scale-6 as part of the broader data collection

Sleep-related worry among shift-work nurses manifests in heterogeneous profiles, suggesting the need for tailored interventions.

  • Authors concluded that 'nursing managers should accurately identify the differential needs of nurses across these distinct worry categories'
  • Targeted interventions were recommended to 'improve both sleep health and nursing care quality'
  • The heterogeneity of profiles indicates that a one-size-fits-all approach to managing sleep-related worry is insufficient

What This Means

This research suggests that sleep-related worry is a widespread and significant issue among nurses who work rotating or night shifts. Studying 653 shift-work nurses in China, the researchers found that the average level of sleep-related worry was moderate to high. Importantly, not all nurses experienced sleep-related worry in the same way — using a statistical technique called latent class analysis, the researchers identified three distinct groups: a relatively 'emotionally healthy' group (about 17% of nurses), a 'consequence worry' group focused on the effects of poor sleep (about 25%), and a 'generalized dysregulation' group with broad and pervasive sleep concerns (about 58%). The majority of shift-work nurses fell into the most troubled category. The research also identified key factors associated with which worry group a nurse belonged to. Poorer sleep quality and higher self-regulatory fatigue (difficulty managing one's own behavior and emotions) were linked to more severe worry profiles. Occupational and economic factors also mattered: whether nurses had received sleep-related training, how much they earned per month, and whether they worked overtime all played a role in determining their worry classification. This research suggests that hospital managers and nursing leaders cannot use a single, uniform strategy to address sleep-related worry across all shift-work nurses. Instead, understanding which 'type' of sleep worrier a nurse is could allow for more personalized support — for example, targeting fatigue management or providing sleep education for those who might benefit most. Given that most nurses fell into the most dysregulated category, these findings highlight the scale of the problem and the importance of workplace interventions aimed at improving nurses' sleep health and overall well-being.

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Citation

Zhang S, Cheng Z, Qiao J. (2026). Latent class analysis of sleep-related worry and its influencing factors among shift work nurses: a cross-sectional study.. Frontiers in public health. https://doi.org/10.3389/fpubh.2026.1908778