K. G. Jebsen Center of Exercise in Medicine, Department of Circulation and Medical Imaging, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway.
Med Sci Sports Exerc. 2011 Nov;43(11):2024-30. doi: 10.1249/MSS.0b013e31821d3f6f.
Cardiorespiratory fitness is suggested to be an important marker of cardiovascular risk but is rarely evaluated in health care settings. In the present study, directly measured peak oxygen uptake (V·O 2peak) from a diverse population of 4637 healthy participants were used to develop and cross-validate a new nonexercise regression model of cardiorespiratory fitness for men and women.
Multivariable regression analysis was used to develop a nonexercise model of cardiorespiratory fitness for men and women separately with V·O 2peak as the outcome. In the final models, 2067 men (mean age = 48.8 yr) and 2193 women (mean age = 47.9 yr) were included, respectively. Cross-validation of the models was done by standard data splitting procedures with evaluation of constant error and total error of a model developed on one sample and cross-validated on another sample. Age, waist circumference, leisure time physical activity, and resting HR, successively, were the most potent predictors of V·O 2peak for both men and women. Together, 61% and 56% of variance in V·O 2peak, for men and women, respectively, were explained by the full models. SEE was 5.70 and 5.14 for the models including men and women, respectively.
The nonexercise regression model developed in the present study was fairly accurate in predicting V·O 2peak in this healthy population of men and women. The model might be generalized to other healthy populations and might be a valid tool for a rough assessment of cardiorespiratory fitness in an outpatient setting.
心肺适能被认为是心血管风险的一个重要标志物，但在医疗保健环境中很少进行评估。在本研究中，我们使用来自 4637 名健康参与者的多样化人群的直接测量峰值摄氧量（V·O 2peak）来为男性和女性开发和交叉验证心肺适能的新非运动回归模型。
我们分别使用多变量回归分析为男性和女性开发了心肺适能的非运动模型，以 V·O 2peak 作为结果。在最终模型中，分别纳入了 2067 名男性（平均年龄=48.8 岁）和 2193 名女性（平均年龄=47.9 岁）。通过标准数据分割程序对模型进行交叉验证，评估模型在一个样本上开发并在另一个样本上交叉验证的常数误差和总误差。年龄、腰围、休闲时间体力活动和静息心率依次是男性和女性 V·O 2peak 的最强预测因子。全模型分别解释了男性和女性 V·O 2peak 变异的 61%和 56%。对于包含男性和女性的模型，SEE 分别为 5.70 和 5.14。
本研究中开发的非运动回归模型在预测该健康男性和女性人群的 V·O 2peak 方面相当准确。该模型可能适用于其他健康人群，并且可能是在门诊环境中粗略评估心肺适能的有效工具。
