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使用多导睡眠图测量睡眠健康差异:初步研究结果的系统评价

Measuring Sleep Health Disparities with Polysomnography: A Systematic Review of Preliminary Findings.

作者信息

Etindele Sosso Faustin Armel

机构信息

Department on Global Health and Ecoepidemiology, Redavi Institute, Montréal, QC H4J 1C5, Canada.

出版信息

Clocks Sleep. 2022 Feb 18;4(1):80-87. doi: 10.3390/clockssleep4010009.

Abstract

Socioeconomic status (SES) has an unrecognized influence on behavioral risk factors as well as public health strategies related to sleep health disparities. In addition to that, objectively measuring SES' influence on sleep health is challenging. A systematic review of polysomnography (PSG) studies investigating the relation between SES and sleep health disparities is worthy of interest and holds potential for future studies and recommendations. A literature search in databases was conducted following Prisma guidelines. Search strategy identified seven studies fitting within the inclusion criteria. They were all cross-sectional studies with only adults. Except for one study conducted in India, all of these studies took place in western countries. Overall emerging trends are: (1) low SES with its indicators (income, education, occupation and employment) are negatively associated with PSG parameters and (2) environmental factors (outside noise, room temperature and health worries); sex/gender and BMI were the main moderators of the relation between socioeconomic indicators and the variation of sleep recording with PSG. Socioeconomic inequalities in sleep health can be measured objectively. It will be worthy to examine the SES of participants and patients before they undergo PSG investigation. PSG studies should always collect socioeconomic data to discover important connections between SES and PSG. It will be interesting to compare PSG data of people from different SES in longitudinal studies and analyze the intensity of variations through time.

摘要

社会经济地位(SES)对行为风险因素以及与睡眠健康差异相关的公共卫生策略有着未被认识到的影响。除此之外,客观衡量SES对睡眠健康的影响具有挑战性。对调查SES与睡眠健康差异之间关系的多导睡眠图(PSG)研究进行系统综述值得关注,并且对未来的研究和建议具有潜力。按照Prisma指南在数据库中进行了文献检索。检索策略确定了七项符合纳入标准的研究。它们都是仅针对成年人的横断面研究。除了在印度进行的一项研究外,所有这些研究都在西方国家开展。总体呈现出的趋势是:(1)低SES及其指标(收入、教育、职业和就业)与PSG参数呈负相关,以及(2)环境因素(外部噪音、室温以及对健康的担忧);性别和BMI是社会经济指标与PSG睡眠记录变化之间关系的主要调节因素。睡眠健康方面的社会经济不平等可以客观衡量。在参与者和患者接受PSG检查之前对其SES进行检查是值得的。PSG研究应始终收集社会经济数据,以发现SES与PSG之间的重要联系。在纵向研究中比较不同SES人群的PSG数据,并分析随时间变化的强度将会很有趣。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0549/8883971/f7dec1b65400/clockssleep-04-00009-g001.jpg

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