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Predicting VO[sub]2max in competitive cyclists [Elektronski vir] : is the FRIEND equation the optimal choice?Jurov, Iva ; Cvijić, Marta ; Toplišek, Janez, zdravnikPredicting VO2max in athletes is vital for determining endurance capacity, for performance monitoring, in clinical diagnostic procedures, and for disease management. This study aimed to assess the ... most suitable equation for predicting VO2max in competitive cyclists. Competitive cyclists (496 males, 84 females, Caucasian, 580 total) were included in the study from 1 January 2014 to 31 December 2019. Only subjects who were actively participating in national or international competitions and who were registered competitive cyclists and part of cycling teams at the time of the measurements were included. Subjects performed an incremental test on a cycle ergometer, and VO2max was measured as indicated by a plateau in VO2. In addition, four prediction equations (the FRIEND, Storer, Fairbarn, and Jones) were used to estimate VO2max. The predicted VO2max using the FRIEND equation was in good agreement with the measured VO2max in male and female athletes. This was reflected by a high correlation with r = 0.684 for men and r = 0.897 for women (p = 0.000), with ICC = 0.568 (95% CI 0.184, 0.752) for men and ICC = 0.881 (95% CI 0.813, 0.923) for women. Total error was 1.56 and 1.48 ml/min/kg and a minimal bias of−3.6 and −1.1 ml/min/kg (men and women, respectively). Using other equations resulted in a slight decline in agreement with the measured standard. The FRIEND equation predicted VO2max accurately with small total error, small prediction errors, and with the smallest constant error in our study cohort, indicating the potential value of using FRIEND equation also in competitive cyclists. This equation proved to have the highest accuracy both in male and female cyclists.Source: Frontiers in physiology [Elektronski vir]. - ISSN 1664-042X (Vol. 14, iss. , 2023, str. 1-7)Type of material - e-article ; adult, seriousPublish date - 2023Language - englishCOBISS.SI-ID - 147448323
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Database name | Field | Year |
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Links to authors' personal bibliographies | Links to information on researchers in the SICRIS system |
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Jurov, Iva | 50599 |
Cvijić, Marta | 39581 |
Toplišek, Janez, zdravnik | 38838 |
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