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Updated: Sep 8, 2025

Determining the Contribution of the Energy Systems During Exercise
Published on: March 20, 2012
Metabolic cost of external work: a novel CPET parameter optimises characterisation of exercise performance in obese
Jennifer J Rayner1,2, Rebecca R Chamley1,3, Robert Barker Davies3
1Division of Cardiovascular Medicine, Radcliffe Department of Medicine, Oxford Centre for Clinical Magnetic Resonance Research, University of Oxford, Oxford, UK.
Purpose:
Both obesity and cardiorespiratory fitness are crucial determinants of symptoms and prognosis. However, interpreting the gold-standard cardiopulmonary exercise test (CPET) is complicated by increasing body size and varying body composition. We hypothesised that the 'metabolic cost of external work' (or oxygen uptake (ml/min)/workload (Watts); V̇O2/W), a body weight-independent determinant of endurance capacity, would reflect metabolic health more accurately than V̇O2 alone.
Methods:
A test cohort of 160 fit individuals underwent anthropomorphic and metabolic assessment, maximal bicycle ergometer CPET, and six-minute walk test (6MWT). V̇O2/W was calculated at VT1 and peak. The performance of V̇O2/W was validated in 62 older, less fit individuals, undergoing the same protocol. 24 obese volunteers were assigned a weight loss intervention, and the impact on V̇O2/W examined.
Results:
In both test and validation cohort, V̇O2/W at VT1 and peak correlated with 6MWT distance, more strongly than standard CPET parameters. Including V̇O2/W improved the accuracy of predicting 6MWT distance. V̇O2/W correlated with BMI, insulin sensitivity and waist-to-hip ratio. Metabolic cost falls with weight loss, in parallel to metabolic and functional improvements, in contrast to other CPET parameters.
Conclusion:
Metabolic cost is strongly associated with functional capacity and metabolic health across a range of body weight and fitness, outperforming standard CPET metrics. It is a simple measure which may improve our assessment of the extent to which exertional symptoms are determined by metabolic factors in an individual, and thereby target the most appropriate intervention to those who will benefit most.
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