Predicting maximal oxygen uptake from a 3-minute progressive knee-ups and step test.

Autor: Chung YC; Center of General Education, Taipei Medical University, Taipei, Taiwan., Huang CY; Service Systems Technology Center, Industrial Technology Research Institute, Hsinchu, Taiwan., Wu HJ; Department of Combat Sports and Chinese Martial Arts, Chinese Culture University, Taipei, Taiwan., Kan NW; Center of General Education, Taipei Medical University, Taipei, Taiwan., Ho CS; Graduate Institute of Sports Science, National Taiwan Sport University, Taoyuan, Taiwan., Huang CC; Graduate Institute of Sports Science, National Taiwan Sport University, Taoyuan, Taiwan., Chen HT; Physical Education Office, Ming Chuan University, Taipei, Taiwan.
Jazyk: angličtina
Zdroj: PeerJ [PeerJ] 2021 Mar 15; Vol. 9, pp. e10831. Date of Electronic Publication: 2021 Mar 15 (Print Publication: 2021).
DOI: 10.7717/peerj.10831
Abstrakt: Background: Cardiorespiratory fitness assessment is crucial for diagnosing health risks and assessing interventions. Direct measurement of maximum oxygen uptake (V̇O 2 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 V̇O 2 max test and a subsequent 3MPKS exercise test, in a balanced order, a week later. In a multivariate regression model, sex; age; relative V̇O 2 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, R 2 and standard error of estimate (SEE) were used to evaluate the accuracy of various body composition models in predicting V̇O 2 max.
Results: The predicted and actual V̇O 2 max values were significantly correlated (BF% model: R 2 = 0.624, SEE = 4.982; BMI model: R 2 = 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.
Conclusion: In our study, involving Taiwanese adults, we constructed and verified a model to predict V̇O 2 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 2 max and other health-related parameters.
Competing Interests: The authors declare there are no competing interests.
(©2021 Chung et al.)
Databáze: MEDLINE
Externí odkaz: