Effects of modern military backpack loads on walking speed and cardiometabolic responses of US Army Soldiers

Looney, David P.; Doughty, Elizabeth M.; Figueiredo, Peter S.; Vangala, Sai V.; Pryor, J. Luke; Santee, William R.; McClung, Holly L.; Potter, Adam W.

doi:10.1016/j.apergo.2021.103395

Applied Ergonomics

2021

DOI: 10.1016/j.apergo.2021.103395

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Effects of modern military backpack loads on walking speed and cardiometabolic responses of US Army Soldiers

David P. Looney

Elizabeth M. Doughty

Peter S. Figueiredo

et al.

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Cited by 10 publications

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“…Predicting energy expenditure during heavy load carriage is complicated. Walking energy expenditure rises nonlinearly with increased load relative to body mass (11,12). Energy costs differ depending on whether loads are carried closer or further away from the body's center of mass (13).…”

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confidence: 99%

Modeling the Metabolic Costs of Heavy Military Backpacking

Looney

Lavoie

Vangala

et al. 2021

Medicine &Amp; Science in Sports &Amp; Exercise

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IntroductionExisting predictive equations underestimate the metabolic costs of heavy military load carriage. Metabolic costs are specific to each type of military equipment, and backpack loads often impose the most sustained burden on the dismounted warfighter.PurposeThis study aimed to develop and validate an equation for estimating metabolic rates during heavy backpacking for the US Army Load Carriage Decision Aid (LCDA), an integrated software mission planning tool.MethodsThirty healthy, active military-age adults (3 women, 27 men; age, 25 ± 7 yr; height, 1.74 ± 0.07 m; body mass, 77 ± 15 kg) walked for 6–21 min while carrying backpacks loaded up to 66% body mass at speeds between 0.45 and 1.97 m·s−1. A new predictive model, the LCDA backpacking equation, was developed on metabolic rate data calculated from indirect calorimetry. Model estimation performance was evaluated internally by k-fold cross-validation and externally against seven historical reference data sets. We tested if the 90% confidence interval of the mean paired difference was within equivalence limits equal to 10% of the measured metabolic rate. Estimation accuracy and level of agreement were also evaluated by the bias and concordance correlation coefficient (CCC), respectively.ResultsEstimates from the LCDA backpacking equation were statistically equivalent (P < 0.01) to metabolic rates measured in the current study (bias, −0.01 ± 0.62 W·kg−1; CCC, 0.965) and from the seven independent data sets (bias, −0.08 ± 0.59 W·kg−1; CCC, 0.926).ConclusionsThe newly derived LCDA backpacking equation provides close estimates of steady-state metabolic energy expenditure during heavy load carriage. These advances enable further optimization of thermal-work strain monitoring, sports nutrition, and hydration strategies.

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mentioning

confidence: 99%

Modeling the Metabolic Costs of Heavy Military Backpacking

Looney

Lavoie

Vangala

et al. 2021

Medicine &Amp; Science in Sports &Amp; Exercise

Self Cite

View full text Add to dashboard Cite

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Peak performance and cardiometabolic responses of modern US army soldiers during heavy, fatiguing vest-borne load carriage

et al. 2023

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Carrying children, groceries, and water across varying terrain: Changes in gait and comfortable walking speed

Ventura

Hodges

2023

Gait & Posture

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Effects of modern military backpack loads on walking speed and cardiometabolic responses of US Army Soldiers

Cited by 10 publications

References 26 publications

Modeling the Metabolic Costs of Heavy Military Backpacking

Modeling the Metabolic Costs of Heavy Military Backpacking

Peak performance and cardiometabolic responses of modern US army soldiers during heavy, fatiguing vest-borne load carriage

Carrying children, groceries, and water across varying terrain: Changes in gait and comfortable walking speed

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