Estimated Artificial Neural Network Modeling of Maximal Oxygen Uptake Based on Multistage 10-m Shuttle Run Test in Healthy Adults
- Authors
- Park, Hun-Young; Jung, Hoeryoung; Lee, Seunghun; Kim, Jeong-Weon; Cho, Hong-Lae; Nam, Sang-Seok
- Issue Date
- Aug-2021
- Publisher
- MDPI
- Keywords
- 10 m shuttle run test; Artificial neural network; Estimation model; Graded exercise test; Maximal oxygen uptake
- Citation
- International Journal of Environmental Research and Public Health, v.18, no.16
- Journal Title
- International Journal of Environmental Research and Public Health
- Volume
- 18
- Number
- 16
- URI
- https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/82050
- DOI
- 10.3390/ijerph18168510
- ISSN
- 1661-7827
- Abstract
- We aimed to develop an artificial neural network (ANN) model to estimate the maximal oxygen uptake (VO2max) based on a multistage 10 m shuttle run test (SRT) in healthy adults. For ANN-based VO2max estimation, 118 healthy Korean adults (59 men and 59 women) in their twenties and fifties (38.3 ± 11.8 years, men aged 37.8 ± 12.1 years, and women aged 38.8 ± 11.6 years) participated in this study; data included age, sex, blood pressure (systolic blood pressure (SBP), diastolic blood pressure (DBP)), waist circumference, hip circumference, waist-to-hip ratio (WHR), body composition (weight, height, body mass index (BMI), percent skeletal muscle, and percent body), 10 m SRT parameters (number of round trips and final speed), and VO2max by graded exercise test (GXT) using a treadmill. The best estimation results (R2 = 0.8206, adjusted R2 = 0.7010, root mean square error; RMSE = 3.1301) were obtained in case 3 (using age, sex, height, weight, BMI, waist circumference, hip circumference, WHR, SBP, DBP, number of round trips in 10 m SRT, and final speed in 10 m SRT), while the worst results (R2 = 0.7765, adjusted R2 = 0.7206, RMSE = 3.494) were obtained for case 1 (using age, sex, height, weight, BMI, number of round trips in 10 m SRT, and final speed in 10 m SRT). The estimation results of case 2 (using age, sex, height, weight, BMI, waist circumference, hip circumference, WHR, number of round trips in 10 m SRT, and final speed in 10 m SRT) were lower (R2 = 0.7909, adjusted R2 = 0.7072, RMSE = 3.3798) than those of case 3 and higher than those of case 1. However, all cases showed high performance (R2 ) in the estimation results. This brief report developed an ANN-based estimation model to predict the VO2max of healthy adults, and the model’s performance was confirmed to be excellent. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
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