Sleep quality and its predictors among hospital-based nurses: a cross-sectional study
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 Jordania...
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Veröffentlicht in: | Sleep & breathing 2021-12, Vol.25 (4), p.2269-2275 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | 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. |
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ISSN: | 1520-9512 1522-1709 |
DOI: | 10.1007/s11325-021-02333-z |