Prediction of Maximal Oxygen Consumption in Cycle Ergometry in Competitive Cyclists
Models for predicting maximal oxygen consumption (VO<sub>2max</sub>) in average adults might not be suitable for athletes, especially for competitive cyclists who can have significantly higher VO<sub>2max</sub> than normally active people. The aim of this study was to develop...
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| Format: | Article |
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MDPI AG
2023-01-01
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| Online Access: | https://www.mdpi.com/2075-1729/13/1/160 |
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| author | Iva Jurov Janez Toplišek Marta Cvijić |
| author_facet | Iva Jurov Janez Toplišek Marta Cvijić |
| author_sort | Iva Jurov |
| collection | DOAJ |
| description | Models for predicting maximal oxygen consumption (VO<sub>2max</sub>) in average adults might not be suitable for athletes, especially for competitive cyclists who can have significantly higher VO<sub>2max</sub> than normally active people. The aim of this study was to develop a clinically applicable equation for predicting VO<sub>2max</sub> during cycle ergometry in competitive cyclists and to compare its accuracy to the traditional American College of Sports Medicine (ACSM) equation. Maximal cycle ergometry tests were performed in 496 male and 84 female competitive cyclists. Six predictors were initially used to model the prediction equation (power output, body weight, body height, fat mass, fat-free mass and age). Power output and body weight were the most important parameters in the model predicting VO<sub>2max</sub>. Three new equations were derived: for male (VO<sub>2max</sub> = 0.10 × PO − 0.60 × BW + 64.21), female cyclists (0.13 × PO − 0.83 × BW + 64.02) and the non-gender-specific formula (0.12 × PO − 0.65 × BW + 59.78). The ACSM underestimated VO<sub>2max</sub> in men by 7.32 mL/min/kg (11.54%), in women by 8.24 mL/min/kg (15.04%) and in all participants by 7.45 mL/min/kg (11.99%), compared to the new equation that underestimated VO<sub>2max</sub> in men by 0.12 mL/min/kg (0.19%) and in all participants by 0.65 mL/min/kg (1.04%). In female cyclists, the new equation had no relative bias. We recommend that medicine and sports practitioners adapt our proposed equations when working with competitive cyclists. Our findings demonstrate the need to evaluate prediction models for other athletes with a special focus on disciplines that demand high aerobic capacity. |
| first_indexed | 2024-03-09T11:56:57Z |
| format | Article |
| id | doaj.art-d325791d1d304ec69504fea6b903ebd3 |
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| issn | 2075-1729 |
| language | English |
| last_indexed | 2024-03-09T11:56:57Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Life |
| spelling | doaj.art-d325791d1d304ec69504fea6b903ebd32023-11-30T23:08:51ZengMDPI AGLife2075-17292023-01-0113116010.3390/life13010160Prediction of Maximal Oxygen Consumption in Cycle Ergometry in Competitive CyclistsIva Jurov0Janez Toplišek1Marta Cvijić2Clinical Institute of Occupational, Traffic and Sports Medicine, University Medical Centre Ljubljana, 1000 Ljubljana, SloveniaDepartment of Cardiology, University Medical Centre Ljubljana, 1000 Ljubljana, SloveniaDepartment of Cardiology, University Medical Centre Ljubljana, 1000 Ljubljana, SloveniaModels for predicting maximal oxygen consumption (VO<sub>2max</sub>) in average adults might not be suitable for athletes, especially for competitive cyclists who can have significantly higher VO<sub>2max</sub> than normally active people. The aim of this study was to develop a clinically applicable equation for predicting VO<sub>2max</sub> during cycle ergometry in competitive cyclists and to compare its accuracy to the traditional American College of Sports Medicine (ACSM) equation. Maximal cycle ergometry tests were performed in 496 male and 84 female competitive cyclists. Six predictors were initially used to model the prediction equation (power output, body weight, body height, fat mass, fat-free mass and age). Power output and body weight were the most important parameters in the model predicting VO<sub>2max</sub>. Three new equations were derived: for male (VO<sub>2max</sub> = 0.10 × PO − 0.60 × BW + 64.21), female cyclists (0.13 × PO − 0.83 × BW + 64.02) and the non-gender-specific formula (0.12 × PO − 0.65 × BW + 59.78). The ACSM underestimated VO<sub>2max</sub> in men by 7.32 mL/min/kg (11.54%), in women by 8.24 mL/min/kg (15.04%) and in all participants by 7.45 mL/min/kg (11.99%), compared to the new equation that underestimated VO<sub>2max</sub> in men by 0.12 mL/min/kg (0.19%) and in all participants by 0.65 mL/min/kg (1.04%). In female cyclists, the new equation had no relative bias. We recommend that medicine and sports practitioners adapt our proposed equations when working with competitive cyclists. Our findings demonstrate the need to evaluate prediction models for other athletes with a special focus on disciplines that demand high aerobic capacity.https://www.mdpi.com/2075-1729/13/1/160oxygen consumptionaerobic exercisephysiologyphysical performancesports medicine |
| spellingShingle | Iva Jurov Janez Toplišek Marta Cvijić Prediction of Maximal Oxygen Consumption in Cycle Ergometry in Competitive Cyclists Life oxygen consumption aerobic exercise physiology physical performance sports medicine |
| title | Prediction of Maximal Oxygen Consumption in Cycle Ergometry in Competitive Cyclists |
| title_full | Prediction of Maximal Oxygen Consumption in Cycle Ergometry in Competitive Cyclists |
| title_fullStr | Prediction of Maximal Oxygen Consumption in Cycle Ergometry in Competitive Cyclists |
| title_full_unstemmed | Prediction of Maximal Oxygen Consumption in Cycle Ergometry in Competitive Cyclists |
| title_short | Prediction of Maximal Oxygen Consumption in Cycle Ergometry in Competitive Cyclists |
| title_sort | prediction of maximal oxygen consumption in cycle ergometry in competitive cyclists |
| topic | oxygen consumption aerobic exercise physiology physical performance sports medicine |
| url | https://www.mdpi.com/2075-1729/13/1/160 |
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