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Bioelectrical Impedance Vector Analysis and Track and Field Jump Performance Across Different Specialties: Sex Differences and Electrode Configuration

Overview
Journal Physiol Rep
Specialty Physiology
Date 2024 Sep 10
PMID 39256165
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Abstract

The assessment of athletic performance using non-invasive methods has been a significant focus in research aimed at measuring physiological parameters. This study explores the application of bioelectrical impedance vector analysis (BIVA) among track and field athletes, with a focus on sex differences, electrode configuration, and the correlation between BIVA parameters and jump performances. This cross-sectional study involved 61 Italian track and field athletes: 31 females and 30 males (age: 21.4 ± 3.8; 21.1 ± 2.6 years; stature: 166.1 ± 6.1; 180.1 ± 5.0 cm; body mass: 57.4 ± 9.7; 72.5 ± 10.5 kg, respectively). Anthropometric measurements, bioelectrical impedance analysis, and athletic jump performance were conducted. The RXc graph, two-sample Hotelling's T2 test for BIVA, and one-way ANOVA for specialty comparisons were employed. Pearson and Spearman's tests evaluated the correlations between BIVA parameters and jump performance. Differences in bioimpedance values were observed between athlete groups. Lateral asymmetries were more pronounced in females. Correlations between BIVA and jump performance also varied by sex and electrode configuration, ranging from r = -0.072, p = 0.699-r = 0.555, p = 0.001 in females, and from r = 0.204, p = 0.281-r = 0.691, p = 0.001 in males. This study highlights the utility of BIVA in providing rapid and non-invasive assessments of body composition and its relationship with jump performance, considering variations in athlete sex and electrode configuration.

Citing Articles

Bioelectrical impedance vector analysis and track and field jump performance across different specialties: Sex differences and electrode configuration.

Cebrian-Ponce A, Levi Micheli M, Politi C, Bianchi E, Carrasco-Marginet M, Izzicupo P Physiol Rep. 2024; 12(17):e70035.

PMID: 39256165 PMC: 11387112. DOI: 10.14814/phy2.70035.

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