Jie Wu1, Hong Wu2, Ciyong Lu3, Lan Guo2, Pengsheng Li2. 1. Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China; Department of Epidemiology, School of Public Health, University of California Los Angeles, Los Angeles, CA, USA. 2. Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China. 3. Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China. Electronic address: luciyong@mail.sysu.edu.cn.
Abstract
OBJECTIVE: Our goal was to estimate the pooled prevalence of self-reported sleep disturbances in HIV-infected people through meta-analysis, taking into account variations in geographic region, gender, age group, CD4 counts, and instrument used to measure sleep disturbances. METHODS: The authors conducted systematic searches of PubMed and PsycINFO to include studies that met our criteria. A random effect meta-analysis model was used to estimate the pooled prevalence of self-reported sleep disturbances in HIV-infected people. The potential moderators of self-reported sleep disturbances were explored with meta-regression analysis. RESULTS: Twenty-seven articles comprising a total of 9246 HIV-positive participants were finally included in our analysis. The overall prevalence of self-reported sleep disturbances in HIV-infected people was 58.0% (95% CI = 49.6-66.1). Meta-regression analysis indicates that geographic region, gender, and instrument significantly explain part of the heterogeneity of the prevalence estimates between the included studies. CONCLUSION: The findings suggest that HIV-infected people suffer from a heavy burden of sleep disturbances. It is therefore recommended that sleep quality should be routinely assessed in HIV-infected people in order to identify the medical treatment needs and the potential impact of sleep problems on antiretroviral therapy outcomes in this population.
OBJECTIVE: Our goal was to estimate the pooled prevalence of self-reported sleep disturbances in HIV-infected people through meta-analysis, taking into account variations in geographic region, gender, age group, CD4 counts, and instrument used to measure sleep disturbances. METHODS: The authors conducted systematic searches of PubMed and PsycINFO to include studies that met our criteria. A random effect meta-analysis model was used to estimate the pooled prevalence of self-reported sleep disturbances in HIV-infected people. The potential moderators of self-reported sleep disturbances were explored with meta-regression analysis. RESULTS: Twenty-seven articles comprising a total of 9246 HIV-positive participants were finally included in our analysis. The overall prevalence of self-reported sleep disturbances in HIV-infected people was 58.0% (95% CI = 49.6-66.1). Meta-regression analysis indicates that geographic region, gender, and instrument significantly explain part of the heterogeneity of the prevalence estimates between the included studies. CONCLUSION: The findings suggest that HIV-infected people suffer from a heavy burden of sleep disturbances. It is therefore recommended that sleep quality should be routinely assessed in HIV-infected people in order to identify the medical treatment needs and the potential impact of sleep problems on antiretroviral therapy outcomes in this population.
Authors: Martin J Downing; Steven T Houang; Roberta Scheinmann; Irene S Yoon; Mary Ann Chiasson; Sabina Hirshfield Journal: Sleep Health Date: 2016-09-19
Authors: Brittanny M Polanka; Suman Kundu; Kaku A So-Armah; Matthew S Freiberg; Samir K Gupta; Roger J Bedimo; Matthew J Budoff; Adeel A Butt; Chung-Chou H Chang; Stephen S Gottlieb; Vincent C Marconi; Julie A Womack; Jesse C Stewart Journal: J Acquir Immune Defic Syndr Date: 2019-05-01 Impact factor: 3.731
Authors: Eugene M Dunne; Brittany L Balletto; Marissa L Donahue; Melissa M Feulner; Julie DeCosta; Dean G Cruess; Elena Salmoirago-Blotcher; Rena R Wing; Michael P Carey; Lori A J Scott-Sheldon Journal: Complement Ther Clin Pract Date: 2018-11-08 Impact factor: 2.446
Authors: Ni Sun-Suslow; Rowan Saloner; Vanessa Serrano; Anya Umlauf; Erin E Morgan; Ronald J Ellis; Scott Letendre; Igor Grant; Robert K Heaton Journal: AIDS Behav Date: 2020-11