Estimation of Whole-Body Bone Mineral Density Through Air Displacement Plethysmography in a Large Sample of Elite Athletes

Magee, MK, Fields, JB, Jagim, A, Lockard, B, Miller, A, Stroiney, D, and Jones, MT. Estimation of whole-body bone mineral density through air displacement plethysmography in a large sample of elite athletes. J Strength Cond Res 39(4): 427-432, 2025-Dual-energy x-ray absorptiometry (DXA) is used to determine bone mineral density (BMD) and body composition. Regulations and cost may limit DXA's utility in some athletic settings. Air displacement plethysmography (ADP), while able to measure body composition, does not measure BMD. The purpose was to evaluate the influence of body composition parameters obtained from ADP on BMD. Collegiate athletes (males, n = 153; females, n = 208) underwent ADP and DXA assessments. For ADP testing, the Brozek equation was used to estimate body fat percent (BF%) and fat-free mass (FFM) from body density. Dual-energy x-ray absorptiometry tests were completed to obtain BMD using the whole-body scan mode. Stepwise regression was conducted using age, body mass, height, sex, race, FFM (ADP), BF% (ADP), and sport type as independent variables. Total BMD (DXA) was the dependent variable. Accuracy and precision of the final equation were evaluated through Bland-Altman and linear regression. The final regression equation yielded an R2 of 0.691 with race, mass, BF%, age, and sport type as significant predictors ( p < 0.05) of BMD. Bland-Altman and linear regression showed systematic {95% confidence interval [CI] (-0.619 to -0.360)} and proportional bias (95% CI [0.173-0.374]). Although an ADP-derived regression equation may not provide a precise prediction of BMD, it may be useful to establish risk for low BMD if DXA is unavailable. Dual-energy x-ray absorptiometry may not be feasible for some athletic programs; therefore, an estimation equation for BMD derived from ADP values is advantageous for practitioners. This equation may assist in screening athletes for risk of low BMD.

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Publication Details

Journal
The Journal of Strength and Conditioning Research
Published
2024-11-26
DOI
https://doi.org/10.1519/jsc.0000000000005024
Primary Topic
Sports Performance and Training
Type
article
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article

Estimation of Whole-Body Bone Mineral Density Through Air Displacement Plethysmography in a Large Sample of Elite Athletes

Andrew R. Jagim, Debra A. Stroiney, B Lockard, Angela D. Miller et al.
The Journal of Strength and Conditioning Research
Sports Performance and Training
article

Estimation of Whole-Body Bone Mineral Density Through Air Displacement Plethysmography in a Large Sample of Elite Athletes

Andrew R. Jagim, Debra A. Stroiney, B Lockard, Angela D. Miller, Margaret T. Jones, Meghan K. Magee, Jennifer B. Fields
article en

Abstract

Magee, MK, Fields, JB, Jagim, A, Lockard, B, Miller, A, Stroiney, D, and Jones, MT. Estimation of whole-body bone mineral density through air displacement plethysmography in a large sample of elite athletes. J Strength Cond Res 39(4): 427-432, 2025-Dual-energy x-ray absorptiometry (DXA) is used to determine bone mineral density (BMD) and body composition. Regulations and cost may limit DXA's utility in some athletic settings. Air displacement plethysmography (ADP), while able to measure body composition, does not measure BMD. The purpose was to evaluate the influence of body composition parameters obtained from ADP on BMD. Collegiate athletes (males, n = 153; females, n = 208) underwent ADP and DXA assessments. For ADP testing, the Brozek equation was used to estimate body fat percent (BF%) and fat-free mass (FFM) from body density. Dual-energy x-ray absorptiometry tests were completed to obtain BMD using the whole-body scan mode. Stepwise regression was conducted using age, body mass, height, sex, race, FFM (ADP), BF% (ADP), and sport type as independent variables. Total BMD (DXA) was the dependent variable. Accuracy and precision of the final equation were evaluated through Bland-Altman and linear regression. The final regression equation yielded an R2 of 0.691 with race, mass, BF%, age, and sport type as significant predictors ( p < 0.05) of BMD. Bland-Altman and linear regression showed systematic {95% confidence interval [CI] (-0.619 to -0.360)} and proportional bias (95% CI [0.173-0.374]). Although an ADP-derived regression equation may not provide a precise prediction of BMD, it may be useful to establish risk for low BMD if DXA is unavailable. Dual-energy x-ray absorptiometry may not be feasible for some athletic programs; therefore, an estimation equation for BMD derived from ADP values is advantageous for practitioners. This equation may assist in screening athletes for risk of low BMD.

The Journal of Strength and Conditioning ResearchVol. 39(4)
University of Connecticut (US), Kent State University (US), George Mason University (US), Mayo Clinic Health System (US), University of the Incarnate Word (US)
Openalex Percentile: Top 71%
Sports Performance and Training
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