Mobile Anthropometry in Division I Baseball Athletes: Evaluation of an Existing Application and the Development of New Equations

Haynes, H, Tinsley, GM, Swafford, SH, Compton, AT, Moore, J, Donahue, PT, and Graybeal, AJ. Mobile anthropometry in Division I baseball athletes: evaluation of an existing application and the development of new equations. J Strength Cond Res 39(4): 447-456, 2025-The purpose of this study was to evaluate the agreement between mobile application and dual-energy x-ray absorptiometry (DXA)-derived body composition parameters in a group of Division I (DI) collegiate baseball athletes and to develop new equations for this population using this mobile technique. A total of 41 (age: 20.5 ± 1.5 years; DXA %fat: 18.9 ± 4.6%) DI collegiate baseball athletes underwent body composition assessments using DXA and a mobile anthropometric application. Total and appendicular body composition estimates were produced from this mobile application using previously developed equations and evaluated against the reference (DXA) in the complete sample of athletes. Least absolute shrinkage and selection operator regressions were then used to develop new equations using the mobile application in a portion of the athletes ( n = 34) and subsequently tested in the remaining athletes ( n = 7). In the complete sample, no body composition estimate using the mobile application's existing equations ( R2 : 0.00-0.68) demonstrated equivalence with DXA, including estimates of %fat ( R2 : 0.37; root-mean-squared error [RMSE]: 3.74%), fat mass (FM), and total (appendicular lean mass [ALM]) and leg lean mass ([ALM legs ] R2 : 0.67-0.68; RMSE: 3.43-4.86 kg). In the testing sample, estimates produced from the newly developed equations demonstrated acceptable performance when compared to DXA, most notably %fat ( R2 : 0.80; RMSE: 3.66%), FM, ALM, and ALM legs ( R2 : 0.55-0.87; RMSE: 0.74-3.46 kg). Previously developed equations using mobile anthropometrics may not demonstrate acceptable agreement with DXA in DI collegiate baseball athletes, and newly developed equations specific to this group may be more suitable. Those employing these newly developed equations should use caution until further external cross-validation is performed.

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Publication Details

Journal
The Journal of Strength and Conditioning Research
Published
2024-12-24
DOI
https://doi.org/10.1519/jsc.0000000000005039
Citations
2
Primary Topic
Sports Performance and Training
Type
article
Field-Weighted Citation Impact
0.96
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article

Mobile Anthropometry in Division I Baseball Athletes: Evaluation of an Existing Application and the Development of New Equations

Grant M. Tinsley, Hunter Haynes, Paul T. Donahue, Abby T. Compton et al.
2 citations
The Journal of Strength and Conditioning Research
Sports Performance and Training
0.96
article

Mobile Anthropometry in Division I Baseball Athletes: Evaluation of an Existing Application and the Development of New Equations

Grant M. Tinsley, Hunter Haynes, Paul T. Donahue, Abby T. Compton, Austin J. Graybeal, Sydney H. Swafford, Juliana Moore
article en
2 citations

Abstract

Haynes, H, Tinsley, GM, Swafford, SH, Compton, AT, Moore, J, Donahue, PT, and Graybeal, AJ. Mobile anthropometry in Division I baseball athletes: evaluation of an existing application and the development of new equations. J Strength Cond Res 39(4): 447-456, 2025-The purpose of this study was to evaluate the agreement between mobile application and dual-energy x-ray absorptiometry (DXA)-derived body composition parameters in a group of Division I (DI) collegiate baseball athletes and to develop new equations for this population using this mobile technique. A total of 41 (age: 20.5 ± 1.5 years; DXA %fat: 18.9 ± 4.6%) DI collegiate baseball athletes underwent body composition assessments using DXA and a mobile anthropometric application. Total and appendicular body composition estimates were produced from this mobile application using previously developed equations and evaluated against the reference (DXA) in the complete sample of athletes. Least absolute shrinkage and selection operator regressions were then used to develop new equations using the mobile application in a portion of the athletes ( n = 34) and subsequently tested in the remaining athletes ( n = 7). In the complete sample, no body composition estimate using the mobile application's existing equations ( R2 : 0.00-0.68) demonstrated equivalence with DXA, including estimates of %fat ( R2 : 0.37; root-mean-squared error [RMSE]: 3.74%), fat mass (FM), and total (appendicular lean mass [ALM]) and leg lean mass ([ALM legs ] R2 : 0.67-0.68; RMSE: 3.43-4.86 kg). In the testing sample, estimates produced from the newly developed equations demonstrated acceptable performance when compared to DXA, most notably %fat ( R2 : 0.80; RMSE: 3.66%), FM, ALM, and ALM legs ( R2 : 0.55-0.87; RMSE: 0.74-3.46 kg). Previously developed equations using mobile anthropometrics may not demonstrate acceptable agreement with DXA in DI collegiate baseball athletes, and newly developed equations specific to this group may be more suitable. Those employing these newly developed equations should use caution until further external cross-validation is performed.

The Journal of Strength and Conditioning ResearchVol. 39(4)
Texas Tech University (US), University of Southern Mississippi (US)
Openalex Percentile: Top 24%
Sports Performance and Training
0.96
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