Université Clermont Auvergne, INRA, UNH, Unité de Nutrition Humaine, 63000, Clermont-Ferrand, France.
CHU Clermont Ferrand, Service Nutrition Clinique, 63003, Clermont Ferrand, France.
J Med Syst. 2017 Aug;41(8):117. doi: 10.1007/s10916-017-0763-y. Epub 2017 Jul 3.
Physical inactivity and sedentary behaviors are on the rise worldwide and contribute to the current overweight and obesity scourge. The loss of healthy life style benchmarks and the lack of the need to move make it necessary to provide feedback about physical and sedentary activities in order to promote active ways of life. The aim of this study was to develop a specific function adapted to overweight and obese people to identify four physical activity (PA) categories and to estimate the associated total energy expenditure (TEE). This function used accelerometry data collected from a smartphone to evaluate activity intensity and length, and TEE. The performance of the proposed function was estimated according to two references (Armband® and FitmatePro®) under controlled conditions (CC) for a 1.5-h scenario, and to the Armband® device in free-living conditions (FLC) over a 12-h monitoring period. The experiments were carried out with overweight and obese volunteers: 13 in CC and 27 in FLC. The evaluation differences in time spent in each category were lower than 7% in CC and 6% in FLC, in comparison to the Armband® and FitmatePro® references. The TEE mean gap in absolute value between the function and the two references was 9.3% and 11.5% in CC, and 8.5% according to Armband® in FLC.
全球范围内，身体活动不足和久坐行为呈上升趋势，这导致了当前超重和肥胖问题的泛滥。健康生活方式基准的丧失和缺乏运动的必要性使得有必要提供有关身体活动和久坐行为的反馈，以促进积极的生活方式。本研究的目的是开发一种专门适用于超重和肥胖人群的特定功能，以识别四种身体活动 (PA) 类别并估计相关的总能量消耗 (TEE)。该功能使用智能手机收集的加速度计数据来评估活动强度和时长以及 TEE。根据两种参考设备（Armband®和 FitmatePro®）在受控条件 (CC) 下（1.5 小时场景）和自由生活条件 (FLC) 下（12 小时监测期间）对所提出的功能的性能进行了估计。实验是在超重和肥胖志愿者中进行的：CC 中有 13 人，FLC 中有 27 人。与 Armband®和 FitmatePro®参考设备相比，在 CC 中，每个类别的时间评估差异小于 7%，在 FLC 中小于 6%。CC 中，功能与两个参考设备之间的 TEE 绝对值平均差距为 9.3%和 11.5%，根据 Armband®在 FLC 中为 8.5%。
