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Comparative Study
. 2020 Aug 13;19(3):577-584.
eCollection 2020 Sep.

How Length Sizes Affect Body Composition Estimation in Adolescent Athletes Using Bioelectrical Impedance

Katinka Utczás  1 , Zsófia Tróznai  1 , Gergely Pálinkás  1 , Irina Kalabiska  1 , Leonidas Petridis  1
Affiliations
Comparative Study

How Length Sizes Affect Body Composition Estimation in Adolescent Athletes Using Bioelectrical Impedance

Katinka Utczás et al. J Sports Sci Med. .

Abstract

Bioelectrical impedance analysis (BIA) is a common practice to assess body composition in athletes, however, when measuring athletes with specific body geometry, its accuracy may decrease. In this study we examined how length dimensions affect body composition estimation and we compared BIA and dual-energy X-ray absorptiometry (DXA) assessments in three sports. 738 male adolescent athletes (15.8 ± 1.4 years) from three sports (soccer, basketball, and handball) were measured. Body composition was estimated by BIA (InBody 720) and by DXA (Lunar Prodigy). Differences between the two methods were tested by Bland-Altman analysis and by paired t-test. ANOVA was used for inter-group comparisons. Pearson correlation and multivariate linear regression was used to look for the relationship between segmental lean body mass and length dimensions. BIAInBody 720 consistently underestimated percent body fat (PBF) and overestimated lean body mass (LBM) than DXA. The magnitude of the differences between the two methods varied among the examined sports. Handball (PBF = 8.3 ± 2.4 %; LBM = -5.0 ± 2.1 kg) and basketball players (PBF = 8.8 ± 2.3 %; LBM = -5.3 ± 1.8 kg) had significantly larger differences between the two methods than soccer players (PBF = 6.4 ± 2.2 %; LBM = -3.1 ± 1.4 kg). There was a negative correlation between differences in segmental LBM estimation and length sizes (trunk length, upper extremity length, lower extremity length). The highest correlation was found for lower extremity (r = -0.4). Longer lower extremity resulted in greater difference in LBM estimation. The differences between the sport disciplines are most probably attributed to body height differences. Length dimensions result in overestimation of LBM with BIA, thus body composition assessment with BIAInBody 720 needs to be carefully interpreted in athletes with extreme length sizes, especially, with basketball players.

Keywords: DXA; Young athletes; bioimpedance method; body fat; lean mass.

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Figures

Figure 1.
Figure 1.
Differences between DXA and BIA with Bland-Altman analysis in a) Percent Body Fat, b) Lean Body Mass. dotted line: mean of soccer players; twodash line: mean of handball players; dashed line: mean of basketball players.
Figure 1.
Figure 1.
Differences between DXA and BIA with Bland-Altman analysis in a) Percent Body Fat, b) Lean Body Mass. dotted line: mean of soccer players; twodash line: mean of handball players; dashed line: mean of basketball players.
Figure 2.
Figure 2.
Relationship between lower extremity length and the difference in lower extremity Lean Body Mass outcome between DXA and BIA. P97: 97th percentile.
See this image and copyright information in PMC

References

    1. Achamrah N., Colange G., Delay J., Rimbert A., Folope V., Petit A., Grigioni S., Déchelotte P., Coeffier M. (2018) Comparison of body composition assessment by DXA and BIA according to the body mass index: A retrospective study on 3655 measures. PLoS ONE 13, e0200465. - PMC - PubMed
    1. Bedogi G., Malavolti M., Severi S., Poli M., Mussi C., A.J. F., Battistini N. (2002) Accuracy of an eight-point tactile-electrode impedance method in the assessment of total body water. European Journal Clinical Nutrition 56, 1143-1148. - PubMed
    1. Bland J.M., Altman D.G. (1986) Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1, 307–310. - PubMed
    1. Bodzsár É.B., Zsákai A. (2012) Body developmental status of Hungarian children and adolescents. Hungarian National Growth Study 2003-2006. Budapest: Platin Kiadó.
    1. Demura S., Sato S., Kitabayashi T. (2004) Percentage of total body fat as estimated by three automatic bioelectrical impedance analyzers. Journal of Physiological Anthropology and Applied Human Science 23, 93-99. - PubMed

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