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Revisiting Ventilatory and Cardiovascular Predictions of Whole-Body Metabolic Rate

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LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1097/JOM.0000000000000086

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  1. Australian Postgraduate Award (Department of Innovation, Industry, Science and Research, Australia) through Defence Science and Technology Organisation (Melbourne, Australia)

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Objective: The influence of variations in exercise mode, thermal state, and load carriage on cardiac and ventilatory predictors of metabolic rate were investigated. Methods: Fifteen males were studied at rest and during whole-, upper-, and lower-body exercise (unloaded and loaded) under thermoneutral and hot conditions. Results: Ventilatory predictions were superior in thermoneutral (residual mean square error range: 0.04 to 0.17 Lmin(-1) vs 0.21 to 0.36 Lmin(-1)) and hot conditions (0.03 to 0.07 Lmin(-1) vs 0.21 to 0.24 Lmin(-1)). Predictions derived from whole- or lower-body exercise, and unloaded or loaded exercise could be interchanged without significant error. Nevertheless, a mode-specific prediction was required for upper-body work, and mild hyperthermia significantly reduced the precision of cardiac predictions. Conclusion: Ventilatory predictions were more precise, but errors from heart-rate predictions could be minimized by using thermal-state and exercise mode-specific predictions.

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