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一项关于老年人自我报告的睡眠情况与未来抑郁症状的国际多队列调查。

An international multi-cohort investigation of self-reported sleep and future depressive symptoms in older adults.

作者信息

Wallace Meredith L, Oryshkewych Nina, Hoepel Sanne J W, Buysse Daniel J, Mentch Lucas, Butters Meryl A, Stone Katie L, Yaffe Kristine, Barnes Lisa L, Lim Andrew S, Ensrud Kristine E, Paudel Misti L, Luik Annemarie

机构信息

Department of Psychiatry, University of Pittsburgh, 3811 O'Hara Street, Pittsburgh, PA, 15213, USA.

Department of Statistics, University of Pittsburgh, Pittsburgh, PA, USA.

出版信息

Sci Rep. 2025 Jul 4;15(1):23918. doi: 10.1038/s41598-025-07864-z.

Abstract

Poor subjective sleep is associated with future depression in older adults, but there is limited consensus on which sleep features have the strongest associations. Moreover, composite scores incorporating multiple features may better represent sleep burden than individual sleep items. We analyzed older adults (age ≥ 60) without clinically relevant depressive symptoms from a multi-cohort United States sample (US; N = 4826) and the Netherlands' Rotterdam Study (RS; N = 3663), with the goal of identifying individual and composite sleep features that are associated with future clinically relevant depressive symptoms 3-6 years later. Sleep-related daytime symptoms (Risk Ratio [95% CI] 2.10 [1.58, 2.80] in US; 2.10 [1.40, 3.14] in RS) and difficulty falling asleep (1.87 [1.49, 2.35] in US; RS = 1.90 [1.50, 2.43] in RS) were the strongest individual sleep features. Moreover, the combination of these features was most impactful (3.32 [2.33, 4.73] in US; 3.19 [2.64, 3.86] in RS), providing the largest effect size with the fewest number of items. Future studies should assess whether screening tools incorporating these features, paired with targeted sleep treatment, could reduce rates of incident depression in older adults. Examining mechanisms underlying these associations could improve the effectiveness of sleep-related treatments in older adults.

摘要

主观睡眠质量差与老年人未来患抑郁症有关,但对于哪些睡眠特征具有最强关联,目前尚无定论。此外,综合多个特征的分数可能比单个睡眠项目更能代表睡眠负担。我们分析了来自美国多队列样本(N = 4826)和荷兰鹿特丹研究(RS;N = 3663)中无临床相关抑郁症状的老年人(年龄≥60岁),目的是确定与3至6年后未来临床相关抑郁症状相关的个体和综合睡眠特征。与睡眠相关的日间症状(美国风险比[95%置信区间]为2.10[1.58, 2.80];荷兰鹿特丹研究中为2.10[1.40, 3.14])和入睡困难(美国为1.87[1.49, 2.35];荷兰鹿特丹研究中为1.90[1.50, 2.43])是最强的个体睡眠特征。此外,这些特征的组合影响最大(美国为3.32[2.33, 4.73];荷兰鹿特丹研究中为3.19[2.64, 3.86]),以最少的项目数提供了最大的效应量。未来的研究应评估纳入这些特征的筛查工具与针对性睡眠治疗相结合是否可以降低老年人新发抑郁症的发生率。研究这些关联背后的机制可以提高老年人睡眠相关治疗的有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f1d/12227749/14209dbaf7bf/41598_2025_7864_Fig1_HTML.jpg

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