TY - JOUR
T1 - Prevalence of poor sleep quality in COVID-19 patients
T2 - a systematic review and meta-analysis
AU - Gui, Z
AU - Wang, YY
AU - Li, JX
AU - Li, XH
AU - Su, ZH
AU - Cheung, T
AU - Lok, KI
AU - Ungvari, GS
AU - Ng, CH
AU - Zhang, QE
AU - Xiang, YT
PY - 2024/1/8
Y1 - 2024/1/8
N2 - Objective: The coronavirus disease (COVID-19) and the public health responses were associated with a huge health burden, which could influence sleep quality. This meta-analysis and systematic review examined the prevalence of poor sleep quality in COVID-19 patients. Methods: PubMed, Web of Science, Embase, and PsycINFO were systematically searched from their respective inception to October 27, 2022. Prevalence rates of poor sleep were analyzed using a random effects model. Results: Totally, 24 epidemiological and 12 comparative studies with 8,146 COVID-19 patients and 5,787 healthy controls were included. The pooled prevalence of poor sleep quality based on the included studies was 65.0% (95%CI: 59.56–70.44%, I2 = 97.6%). COVID-19 patients had a higher risk of poor sleep quality compared to healthy controls (OR = 1.73, 95% CI: 1.30–2.30, p < 0.01, I2 = 78.1%) based on the 12 comparative studies. Subgroup analysis revealed that COVID-19 patients in low-income countries (p = 0.011) and in studies using a lower Pittsburgh Sleep Quality Index score cut-off (p < 0.001) were more likely to have poor sleep quality. Meta-regression analyses revealed that being female (p = 0.044), older (p < 0.001) and married (p = 0.009) were significantly correlated with a higher risk of poor sleep quality while quality score (p = 0.014) were negatively correlated with the prevalence of poor sleep quality in COVID-19 patients. Conclusion: Poor sleep quality was found to be very common in COVID-19 patients. Considering the negative effects of poor sleep quality on daily life, sleep quality should be routinely assessed and appropriately addressed in COVID-19 patients. Copyright © 2024 Gui, Wang, Li, Li, Su, Cheung, Lok, Ungvari, Ng, Zhang and Xiang.
AB - Objective: The coronavirus disease (COVID-19) and the public health responses were associated with a huge health burden, which could influence sleep quality. This meta-analysis and systematic review examined the prevalence of poor sleep quality in COVID-19 patients. Methods: PubMed, Web of Science, Embase, and PsycINFO were systematically searched from their respective inception to October 27, 2022. Prevalence rates of poor sleep were analyzed using a random effects model. Results: Totally, 24 epidemiological and 12 comparative studies with 8,146 COVID-19 patients and 5,787 healthy controls were included. The pooled prevalence of poor sleep quality based on the included studies was 65.0% (95%CI: 59.56–70.44%, I2 = 97.6%). COVID-19 patients had a higher risk of poor sleep quality compared to healthy controls (OR = 1.73, 95% CI: 1.30–2.30, p < 0.01, I2 = 78.1%) based on the 12 comparative studies. Subgroup analysis revealed that COVID-19 patients in low-income countries (p = 0.011) and in studies using a lower Pittsburgh Sleep Quality Index score cut-off (p < 0.001) were more likely to have poor sleep quality. Meta-regression analyses revealed that being female (p = 0.044), older (p < 0.001) and married (p = 0.009) were significantly correlated with a higher risk of poor sleep quality while quality score (p = 0.014) were negatively correlated with the prevalence of poor sleep quality in COVID-19 patients. Conclusion: Poor sleep quality was found to be very common in COVID-19 patients. Considering the negative effects of poor sleep quality on daily life, sleep quality should be routinely assessed and appropriately addressed in COVID-19 patients. Copyright © 2024 Gui, Wang, Li, Li, Su, Cheung, Lok, Ungvari, Ng, Zhang and Xiang.
KW - COVID-19
KW - Meta-analysis
KW - Prevalence
KW - Review
KW - Sleep quality
UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=uwapure5-25&SrcAuth=WosAPI&KeyUT=WOS:001154707300001&DestLinkType=FullRecord&DestApp=WOS_CPL
U2 - 10.3389/fpsyt.2023.1272812
DO - 10.3389/fpsyt.2023.1272812
M3 - Review article
C2 - 38260776
SN - 1664-0640
VL - 14
JO - Frontiers in Psychiatry
JF - Frontiers in Psychiatry
M1 - 1272812
ER -