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

Fang Li, Chun-Hao Chang, Yu-Chun Chung, Huey-June Wu, Nai-Wen Kan, Wen-Sheng ChangChien, Chin-Shan Ho and Chi-Chang Huang
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Fang Li: Graduate Institute of Sports Science, National Taiwan Sport University, Taoyuan City 333325, Taiwan
Chun-Hao Chang: Graduate Institute of Sports Science, National Taiwan Sport University, Taoyuan City 333325, Taiwan
Yu-Chun Chung: Center of General Education, Taipei Medical University, Taipei 11031, Taiwan
Huey-June Wu: Department of Combat Sports and Chinese Martial Arts, Chinese Culture University, Taipei 11114, Taiwan
Nai-Wen Kan: Center of General Education, Taipei Medical University, Taipei 11031, Taiwan
Wen-Sheng ChangChien: Service Systems Technology Center, Industrial Technology Research Institute, Hsinchu 310401, Taiwan
Chin-Shan Ho: Graduate Institute of Sports Science, National Taiwan Sport University, Taoyuan City 333325, Taiwan
Chi-Chang Huang: Graduate Institute of Sports Science, National Taiwan Sport University, Taoyuan City 333325, Taiwan

IJERPH, 2021, vol. 18, issue 20, 1-13

Abstract: The purpose of this research was to develop the 3 min incremental step-in-place (3MISP) test for predicting maximal oxygen uptake ( V . O 2max ). A total of 205 adults (20–64 years) completed the 3MISP and V . 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 (?HR3 ? HR4) in the 3MISP test, six V . 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 ?HR3 ? HR4 (r = 0.563) were significantly correlated to V . O 2max . Among the six V . 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 V . 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 V . 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 V . O 2max prediction.

Keywords: cardiorespiratory fitness; maximal oxygen uptake; 3 min incremental step in place; prediction model (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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