TY - JOUR
T1 - Development and validation of 3 min incremental step-in-place test for predicting maximal oxygen uptake in home settings
T2 - A submaximal exercise study to assess cardiorespiratory fitness
AU - Li, F
AU - Chang, Chun Hao
AU - Chung, Yu Chun
AU - Wu, Huey June
AU - Kan, Nai Wen
AU - Changchien, Wen Sheng
AU - Ho, Chin Shan
AU - Huang, Chi Chang
N1 - Funding Information:
Funding: This research was supported by the Sports Administration, Ministry of Education, R.O.C., for the Comprehensive Research for the Industrial Technology Research Institute’s Technology Fitness Program: no.K4653H1A20.
Publisher Copyright:
© 2021 by the author. Licensee MDPI, Basel, Switzerland.
PY - 2021/10/1
Y1 - 2021/10/1
N2 - The purpose of this research was to develop the 3 min incremental step-in-place (3MISP) test for predicting maximal oxygen uptake (V• O2max). A total of 205 adults (20–64 years) completed the 3MISP and V• O2max 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 V• O2max 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 V• O2max. Among the six V• O2max 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• O2max in the PBF modelBC and 39.8% of that in the BMI modelBC. The addition of HR0 and ∆HR3 − HR4 increases the variance of V• O2max 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• O2max prediction.
AB - The purpose of this research was to develop the 3 min incremental step-in-place (3MISP) test for predicting maximal oxygen uptake (V• O2max). A total of 205 adults (20–64 years) completed the 3MISP and V• O2max 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 V• O2max 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 V• O2max. Among the six V• O2max 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• O2max in the PBF modelBC and 39.8% of that in the BMI modelBC. The addition of HR0 and ∆HR3 − HR4 increases the variance of V• O2max 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• O2max prediction.
KW - 3 min incremental step in place
KW - Cardiorespiratory fitness
KW - Maximal oxygen uptake
KW - Prediction model
KW - Cardiorespiratory Fitness
KW - Exercise Test
KW - Oxygen
KW - Exercise
KW - Oxygen Consumption
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U2 - 10.3390/ijerph182010750
DO - 10.3390/ijerph182010750
M3 - Article
C2 - 34682494
AN - SCOPUS:85117044509
SN - 1661-7827
VL - 18
JO - International journal of environmental research and public health
JF - International journal of environmental research and public health
IS - 20
M1 - 10750
ER -