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高觉醒在理解痴呆症患者家庭照顾者睡眠问题与情绪症状之间关联中的作用。一种网络分析方法。

The role of hyperarousal for understanding the associations between sleep problems and emotional symptoms in family caregivers of people with dementia. A network analysis approach.

作者信息

Jiménez-Gonzalo Lucía, García-Batalloso Inés, Márquez-González María, Cabrera Isabel, Olazarán Javier, Losada-Baltar Andrés

机构信息

Department of Psychology, Universidad Rey Juan Carlos, Alcorcón, Spain.

Department of Biological and Health Psychology, Universidad Autónoma de Madrid, Madrid, Spain.

出版信息

J Sleep Res. 2025 Feb;34(1):e14310. doi: 10.1111/jsr.14310. Epub 2024 Aug 15.

Abstract

Caregiving for a family member with dementia is a stressful situation that has been associated with symptoms of depression, anxiety, and insomnia. Several models have highlighted the role of hyperarousal for understanding sleep disorders; however, there is little evidence about how insomnia, depression, and anxiety are linked together. Network analysis could help to explore the mechanisms underlying the associations between these disorders. A total of 368 community-dwelling family caregivers of a person with dementia took part in the study. The depression-anxiety-sleep symptoms network was composed of 26 items using the R package qgraph to estimate and visualise the network. The results showed that the strongest symptoms in the network were shakiness, tension, restlessness, nervousness, and restless sleep. Tension was the symptom with the most predictive power, restless sleep was the most important shortcut node in the connection between other symptoms. The central stability coefficient showed adequate indices. The strength of hyperarousal symptoms suggested a prominent role of this variable. Our results invite the hypothesis that sleep problems may trigger symptoms specific to depression via fatigue or energy loss. This study is the first to examine the network structure of the associations between the symptoms of depression, anxiety, and insomnia in a sample of informal caregivers, and to explore the role of hyperarousal in this network.

摘要

照顾患有痴呆症的家庭成员是一种压力很大的情况,与抑郁、焦虑和失眠症状有关。几种模型强调了过度觉醒在理解睡眠障碍中的作用;然而,关于失眠、抑郁和焦虑如何相互关联的证据很少。网络分析有助于探索这些障碍之间关联的潜在机制。共有368名社区痴呆症患者的家庭照顾者参与了这项研究。使用R包qgraph估计并可视化网络,抑郁-焦虑-睡眠症状网络由26个项目组成。结果表明,网络中最强的症状是颤抖、紧张、坐立不安、神经质和睡眠不安。紧张是预测能力最强的症状,睡眠不安是其他症状之间联系中最重要的捷径节点。中心稳定性系数显示出适当的指标。过度觉醒症状的强度表明该变量起重要作用。我们的结果引发了这样一种假设,即睡眠问题可能通过疲劳或能量损失引发特定的抑郁症状。本研究首次在非正式照顾者样本中研究抑郁、焦虑和失眠症状之间关联的网络结构,并探讨过度觉醒在该网络中的作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0229/11744234/7ec0c9da4947/JSR-34-e14310-g001.jpg

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