Estimated Artificial Neural Network Modeling of Maximal Oxygen Uptake Based on Multistage 10-m Shuttle Run Test in Healthy Adults

Hun-Young Park, Hoeryoung Jung, Seunghun Lee, Jeong-Weon Kim, Hong-Lae Cho and Sang-Seok Nam
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Hun-Young Park: Physical Activity and Performance Institute, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul 05029, Korea
Hoeryoung Jung: Department of Mechanical Engineering, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul 05029, Korea
Seunghun Lee: Department of Mechanical Engineering, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul 05029, Korea
Jeong-Weon Kim: Graduate School of Professional Therapy, Gachon University, 1342 Seongnam-daero, Sujeong-gu, Seongnam-si 13120, Korea
Hong-Lae Cho: Inc. Doctor Care Company, Startup Maru Nabi, 48 Buldang 14ro, Seobuk-gu, Cheonan-si 31169, Korea
Sang-Seok Nam: Taekwondo Research Institute of Kukkiwon, 32 Teheran 7-gil, Gangnam-gu, Seoul 06130, Korea

IJERPH, 2021, vol. 18, issue 16, 1-12

Abstract: We aimed to develop an artificial neural network (ANN) model to estimate the maximal oxygen uptake (VO 2 max) based on a multistage 10 m shuttle run test (SRT) in healthy adults. For ANN-based VO 2 max 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 VO 2 max by graded exercise test (GXT) using a treadmill. The best estimation results (R 2 = 0.8206, adjusted R 2 = 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 (R 2 = 0.7765, adjusted R 2 = 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 (R 2 = 0.7909, adjusted R 2 = 0.7072, RMSE = 3.3798) than those of case 3 and higher than those of case 1. However, all cases showed high performance (R 2 ) in the estimation results. This brief report developed an ANN-based estimation model to predict the VO 2 max of healthy adults, and the model’s performance was confirmed to be excellent.

Keywords: maximal oxygen uptake; artificial neural network; estimation model; 10 m shuttle run test; graded exercise test (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
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