中国孕妇睡眠障碍检出率的Meta分析

Detection rate of sleep disorders in pregnant women in China:a Meta-analysis

目的:系统评价我国孕妇睡眠障碍检出率。方法:系统检索维普数据库(VIP)、中国知网(CNKI)、中国生物医学文献数据库(CBM)、万方数据库(WanFang Database)、PubMed、Web of Science、EMbase、the Cochrane Library、PsycINFO中从建库至2023年2月发表的有关我国孕妇睡眠障碍流行情况的文献。由2名研究者进行文献筛选、质量评价和资料提取,采用Stata 16.0软件进行Meta分析。结果:共纳入52篇文献,涉及51859例孕妇。Meta分析结果显示,我国孕妇睡眠障碍检出率为42.8%[95%CI(38.3%,47.4%)]。亚组分析结果显示,年龄<35岁、文化程度为初中及以下、居住在城镇、西部地区、产次为0次、孕周≥28周、有流产史、有妊娠合并症或并发症、有抑郁症状的孕妇睡眠障碍检出率更高;此外,在研究设计方面,使用的匹兹堡睡眠质量问卷(PSQI)划分标准越高,孕妇睡眠障碍检出率就越低。结论:现有证据表明,我国孕妇睡眠障碍检出率较高;受年龄、文化程度、不同来源人群、孕周、产次、流产史、妊娠合并症或并发症、抑郁症状、PSQI划分标准的影响,孕妇睡眠障碍检出率存在一定的差异。

Objective:To systematically evaluate the detection rate of sleep disorders in pregnant women in China.Methods:Literature on the prevalence of sleep disorders in pregnant women in China was retrieved from VIP,CNKI,CBM,WanFang Database,PubMed,Web of Science,EMbase,the Cochrane Library,PsycINFO.The search period was from the establishment of the database to February 2023.After literature screening,quality evaluation and data extraction by two researchers,Stata 16.0 software was used for Meta-analysis.Results:A total of 52 articles were included,involving 51859 pregnant women.The results of Meta-analysis showed that the detection rate of sleep disorders in pregnant women in China was 42.8%(95%CI 38.3%-47.4%).Subgroup analysis results showed that pregnant women<35 years old,education level of junior high school or below,living in urban areas,western areas,zero births,gestational age≥28 weeks,history of abortion,pregnancy complications or complications,and depressive symptoms had a higher rate of sleep disorders.In addition,in terms of study design,the higher the PSQI classification criteria,the lower the detection rate of sleep disorders in pregnant women.Conclusion:The existing evidence shows that the detection rate of sleep disorders in pregnant women in China is relatively high.The detection rate of sleep disorder in pregnant women was different by age,education level,different source population,gestational age,birth time,abortion history,pregnancy complications or complications,depressive symptoms and PSQI classification criteria.