通过心率和运动传感估计自由生活状态下的能量消耗：一项双标水研究。
Estimation of Free-Living Energy Expenditure by Heart Rate and Movement Sensing: A Doubly-Labelled Water Study.
作者信息
Brage Søren, Westgate Kate, Franks Paul W, Stegle Oliver, Wright Antony, Ekelund Ulf, Wareham Nicholas J
机构信息
MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom.
MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom; Department of Clinical Sciences, Lund University, Malmö, Sweden.
出版信息
PLoS One. 2015 Sep 8;10(9):e0137206. doi: 10.1371/journal.pone.0137206. eCollection 2015.
BACKGROUND
Accurate assessment of energy expenditure (EE) is important for the study of energy balance and metabolic disorders. Combined heart rate (HR) and acceleration (ACC) sensing may increase precision of physical activity EE (PAEE) which is the most variable component of total EE (TEE).
OBJECTIVE
To evaluate estimates of EE using ACC and HR data with or without individual calibration against doubly-labelled water (DLW) estimates of EE.
DESIGN
23 women and 23 men (22-55 yrs, 48-104 kg, 8-46%body fat) underwent 45-min resting EE (REE) measurement and completed a 20-min treadmill test, an 8-min step test, and a 3-min walk test for individual calibration. ACC and HR were monitored and TEE measured over 14 days using DLW. Diet-induced thermogenesis (DIT) was calculated from food-frequency questionnaire. PAEE (TEE ÷ REE ÷ DIT) and TEE were compared to estimates from ACC and HR using bias, root mean square error (RMSE), and correlation statistics.
RESULTS
Mean(SD) measured PAEE and TEE were 66(25) kJ·day(-1)·kg(-1), and 12(2.6) MJ·day(-1), respectively. Estimated PAEE from ACC was 54(15) kJ·day(-1)·kg(-1) (p<0.001), with RMSE 24 kJ·day(-1)·kg(-1) and correlation r = 0.52. PAEE estimated from HR and ACC+HR with treadmill calibration were 67(42) and 69(25) kJ·day(-1)·kg(-1) (bias non-significant), with RMSE 34 and 20 kJ·day(-1)·kg(-1) and correlations r = 0.58 and r = 0.67, respectively. Similar results were obtained with step-calibrated and walk-calibrated models, whereas non-calibrated models were less precise (RMSE: 37 and 24 kJ·day(-1)·kg(-1), r = 0.40 and r = 0.55). TEE models also had high validity, with biases <5%, and correlations r = 0.71 (ACC), r = 0.66-0.76 (HR), and r = 0.76-0.83 (ACC+HR).
CONCLUSIONS
Both accelerometry and heart rate may be used to estimate EE in adult European men and women, with improved precision if combined and if heart rate is individually calibrated.
背景
准确评估能量消耗（EE）对于能量平衡和代谢紊乱的研究至关重要。结合心率（HR）和加速度（ACC）传感可能会提高身体活动能量消耗（PAEE）的精度，而PAEE是总能量消耗（TEE）中变化最大的组成部分。
目的
评估使用ACC和HR数据估计EE的情况，无论是否针对双标水（DLW）估计的EE进行个体校准。
设计
23名女性和23名男性（年龄22 - 55岁，体重48 - 104千克，体脂率8 - 46%）进行了45分钟的静息能量消耗（REE）测量，并完成了20分钟的跑步机测试、8分钟的台阶测试和3分钟的步行测试以进行个体校准。监测ACC和HR，并使用DLW在14天内测量TEE。根据食物频率问卷计算饮食诱导产热（DIT）。使用偏差、均方根误差（RMSE）和相关统计量将PAEE（TEE÷REE÷DIT）和TEE与ACC和HR的估计值进行比较。
结果
测量的平均（标准差）PAEE和TEE分别为66（25）kJ·天⁻¹·千克⁻¹和12（2.6）MJ·天⁻¹。ACC估计的PAEE为54（1５）kJ·天⁻¹·千克⁻¹（p<0.001），RMSE为24 kJ·天⁻¹·千克⁻¹，相关系数r = 0.52。跑步机校准后，HR和ACC + HR估计的PAEE分别为67（42）和69（25）kJ·天⁻¹·千克⁻¹（偏差不显著），RMSE分别为34和20 kJ·天⁻¹·千克⁻¹，相关系数分别为r = 0.58和r = 0.67。台阶校准和步行校准模型也得到了类似结果，而未校准模型的精度较低（RMSE：37和2４kJ·天⁻¹·千克⁻¹，r = 0.40和r = 0.55）。TEE模型也具有较高的有效性，偏差<5%，相关系数r = 0.71（ACC），r = 0.66 - 0.76（HR），以及r = 0.76 - 0.83（ACC + HR）。
结论
加速度计和心率均可用于估计成年欧洲男性和女性的EE，如果两者结合且心率进行个体校准，则精度会提高。
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