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加速度计衍生的身体活动特征与老年人的身体疲劳感有关。

Profiles of Accelerometry-Derived Physical Activity Are Related to Perceived Physical Fatigability in Older Adults.

机构信息

Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA 15261, USA.

Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA 15213, USA.

出版信息

Sensors (Basel). 2021 Mar 2;21(5):1718. doi: 10.3390/s21051718.

Abstract

Physical activity (PA) is associated with greater fatigability in older adults; little is known about magnitude, shape, timing and variability of the entire 24-h rest-activity rhythm (RAR) associated with fatigability. We identified which features of the 24-h RAR pattern were independently and jointly associated with greater perceived physical fatigability (Pittsburgh Fatigability Scale, PFS, 0-50) in older adults ( = 181, 71.3 ± 6.7 years). RARs were characterized using anti-logistic extended cosine models and 4-h intervals of PA means and standard deviations across days. A K-means clustering algorithm approach identified four profiles of RAR features: "Less Active/Robust", "Earlier Risers", "More Active/Robust" and "Later RAR". Quantile regression tested associations of each RAR feature/profile on median PFS adjusted for age, sex, race, body mass index and depression symptomatology. Later rise times (up mesor; β = 1.38, = 0.01) and timing of midpoint of activity (acrophase; β = 1.29, = 0.01) were associated with higher PFS scores. Lower PA between 4 a.m. and 8 a.m. was associated with higher PFS scores (β = -4.50, = 0.03). "Less Active/Robust" (β = 6.14, = 0.01) and "Later RAR" (β = 3.53, = 0.01) patterns were associated with higher PFS scores compared to "Earlier Risers". Greater physical fatigability in older adults was associated with dampened, more variable, and later RARs. This work can guide development of interventions aimed at modifying RARs to reduce fatigability in older adults.

摘要

体力活动(PA)与老年人的疲劳感增加有关;但是,对于与疲劳感相关的整个 24 小时休息-活动节律(RAR)的幅度、形状、时间和可变性知之甚少。我们确定了 24 小时 RAR 模式的哪些特征与老年人的感知体力疲劳感(匹兹堡疲劳量表,PFS,0-50)独立和共同相关(n = 181,71.3 ± 6.7 岁)。使用反逻辑扩展余弦模型和每天 4 小时的 PA 均值和标准差来描述 RAR 模式。K-均值聚类算法方法确定了 RAR 特征的四种特征:“活动少/稳健”、“早起者”、“活动多/稳健”和“晚 RAR”。分位数回归测试了每个 RAR 特征/特征对调整年龄、性别、种族、体重指数和抑郁症状后中位数 PFS 的关联。较晚的上升时间(上升到中值;β = 1.38, = 0.01)和活动中点的时间(峰相;β = 1.29, = 0.01)与较高的 PFS 评分相关。凌晨 4 点至 8 点之间较低的 PA 与较高的 PFS 评分相关(β = -4.50, = 0.03)。与“早起者”相比,“活动少/稳健”(β = 6.14, = 0.01)和“晚 RAR”(β = 3.53, = 0.01)模式与较高的 PFS 评分相关。与老年人疲劳感增加相关的是 RAR 变平、更具可变性和延迟。这项工作可以指导开发旨在改变 RAR 以减少老年人疲劳感的干预措施。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e89/7958607/5dcd248d9a01/sensors-21-01718-g001.jpg

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