Bradshaw Danielle I, George James D, Hyde Annette, LaMonte Michael J, Vehrs Pat R, Hager Ronald L, Yanowitz Frank G
Department of Exercise Sciences, Brigham Young University, Provo, Utah 84602, USA.
Res Q Exerc Sport. 2005 Dec;76(4):426-32. doi: 10.1080/02701367.2005.10599315.
The purpose of this study was to develop a regression equation to predict maximal oxygen uptake (VO2max) based on nonexercise (N-EX) data. All participants (N = 100), ages 18-65 years, successfully completed a maximal graded exercise test (GXT) to assess VO2max (M = 39.96 mL x kg(-1) x min(-1), SD = 9.54). The N-EX data collected just before the maximal GXT included the participant's age; gender; body mass index (BMI); perceived functional ability (PFA) to walk, jog, or run given distances; and current physical activity (PA-R) level. Multiple linear regression generated the following N-EX prediction equation (R = .93, SEE = 3.45 mL x kg(-1) x min(-1), % SEE = 8.62): VO2max (mL x kg(-1) x min(-1)) = 48.0730 + (6.1779 x gender; women = 0, men = 1) - (0. 2463 x age) - (0.6186 x BMI) + (0.7115 x PFA) + (0.6709 x PA-R). Cross validation using PRESS (predicted residual sum of squares) statistics revealed minimal shrinkage (R(p) = .91 and SEE(p) = 3.63 mL x kg(-1) x min(-1)); thus, this model should yield acceptable accuracy when applied to an independent sample of adults (ages 18-65 years) with a similar cardiorespiratory fitness level. Based on standardized beta-weights, the PFA variable (0.41) was the most effective at predicting VO2max followed by age (-0.34), gender (0.33), BMI (-0.27), and PA-R (0.16). This study provides a N-EX regression model that yields relatively accurate results and is a convenient way to predict VO2max in adult men and women.
本研究的目的是基于非运动（N-EX）数据开发一个回归方程，以预测最大摄氧量（VO2max）。所有参与者（N = 100），年龄在18至65岁之间，均成功完成了最大分级运动测试（GXT）以评估VO2max（平均值 = 39.96 mL·kg⁻¹·min⁻¹，标准差 = 9.54）。在最大GXT之前收集的N-EX数据包括参与者的年龄、性别、体重指数（BMI）、在给定距离行走、慢跑或跑步的感知功能能力（PFA）以及当前身体活动（PA-R）水平。多元线性回归得出以下N-EX预测方程（R = 0.93，标准误 = 3.45 mL·kg⁻¹·min⁻¹，标准误百分比 = 8.62）：VO2max（mL·kg⁻¹·min⁻¹）= 48.0730 +（6.1779×性别；女性 = 0，男性 = 1）-（0.2463×年龄）-（0.6186×BMI）+（0.7115×PFA）+（0.6709×PA-R）。使用PRESS（预测残差平方和）统计进行的交叉验证显示收缩最小（R(p) = 0.91，标准误(p) = 3.63 mL·kg⁻¹·min⁻¹）；因此，当应用于具有相似心肺适能水平的18至65岁成年人独立样本时，该模型应能产生可接受的准确性。基于标准化β权重，PFA变量（0.41）在预测VO2max方面最有效，其次是年龄（-0.34）、性别（0.33）、BMI（-0.27）和PA-R（0.16）。本研究提供了一个N-EX回归模型，该模型能产生相对准确的结果，是预测成年男性和女性VO2max的一种便捷方法。
