用于估算脊髓损伤手动轮椅使用者能量消耗、久坐行为和体力活动的腕戴式消费级可穿戴设备的有效性。

IF 1.9 4区 医学 Q2 REHABILITATION
Daniel P Bailey, Imran Ahmed, Daniel L Cooper, Katherine A Finlay, Hannah M Froome, Tom E Nightingale, Lee M Romer, Vicky L Goosey-Tolfrey, Louise Ferrandino
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引用次数: 0

摘要

目的:评估消费级可穿戴设备在估算脊髓损伤(SCI)手动轮椅使用者的能量消耗、久坐行为和体力活动方面的有效性:15名患有脊髓损伤(SCI)的手动轮椅使用者(C5-L1,4名女性)完成了日常生活活动和轮椅推进活动(2-8 km-h-1)。使用消费级(z-Track)和研究级(ActiGraph GT9X)设备收集腕戴式加速度计数据。能量消耗通过间接热量计测量。线性回归用于评估每个加速度计的矢量幅度(VM)对标准任务代谢当量(MET)的预测。接受者操作特征曲线下面积(ROC-AUC)评估了 VM 在区分体力活动强度和确定加速度计切点方面的准确性:结果:z-Track 和 ActiGraph VM 对标准 MET 的标准化 β 系数为 0.791(p p -1 用于久坐行为,≥ 222 g-min-1 用于中度至剧烈运动:本研究支持使用消费级可穿戴设备测量患有 SCI 的手动轮椅使用者的久坐时间和体力活动的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Validity of a wrist-worn consumer-grade wearable for estimating energy expenditure, sedentary behaviour, and physical activity in manual wheelchair users with spinal cord injury.

Purpose: To evaluate the validity of a consumer-grade wearable for estimating energy expenditure, sedentary behaviour, and physical activity in manual wheelchair users with spinal cord injury (SCI).

Materials and methods: Fifteen manual wheelchair users with SCI (C5-L1, four female) completed activities of daily living and wheelchair propulsion (2-8 km·h-1). Wrist-worn accelerometry data were collected using consumer-grade (z-Track) and research-grade (ActiGraph GT9X) devices. Energy expenditure was measured via indirect calorimetry. Linear regression was used to evaluate the prediction of criterion metabolic equivalent of task (MET) by each accelerometer's vector magnitude (VM). Area under the receiver operating characteristic curve (ROC-AUC) evaluated the accuracy of VM for discriminating between physical activity intensities and for identifying accelerometer cut-points.

Results: Standardised β-coefficients for the association between z-Track and ActiGraph VM for criterion MET were 0.791 (p < 0.001) and 0.774 (p < 0.001), respectively. The z-Track had excellent accuracy for classifying time in sedentary behaviour (ROC-AUC = 0.95) and moderate-to-vigorous physical activity (ROC-AUC = 0.93); similar values to the ActiGraph (ROC-AUC = 0.96 and 0.88, respectively). Cut-points for the z-Track were ≤37 g·min-1 for sedentary behaviour and ≥222 g·min-1 for moderate-to-vigorous physical activity.

Conclusions: This study supports the validity of a consumer-grade wearable to measure sedentary time and physical activity in manual wheelchair users with SCI.

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来源期刊
CiteScore
5.70
自引率
13.60%
发文量
128
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