Accuracy of Metabolic Cost Predictive Equations During Military Load Carriage
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Christopher Vine [1] ; Sarah L. Coakley [3] ; Sam David Blacker [1] ; Julianne Doherty [1] ; Beverley J. Hale [1] ; Ella F. Walker [1] ; Carla A. Rue [1] ; Ben J. Lee [1] ; Tessa R. Flood [1] ; Joseph J. Knapik [4] ; Sarah Jackson [5] ; Julie P. Greeves [2] ; Stephen David Myers [1]
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[1] University of Chichester
University of Chichester
Chichester District, Reino Unido
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[2] University of East Anglia
University of East Anglia
Norwich District, Reino Unido
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[3] Faculty of Sport, Health and Applied Science, St Mary's University, Twickenham, London, United Kingdom
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[4] Fitness, Injury, and Performance Analysis, Peach Bottom, Pennsylvania, United States of America
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[5] Army Personnel Research Capability, Army HQ, Andover, United Kingdom
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- Localización: Journal of strength and conditioning research: the research journal of the NSCA, ISSN 1064-8011, Vol. 36, Nº. 5, 2022, págs. 1297-1303
- Idioma: inglés
- Texto completo no disponible (Saber más ...)
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Resumen
To quantify the accuracy of 5 equations to predict the metabolic cost of load carriage under ecologically valid military speed and load combinations. Thirty-nine male serving infantry soldiers completed thirteen 20-minute bouts of overground load carriage comprising 2 speeds (2.5 and 4.8 km[middle dot]h-1) and 6 carried equipment load combinations (25, 30, 40, 50, 60, and 70 kg), with 22 also completing a bout at 5.5 km[middle dot]h-1 carrying 40 kg. For each speed-load combination, the metabolic cost was measured using the Douglas bag technique and compared with the metabolic cost predicted from 5 equations; Givoni and Goldman, 1971 (GG), Pandolf et al. 1997 (PAN), Santee et al. 2001 (SAN), American College of Sports Medicine 2013 (ACSM), and the Minimum-Mechanics Model (MMM) by Ludlow and Weyand, 2017. Comparisons between measured and predicted metabolic cost were made using repeated-measures analysis of variance and limits of agreement. All predictive equations, except for PAN, underpredicted the metabolic cost for all speed-load combinations (p < 0.001). The PAN equation accurately predicted metabolic cost for 40 and 50 kg at 4.8 km[middle dot]h-1 (p > 0.05), underpredicted metabolic cost for all 2.5 km[middle dot]h-1 speed-load combinations as well as 25 and 30 kg at 4.8 km[middle dot]h-1, and overpredicted metabolic cost for 60 and 70 kg at 4.8 km[middle dot]h-1 (p < 0.001). Most equations (GG, SAN, ACSM, and MMM) underpredicted metabolic cost while one (PAN) accurately predicted at moderate loads and speeds, but overpredicted or underpredicted at other speed-load combinations. Our findings indicate that caution should be applied when using these predictive equations to model military load carriage tasks.
