Sleep quality and its predictors among hospital-based nurses: a cross-sectional study

Sleep Breath. 2021 Dec;25(4):2269-2275. doi: 10.1007/s11325-021-02333-z. Epub 2021 Feb 28.

Abstract

Purpose: Sleep disorders are common among nurses and may have negative effects on their performance and well-being. This study aimed to investigate the level of sleep quality and its possible associated factors among hospital-based nurses in Jordan.

Methods: A cross-sectional design targeting Jordanian hospital-based nurses. In addition to demographics and work habits, the outcome measures included Pittsburgh Sleep Quality Index (PSQI), Nordic Musculoskeletal Questionnaire (NMQ), and Depression Anxiety Stress Scale (DASS). Data were analyzed descriptively and by a multiple variable linear regression analysis to identify predictors of sleep quality.

Results: In total, 597 nurses with a mean age of 32.1 (± 5.7) years participated in this study and 47% were men. PSQI mean score was 7.8 (± 3.7) and 68% of the participants showed sleep quality deficits. Stress (β = 0.15 [95%CI 0.13 to 0.19, P < 0.001), depression (β = 0.05 [95%CI 0.009 to 0.08], P = 0.015), the number of joints with 12 months musculoskeletal pain (β = 0.25 [95%CI 0.15 to 0.36], P < 0.001) positively predicted decreased sleep quality. Manual handling training (β = - 0.48 [95%CI -0.96 to 0.003], P = 0.048) and years of experience (β = - 0.05 [95%CI -0.09 to 0.002], P = 0.039) negatively predicted decreased sleep quality.

Conclusions: Nurses reported poor levels of sleep quality, high levels of mental health symptoms, and musculoskeletal pain complaints. Sleep quality among nurses and its predictors should be carefully considered by administrations of healthcare services.

Keywords: Mental health; Nurses; Occupational stress; Sleep quality.

MeSH terms

  • Adult
  • Behavioral Symptoms / epidemiology*
  • Comorbidity
  • Cross-Sectional Studies
  • Female
  • Humans
  • Jordan / epidemiology
  • Male
  • Musculoskeletal Pain / epidemiology*
  • Nursing Staff, Hospital / statistics & numerical data*
  • Occupational Diseases / epidemiology*
  • Sleep Quality*
  • Sleep Wake Disorders / epidemiology*