心率联合加速度计计数建立健身气功·五禽戏的能量消耗预测模型研究  

Research on the prediction model of energy expenditure of health Qigong Wuqinxi established by heart rate combined with accelerometer counts

作　　者：路明月 衣龙燕[1] 燕书婷 卢智慧 曹维[1] 刘晓蕾[1] 邱俊强[1,2] Lu Mingyue;Yi Longyan;Yan Shuting;Lu Zhihui;Cao Wei;Liu Xiaolei;Qiu Junqiang(Beijing Sport University,Beijing 100084,China;Beijing Sports Nutrition Engineering Research Center,Beijing 100084,China)

机构地区：[1]北京体育大学,北京100084 [2]运动营养北京市高等学校工程研究中心,北京100084

出　　处：《中国运动医学杂志》2024年第4期251-257,共7页Chinese Journal of Sports Medicine

基　　金：国家重点研发计划专项(2018YFC2000601)。

摘　　要：目的:基于心率联合不同部位加速度计计数建立健身气功·五禽戏的能量消耗(energy expenditure,EE)预测模型,为五禽戏的EE监测提供参考依据。方法:选取74名18~30岁健康大学生作为研究对象,按习练水平分为熟练组(n=39,男21、女18)和初学组(n=35,男17、女18),其中55名为建模组,19名为验证组。佩戴Polar心率表、ActiGraph-GT3X+加速度计(9个部位:腰部、两侧上臂、两侧腕部、两侧大腿和两侧踝部)和CORTEX MetaMax3B-R2便携式气体代谢仪测试习练1套五禽戏的心率(heart rate,HR)、加速度计计数[X轴、Y轴、Z轴及三轴向量幅值(vector magnitude,VM)的计数值]和EE相关指标。以气体代谢仪所测精准EE为基准,建立HR、加速度计计数或HR联合加速度计计数的线性回归模型,并分析对比不同预测模型的准确性。结果:(1)五禽戏运动EE与性别、身高、体重、肌肉量、HR相关指标和不同部位加速度计计数(腰部X轴计数值,左大腿VM值及X轴、Y轴计数值,右大腿VM值及Y轴、Z轴计数值,左脚踝VM值及Y轴计数值,右脚踝VM值及Y轴、Z轴计数值)均显著相关(P<0.05);(2)五禽戏运动EE的HR、加速度计计数和HR联合加速度计数模型的调整后R2分别为0.582、0.508、0.678(P<0.05);预测值与实测值的相关性介于0.706~0.817之间,Bland-Altman分析中每种模型仅1个误差值落在了95%置信区间外,其余均落入95%置信区间内,即模型均具有较好的拟合效果,精确度较高;(3)在不同预测模型中,HR联合加速度计计数模型的预测效果最好:EE(kcal)=-20.089+0.279×体重(kg)+0.243×ΔHR(运动HR-安静HR,次/分)+0.001×右大腿Y轴计数值+0.181×运动HR(次/分)-4.202×性别(男=0,女=1)。结论:HR联合加速度计计数建立的五禽戏运动EE预测模型效果最好,可较为准确地推算1套五禽戏运动的EE。Objective To establish the energy expenditure(EE)prediction models of health Qigong Wuqinxi based on heart rate combined with accelerometer counts in different body parts,so to provide a reference for monitoring EE of Wuqinxi.Methods Seventy-four healthy college students aged 18-30 were selected as the research objects.They were divided into a skilled group of 39(21 males and 18 females)and a primary group of 35(17 males and 18 females)according to their level of practice,with 55 in the model group and 19 in the validation group.When performing a set of Wuqinxi,all subjects were recorded heart rate(HR),accelerometer counts[the average counts of X-axis,Y-axis,Z-axis and vector magnitude(VM)],and EE-related indicators by wearing the Polar heart rate monitor,ActiGraph-GT3X+accelerometers(9 parts:waist,both arms,both wrists,both thighs,and both ankles)and CORTEX Meta Max3B-R2 portable indirect calorimeter.Based on the accurate EE measured by the gas metabolism meter,linear regression models of only HR,only accelerometer counts,or HR combined accelerometer counts were established,and their accuracy was analyzed and compared.Results The EE of Wuqinxi was significantly correlated with gender,height,weight,muscle mass,HR-related indicators,and accelerometer counts in different parts(X-axis counts of the waist,VM values of the left thigh and counts of the X-axis and Y-axis,VM values of the right thigh and the Y-axis,Z-axis count value,left ankle VM value and Y-axis count value,right ankle VM value and Y-axis,Z-axis count value)(P<0.05).Moreover,the adjusted R^(2)of the prediction model of only HR,only accelerometer counts,and the both were 0.582,0.508 and 0.678,respectively(P<0.05).The correlation between the predicted and measured values ranged between 0.706 and 0.817.According to the Bland-Altman analysis,for each model,all except one error value fell outside the 95%confidence interval.That is,all models had an excellent fiting effect and high accuracy.Among them,the combined model was of the best prediction effect:EE(k

关 键 词：健身气功·五禽戏 能量消耗 心率 加速度计 预测模型 

分 类 号：R247.4[医药卫生—中医临床基础] G852.6[医药卫生—中医学]