Jin X I, Carithers Teresa, Loftin Mark
Health, Exercise Science and Recreation Management, University of Mississippi. University, MS, US.
Nutrition and Hospitality Management, University of Mississippi. University, MS, US.
Int J Exerc Sci. 2021 Aug 1;14(7):932-940. doi: 10.70252/PLTK5079. eCollection 2021.
The prevalence of obesity is increasing across the world. Knowledge of the actual energy expenditure (EE) of walking and running can lead to a more precise exercise prescription which may contribute to obesity reduction or avoidance. Limited research has focused on EE prediction during walking or running in Asian adults. So, the aims of this study included developing an EE prediction equation and cross-validating the equation for Asian adults.
A total of 85 Asians participated to test EE through indirect calorimetry. Linear regression analysis was employed for EE prediction, and a dependent -test and Chow statistical test were used to cross-validate the equation.
Predicting EE during walking or running, corrected for one mile, yielded the following equation: EE = 0.933 * (Body Weight) - 4.127 * Gender (M = 1, F = 2) + 44.256 (standard error of estimate, SEE = 12.1 kcal·mile). A dependent -test revealed no significant difference between measured EE (101.4 ± 4.3 kcal) and predicted EE (100.0 ± 2.8 kcal) ( = 0.546). Also, the coefficients for body weight and gender between the development prediction equation and the predicted equation in the cross-validation group were not significantly different ( = 0.365).
The cross-validation results supported the validity of our predicted equation in Asians. In a practical field setting, exercise professionals could apply this equation for assessing EE during walking or running, corrected for one mile, in normal weight (body fat percentage ≤ 22 for males, ≤ 35 for females) and overweight (body fat percentage > 22 for males, > 35 for females) Asian adults.
全球肥胖率正在上升。了解步行和跑步的实际能量消耗（EE）有助于制定更精确的运动处方，这可能有助于减少或避免肥胖。针对亚洲成年人在步行或跑步过程中的能量消耗预测的研究有限。因此，本研究的目的包括开发一个能量消耗预测方程，并对该方程在亚洲成年人中的有效性进行交叉验证。
共有85名亚洲人参与通过间接量热法测试能量消耗。采用线性回归分析预测能量消耗，并使用相依样本t检验和邹氏统计检验对方程进行交叉验证。
预测步行或跑步过程中的能量消耗（校正为每英里），得出以下方程：EE = 0.933×（体重） - 4.127×性别（男性 = 1，女性 = 2） + 44.256（估计标准误差，SEE = 12.1千卡·英里）。相依样本t检验显示，测量的能量消耗（101.4±4.3千卡）与预测的能量消耗（100.0±2.8千卡）之间无显著差异（t = 0.546）。此外，交叉验证组中开发预测方程和预测方程之间的体重和性别系数无显著差异（F = 0.365）。
交叉验证结果支持我们预测方程在亚洲人中的有效性。在实际应用中，运动专业人员可以应用这个方程来评估正常体重（男性体脂百分比≤22，女性≤35）和超重（男性体脂百分比>22，女性>35）的亚洲成年人在步行或跑步过程中（校正为每英里）的能量消耗。
