Search

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. [ABSTRACT FROM AUTHOR]

Objectives Reference values of the bioelectrical impedance vector for the Spanish child and adolescent population are needed for assessing body composition and hydration status in this population. The aim of this study is to provide reference values of the bioelectrical impedance vector in Spanish children and adolescents aged 4-18 years from Castilla y León. Methods This was a cross-sectional descriptive study conducted in 4401 Spanish healthy children and adolescents aged 4-18 years (2265 boys and 2136 girls). Resistance and reactance were measured with a single-frequency impedance analyzer at 50 kHz (tetrapolar analysis). The values of resistance and reactance normalized by height were used to plot the bivariate 50th, 75th, and 95th percentiles of the population by age group. Mean impedance vectors were compared with Hotelling's T2 test for vector analysis (differences being considered significant if p < .05). Results Tolerance ellipses were drawn for the Spanish child and adolescent population studied. The mean impedance vector showed displacement across all age groups except for (1) girls aged 12-13 years, (2) girls aged 15-18 years, and (3) boys aged 16-18 years. There were sex-related differences in the mean impedance vector in all age ranges, even in prepubertal children. Among adolescents, the patterns of the vector displacement were consistent with the timing of normal growth and development in all groups and are attributable to the maturation process. Conclusions New tolerance ellipses have been constructed for Spanish children and adolescents by sex and age. These ellipses reflect the timing of normal childhood growth and development. [ABSTRACT FROM AUTHOR]

Purpose:Conventional Bioelectrical Impedance Analysis (BIA) or Bioelectrical Impedance Vector Analysis (BIVA) can provide direct evaluations of body composition. The purpose of this study was to evaluate lean and fat mass (FM), and hydration of children involved in daily competitive sports.Methods:190 non-athletic [8.2–10.5 years] and 29 competitive children [8.0–10.5 years] were enrolled. They were evaluated: at baseline (t0), 6 months (t1) and one year (t2). Anthropometric, BIA and BIVA, lean and FM, and hydration evaluations were performed.Results:Resistance (R/h) and reactance (Xc/h) were lower att0 in competitive individuals when compared to controls. Xc/h (+3.28) significantly increases in competitive when compared to non-competitive individuals (+0.66,pfor difference: 0.011), while phase angle (PA) was lower att0 (5.72 vs. 6.17,p < .001) and after 6 months (p = .001). Total body water adjusted for height (TBW/h) significantly increased only in non-athletes (+0.50 ± 0.13,p < .001) betweent0andt1. Att1, extracellular water (ECW) significantly decreased (p = .026) in the two groups: −0.45 ± 0.19% in non-competitive, −1.63 ± 0.49% in competitive subjects, while intracellular water (ICW) increased. At one-year follow-up (t2), there were no statistically significant differences in R/h, Xc/h and PA in competitive individuals when compared to baseline andt1. Furthermore, we observed att2that hours/week of training, age, male gender and body mass index can influence FFM/h and FM/h in both competitive and non-competitive subjects. In particular, a direct correlation was for hours/week and FFM/h, inverse for hours/week and FM/h.Conclusions:Body mass index does not allow evaluating differences in lean body mass and FM between athletes and non-athletes. BIA and BIVA can give more reliable details about body composition differences in competitive adolescents and non-competitive, outlining a progressive decline in ECW and increase in ICW without affecting TBW composition of athletes. [ABSTRACT FROM PUBLISHER]