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2022年夏季新冠疫情爆发后不久澳门居民失眠症的患病率及其与生活质量的关联:网络分析视角

Prevalence of insomnia and its association with quality of life among Macau residents shortly after the summer 2022 COVID-19 outbreak: A network analysis perspective.

作者信息

Chen Pan, Zhang Ling, Sha Sha, Lam Mei Ieng, Lok Ka-In, Chow Ines Hang Iao, Si Tong Leong, Su Zhaohui, Cheung Teris, Feng Yuan, Jackson Todd, Xiang Yu-Tao

机构信息

Unit of Psychiatry, Department of Public Health and Medicinal Administration, and Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao, Macao SAR, China.

Centre for Cognitive and Brain Sciences, University of Macau, Macao, Macao SAR, China.

出版信息

Front Psychiatry. 2023 Feb 16;14:1113122. doi: 10.3389/fpsyt.2023.1113122. eCollection 2023.

Abstract

BACKGROUND

The latest wave of the coronavirus disease 2019 (COVID-19) pandemic in Macau began on 18 June 2022 and was more serious than previous waves. Ensuing disruption from the wave is likely to have had a variety of negative mental health consequences for Macau residents including increased risk for insomnia. This study investigated the prevalence and correlates of insomnia among Macau residents during this wave as well as its association with quality of life (QoL) from a network analysis perspective.

METHODS

A cross-sectional study was conducted between 26 July and 9 September 2022. Univariate and multivariate analyses explored correlates of insomnia. Analysis of covariance (ANCOVA) examined the relationship between insomnia and QoL. Network analysis assessed the structure of insomnia including "Expected influence" to identify central symptoms in the network, and the flow function to identify specific symptoms that were directly associated with QoL. Network stability was examined using a case-dropping bootstrap procedure.

RESULTS

A total of 1,008 Macau residents were included in this study. The overall prevalence of insomnia was 49.0% ( = 494; 95% CI = 45.9-52.1%). A binary logistic regression analysis indicated people with insomnia were more likely to report depression (OR = 1.237; < 0.001) and anxiety symptoms (OR = 1.119; < 0.001), as well as being quarantined during the COVID-19 pandemic (OR = 1.172; = 0.034). An ANCOVA found people with insomnia had lower QoL (F = 17.45, < 0.001). "Sleep maintenance" (ISI2), "Distress caused by the sleep difficulties" (ISI7) and "Interference with daytime functioning" (ISI5) were the most central symptoms in the insomnia network model, while "Sleep dissatisfaction" (ISI4), "Interference with daytime functioning" (ISI5), and "Distress caused by the sleep difficulties" (ISI7) had the strongest negative associations with QoL.

CONCLUSION

The high prevalence of insomnia among Macau residents during the COVID-19 pandemic warrants attention. Being quarantined during the pandemic and having psychiatric problems were correlates of insomnia. Future research should target central symptoms and symptoms linked to QoL observed in our network models to improve insomnia and QoL.

摘要

背景

澳门2019冠状病毒病(COVID-19)疫情的最新一波始于2022年6月18日,比之前的几波更为严重。这波疫情造成的干扰可能给澳门居民带来了各种负面心理健康后果,包括失眠风险增加。本研究从网络分析的角度调查了这波疫情期间澳门居民失眠的患病率及其相关因素,以及失眠与生活质量(QoL)的关联。

方法

于2022年7月26日至9月9日进行了一项横断面研究。单因素和多因素分析探讨了失眠的相关因素。协方差分析(ANCOVA)检验了失眠与生活质量之间的关系。网络分析评估了失眠的结构,包括用于识别网络中核心症状的“预期影响”,以及用于识别与生活质量直接相关的特定症状的流动功能。使用案例剔除自抽样程序检验网络稳定性。

结果

本研究共纳入1008名澳门居民。失眠的总体患病率为49.0%(n = 494;95%CI = 45.9 - 52.1%)。二元逻辑回归分析表明,失眠患者更有可能报告抑郁(OR = 1.237;P < 0.001)和焦虑症状(OR = 1.119;P < 0.001),以及在COVID-19疫情期间被隔离(OR = 1.172;P = 0.034)。协方差分析发现失眠患者的生活质量较低(F = 17.45,P < 0.001)。“睡眠维持”(ISI2)、“睡眠困难引起的困扰”(ISI7)和“对日间功能的干扰”(ISI5)是失眠网络模型中最核心的症状,而“睡眠不满意”(ISI4)、“对日间功能的干扰”(ISI5)和“睡眠困难引起的困扰”(ISI7)与生活质量的负相关最强。

结论

COVID-19疫情期间澳门居民失眠的高患病率值得关注。疫情期间被隔离和有精神问题是失眠的相关因素。未来的研究应以我们网络模型中观察到的核心症状以及与生活质量相关的症状为目标,以改善失眠和生活质量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b620/9978518/9f72ec19aa8d/fpsyt-14-1113122-g001.jpg

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