加速度计测量的多维身体活动模式和身体功能衰退:一项前瞻性的国家队列衰老研究。

Lingjie Fan,Junhan Zhao,Jian Wang,Xin Zhou Be,Xiyue Wang,Shengyi Liu,Fengyi Wang,Quan Wei,Tao Lin
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摘要

背景:身体活动(PA)对于维持老年人的身体功能至关重要,但多维PA模式与功能衰退之间的关系尚不清楚。这项研究调查了加速度计测量的PA模式与老年人身体功能下降之间的关系。方法:我们进行了一项为期一年的前瞻性队列研究,使用了国家健康与老龄化趋势研究(2021-2022)中586名年龄≥65岁的社区居民的数据。腕带加速度计测量了四个PA维度:累积(总活动次数)、峰值(最大强度)、时间(活动和久坐的时间)和碎片化。身体功能下降被定义为随访时短物理性能电池评分的任何下降。多变量逻辑回归检验了PA维度与身体功能变化之间的关系。结果:较高的总活动计数(OR: 0.71, 95% CI: 0.59-0.85)、活动时间(OR: 0.75, 95% CI: 0.63-0.89)和最大强度(OR: 0.67, 95% CI: 0.55-0.83)与较低的功能衰退几率相关,而活动碎片化表现出相反的关系(OR: 1.23, 95% CI: 1.03-1.47)。剂量-反应分析显示连续的线性关系。与最低活动水平(第10百分位)相比,第90百分位的参与者显示出明显较低的风险:总活动计数(OR: 0.50, 95% CI: 0.29-0.88)、活动时间(OR: 0.58, 95% CI: 0.37-0.95)和最大强度(OR: 0.54, 95% CI: 0.32-0.75),而活动碎片显示出逐渐增加的风险(OR: 1.37, 95% CI: 0.83-2.21)。特定于领域的分析显示了一致的模式。结论:多维PA模式与老年人功能衰退有明显关系。研究结果支持量身定制的PA建议和有针对性的干预措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Accelerometer-Measured Multi-dimensional Physical Activity Patterns and Physical Functional Decline: A Prospective National Cohort Study of Aging.
BACKGROUND : Physical activity (PA) is crucial for maintaining physical function in older adults, but relationships between multidimensional PA patterns and functional decline remain unclear. This study examined associations between accelerometer-measured PA patterns and physical function decline in older adults. METHODS : We conducted a prospective cohort study with one-year follow-up using data from 586 community-dwelling participants aged ≥65 years in the National Health and Aging Trends Study (2021-2022). Wrist-worn accelerometers measured four PA dimensions: cumulative (total activity counts), peak (maximum intensity), temporal (active and sedentary minutes), and fragmentation. Physical function decline was defined as any decrease in Short Physical Performance Battery score at follow-up. Multivariable logistic regression examined associations between PA dimensions and physical function changes. RESULTS : Higher total activity counts (OR: 0.71, 95% CI: 0.59-0.85), minutes spent active (OR: 0.75, 95% CI: 0.63-0.89), and maximum intensity (OR: 0.67, 95% CI: 0.55-0.83) were associated with lower odds of functional decline, while activity fragmentation showed the opposite relationship (OR: 1.23, 95% CI: 1.03-1.47). Dose-response analyses demonstrated continuous linear relationships. Compared to the lowest activity levels (10th percentile), participants at the 90th percentile showed substantially lower risk: total activity counts (OR: 0.50, 95% CI: 0.29-0.88), active minutes (OR: 0.58, 95% CI: 0.37-0.95), and maximum intensity (OR: 0.54, 95% CI: 0.32-0.75), while activity fragmentation showed progressive risk increase (OR: 1.37, 95% CI: 0.83-2.21). Domain-specific analyses showed consistent patterns. CONCLUSIONS : Multidimensional PA patterns have distinct relationships with functional decline in older adults. Findings support tailored PA recommendations and potential for targeted interventions.
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