Comparison Of Body Composition Methods: Circumference And Bioelectrical Impedance To Dual-Energy X-Ray Absorpimetry

High-frequency (500Khz) direct segmental multifrequency bioelectrical impedance analysis (BIA) accurately calculates total water mass and body fat% (BF%), but it is unknown whether higher frequencies (1000Khz) increase measurement accuracy. PURPOSE: This study compared BIA 500Khz, BIA 1000Khz, the Department of Defense DoD Circumference Method (CM), and the reference-standard DEXA. METHODS: Participants (N=62, n=25 males, 38.8±11.4 yrs, n=37 females 43.7±15.95 yrs) were measured from a military healthcare system. BF% was estimated via DEXA, BIA 500, BIA 1000, and CM to identify the relationship between methods using Pearson Correlation, Intraclass Correlation Coefficients, and Bland Altman Plots (p <.05). RESULTS: CM BF% estimates displayed significant moderate correlations with BIA 500 (males r=.63, ICC=.76; females r=.77, ICC=.85), BIA 1000 (males r=.59, ICC=. 74; females r=.77, ICC=.85), and DEXA (males r=.62, ICC=.62; females r=.73, ICC=.82). BIA 500 BF% displayed significant strong correlations with BIA 1000 (males r=.99, ICC=.99; females r=.99, ICC=.99) and DEXA (males r=.93, ICC=.94; females r=.89, ICC=.89). Lastly, BIA 1000 BF% showed a significant strong correlation DEXA (males r=.93, ICC=.94; females r=.84, ICC=.90). Evaluating proportional bias confirmed an overall mean bias of -1.72% (CM and DEXA) in the female group, indicating the tendency of DEXA to underestimate BF% compared to CM, limits of agreement from -14.24 to 10.8. There was an upward slope of .33 as the CM BF% decreased and the DEXA BF% increased. There was agreement of BF% to 32%, but after 32%, there was more dispersion from the mean and outliers and with a significant trend for a greater difference in BF% between CM and DEXA (p<.05). CONCLUSIONS: There was proportional bias between DEXA and CM in the female group with CM underestimating BF% compared to DEXA. When compared to BIA methods, BF% estimated via CM methods do not correlate well with BF% from DEXA. However, it does not seem as though higher BIA frequencies better predict BF%.The views expressed in this abstract are those of the author(s) and do not necessarily reflect the official policy of the Department of Army, Navy, Defense, or any other agency of the U.S. Government, nor should any official endorsement be inferred by the 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.0001057172.73877.d2
Primary Topic
Body Composition Measurement Techniques
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article
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article

Comparison Of Body Composition Methods: Circumference And Bioelectrical Impedance To Dual-Energy X-Ray Absorpimetry

Travis Combest, Michael Lane, James J. Tufano, Jordan R. Moon
2 links
Medicine & Science in Sports & Exercise
Body Composition Measurement Techniques
article

Comparison Of Body Composition Methods: Circumference And Bioelectrical Impedance To Dual-Energy X-Ray Absorpimetry

Travis Combest, Michael Lane, James J. Tufano, Jordan R. Moon
article en

Abstract

High-frequency (500Khz) direct segmental multifrequency bioelectrical impedance analysis (BIA) accurately calculates total water mass and body fat% (BF%), but it is unknown whether higher frequencies (1000Khz) increase measurement accuracy. PURPOSE: This study compared BIA 500Khz, BIA 1000Khz, the Department of Defense DoD Circumference Method (CM), and the reference-standard DEXA. METHODS: Participants (N=62, n=25 males, 38.8±11.4 yrs, n=37 females 43.7±15.95 yrs) were measured from a military healthcare system. BF% was estimated via DEXA, BIA 500, BIA 1000, and CM to identify the relationship between methods using Pearson Correlation, Intraclass Correlation Coefficients, and Bland Altman Plots (p <.05). RESULTS: CM BF% estimates displayed significant moderate correlations with BIA 500 (males r=.63, ICC=.76; females r=.77, ICC=.85), BIA 1000 (males r=.59, ICC=. 74; females r=.77, ICC=.85), and DEXA (males r=.62, ICC=.62; females r=.73, ICC=.82). BIA 500 BF% displayed significant strong correlations with BIA 1000 (males r=.99, ICC=.99; females r=.99, ICC=.99) and DEXA (males r=.93, ICC=.94; females r=.89, ICC=.89). Lastly, BIA 1000 BF% showed a significant strong correlation DEXA (males r=.93, ICC=.94; females r=.84, ICC=.90). Evaluating proportional bias confirmed an overall mean bias of -1.72% (CM and DEXA) in the female group, indicating the tendency of DEXA to underestimate BF% compared to CM, limits of agreement from -14.24 to 10.8. There was an upward slope of .33 as the CM BF% decreased and the DEXA BF% increased. There was agreement of BF% to 32%, but after 32%, there was more dispersion from the mean and outliers and with a significant trend for a greater difference in BF% between CM and DEXA (p<.05). CONCLUSIONS: There was proportional bias between DEXA and CM in the female group with CM underestimating BF% compared to DEXA. When compared to BIA methods, BF% estimated via CM methods do not correlate well with BF% from DEXA. However, it does not seem as though higher BIA frequencies better predict BF%.The views expressed in this abstract are those of the author(s) and do not necessarily reflect the official policy of the Department of Army, Navy, Defense, or any other agency of the U.S. Government, nor should any official endorsement be inferred by the Department of Defense, or the U.S. Government.

Medicine & Science in Sports & ExerciseVol. 56(10S)
Concordia University Chicago (US), Walter Reed National Military Medical Center (US)
Affordable and clean energy
Openalex Percentile: Top 78%
Body Composition Measurement Techniques
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