置信区间
全国健康与营养检查调查
萧条(经济学)
优势比
医学
共病
物理疗法
蒙特利尔认知评估
痴呆
老年学
精神科
内科学
人口
疾病
环境卫生
宏观经济学
经济
作者
Sarah T. Stahl,Elizabeth Skidmore,Emily Kringle,Minmei Shih,Carolyn Baum,Joy Hammel,Robert T. Krafty,Naima Covassin,Jingen Li,Stephen F. Smagula
标识
DOI:10.1016/j.apmr.2023.01.013
摘要
Abstract
Objective
To examine which 24-hour rest-activity rhythm (RAR) characteristics are associated with depression symptoms in stroke survivors. Design
Cross-sectional observational study examining associations of RAR characteristics with the presence of depression symptoms adjusting for age, sex, race, and medical comorbidity. Setting
Community setting. Participants
Stroke survivors: (1) recruited locally (N women=35, N men=28) and (2) a nationally representative probability sample (the National Health and Nutrition Examination Survey [NHANES]; N women=156, N men=124). Interventions
None. Measurements
Objective RAR characteristics derived from accelerometer recordings including activity onset/offset times and non-parametric measures of RAR strength (relative amplitude), stability (interdaily stability), and fragmentation (intradaily variability). The presence of depression symptoms was categorized using Patient Health Questionnaire scores. Results
In both samples, the only RAR characteristic associated with depression symptoms was intradaily variability (fragmentation): local sample, odds ratio=1.96 [95% confidence interval=1.05-3.63]; NHANES sample, odds ratio=1.34, [95% confidence interval=1.01-1.78]). In the NHANES sample, which included both mild and moderate/severe depression, the association between 24-hour sleep-wake fragmentation and depression symptoms was driven by moderate-to-severe cases. Conclusions
Stroke survivors with higher levels of RAR fragmentation were more likely to have depression symptoms in both samples. These findings have implications, given prior studies in general samples linking RAR fragmentation with future depression and dementia risk. Research is needed to establish the potential consequences, mechanisms, and modifiability of RAR fragmentation in stroke survivors.
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