Estimated Artificial Neural Network Modeling of Maximal Oxygen Uptake Based on Multistage 10-m Shuttle Run Test in Healthy Adults
DC Field | Value | Language |
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dc.contributor.author | Park, Hun-Young | - |
dc.contributor.author | Jung, Hoeryoung | - |
dc.contributor.author | Lee, Seunghun | - |
dc.contributor.author | Kim, Jeong-Weon | - |
dc.contributor.author | Cho, Hong-Lae | - |
dc.contributor.author | Nam, Sang-Seok | - |
dc.date.accessioned | 2021-09-04T02:41:05Z | - |
dc.date.available | 2021-09-04T02:41:05Z | - |
dc.date.created | 2021-08-19 | - |
dc.date.issued | 2021-08 | - |
dc.identifier.issn | 1661-7827 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/82050 | - |
dc.description.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. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | MDPI | - |
dc.relation.isPartOf | International Journal of Environmental Research and Public Health | - |
dc.title | Estimated Artificial Neural Network Modeling of Maximal Oxygen Uptake Based on Multistage 10-m Shuttle Run Test in Healthy Adults | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.wosid | 000689241200001 | - |
dc.identifier.doi | 10.3390/ijerph18168510 | - |
dc.identifier.bibliographicCitation | International Journal of Environmental Research and Public Health, v.18, no.16 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.scopusid | 2-s2.0-85112294140 | - |
dc.citation.title | International Journal of Environmental Research and Public Health | - |
dc.citation.volume | 18 | - |
dc.citation.number | 16 | - |
dc.contributor.affiliatedAuthor | Kim, Jeong-Weon | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | 10 m shuttle run test | - |
dc.subject.keywordAuthor | Artificial neural network | - |
dc.subject.keywordAuthor | Estimation model | - |
dc.subject.keywordAuthor | Graded exercise test | - |
dc.subject.keywordAuthor | Maximal oxygen uptake | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | ssci | - |
dc.description.journalRegisteredClass | scopus | - |
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