Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, USA.
Department of Family and Preventive Medicine, Rush Medical College, Chicago, Illinois, USA.
J Gerontol A Biol Sci Med Sci. 2024 Nov 1;79(11). doi: 10.1093/gerona/glae238.
Few studies have analyzed sensor-derived metrics of mobility abilities and total daily physical activity (TDPA). We tested whether sensor-derived mobility metrics and TDPA indices are independently associated with mobility disabilities.
This cohort study derived mobility abilities from a belt-worn sensor that recorded annual supervised gait testing. TDPA indices were obtained from a wrist-worn activity monitor. Mobility disability was determined by self-report and inability to perform an 8-feet walk task. Baseline associations of mobility metrics and TDPA (separately and together) were examined with logistic regressions and incident associations (average 7 years follow-up) with Cox models. Mediation analysis quantified the extent mobility metrics mediate the association of TDPA with mobility disability.
724 ambulatory older adults (mean age 82 years, 77.4% female) were studied. In separate models, mobility abilities (eg, step time variability, turning angular velocity) and TDPA were related to mobility disabilities. Examined together in a single model, mobility abilities remained associated with mobility disabilities, while TDPA was attenuated. This attenuation of TDPA could be explained by mediation analysis that showed about 50% of TDPA associations with mobility disabilities is mediated via mobility abilities (prevalent mobility disability 54%, incident mobility disability 40%, incident loss of ambulation 50%; all p's < .001).
Sensor-derived mobility metrics assess more diverse facets of mobility. These metrics mediate approximately half of the association of higher levels of daily physical activity with reduced mobility disability in older adults. Findings may inform the design of targeted interventions to reduce mobility disability in late life.
很少有研究分析过传感器衍生的移动能力和总日常体力活动 (TDPA) 的指标。我们测试了传感器衍生的移动指标和 TDPA 指数是否与移动障碍独立相关。
这项队列研究从一个佩戴在腰带上的传感器中获取移动能力,该传感器记录了每年的监督步态测试。TDPA 指数是从佩戴在手腕上的活动监测器中获得的。移动障碍是通过自我报告和无法进行 8 英尺行走任务来确定的。使用逻辑回归和 Cox 模型分别检查移动指标和 TDPA(单独和一起)的基线关联以及与移动障碍的关联(平均 7 年随访)。中介分析量化了移动指标在 TDPA 与移动障碍之间的关联中的中介作用。
724 名活动的老年人(平均年龄 82 岁,77.4%为女性)进行了研究。在单独的模型中,移动能力(例如,步时变异性、转弯角速度)和 TDPA 与移动障碍有关。在一个单一的模型中一起检查时,移动能力仍然与移动障碍有关,而 TDPA 则减弱了。通过中介分析表明,TDPA 与移动障碍的关联中约有 50%可以通过移动能力来解释,这可以解释 TDPA 的衰减,其中包括常见的移动障碍 54%、新发生的移动障碍 40%、新发生的丧失行走能力 50%(所有 p 值均<0.001)。
传感器衍生的移动指标评估了移动能力的更多不同方面。这些指标大约解释了日常体力活动水平与老年人移动障碍减少之间关联的一半。这些发现可能为设计针对老年人减少移动障碍的靶向干预措施提供信息。