Silvia Stagi1, Alfredo Irurtia2, Joaquim Rosales Rafel3, Stefano Cabras4, Roberto Buffa5, Marta Carrasco-Marginet6, Jorge Castizo-Olier7, Elisabetta Marini8. 1. Department of Life and Environmental Sciences, University of Cagliari, Cittadella Universitaria, Monserrato, Cagliari, 09042, Italy. Electronic address: silviastagi@unica.it. 2. Department of Sports Performance, National Institute of Physical Education of Catalonia, University of Barcelona, Barcelona, Spain. 3. Faixat Body Scan Sport Department, Avinguda de L'Estadi, 12-22, Barcelona, 08038, Spain. 4. Department of Statistics, Universidad Carlos III de Madrid, Getafe, Spain. 5. Department of Life and Environmental Sciences, University of Cagliari, Cittadella Universitaria, Monserrato, Cagliari, 09042, Italy. 6. Department of Health and Applied Sciences, National Institute of Physical Education of Catalonia, University of Barcelona, Barcelona, Spain. 7. School of Health Sciences, Tecnocampus Mataró-Maresme, Pompeu Fabra University, Mataró, Spain. 8. Department of Life and Environmental Sciences, University of Cagliari, Cittadella Universitaria, Monserrato, Cagliari, 09042, Italy. Electronic address: emarini@unica.it.
Abstract
AIMS: The aim of this study was to analyse the association between specific bioelectric impedance vector analysis (BIVA) and dual-energy X-ray absorptiometry (DXA) to assess segmental body composition using DXA as the reference technique. METHODS: The sample comprised 50 young active students who practised or played different sports (25 men, age: 24.37 ± 4.79 y; 25 women, age: 24.32 ± 4.43 y) from the National Institute of Physical Education of Catalonia (INEFC). Anthropometric data (height, weight, arm, waist, and calf circumferences) and bioelectrical measurements (R, ohm; Xc, ohm) were recorded. Body composition was analysed with specific BIVA. DXA was used as the reference method to assess body composition of the whole-body, the trunk, and the limbs. The percentage of fat mass (%FMDXA) and fat-free mass index (FFMIDXA = FFM/length2) were calculated. The agreement between specific BIVA and DXA was evaluated by a depth-depth analysis, two-way ANOVA, and Pearson's correlations. RESULTS: The depth-depth analysis showed a good agreement between DXA and BIVA (F = 14.89, p < 0.001) in both sexes and all body segments. Specific vector length (Zsp; i.e. indicative of %FM) was correlated with %FMDXA in the whole body and all body segments, and the phase angle was correlated with FFMIDXA, with he trunk in women as the only exception. Specific BIVA demonstrated to balance the effect of body size on bioelectrical measurements in both whole and segmental approaches. CONCLUSIONS: Segmental specific BIVA and DXA provided a consistent evaluation of body composition in both sexes, of the whole body and each body segment. The indices %FM and FFMI obtained with DXA were correlated to vector length and phase angle in each segment, respectively. Specific BIVA represents a promising technique for monitoring segmental body composition changes in sport science and clinical applications.
AIMS: The aim of this study was to analyse the association between specific bioelectric impedance vector analysis (BIVA) and dual-energy X-ray absorptiometry (DXA) to assess segmental body composition using DXA as the reference technique. METHODS: The sample comprised 50 young active students who practised or played different sports (25 men, age: 24.37 ± 4.79 y; 25 women, age: 24.32 ± 4.43 y) from the National Institute of Physical Education of Catalonia (INEFC). Anthropometric data (height, weight, arm, waist, and calf circumferences) and bioelectrical measurements (R, ohm; Xc, ohm) were recorded. Body composition was analysed with specific BIVA. DXA was used as the reference method to assess body composition of the whole-body, the trunk, and the limbs. The percentage of fat mass (%FMDXA) and fat-free mass index (FFMIDXA = FFM/length2) were calculated. The agreement between specific BIVA and DXA was evaluated by a depth-depth analysis, two-way ANOVA, and Pearson's correlations. RESULTS: The depth-depth analysis showed a good agreement between DXA and BIVA (F = 14.89, p < 0.001) in both sexes and all body segments. Specific vector length (Zsp; i.e. indicative of %FM) was correlated with %FMDXA in the whole body and all body segments, and the phase angle was correlated with FFMIDXA, with he trunk in women as the only exception. Specific BIVA demonstrated to balance the effect of body size on bioelectrical measurements in both whole and segmental approaches. CONCLUSIONS: Segmental specific BIVA and DXA provided a consistent evaluation of body composition in both sexes, of the whole body and each body segment. The indices %FM and FFMI obtained with DXA were correlated to vector length and phase angle in each segment, respectively. Specific BIVA represents a promising technique for monitoring segmental body composition changes in sport science and clinical applications.
Authors: Silvia Stagi; Alessia Moroni; Margherita Micheletti Cremasco; Elisabetta Marini Journal: Int J Environ Res Public Health Date: 2021-06-02 Impact factor: 3.390