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评估亨廷顿病患者能量消耗的 ActiGraph 和 Fitbit 验证。

Validation of ActiGraph and Fitbit in the assessment of energy expenditure in Huntington's disease.

机构信息

University of Burgos, Spain; Hospital Universitario de Burgos, Spain,.

VALFIS Research Group, Institute of Biomedicine (IBIOMED), Faculty of Sciences of Physical Activity and Sports. University of Leon, León, Spain.

出版信息

Gait Posture. 2024 Mar;109:89-94. doi: 10.1016/j.gaitpost.2024.01.028. Epub 2024 Jan 28.

Abstract

BACKGROUND

Consumer and research activity monitors have become popular because of their ability to quantify energy expenditure (EE) in free-living conditions. However, the accuracy of activity trackers in determining EE in people with Huntington's Disease (HD) is unknown.

RESEARCH QUESTION

Can the ActiGraph wGT3X-B or the Fitbit Charge 4 accurately measure energy expenditure during physical activity, in people with HD compared to Indirect Calorimetry (IC) (Medisoft Ergo Card)?

METHODS

We conducted a cross-sectional, observational study with fourteen participants with mild-moderate HD (mean age 55.7 ± 11.4 years). All participants wore an ActiGraph and Fitbit during an incremental test, running on a treadmill at 3.2 km/h and 5.2 km/h for three minutes at each speed. We analysed and compared the accuracy of EE estimates obtained by Fitbit and ActiGraph against the EE estimates obtained by a metabolic cart, using with Intra-class correlation (ICC), Bland-Altman analysis and correlation tests.

RESULTS

A significant correlation and a moderate reliability was found between ActiGraph and IC for the incremental test (r = 0.667)(ICC=0.633). There was a significant correlation between Fitbit and IC during the incremental test (r = 0.701), but the reliability was poor at all tested speeds in the treadmill walk. Fitbit significantly overestimated EE, and ActiGraph underestimated EE compared to IC, but ActiGraph estimates were more accurate than Fitbit in all tests.

SIGNIFICANCE

Compared to IC, Fitbit Charge 4 and ActiGraph wGT3X-BT have reduced accuracy in estimating EE at slower walking speeds. These findings highlight the need for population-specific algorithms and validation of activity trackers.

摘要

背景

由于能够在自由生活条件下量化能量消耗(EE),消费者和研究活动监测器变得流行。然而,活动追踪器在确定亨廷顿病(HD)患者 EE 方面的准确性尚不清楚。

研究问题

与间接热量法(IC)(Medisoft Ergo Card)相比,ActiGraph wGT3X-B 或 Fitbit Charge 4 能否在 HD 患者进行体力活动时准确测量能量消耗?

方法

我们进行了一项横断面、观察性研究,共有 14 名轻度至中度 HD 患者(平均年龄 55.7±11.4 岁)参加。所有参与者在跑步机上以 3.2km/h 和 5.2km/h 的速度进行三分钟的递增测试时,都佩戴了 ActiGraph 和 Fitbit。我们使用组内相关系数(ICC)、Bland-Altman 分析和相关检验分析和比较了 Fitbit 和 ActiGraph 获得的 EE 估计值与代谢箱获得的 EE 估计值之间的准确性。

结果

递增测试中,ActiGraph 与 IC 之间存在显著相关性和中度可靠性(r=0.667)(ICC=0.633)。递增测试中 Fitbit 与 IC 之间存在显著相关性(r=0.701),但在跑步机行走的所有测试速度下,可靠性都较差。与 IC 相比,Fitbit 显著高估了 EE,ActiGraph 则低估了 EE,但在所有测试中,ActiGraph 的估计值比 Fitbit 更准确。

意义

与 IC 相比,在较慢的步行速度下,Fitbit Charge 4 和 ActiGraph wGT3X-BT 估计 EE 的准确性降低。这些发现强调了需要针对特定人群的算法和活动追踪器的验证。

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