Herbert Wertheim School of Public Health and Human Longevity Science, UC San Diego, La Jolla, CA.
Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA.
Med Sci Sports Exerc. 2023 Feb 1;55(2):322-332. doi: 10.1249/MSS.0000000000003033. Epub 2022 Sep 3.
Maximal oxygen uptake ( ) is the criterion measure of cardiorespiratory fitness. Lower cardiorespiratory fitness is a strong predictor of poor health outcomes, including all-cause mortality. Because testing is resource intensive, several non-exercise-based V˙O 2max prediction equations have been published. We assess these equations' ability to predict measured V˙O 2max , recalibrate these equations, and quantify the association of measured and predicted V˙O 2max with all-cause mortality.
Baltimore Longitudinal Study of Aging participants with valid V˙O 2max tests were included ( n = 1080). Using published V˙O 2max prediction equations, we calculated predicted V˙O 2max and present performance metrics before and after recalibration (deriving new regression estimates by regressing measured V˙O 2max on Baltimore Longitudinal Study of Aging covariates). Cox proportional hazards models were fit to quantify associations of measured, predicted, and recalibration-predicted values of V˙O 2max with mortality.
Mean age and V˙O 2max were 69.0 ± 10.4 yr and 21.6 ± 5.9 mL·kg -1 ·min -1 , respectively. The prediction equations yielded root mean square error values ranging from 4.2 to 20.4 mL·kg -1 ·min -1 . After recalibration, these values decreased to 3.9-4.2 mL·kg -1 ·min -1 . Adjusting for all covariates, all-cause mortality risk was 66% lower for the highest quartile of measured V˙O 2max relative to the lowest. Predicted V˙O 2max variables yielded similar estimates in unadjusted models but were not robust to adjustment.
Measured V˙O 2max is an extremely strong predictor of all-cause mortality. Several published V˙O 2max prediction equations yielded the following: 1) reasonable performance metrics relative to measured V˙O 2max especially when recalibrated, and 2) all-cause mortality hazard ratios similar to those of measured V˙O 2max , especially when recalibrated, yet 3) were not robust to adjustment for basic demographic covariates likely because these were used in the equation for predicted V˙O 2max .
最大摄氧量( )是心肺功能适应性的标准衡量指标。较低的心肺功能适应性是不良健康结果的一个强有力的预测因素,包括全因死亡率。由于测试资源密集,已经发布了几个基于非运动的 V˙O 2max 预测方程。我们评估了这些方程预测测量 V˙O 2max 的能力,重新校准了这些方程,并量化了测量和预测的 V˙O 2max 与全因死亡率之间的关联。
本研究纳入了具有有效 V˙O 2max 测试的巴尔的摩纵向衰老研究参与者( n = 1080)。使用已发表的 V˙O 2max 预测方程,我们计算了预测的 V˙O 2max,并在重新校准前后呈现了性能指标(通过将测量的 V˙O 2max 与巴尔的摩纵向衰老研究的协变量回归来得出新的回归估计)。使用 Cox 比例风险模型来量化测量、预测和重新校准预测的 V˙O 2max 值与死亡率之间的关联。
平均年龄和 V˙O 2max 分别为 69.0 ± 10.4 岁和 21.6 ± 5.9 mL·kg -1 ·min -1 。预测方程产生的均方根误差值范围为 4.2 至 20.4 mL·kg -1 ·min -1 。经过重新校准,这些值降低到 3.9-4.2 mL·kg -1 ·min -1 。在调整所有协变量后,与最低四分位的 V˙O 2max 相比,最高四分位的全因死亡率风险降低了 66%。在未调整模型中,预测的 V˙O 2max 变量得出了类似的估计,但在调整后并不稳健。
测量的 V˙O 2max 是全因死亡率的一个极其强大的预测因素。几个已发表的 V˙O 2max 预测方程产生了以下结果:1)与测量的 V˙O 2max 相比,表现出合理的性能指标,尤其是在重新校准后;2)与测量的 V˙O 2max 相似的全因死亡率风险比,尤其是在重新校准后,但 3)在调整基本人口统计学协变量后并不稳健,这可能是因为这些变量被用于预测的 V˙O 2max 方程中。