Development and Validation of 3 Min Incremental Step-In-Place Test for Predicting Maximal Oxygen Uptake in Home Settings: A Submaximal Exercise Study to Assess Cardiorespiratory Fitness

Li, Fang; Chang, Chun-Hao; Chung, Yu-Chun; Wu, Huey-June; Kan, Nai-Wen; ChangChien, Wen-Sheng; Ho, Chin-Shan; Huang, Chi-Chang

The purpose of this research was to develop the 3 min incremental step-in-place (3MISP) test for predicting maximal oxygen uptake ([Formula: see text] O(2max)). A total of 205 adults (20–64 years) completed the 3MISP and [Formula: see text] O(2max) tests. Using age, gender, body composition (BC) including percent body fat (PBF) or body mass index (BMI), and with or without heart rate (HR) at the beginning of exercise (HR0) or difference between HR at the third minute during the exercise and the first minute post exercise (ΔHR3 − HR4) in the 3MISP test, six [Formula: see text] O(2max) prediction models were derived from multiple linear regression. Age (r = −0.239), gender (r = 0.430), BMI (r = −0.191), PBF (r = −0.706), HR0 (r = −0.516), and ΔHR3 − HR4 (r = 0.563) were significantly correlated to [Formula: see text] O(2max). Among the six [Formula: see text] O(2max) prediction models, the PBF model(∆HR3 − HR4) has the highest accuracy. The simplest models with age, gender, and PBF/BMI explained 54.5% of the [Formula: see text] O(2max) in the PBF model(BC) and 39.8% of that in the BMI model(BC). The addition of HR0 and ∆HR3 − HR4 increases the variance of [Formula: see text] O(2max) explained by the PBF and BMI models(∆HR3 − HR4) by 17.98% and 45.23%, respectively, while standard errors of estimate decrease by 10.73% and 15.61%. These data demonstrate that the models established using 3MISP-HR data can enhance the accuracy of [Formula: see text] O(2max) prediction.