Neuromuscular Research Lab, Faculdade de Motricidade Humana, Universidade de Lisboa, Oeiras, Portugal.
CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, Oeiras, Portugal.
J Appl Physiol (1985). 2022 Feb 1;132(2):423-433. doi: 10.1152/japplphysiol.00421.2021. Epub 2021 Dec 23.
Estimations based on the available equations for predicting oxygen uptake (V̇o) from treadmill speed of locomotion are not appropriate for individuals with Down syndrome (DS). We aimed at developing prediction models for peak absolute oxygen uptake (V̇o) and peak heart rate (HR) based on retrospective data from a healthy population with and without Down syndrome (DS). A cross-sectional analysis of V̇o and HR was conducted in 196 and 187 persons with and without DS, respectively, aged from 16 to 45 yr. Nonexercise data alone versus combined with HR were used to develop equations predictive of absolute V̇o. Prediction equations for HR were also developed. Two additional samples of participants (30 with, 29 without DS) enabled model cross-validation. Relative V̇o and HR were lowest for persons with DS across all ages (∼40% and 20 beats·min, respectively). For persons with DS, V̇o predictions provided no differences compared with actual values. Predicted HR was similar to actual values in both groups of participants. Large limits of agreement were obtained for V̇o (DS: 735, non-DS: 558.2 mL·min) and HR (DS: 24.8, non-DS: 16.6 beats·min). Persons with DS exhibit low levels of V̇o and HR in all age groups included in this study. It is possible to estimate absolute V̇o in persons with DS using nonexercise variables. HR can be accurately estimated in groups of people with and without DS. Yet, because of large limits of agreement, caution is advised if using these equations for individual estimations of V̇o or HR in either population. Our data show that it is possible to estimate absolute peak oxygen uptake in persons with Down syndrome using nonexercise variables. Peak heart rate can also be accurately estimated in groups of people with and without Down syndrome. However, because of large limits of agreement, caution is advised if using these equations for individual estimations of peak oxygen uptake or peak heart rate in either population.
基于现有的预测从跑步机运动速度中获取耗氧量（V̇o）的方程，不适用于唐氏综合征（DS）患者。我们旨在根据唐氏综合征（DS）患者和非唐氏综合征（DS）患者的回顾性数据，开发预测峰值绝对摄氧量（V̇o）和峰值心率（HR）的模型。对 196 名和 187 名患有和不患有 DS 的个体进行了 V̇o 和 HR 的横断面分析，年龄为 16 至 45 岁。使用仅非运动数据与结合 HR 的数据，开发了预测绝对 V̇o 的方程。还开发了预测 HR 的方程。两个额外的参与者样本（30 名患有 DS，29 名不患有 DS）允许进行模型交叉验证。在所有年龄段，患有 DS 的个体的相对 V̇o 和 HR 最低（分别约为 40%和 20 次·min）。对于患有 DS 的个体，V̇o 的预测值与实际值没有差异。两组参与者的预测 HR 与实际值相似。对于 V̇o（DS：735，非 DS：558.2 mL·min）和 HR（DS：24.8，非 DS：16.6 次·min），获得了较大的一致性界限。在这项研究中包括的所有年龄组中，患有 DS 的个体的 V̇o 和 HR 水平均较低。使用非运动变量可以估算患有 DS 的个体的绝对 V̇o。可以准确估算患有和不患有 DS 的个体的 HR。然而，由于一致性界限较大，如果在这两个群体中使用这些方程来对个体的 V̇o 或 HR 进行个体估计，则需要谨慎。我们的数据表明，使用非运动变量可以估算唐氏综合征患者的绝对峰值摄氧量。也可以准确估算患有和不患有唐氏综合征的个体的峰值心率。然而，由于一致性界限较大，如果在这两个群体中使用这些方程来对个体的峰值摄氧量或峰值心率进行个体估计，则需要谨慎。
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