Sleep

Latent profile analysis of sleep quality and associated factors on sleep patterns in night-shift nurses: a cross-sectional study.

TL;DR

Sleep quality of night-shift nurses was categorized into four latent profiles, with only 44.4% having 'good sleep quality,' and perceived stress, sleep chronotype, monthly night shifts, weekly working hours, age, years of nursing experience, and marital status were significantly associated with sleep quality profiles.

Key Findings

The mean PSQI score among shift nurses indicated overall sleep problems within the group.

  • Mean PSQI score was 7.23 ± 3.16 points
  • PSQI scores above 5 are generally considered to indicate poor sleep quality
  • Sample consisted of 1,608 valid responses from 1,650 distributed questionnaires (97.5% valid response rate)
  • Nurses were drawn from four tertiary A-level hospitals using convenience sampling from May to June 2025

Latent profile analysis identified four distinct sleep quality categories among night-shift nurses.

  • Profile 1: 'Good sleep quality' comprised 44.4% of nurses
  • Profile 2: 'Moderate sleep quality' comprised 40.7% of nurses
  • Profile 3: 'Sleep disorder-low sleeping pills' comprised 9.6% of nurses
  • Profile 4: 'Sleep disorder-high sleeping pills' comprised 5.3% of nurses
  • The majority of nurses (55.6%) fell into categories other than good sleep quality

Perceived stress was a significant factor associated with sleep quality profiles in night-shift nurses.

  • Perceived stress was measured using the perceived stress scale
  • Association was identified through multivariate multinomial logistic regression analysis
  • Statistically significant at p < 0.05
  • Higher perceived stress was associated with poorer sleep quality profiles

Sleep chronotype was significantly associated with sleep quality profiles among night-shift nurses.

  • Sleep chronotype was measured using the sleep chronotype questionnaire
  • Chronotype was identified as a significant factor in multinomial logistic regression (p < 0.05)
  • Chronotype reflects individual preferences for timing of sleep and wakefulness, which may interact with night-shift schedules

Work-related factors including monthly night shifts and weekly working hours were significantly associated with sleep quality profiles.

  • Monthly night shift frequency was a significant predictor (p < 0.05)
  • Weekly working hours were a significant predictor (p < 0.05)
  • Both factors were identified through multivariate multinomial logistic regression analysis
  • These findings suggest that scheduling practices may influence the likelihood of sleep disorders in nurses

Demographic and professional characteristics including age, years of nursing experience, and marital status were significantly associated with sleep quality profiles.

  • Age was a significant factor (p < 0.05)
  • Years of nursing experience was a significant factor (p < 0.05)
  • Marital status was a significant factor (p < 0.05)
  • These associations were identified through univariate and multinomial logistic regression analyses

A notable proportion of night-shift nurses fell into sleep disorder profiles distinguished by sleeping pill use.

  • 9.6% were classified as 'sleep disorder-low sleeping pills'
  • 5.3% were classified as 'sleep disorder-high sleeping pills'
  • Combined, approximately 14.9% of night-shift nurses had sleep disorders with sleeping pill involvement
  • The distinction between low and high sleeping pill use suggests variability in the severity and management of sleep disorders within this population

What This Means

This research suggests that sleep problems are widespread among nurses who work night shifts. In a study of over 1,600 nurses from four large hospitals in China, researchers found that the average sleep quality score indicated sleep difficulties across the group as a whole. Using a statistical technique called latent profile analysis, they identified four distinct groups of nurses: those with good sleep quality (about 44%), those with moderate sleep quality (about 41%), and two groups with sleep disorders — one relying less on sleeping pills (about 10%) and one relying heavily on sleeping pills (about 5%). This means more than half of night-shift nurses were experiencing some level of sleep disruption. The research also identified several factors linked to which sleep group a nurse fell into. Nurses who felt more stressed, who had a natural body clock mismatched with night work (chronotype), who worked more night shifts per month or more hours per week, and who were older, more experienced, or had certain marital statuses were more likely to be in the poorer sleep quality groups. These findings highlight that sleep quality is not uniform among night-shift nurses — it varies based on a combination of personal, professional, and biological factors. This research suggests that hospital administrators and nursing managers should not treat sleep problems as a one-size-fits-all issue. Instead, targeted interventions — such as stress management programs, adjustments to shift scheduling, or sleep education tailored to different chronotypes — could be more effective than general approaches. The identification of a subgroup using high levels of sleeping pills is particularly notable, as it points to a group that may need more intensive clinical support.

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Citation

Chu X, Lv J, Li G, Wang D. (2026). Latent profile analysis of sleep quality and associated factors on sleep patterns in night-shift nurses: a cross-sectional study.. Frontiers in public health. https://doi.org/10.3389/fpubh.2026.1800662