TY - JOUR
T1 - Predicting maximal oxygen uptake from a 3-minute progressive knee-ups and step test
AU - Chung, Yu Chun
AU - Huang, C. Y.
AU - Wu, Huey June
AU - Kan, Nai Wen
AU - Ho, Chin Shan
AU - Huang, Chi Chang
AU - Chen, Hung Ting
N1 - Funding Information:
This research was supported by Research Grants from Taipei Medical University (no. TMU105-AE1-B06) and the Sports Administration, Ministry of Education, R.O.C. for the Comprehensive Research for the Industrial Technology Research Institute’s Technology Fitness Program (no. J4653H1A20). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Funding Information:
The following grant information was disclosed by the authors: Research Grants from Taipei Medical University: no. TMU105-AE1-B06. Sports Administration, Ministry of Education, R.O.C. for the Comprehensive Research for the Industrial Technology Research Institute’s Technology Fitness Program: no. J4653H1A20.
Publisher Copyright:
Copyright 2021 Chung et al.
PY - 2021/3/15
Y1 - 2021/3/15
N2 - Background. Cardiorespiratory fitness assessment is crucial for diagnosing health risks and assessing interventions. Direct measurement of maximum oxygen uptake (V O2 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. Method. The data of 166 healthy adult participants were analyzed. We conducted a V O2 max test and a subsequent 3MPKS exercise test, in a balanced order, a week later. In amultivariate regression model, sex; age; relative V O2 max; bodymass 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, R2 and standard error of estimate (SEE) were used to evaluate the accuracy of various body composition models in predicting V O2max. Results. The predicted and actual V O2 max values were significantly correlated (BF% model: R2 = 0.624, SEE = 4.982; BMI model: R2 = 0.567, SEE = 5.153). The BF% model yielded more accurate predictions, and the model predictors were sex, age, BF%, HR0, 1HR3HR0, and 1HR3HR4. Conclusion. In our study, involving Taiwanese adults, we constructed and verified a model to predict V O2 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 V O2 max and other health-related parameters.
AB - Background. Cardiorespiratory fitness assessment is crucial for diagnosing health risks and assessing interventions. Direct measurement of maximum oxygen uptake (V O2 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. Method. The data of 166 healthy adult participants were analyzed. We conducted a V O2 max test and a subsequent 3MPKS exercise test, in a balanced order, a week later. In amultivariate regression model, sex; age; relative V O2 max; bodymass 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, R2 and standard error of estimate (SEE) were used to evaluate the accuracy of various body composition models in predicting V O2max. Results. The predicted and actual V O2 max values were significantly correlated (BF% model: R2 = 0.624, SEE = 4.982; BMI model: R2 = 0.567, SEE = 5.153). The BF% model yielded more accurate predictions, and the model predictors were sex, age, BF%, HR0, 1HR3HR0, and 1HR3HR4. Conclusion. In our study, involving Taiwanese adults, we constructed and verified a model to predict V O2 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 V O2 max and other health-related parameters.
KW - 3-min Harvard step test
KW - Aerobic ability
KW - Cardiovascular function
KW - Field tests
UR - http://www.scopus.com/inward/record.url?scp=85102852904&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85102852904&partnerID=8YFLogxK
U2 - 10.7717/peerj.10831
DO - 10.7717/peerj.10831
M3 - Article
AN - SCOPUS:85102852904
SN - 2167-8359
VL - 9
JO - PeerJ
JF - PeerJ
ER -
