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May 24, 2026Frontiers in Public HealthOpen Access

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

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Authors

XCXin ChuJLJuan LvGLGuiling Li

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Overview

Cross-sectional study investigates sleep quality categories and factors in night-shift nurses, suggesting targeted interventions.

Key Points

  • This study aims to categorize sleep quality among night-shift nurses and identify associated factors.
  • Cross-sectional study with convenience sampling of 1,650 shift nurses from four hospitals
  • Data collected using Pittsburgh Sleep Quality Index and other standardized questionnaires
  • Latent profile analysis and multinomial logistic regression were used for data analysis.
  • Mean PSQI score was 7.23 ± 3.16, indicating poor overall sleep quality
  • Four sleep quality categories identified: good sleep quality (44.4%), moderate sleep quality (40.7%), sleep disorder–low sleeping pills (9.6%), and sleep disorder–high sleeping pills (5.3%)
  • Perceived stress and other factors were significantly associated with sleep quality profiles (p < 0.05).

Cite This Study

Chu et al. (2026) studied this question.

synapsesocial.com/papers/6a12949848a0ea1665670fe1https://doi.org/10.3389/fpubh.2026.1800662
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Exploration of shift work among nursing professionals related to interconnected determinants of health in a hospital: a cross-sectional study2026
  2. 2Shift work, sociodemographic factors, and sleep quality among nurses working in rotating and day shifts: a cross-sectional analysis2026
  3. 3Association between night-shift work and sleep quality among nurses2025
  4. 4Exploring the influencing factors of sleep quality among ICU Nurses:a cross-sectional latent profile analysis2024
  5. 5The relationship between sleep quality and occupational identity among psychiatric night shift nurses2026 · 1 citations