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目的:采用多水平线性模型分析方法建立适用于肥胖青少年的耗氧量推算方程,为测量体力活动能量消耗提供简便有效的方法。方法:以60名11~16岁年龄段的肥胖青少年为研究对象,随机分为公式组(40名)和回代验证组(20名),男女各半。公式组在坡度为0的跑台上以2km/h、3km/h、4km/h、5km/h、6km/h、7km/h、8km/h的速度运动,每级负荷持续2.5分钟后继续增加,以心率达到80%HRmax为运动终止标准。采用气体代谢系统连续测量运动过程中耗氧量和心率,建立耗氧量多元线性回归方程,并进行回代验证。结果:所建回归方程R2男生为0.795,女生为0.75;耗氧量与负荷心率、瘦体重(LBM)具有线性关系(P<0.001);自变量系数及常数项均有极显著意义,得回归方程为男:耗氧量(ml/min)=20.098×负荷心率(bmp)+25.160×瘦体重(kg)-2935.835;女:耗氧量(ml/min)=19.863×负荷心率(bmp)+26.551×瘦体重(kg)-2675.676。回代验证组耗氧量预测值与实测值的平均相对误差男生为6.84%～8.72%,女生为6.53%～8.23%。结论:以负荷心率和瘦体重为自变量建立耗氧量的多元回归方程,可应用于肥胖青少年体力活动耗氧量的推算。
OBJECTIVE: To establish an oxygen consumption estimation equation suitable for obese adolescents by adopting a multi-level linear model analysis method, and to provide a simple and effective method for measuring the energy expenditure of physical activity. Methods: Sixty obese adolescents aged from 11 to 16 were randomly divided into formula group (40) and back verification group (20), with half male and half female. The formula group moves at the speed of 2km / h, 3km / h, 4km / h, 5km / h, 6km / h, 7km / h and 8km / h on the treadmill with 0 slope, Increase to HRmax of 80% HRmax as termination criterion. The gas metabolism system was used to measure the oxygen consumption and heart rate during exercise continuously. The multiple linear regression equation of oxygen consumption was established and verified by back-generation. Results: The R2 regression equation was 0.795 for boys and 0.75 for girls. There was a linear relationship between oxygen consumption and heart rate (LBM) and LBM (P <0.001) The equation is male: oxygen consumption (ml / min) = 20.098 × bmp + 25.160 × lean body mass in kg -2935.835; female: oxygen consumption in ml / min = 19.863 × bmp + 26.551 × lean body mass (kg) -2675.676. Back to the verification group, the average relative error between predicted and measured oxygen consumption was 6.84% ~ 8.72% for boys and 6.53% ~ 8.23% for girls. Conclusion: The multiple regression equation of oxygen consumption based on load heart rate and lean body mass as independent variables can be used to estimate the oxygen consumption of obese adolescents during physical activity.