Kavousi Parisa, Mali Ehsan, Seifhashemi Nasim, Souri Mohamad, Pakravan Leyla, Khalili Fatemeh
Department of Clinical Psychology, School of Psychology, Islamic Azad University Roudehen Branch, Tehran, Iran.
Department of Psychology, Payame Noor University, Kordkuy, Golestan, Iran.
Iran J Psychiatry. 2025 Apr;20(2):265-280. doi: 10.18502/ijps.v20i2.18207.
The objective of this meta-analysis was to establish the prevalence of poor sleep quality among individuals aged over 60 years old, utilizing the Pittsburgh Sleep Quality Index (PSQI). To identify appropriate records, a thorough search of PubMed, Scopus, and Web of Knowledge databases was conducted until May 22, 2024. The quality of the included studies was assessed using the Hoy tool. To calculate the pooled prevalence with a 95% confidence interval, the random effects model was utilized. Additionally, subgroup analyses were carried out to investigate the potential sources of heterogeneity. This study examined 52 cross-sectional studies encompassing 24,217 individuals aged 60 and older. The quality of the studies was assessed, with 4 rated as moderate and 48 as good. China reported the lowest prevalence of poor sleep quality at 14%, while Malaysia recorded the highest at 96%. The overall pooled prevalence was found to be 50% (95% CI: 45-55%), exhibiting significant heterogeneity across the studies (I² = 99.60%, Pheterogeneity < 0.001). Subgroup analysis indicated that geographic location significantly influenced this heterogeneity (p < 0.001), with Africa showing a lower prevalence of poor sleep quality at 27% (95% CI: 23%-32%) compared to other regions. However, no significant differences were observed in the impact of other factors, such as gender, level of development, sample size, survey time, PSQI cut-off, and response rate on the overall heterogeneity of the analyzed data. This study reveals that approximately half of older adults experience poor sleep quality. However, this prevalence varies across different locations, underscoring the necessity for targeted interventions that consider regional factors influencing sleep health.
本荟萃分析的目的是利用匹兹堡睡眠质量指数(PSQI)确定60岁以上人群中睡眠质量差的患病率。为了识别合适的记录,我们对PubMed、Scopus和Web of Knowledge数据库进行了全面检索,直至2024年5月22日。使用Hoy工具评估纳入研究的质量。为了计算95%置信区间的合并患病率,采用了随机效应模型。此外,还进行了亚组分析以调查异质性的潜在来源。本研究审查了52项横断面研究,涵盖24217名60岁及以上的个体。对研究质量进行了评估,其中4项评为中等,4