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Cited by 10Occupational Health and PerformanceCardiovascular and exercise physiologySports Performance and Training

The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.

Complex Terrain Load Carriage Energy Expenditure Estimation Using Global Positioning System Devices

POTTER, ADAM W., SANTEE, WILLIAM R., MULLEN, STEPHEN P., KARIS, ANTHONY J., BLANCHARD, LAURIE A., ROME, MAXWELL N., PITTS, KENNETH P., LOONEY, DAVID P.·2018·Medicine & Science in Sports & Exercise
DOI 10.1249/mss.0000000000001669
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Abstract

Introduction: Military load carriage can cause extreme energy expenditure (EE) that is difficult to estimate due to complex terrain grades and surfaces. Global Positioning System (GPS) devices capture rapid changes in walking speed and terrain but the delayed respiratory response to movement is problematic. We investigated the accuracy using GPS data in three different equations to estimate EE during complex terrain load carriage. Methods: Twelve active duty military personnel (age, 20 ± 3 yr; height, 174 ± 8 cm; body mass, 85 ± 13 kg) hiked a complex terrain trail on multiple visits under different external load conditions. Energy expenditure was estimated by inputting GPS data into three different equations: the Pandolf–Santee equation, a recent GPS-based equation from de Müllenheim et al.; and the Minimum Mechanics model. Minute-by-minute EE estimates were exponentially smoothed using smoothing factors between 0.05 and 0.95 and compared with mobile metabolic sensor EE measurements. Results: The Pandolf–Santee equation had no significant estimation bias (−2 ± 12 W; P = 0.89). Significant biases were detected for the de Müllenheim equation (38 ± 13 W; P = 0.004) and the Minimum Mechanics model (−101 ± 7 W; P < 0.001). Conclusions: Energy expenditure can be accurately estimated from GPS data using the Pandolf–Santee equation. Applying a basic exponential smoothing factor of 0.5 to GPS data enables more precise tracking of EE during non–steady-state exercise.

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Crossref · 10.1249/mss.0000000000001669

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35 of 35 references verified0 citation errors · 0 not checkable

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Research works printed but not linked: 1

  1. 1984, Metabolic bases of excess post-exercise oxygen consumption: a review, Med Sci Sports Exerc, 16, 29

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Metadata

Authors
POTTER, A. W., SANTEE, W. R., MULLEN, S. P., KARIS, A. J., BLANCHARD, L. A., ROME, M. N., PITTS, K. P., & LOONEY, D. P.
Affiliations
  • United States Army Research Institute of Environmental Medicine, Natick, MA;
  • U.S. Army Research Institute of Environmental Medicine (US)
Venue
Medicine & Science in Sports & Exercise
Publisher
Ovid Technologies (Wolters Kluwer Health)
Published
2018-10
Volume
50
Issue
10
Pages
2145-2149
ISSN
  • 0195-9131 (ISSN-L)
  • 1530-0315
DOI
10.1249/mss.0000000000001669
OpenAlex
W2810636502
Cited by
10
References
35
Citations by year
2026: 1 · 2025: 1 · 2024: 1 · 2021: 3 · 2020: 1 · 2019: 2 · 2018: 1
FWCI
1.63
Type
journal article
Language
en
Open access
closed
Locations
  • Medicine & Science in Sports & Exercise (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Occupational Health and Performance
  • Health Sciences › Medicine › Physiology (medical) › Cardiovascular and exercise physiology
  • Health Sciences › Medicine › Orthopedics and Sports Medicine › Sports Performance and Training
Keywords
energy expenditure estimation, GPS devices, military load carriage, complex terrain, exponential smoothing, metabolic rate, military personnel
MeSH terms
Adolescent, Energy Metabolism, Female, Humans, Male, Military Personnel, Walking, Weight-Bearing, Geographic Information Systems, Young Adult

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