Liang-Nan Zeng1,2,3, Yuan Yang1,3,4, Chen Wang5,6, Xiao-Hong Li7, Yi-Fan Xiang8, Brian J Hall9,10, Gabor S Ungvari11,12, Chun-Yang Li6, Chao Chen6, Li-Gang Chen2, Xi-Ling Cui13, Feng-Rong An7, Yu-Tao Xiang1,3. 1. Unit of Psychiatry, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau , Macao SAR, China. 2. Department of Neurosurgery, The Affiliated Hospital of Southwest Medical University, Neurosurgery Clinical Medical Research Center of Sichuan Province, Academician (Expert) Workstation of Sichuan Province , Sichuan, China. 3. Center for Cognition and Brain Sciences, University of Macau , Macao SAR, China. 4. Department of Psychiatry and Psychology, Southern Medical University Nanfang Hospital , Guangdong, China. 5. Department of Psychiatry and Mental Health, Guangdong Medical University , Guangdong, China. 6. Department of Psychiatry, Shunde WuZhongpei Memorial Hospital , Foshan city, Guangdong, China. 7. The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University , Beijing, China. 8. Pui Ching Middle School Macau , Macau SAR, China. 9. Global and Community Mental Health Research Group, Department of Psychology, University of Macau , Macao SAR, China. 10. Health, Behavior, and Society, Johns Hopkins Bloomberg School of Public Health , Baltimore, MD, USA. 11. Division of Psychiatry, School of Medicine, University of Western Australia , Perth, Australia. 12. The University of Notre Dame Australia , Fremantle, Australia. 13. Department of Business Administration, Hong Kong Shue Yan University , Hong Kong, China.
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.
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.
Authors: Zainab Alimoradi; Anders Broström; Hector W H Tsang; Mark D Griffiths; Shahab Haghayegh; Maurice M Ohayon; Chung-Ying Lin; Amir H Pakpour Journal: EClinicalMedicine Date: 2021-06-10
Authors: Yasser H Alnofaiey; Haneen A Alshehri; Maram M Alosaimi; Shrooq H Alswat; Raghad H Alswat; Rahaf M Alhulayfi; Meteb A Alghamdi; Reem M Alsubaie Journal: BMC Res Notes Date: 2020-10-21
Authors: Haitham Jahrami; Ahmed S BaHammam; Nicola Luigi Bragazzi; Zahra Saif; MoezAlIslam Faris; Michael V Vitiello Journal: J Clin Sleep Med Date: 2021-02-01 Impact factor: 4.062