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Sleep quality after stroke: A systematic review and meta-analysis

Sleep-related problems are debilitating and long-lasting conditions in individuals with stroke. We aimed to estimate the prevalence of poor sleep quality after stroke by conducting a systematic review and meta-analysis. METHODS: Five databases (PubMed, Embase, Web of Science, Scopus, and CINHAL) wer...

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Autores principales: Luo, Ye, Yu, Guofeng, Liu, Yuanfei, Zhuge, Chengjun, Zhu, Yinge
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10194580/
https://www.ncbi.nlm.nih.gov/pubmed/37335687
http://dx.doi.org/10.1097/MD.0000000000033777
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author Luo, Ye
Yu, Guofeng
Liu, Yuanfei
Zhuge, Chengjun
Zhu, Yinge
author_facet Luo, Ye
Yu, Guofeng
Liu, Yuanfei
Zhuge, Chengjun
Zhu, Yinge
author_sort Luo, Ye
collection PubMed
description Sleep-related problems are debilitating and long-lasting conditions in individuals with stroke. We aimed to estimate the prevalence of poor sleep quality after stroke by conducting a systematic review and meta-analysis. METHODS: Five databases (PubMed, Embase, Web of Science, Scopus, and CINHAL) were searched for literature published before November 2022. Studies recruiting participants with stroke, using a validated scale to measure sleep quality and in English were included. We used the Agency for Healthcare Research and Quality Scale and Newcastle–Ottawa Scale to assess the quality of eligible studies. Pooled prevalence and subgroup analyses were performed to understand the variation in sleep quality among studies. We followed the PRISMA checklist to report the study. RESULTS: Thirteen studies were included for analysis (n = 3886). The pooled prevalence of poor sleep quality was 53% (95% CI 41–65%). Studies using PSQI with a cutoff point of 7 had a prevalence of 49% (95% CI 26–71%), whereas those with a cutoff point of 5 had a higher prevalence of 66% (95% CI 63–69%) (P = .13). Geographical location could explain the prevalence variation between studies. The majority of included studies had a medium level quality of evidence (10/13). CONCLUSION: Poor sleep quality appears to be common in patients with stroke. Considering its negative impact on health, effective measures should be taken to improve their quality of sleep. Longitudinal studies should be conducted to examine the contributing factors and investigate the mechanisms that lead to poor sleep quality.
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spelling pubmed-101945802023-05-19 Sleep quality after stroke: A systematic review and meta-analysis Luo, Ye Yu, Guofeng Liu, Yuanfei Zhuge, Chengjun Zhu, Yinge Medicine (Baltimore) 3400 Sleep-related problems are debilitating and long-lasting conditions in individuals with stroke. We aimed to estimate the prevalence of poor sleep quality after stroke by conducting a systematic review and meta-analysis. METHODS: Five databases (PubMed, Embase, Web of Science, Scopus, and CINHAL) were searched for literature published before November 2022. Studies recruiting participants with stroke, using a validated scale to measure sleep quality and in English were included. We used the Agency for Healthcare Research and Quality Scale and Newcastle–Ottawa Scale to assess the quality of eligible studies. Pooled prevalence and subgroup analyses were performed to understand the variation in sleep quality among studies. We followed the PRISMA checklist to report the study. RESULTS: Thirteen studies were included for analysis (n = 3886). The pooled prevalence of poor sleep quality was 53% (95% CI 41–65%). Studies using PSQI with a cutoff point of 7 had a prevalence of 49% (95% CI 26–71%), whereas those with a cutoff point of 5 had a higher prevalence of 66% (95% CI 63–69%) (P = .13). Geographical location could explain the prevalence variation between studies. The majority of included studies had a medium level quality of evidence (10/13). CONCLUSION: Poor sleep quality appears to be common in patients with stroke. Considering its negative impact on health, effective measures should be taken to improve their quality of sleep. Longitudinal studies should be conducted to examine the contributing factors and investigate the mechanisms that lead to poor sleep quality. Lippincott Williams & Wilkins 2023-05-17 /pmc/articles/PMC10194580/ /pubmed/37335687 http://dx.doi.org/10.1097/MD.0000000000033777 Text en Copyright © 2023 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY) (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle 3400
Luo, Ye
Yu, Guofeng
Liu, Yuanfei
Zhuge, Chengjun
Zhu, Yinge
Sleep quality after stroke: A systematic review and meta-analysis
title Sleep quality after stroke: A systematic review and meta-analysis
title_full Sleep quality after stroke: A systematic review and meta-analysis
title_fullStr Sleep quality after stroke: A systematic review and meta-analysis
title_full_unstemmed Sleep quality after stroke: A systematic review and meta-analysis
title_short Sleep quality after stroke: A systematic review and meta-analysis
title_sort sleep quality after stroke: a systematic review and meta-analysis
topic 3400
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10194580/
https://www.ncbi.nlm.nih.gov/pubmed/37335687
http://dx.doi.org/10.1097/MD.0000000000033777
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