The Science Behind The Modern Army Body Composition Policy

BACKGROUND: Body composition influences both physical fitness (PF) and the risk of musculoskeletal injury (MSKI) in healthy Soldiers. Assessing the interrelationships between body fat (BF), PF and MSKI risk in a large diverse Soldier population can help inform data-driven policy for the Army. PURPOSE: To update Army BF assessment policy through use of efficient sex-specific circumference-based equations (CBE) while accounting for the relationship between BF and PF to MSKI risk in a demographically diverse and physically active Soldier population. METHODS: The study population was 1904 active-duty Soldiers (1261 M, 643 F) representing modern Army demographics by sex, race/ethnicity (R/E) and age. PF, defined as the most recent Army Combat Fitness Test (ACFT) score within 6 months of BF assessment, and history of MSKI were attained from Army records. BF was determined by dual-energy x-ray absorptiometry (%BFDXA), and by CBE using a 3-site equation (Hodgdon, %BFHE) and a single-site equation (Taylor-McClung, %BFTM). BF values for CBE were classified “Acceptable” if complying with Army %BF standards (AR 600-9). PF scores were classified as “high pass” if scores >540 and 80 points on each ACFT event. Accuracy of %BF estimation was assessed via weighted root mean squared error from the %BFDXA. Logistic regression was used to evaluate effects of BF and a high pass PF on MSKI risk. RESULTS: Both CBE methods underestimated %BF compared to %BFDXA. %BFTM underestimation (~3%) was similar across both sex and R/E compared to %BFDXA. Mean differences across sex (RMSE, M;F) were less when measured by %BFTM (4.382; 4.594) compared to %BFHE (5.886; 4.395). Both “high pass” PF individuals and those who passed the %BFTM assessment exhibited a 24.5% reduction in MSKI risk during the following 12 months. CONCLUSION: A single-site BF equation (%BFTM) is accurate across the Soldier population by sex, age and R/E. Using a “high pass” PF score threshold is a valid addition to BF assessment to mitigate MSKI risk. Disclaimer: The views expressed in this abstract are those of the authors and do not reflect the official policy of the Department of Army, Department of Defense, or the U.S. Government.

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Journal
Medicine & Science in Sports & Exercise
Published
2024-09-16
DOI
https://doi.org/10.1249/01.mss.0001055864.76990.6b
Primary Topic
Technology Assessment and Management
Type
article
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article

The Science Behind The Modern Army Body Composition Policy

Stephen A. Foulis, Barry A. Spiering, Leila A. Walker, Tyler E. Oliver et al.
Medicine & Science in Sports & Exercise
Technology Assessment and Management
article

The Science Behind The Modern Army Body Composition Policy

Stephen A. Foulis, Barry A. Spiering, Leila A. Walker, Tyler E. Oliver, P. Matthew Bartlett, Holly L. McClung, James P. McClung, Cara E. Sczuroski, Kathryn M. Taylor
article en

Abstract

BACKGROUND: Body composition influences both physical fitness (PF) and the risk of musculoskeletal injury (MSKI) in healthy Soldiers. Assessing the interrelationships between body fat (BF), PF and MSKI risk in a large diverse Soldier population can help inform data-driven policy for the Army. PURPOSE: To update Army BF assessment policy through use of efficient sex-specific circumference-based equations (CBE) while accounting for the relationship between BF and PF to MSKI risk in a demographically diverse and physically active Soldier population. METHODS: The study population was 1904 active-duty Soldiers (1261 M, 643 F) representing modern Army demographics by sex, race/ethnicity (R/E) and age. PF, defined as the most recent Army Combat Fitness Test (ACFT) score within 6 months of BF assessment, and history of MSKI were attained from Army records. BF was determined by dual-energy x-ray absorptiometry (%BFDXA), and by CBE using a 3-site equation (Hodgdon, %BFHE) and a single-site equation (Taylor-McClung, %BFTM). BF values for CBE were classified “Acceptable” if complying with Army %BF standards (AR 600-9). PF scores were classified as “high pass” if scores >540 and 80 points on each ACFT event. Accuracy of %BF estimation was assessed via weighted root mean squared error from the %BFDXA. Logistic regression was used to evaluate effects of BF and a high pass PF on MSKI risk. RESULTS: Both CBE methods underestimated %BF compared to %BFDXA. %BFTM underestimation (~3%) was similar across both sex and R/E compared to %BFDXA. Mean differences across sex (RMSE, M;F) were less when measured by %BFTM (4.382; 4.594) compared to %BFHE (5.886; 4.395). Both “high pass” PF individuals and those who passed the %BFTM assessment exhibited a 24.5% reduction in MSKI risk during the following 12 months. CONCLUSION: A single-site BF equation (%BFTM) is accurate across the Soldier population by sex, age and R/E. Using a “high pass” PF score threshold is a valid addition to BF assessment to mitigate MSKI risk. Disclaimer: The views expressed in this abstract are those of the authors and do not reflect the official policy of the Department of Army, Department of Defense, or the U.S. Government.

Medicine & Science in Sports & ExerciseVol. 56(10S)
U.S. Army Research Institute of Environmental Medicine (US)
Openalex Percentile: Top 82%
Technology Assessment and Management
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