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Metabolic Costs of Standing and Walking in Healthy Military-Age Adults: A Meta-regression

LOONEY, DAVID P., POTTER, ADAM W., PRYOR, J. LUKE, BREMNER, PATRICIA E., CHALMERS, CHRISTOPHER R., MCCLUNG, HOLLY L., WELLES, ALEXANDER P., SANTEE, WILLIAM R.·2019·Medicine & Science in Sports & Exercise
DOI 10.1249/mss.0000000000001779
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Abstract

Introduction: The Load Carriage Decision Aid (LCDA) is a U.S. Army planning tool that predicts physiological responses of soldiers during different dismounted troop scenarios. We aimed to develop an equation that calculates standing and walking metabolic rates in healthy military-age adults for the LCDA using a meta-regression. Methods: We searched for studies that measured the energetic cost of standing and treadmill walking in healthy men and women via indirect calorimetry. We used mixed effects meta-regression to determine an optimal equation to calculate standing and walking metabolic rates as a function of walking speed ( S , m·s −1 ). The optimal equation was used to determine the economical speed at which the metabolic cost per distance walked is minimized. The estimation precision of the new LCDA walking equation was compared with that of seven reference predictive equations. Results: The meta-regression included 48 studies. The optimal equation for calculating normal standing and walking metabolic rates (W·kg −1 ) was 1.44 + 1.94 S 0.43 + 0.24 S 4 . The economical speed for level walking was 1.39 m·s −1 (~ 3.1 mph). The LCDA walking equation was more precise across all walking speeds (bias ± SD, 0.01 ± 0.33 W·kg −1 ) than the reference predictive equations. Conclusion: Practitioners can use the new LCDA walking equation to calculate energy expenditure during standing and walking at speeds <2 m·s −1 in healthy, military-age adults. The LCDA walking equation avoids the errors estimated by other equations at lower and higher walking speeds.

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  • The study deviated from the general practice of quantifying the accuracy of prediction for individual subjects because of the small sample sizes necessitated by the demanding field-testing protocols.

    “In this regard, we deviated from the general practice (14, 15) of quantifying the accuracy of prediction for individual subjects. We did not do so here because of the small sample sizes necessitated by our demanding field-testing protocols.”

    From Real-world walking economy: can laboratory equations predict field energy expenditure? (2021) · cites this paper as [15]

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Metadata

Authors
LOONEY, D. P., POTTER, A. W., PRYOR, J. L., BREMNER, P. E., CHALMERS, C. R., MCCLUNG, H. L., WELLES, A. P., & SANTEE, W. R.
Venue
Medicine & Science in Sports & Exercise
Publisher
Ovid Technologies (Wolters Kluwer Health)
Published
2019-02
Volume
51
Issue
2
Pages
346-351
ISSN
  • 1530-0315
  • 0195-9131
DOI
10.1249/mss.0000000000001779
Cited by
37
References
6
Language
en

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