Prevalence of Poor Sleep Quality in Nursing Staff: A Meta-Analysis of Observational Studies

Liang-Nan Zeng, Yuan Yang, Chen Wang, Xiao-Hong Li, Yi-Fan Xiang, Brian J. Hall, Gabor S. Ungvari, Chun-Yang Li, Chao Chen, Li-Gang Chen, Xi-Ling Cui, Feng-Rong An, Yu-Tao Xiang

Research output: Contribution to journalArticle

Abstract

Objective: 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.

Original languageEnglish
Number of pages14
JournalBehavioral Sleep Medicine
DOIs
Publication statusE-pub ahead of print - 2 Nov 2019

Cite this

Zeng, Liang-Nan ; Yang, Yuan ; Wang, Chen ; Li, Xiao-Hong ; Xiang, Yi-Fan ; Hall, Brian J. ; Ungvari, Gabor S. ; Li, Chun-Yang ; Chen, Chao ; Chen, Li-Gang ; Cui, Xi-Ling ; An, Feng-Rong ; Xiang, Yu-Tao. / Prevalence of Poor Sleep Quality in Nursing Staff : A Meta-Analysis of Observational Studies. In: Behavioral Sleep Medicine. 2019.
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abstract = "Objective: 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.",
keywords = "NIGHT-SHIFT WORK, HOSPITAL NURSES, LIFE-STYLE, FATIGUE, STRESS, INDEX, BURNOUT, HEALTH, ASSOCIATION, POPULATION",
author = "Liang-Nan Zeng and Yuan Yang and Chen Wang and Xiao-Hong Li and Yi-Fan Xiang and Hall, {Brian J.} and Ungvari, {Gabor S.} and Chun-Yang Li and Chao Chen and Li-Gang Chen and Xi-Ling Cui and Feng-Rong An and Yu-Tao Xiang",
year = "2019",
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language = "English",
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Zeng, L-N, Yang, Y, Wang, C, Li, X-H, Xiang, Y-F, Hall, BJ, Ungvari, GS, Li, C-Y, Chen, C, Chen, L-G, Cui, X-L, An, F-R & Xiang, Y-T 2019, 'Prevalence of Poor Sleep Quality in Nursing Staff: A Meta-Analysis of Observational Studies' Behavioral Sleep Medicine. https://doi.org/10.1080/15402002.2019.1677233

Prevalence of Poor Sleep Quality in Nursing Staff : A Meta-Analysis of Observational Studies. / Zeng, Liang-Nan; Yang, Yuan; Wang, Chen; Li, Xiao-Hong; Xiang, Yi-Fan; Hall, Brian J.; Ungvari, Gabor S.; Li, Chun-Yang; Chen, Chao; Chen, Li-Gang; Cui, Xi-Ling; An, Feng-Rong; Xiang, Yu-Tao.

In: Behavioral Sleep Medicine, 02.11.2019.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Prevalence of Poor Sleep Quality in Nursing Staff

T2 - A Meta-Analysis of Observational Studies

AU - Zeng, Liang-Nan

AU - Yang, Yuan

AU - Wang, Chen

AU - Li, Xiao-Hong

AU - Xiang, Yi-Fan

AU - Hall, Brian J.

AU - Ungvari, Gabor S.

AU - Li, Chun-Yang

AU - Chen, Chao

AU - Chen, Li-Gang

AU - Cui, Xi-Ling

AU - An, Feng-Rong

AU - Xiang, Yu-Tao

PY - 2019/11/2

Y1 - 2019/11/2

N2 - Objective: 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.

AB - Objective: 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.

KW - NIGHT-SHIFT WORK

KW - HOSPITAL NURSES

KW - LIFE-STYLE

KW - FATIGUE

KW - STRESS

KW - INDEX

KW - BURNOUT

KW - HEALTH

KW - ASSOCIATION

KW - POPULATION

U2 - 10.1080/15402002.2019.1677233

DO - 10.1080/15402002.2019.1677233

M3 - Article

JO - Behavioral Sleep Medicine

JF - Behavioral Sleep Medicine

SN - 1540-2002

ER -