美国中年研究》中经济衰退困难与主观和客观睡眠测量之间的关系:种族和性别差异。

Frontiers in sleep Pub Date : 2024-01-01 Epub Date: 2024-10-30 DOI:10.3389/frsle.2024.1403818
Aarti C Bhat, Jose A Diaz, Sun Ah Lee, David M Almeida, Soomi Lee
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引用次数: 0

摘要

研究目的方法:来自美国中年(MIDUS)研究的 501 名成年人(14.57% 为黑人;54.49% 为女性)报告了两次波次(经济衰退前,2004-2009 年收集;经济衰退后,2017-2022 年收集)的主观匹兹堡睡眠质量指数(PSQI),以及 2008 年以来的经济衰退状况。201名成人(25.37%为黑人;58.21%为女性)的子样本提供了两波客观的动图测量睡眠数据(总睡眠时间、睡眠开始潜伏期、睡眠效率):描述性分析表明,与白人参与者相比,黑人参与者的平均经济衰退艰辛程度更高,经济衰退后 PSQI 分数更低,经济衰退后动电图测量的睡眠数量和质量也更低。与男性相比,女性的平均经济衰退艰辛程度更高;与男性相比,女性报告的经济衰退后 PSQI 分数更低,但经济衰退后的客观睡眠数量和质量更好。回归模型显示,经济衰退中的困难(包括整体事件以及经济和住房困难等子领域)与经济衰退后较差的 PSQI 和动觉仪测量的睡眠效率有关,并对社会人口协变量、经济衰退前的相应睡眠变量以及经济衰退前的慢性病进行了调整。没有证据表明种族对睡眠结果有明显的调节作用。然而,性别调节表明,女性比男性更容易受到住房困难和动觉测量睡眠效率较差的影响:研究结果表明,经济衰退带来的困难(尤其是经济和住房方面的困难)可能表现为睡眠质量差。种族和性别群体可能会对经济衰退带来的困难有不同的暴露程度和与睡眠相关的反应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Associations between Recession Hardships and Subjective and Objective Sleep Measures in the Midlife in the United States Study: Race and Gender Differences.

Objectives: This study investigates the associations of retrospective reports of Recession hardships with 10-year changes in subjective and objective indicators of sleep, and whether these associations differ by race and gender.

Methods: 501 adults (14.57% Black; 54.49% female) from the Midlife in the United States (MIDUS) study reported on the subjective Pittsburgh Sleep Quality Index (PSQI) across two waves (pre-Recession, collected 2004-2009; post-Recession, collected 2017-2022), as well as Recession hardships since 2008. A sub-sample of 201 adults (25.37% Black; 58.21% female) provided objective actigraphy-measured sleep data (total sleep time, sleep onset latency, sleep efficiency) across the two waves.

Results: Descriptive analyses revealed Black participants had higher average Recession hardships, poorer post-Recession PSQI scores, and poorer post-Recession actigraphy sleep quantity and quality compared to white participants. Females had higher average Recession hardships compared to males; and reported poorer post-Recession PSQI, but had better objective post-Recession sleep quantity and quality compared to males. Regression models showed Recession hardships (across overall events, and sub-domains of financial and housing hardships) were associated with poorer PSQI and actigraphy-measured sleep efficiency following the Recession, adjusting for sociodemographic covariates, corresponding pre-Recession sleep variables, and pre-Recession chronic conditions. There was no evidence for significant moderation by race on sleep outcomes. However, gender moderation indicated associations between housing hardships and poorer actigraphy-measured sleep efficiency were more apparent for females than for males.

Conclusions: Findings indicate that Recession hardships (particularly in financial and housing domains) may be manifested in poor sleep. Racial and gender groups may have differential exposure and sleep-related reactivity to Recession hardships.

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