Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/6597
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dc.contributor.authorZeng, Liang-Nanen_US
dc.contributor.authorYang, Yuanen_US
dc.contributor.authorWang, Chenen_US
dc.contributor.authorLi, Xiao-Hongen_US
dc.contributor.authorXiang, Yi-Fanen_US
dc.contributor.authorHall, Brian J.en_US
dc.contributor.authorUngvari, Gabor S.en_US
dc.contributor.authorLi, Chun-Yangen_US
dc.contributor.authorChen, Chaoen_US
dc.contributor.authorChen, Li-Gangen_US
dc.contributor.authorDr. CUI Xiling, Celineen_US
dc.contributor.authorAn, Feng-Rongen_US
dc.contributor.authorXiang, Yu-Taoen_US
dc.date.accessioned2021-05-22T01:20:50Z-
dc.date.available2021-05-22T01:20:50Z-
dc.date.issued2020-
dc.identifier.citationBehavioral Sleep Medicine, 2020, vol. 18(6), pp. 746-759.en_US
dc.identifier.issn1540-2002-
dc.identifier.issn1540-2010-
dc.identifier.urihttp://hdl.handle.net/20.500.11861/6597-
dc.description.abstractObjective: Poor sleep quality is common in nursing staff. This meta-analysis aimed to examine the pooled prevalence of poor sleep quality in nursing staff. Methods: A systematic search in PubMed, EMBASE, PsycINFO, and Web of Science databases was performed. Studies that reported sleep quality measured by the Pittsburgh Sleep Quality Index (PSQI) were synthesized using a random-effects model. Results: Fifty-three studies were analyzed. The pooled prevalence of poor sleep quality was 61.0% (95% CI: 55.8–66.1%). The pooled total PSQI score was 7.13 ± 0.18 (95% CI: 6.78–7.50). The pooled component scores were 1.47 ± 0.20 (95% CI of mean score: 1.08–1.85) in sleep latency, 0.91 ± 0.15 (95% CI of mean score: 0.61–1.21) in sleep duration, 1.59 ± 0.13 (95% CI of mean score: 1.35–1.84) in overall sleep disturbances, 0.33 ± 0.18 (95% CI of mean score: 0-0.67) in sleeping medication, 1.21 ± 1.20 (95% CI of mean score: 0.83–1.60) in daytime dysfunction, 1.39 ± 0.14 (95% CI of mean score: 1.11–1.67) in subjective sleep quality, and 0.66 ± 0.11 (95% CI of mean score: 0.44–0.87) in habitual sleep efficiency. Subgroup and meta-regression analyses found that PSQI cutoff values, mean age, body mass index (BMI), sample size, study quality, and work experience moderated the prevalence of poor sleep quality. Conclusions: Poor sleep quality appears to be common in nursing staff. Considering its negative impact on health, effective measures should be taken to improve poor sleep quality in this population. Longitudinal studies should be conducted to examine the contributing factors of nurses’ poor sleep quality.en_US
dc.language.isoenen_US
dc.relation.ispartofBehavioral Sleep Medicineen_US
dc.titlePrevalence of poor sleep quality in nursing staff: A meta-analysis of observational studiesen_US
dc.typePeer Reviewed Journal Articleen_US
dc.identifier.doi10.1080/15402002.2019.1677233-
item.fulltextNo Fulltext-
crisitem.author.deptDepartment of Business Administration-
Appears in Collections:Business Administration - Publication
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