Chung Yu-Chun, Huang Ching-Yu, Wu Huey-June, Kan Nai-Wen, Ho Chin-Shan, Huang Chi-Chang, Chen Hung-Ting
Center of General Education, Taipei Medical University, Taipei, Taiwan.
Service Systems Technology Center, Industrial Technology Research Institute, Hsinchu, Taiwan.
PeerJ. 2021 Mar 15;9:e10831. doi: 10.7717/peerj.10831. eCollection 2021.
Cardiorespiratory fitness assessment is crucial for diagnosing health risks and assessing interventions. Direct measurement of maximum oxygen uptake (V̇O max) yields more objective and accurate results, but it is practical only in a laboratory setting. We therefore investigated whether a 3-min progressive knee-up and step (3MPKS) test can be used to estimate peak oxygen uptake in these settings.
The data of 166 healthy adult participants were analyzed. We conducted a V̇O max test and a subsequent 3MPKS exercise test, in a balanced order, a week later. In a multivariate regression model, sex; age; relative V̇O max; body mass index (BMI); body fat percentage (BF); resting heart rate (HR0); and heart rates at the beginning as well as at the first, second, third, and fourth minutes (denoted by HR0, HR1, HR2, HR3, and HR4, respectively) during a step test were used as predictors. Moreover, and standard error of estimate (SEE) were used to evaluate the accuracy of various body composition models in predicting V̇Omax.
The predicted and actual V̇O max values were significantly correlated (BF% model: = 0.624, SEE = 4.982; BMI model: = 0.567, SEE = 5.153). The BF% model yielded more accurate predictions, and the model predictors were sex, age, BF%, HR0, ΔHR3-HR0, and ΔHR3-HR4.
In our study, involving Taiwanese adults, we constructed and verified a model to predict V̇O max, which indicates cardiorespiratory fitness. This model had the predictors sex, age, body composition, and heart rate changes during a step test. Our 3MPKS test has the potential to be widely used in epidemiological research to measure V̇O max and other health-related parameters.
心肺适能评估对于诊断健康风险和评估干预措施至关重要。直接测量最大摄氧量（V̇O max）可得出更客观准确的结果，但仅适用于实验室环境。因此，我们研究了3分钟渐进式跪立和踏步（3MPKS）测试是否可用于在这些环境中估计峰值摄氧量。
分析了166名健康成年参与者的数据。我们进行了V̇O max测试，并在一周后以平衡顺序进行了后续的3MPKS运动测试。在多变量回归模型中，将性别、年龄、相对V̇O max、体重指数（BMI）、体脂百分比（BF）、静息心率（HR0）以及踏步测试开始时以及第一、第二、第三和第四分钟的心率（分别用HR0、HR1、HR2、HR3和HR4表示）用作预测变量。此外，使用估计标准误差（SEE）来评估各种身体成分模型预测V̇O max的准确性。
预测的和实际的V̇O max值显著相关（BF%模型： = 0.624，SEE = 4.982；BMI模型： = 0.567，SEE = 5.153）。BF%模型产生了更准确的预测，并且模型预测变量为性别、年龄、BF%、HR0、ΔHR3 - HR0和ΔHR3 - HR4。
在我们涉及台湾成年人的研究中，我们构建并验证了一个预测V̇O max的模型，该模型表明心肺适能。该模型的预测变量包括性别、年龄、身体成分以及踏步测试期间的心率变化。我们的3MPKS测试有潜力在流行病学研究中广泛用于测量V̇O max和其他与健康相关的参数。
