Skip Navigation LinksHome > September 2009 - Volume 23 - Issue 6 > Prediction of V̇O2max During Cycle Ergometry Based on Submax...
Journal of Strength & Conditioning Research:
doi: 10.1519/JSC.0b013e3181b45c49
Original Research

Prediction of V̇O2max During Cycle Ergometry Based on Submaximal Ventilatory Indicators

Nunes, Rodolfo Alkmim Moreira1; Vale, Rodrigo Gomes de Souza1; Simão, Roberto2; de Salles, Belmiro Freitas2; Reis, Victor Machado3; da Silva Novaes, Jefferson2; Miranda, Humberto4; Rhea, Matthew R5; Medeiros, Aldo da Cunha1

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Abstract

Nunes, RAM, Souza Vale, RG, Simão, R, de Salles, BF, Reis, VM, Silva Novaes, J, Miranda, H, Rhea, MR, and Cunha Medeiros, A. Prediction of V̇O2max during cycle ergometery based on submaximal ventilatory indicators. J Strength Cond Res 23(6): 1745-1751, 2009-There are several equations to predict maximum oxygen consumption (V̇O2max) from ergometric test variables on different ergometers. However, a similar equation using ventilatory thresholds of ergospirometry in a submaximal test on a cycle ergometer is unavailable. The aim of the present study was to assess the accuracy of V̇O2max prediction models based on indicators of submaximal effort. Accordingly, 4,640 healthy, nonathlete women ages 20 years and older volunteered to be tested on a cycle ergometer using a maximum incremental protocol. The subjects were randomly assigned to 2 groups: group A (estimation) and group B (validation). From the independent variables of weight in kilograms, the second workload threshold (WT2), and heart rate of the second threshold (HRT2), it was possible to build a multiple linear regression model to predict maximal oxygen consumption (V̇O2max = 40.302 - 0.497 [Weight] - 0.001 [HRT2] + 0.239 [WT2] in mL O2/kg/min−1; r = 0.995 and standard error of the estimate [SEE] = 0.68 mL O2/kg/min−1). The cross-validation method was used in group B with group A serving as the basis for building the model and the validation dataset. The results showed that, in healthy nonathlete women, it is possible to predict V̇O2max with a minimum of error (SEE = 1.00%) from submaximal indicators obtained in an incremental test.

© 2009 National Strength and Conditioning Association

 

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