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六分钟步行试验和体重指数预测健康男童最大摄氧量。

Prediction of Maximal Oxygen Uptake by Six-Minute Walk Test and Body Mass Index in Healthy Boys.

机构信息

Department of Physical Education and Sport Sciences, Bu-Ali Sina University, Hamedan, Iran.

Department of Physical Education and Sport Sciences, Bu-Ali Sina University, Hamedan, Iran.

出版信息

J Pediatr. 2018 Sep;200:155-159. doi: 10.1016/j.jpeds.2018.04.026. Epub 2018 May 14.

Abstract

OBJECTIVE

To develop an equation to predict maximal oxygen uptake (VO2max) based on the 6-minute walk test (6MWT) and body composition in healthy boys.

STUDY DESIGN

Direct VO2max, 6-minute walk distance, and anthropometric characteristics were measured in 349 healthy boys (12.49 ± 2.72 years). Multiple regression analysis was used to generate VO2max prediction equations. Cross-validation of the VO2max prediction equations was assessed with predicted residual sum of squares statistics. Pearson correlation was used to assess the correlation between measured and predicted VO2max.

RESULTS

Objectively measured VO2max had a significant correlation with demographic and 6MWT characteristics (R = 0.11-0.723, P < .01). Multiple regression analysis revealed the following VO2max prediction equation: VO2max (mL/kg/min) = 12.701 + (0.06 × 6-minute walk distance ) - (0.732 × body mass index) (R = 0.79, standard error of the estimate [SEE] = 2.91 mL/kg/min, %SEE = 6.9%). There was strong correlation between measured and predicted VO2max (r = 0.875, P < .001). Cross-validation revealed minimal shrinkage (Rp = 0.78 and predicted residual sum of squares SEE = 2.99 mL/kg/min).

CONCLUSIONS

This study provides a relatively accurate and convenient VO2max prediction equation based on the 6MWT and body mass index in healthy boys. This model can be used for evaluation of cardiorespiratory fitness of boys in different settings.

摘要

目的

基于 6 分钟步行试验(6MWT)和身体成分,建立预测健康男童最大摄氧量(VO2max)的方程。

研究设计

对 349 名健康男童(12.49±2.72 岁)进行直接 VO2max、6 分钟步行距离和人体测量特征的测量。采用多元回归分析生成 VO2max 预测方程。通过预测残差平方和统计数据评估 VO2max 预测方程的交叉验证。采用 Pearson 相关分析评估测量和预测 VO2max 之间的相关性。

结果

客观测量的 VO2max 与人口统计学和 6MWT 特征显著相关(R=0.11-0.723,P<0.01)。多元回归分析显示以下 VO2max 预测方程:VO2max(mL/kg/min)=12.701+(0.06×6 分钟步行距离)-(0.732×体重指数)(R=0.79,估计的标准误差[SEE]=2.91mL/kg/min,%SEE=6.9%)。测量和预测的 VO2max 之间具有很强的相关性(r=0.875,P<0.001)。交叉验证显示最小的收缩(Rp=0.78,预测残差平方和 SEE=2.99mL/kg/min)。

结论

本研究在健康男童中提供了一种基于 6MWT 和体重指数的相对准确和方便的 VO2max 预测方程。该模型可用于评估不同环境下男童的心肺适能。

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