Monitoring Daily Function in Persons With Transfemoral Amputations Using a Commercial Activity Monitor: A Feasibility Study
Monitoring Daily Function in Persons With Transfemoral Amputations Using a Commercial Activity Monitor: A Feasibility Study
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DOI：
10.1016/j.pmrj.2014.06.006
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发表时间：
2014-12-01
期刊：
影响因子：
2.1
通讯作者：
Jayaraman, Arun
中科院分区：
文献类型：
--
作者：
Albert, Mark V.;Deeny, Sean;Jayaraman, Arun
目的：在可行性研究中使用从流行的、面向消费者的活动监测器（Fitbit）收集的数据评估经股动脉截肢者的活动能力。设计：观察性队列研究。设置：研究医院门诊评估。参与者：9例经股动脉截肢的受试者（4名女性和5名男性，年龄21-64岁）和K3（n = 7）、K2（n = 1）和K4（n = 1）的Medicare功能评估（K水平）。使用Fitbit One活动监测仪对身体活动进行为期一周的监测。主要结果指标：每日估计步数、步行距离、爬楼层/楼梯、燃烧的卡路里和专有Fitbit活动评分。对于每一天，还报告了以下活动水平中的每一个的时间量：久坐不动，轻度活跃，相当活跃，高度活跃。结果：相当活跃的水平以上的运动时间的百分比有一个可预测的关系到指定的K水平。平均活动测量显示肥胖受试者（体重指数>30）的活动水平降低。估计的步数具有高度预测性/冗余性，估计的步行里程数没有设置个人步长。使用线性回归预测模型，热量估计被发现是高度依赖于受试者的年龄，身高和体重，而专有的活动评分是独立的所有3人口factors.Conclusions：这项可行性研究表明，Fitbit活动监测估计活动的受试者与经股动脉截肢，产生的结果，与他们的K级功能活动分类。Fitbit活动评分与年龄，体重和身高的个体差异无关，与此小样本量的估计卡路里相比。这些工具可以提供有用的见解假肢使用在家里的环境。
Objective: To assess in a feasibility study the mobility of persons with transfemoral amputations using data collected from a popular, consumer-oriented activity monitor (Fitbit).Design: Observational cohort study.Setting: Research hospital outpatient evaluation.Participants: Nine subjects with transfemoral amputations (4 women and 5 men, ages 21-64 years) and Medicare functional assessments (K level) of K3 (n = 7), K2 (n = 1), and K4 (n = 1).Methods: One-week monitoring of physical activity using the Fitbit One activity monitor.Main Outcome Measures: Daily estimates of step counts, distance walked, floors/stairs climbed, calories burned, and proprietary Fitbit activity scores. For each day, the amount of time in each of the following levels of activity was also reported: sedentary, lightly active, fairly active, and highly active.Results: The percentage of movement time above the fairly active level had a predictable relationship to the designated K level. The average activity measures show decreased levels of activity for obese subjects (body mass index >30). Estimated step counts were highly predictive/redundant with estimated miles walked without setting individual stride lengths. Using linear regression prediction models, calorie estimates were found to be highly dependent on subject age, height, and weight, whereas the proprietary activity score was independent of all 3 demographic factors.Conclusions: This feasibility study demonstrates that the Fitbit activity monitor estimates the activity of subjects with transfemoral amputations, producing results that correlate with their K-level functional activity classifications. The Fitbit activity score is independent of individual variations in age, weight, and height compared with estimated calories for this small sample size. These tools may provide useful insights into prosthetic use in an at-home environment.