Shenoy S, Tyagi B, Sandhu J, Sengupta D
Department of Sports Medicine and Physiotherapy, Guru Nanak Dev University, Amritsar, India.
J Sports Med Phys Fitness. 2012 Oct;52(5):465-73.
The purpose of this study was to develop a linear regression model to predict treadmill VO2max scores using non-exercise data.
In this cross sectional study, one hundred twenty college-aged participants (60 male, 60 female, mean age 22.02±2.29 years) voluntarily participated and successfully completed a maximal graded exercise test (GXT) on a motorized treadmill to assess VO2max (mean±SD; 2.05 L·min-¹±1.03 L·min-¹). The maximal treadmill GXT required participants to exercise to volitional fatigue.
Relevant non-exercise data included a mean (±SD) perceived functional ability (PFA) score, and physical activity rating (PA-R) score, body surface area (BSA) of 14.6±3.9, 2.97±1..75, 1.66±0.17, respectively. Multiple linear regression generated the following regression equation (R=0.899, R2=0.805, adjusted R2=0.799, SEE=0.426 L·min-¹): VO2max (L/min)=-1.541+1.096 (gender, 1=male, 0=female) +.081 (PFA) +1.084(BSA). Each predictor variable was statistically significant (P<0.05) with beta weights for gender, PFA, BSA, PA-R, and equal to (-0.518), (0.255), (0.228), (0.092), percent body fat (-0.003), respectively. The accuracy of the model was evaluated by conducting a cross-validation analysis (N.=18).
This study provides a N-EX regression prediction model that yields results and also provide a convenient and efficient tool that estimate VO2max in healthy college-aged participants in India.
本研究旨在建立一个线性回归模型，使用非运动数据预测跑步机最大摄氧量（VO2max）得分。
在这项横断面研究中，120名大学生（60名男性，60名女性，平均年龄22.02±2.29岁）自愿参与并成功完成了在电动跑步机上的最大分级运动测试（GXT），以评估VO2max（平均值±标准差；2.05L·min⁻¹±1.03L·min⁻¹）。最大跑步机GXT要求参与者运动至自愿疲劳。
相关非运动数据包括平均（±标准差）感知功能能力（PFA）得分、身体活动评级（PA-R）得分、体表面积（BSA），分别为14.6±3.9、2.97±1.75、1.66±0.17。多元线性回归生成了以下回归方程（R=0.899，R²=0.805，调整后R²=0.799，标准误=0.426L·min⁻¹）：VO2max（L/min）=-1.541+1.096（性别，1=男性，0=女性）+0.081（PFA）+1.084（BSA）。每个预测变量在统计学上均具有显著性（P<0.05），性别、PFA、BSA、PA-R和体脂百分比的标准化回归系数分别为（-0.518）、（0.255）、（0.228）、（0.092）、（-0.003）。通过进行交叉验证分析（N=18）评估模型的准确性。
本研究提供了一个非运动（N-EX）回归预测模型，该模型产生了结果，并且还提供了一种方便有效的工具，用于估计印度健康大学生的VO2max。
