scholarly journals Applications of Bioelectrical Impedance Vector Analysis (BIVA) in the Study of Body Composition in Athletes

2021 ◽  
Vol 11 (21) ◽  
pp. 9781
Author(s):  
Sandra de la Cruz Marcos ◽  
Mª Paz Redondo del Río ◽  
Beatriz de Mateo Silleras

The study of body composition (BC) allows evaluating nutritional status, optimizing competitive performance, and monitoring the success of training regimens in athletes. Since BC reference techniques are expensive and/or invasive, in practice simpler, less expensive, and safer methods such as anthropometry are often used. The problem is that anthropometry requires a qualified anthropometrist, a rigorous measurement protocol using validated equipment, and a lengthy procedure because of its limited accuracy. Bioimpedance analysis (BIA) is an indirect method for estimating BC in a simple, fast, inexpensive, noninvasive, accurate, and reproducible manner. Despite the limitations of conventional BIA, it is still the most commonly used method for assessing BC in athletes. However, bioelectrical impedance vector analysis (BIVA) allows qualitative assessment of body cell mass (BCM) and hydration status without the need for biological assumptions and without being subject to conventional BIA errors. The purpose of this article was to demonstrate the uses and applications of BIA in the study of the BC and physical characteristics of athletes. For example, several practical cases of athletes from different sports were compared. The results obtained from somatotype studies, conventional BIA, and BIVA were included. BIVA interpretation and somatotype were consistent for all cases analyzed, but BIVA also provided information about hydration and BCM. The application of BIVA in the assessment of athletes can improve BC studies in sports because it is fast, simple, and reliable and neither imposes two-compartment-model limitations on BC estimation nor requires any biological assumptions.

Author(s):  
Priscila Custódio Martins ◽  
Luis Alberto Gobbo ◽  
Diego Augusto Santos Silva

Abstract Background Bioelectrical impedance vector analysis (BIVA) is able to identify differences in hydration status and body composition components, such as body cell mass (BCM) by means of plotting individuals in ellipses, when comparing groups with different characteristics. Objective Compare the confidence and tolerance ellipses of BIVA in individual and team sports athletes with a non-athlete reference population. Design and participants One hundred sixty-seven college athletes (team sports: 117 athletes, individual sports: 50 athletes) aged between 18 and 35 years. Bioelectrical impedance was used to measure resistance (R) and reactance (Xc) values that were used in the BIVA analysis to identify hydration status and BCM, respectively. Hotelling’s t-test was used to identify differences between groups in the confidence ellipses and the comparison was made with a non-athlete Italian reference population. Results There were no differences between male team sports and individual athletes (p = 0.151) and for female athletes (p = 0.624). Most athletes were located in the 50% tolerance ellipses, indicating adequate hydration. Compared to the Italian a non-athlete population, athletes of both sexes presented left impedance vector deviation in the minor axis (Xc) of the tolerance ellipses, indicating higher BCM. Conclusion There were no differences in BIVA between team and individual sports athletes, but most athletes presented an adequate hydration state and, compared to a non-athlete population, the athletes of the present study presented higher BCM.


2019 ◽  
Vol 30 ◽  
pp. 59-66 ◽  
Author(s):  
Amara Callistus Nwosu ◽  
Catriona R. Mayland ◽  
Stephen Mason ◽  
Trevor F. Cox ◽  
Andrea Varro ◽  
...  

Nutrition ◽  
2014 ◽  
Vol 30 (5) ◽  
pp. 569-574 ◽  
Author(s):  
Carolina Ferreira Nicoletti ◽  
José Simon Camelo ◽  
José Ernesto dos Santos ◽  
Julio Sergio Marchini ◽  
Wilson Salgado ◽  
...  

2020 ◽  
Vol 39 (2) ◽  
pp. 447-454 ◽  
Author(s):  
Elisabetta Marini ◽  
Francesco Campa ◽  
Roberto Buffa ◽  
Silvia Stagi ◽  
Catarina N. Matias ◽  
...  

2021 ◽  
Vol 10 ◽  
pp. 216495612110217
Author(s):  
Paweł Więch ◽  
Zdzisława Chmiel ◽  
Dariusz Bazaliński ◽  
Marek Sobolewski ◽  
Izabela Sałacińska

Background Body mass composition is subject to constant change and is multifactorially determined. Its analysis in different age groups allows a better understanding of the determinants of the human organism in health and disease. Aim The study was aimed to conduct cross-sectional assessment of body composition and selected nutritional indicators in healthy adults. Methods The cross-sectional study carried out from March 2016 to April 2018 was preceded by a monthly pilot study. All 1333 adults (women 795, 59.6%) aged 20–59 included in the study were from the urban and rural area of the Podkarpackie Province (Poland). These adults were classified into four 10-year age bands. To obtain reliable assessment, selected screening (anthropometry) and in-depth (bioelectrical impedance including phase angle and bioelectrical impedance vector analysis) methods were used. Results In women, the proportion of individuals affected by overweight and obesity increases significantly with age, with a less pronounced trend in men, as reflected in the observed differences in individual body composition components. A slight (0.45–0.60) correlation was also observed between body mass index (BMI) and percentage of fat mass (FM %) among men with an increasing strength of the association with age, decreasing in the 50–59 years group. In the female group, the correlations described are at a much higher level (0.80 or higher). The described changes in body composition were reflected in body type from athletic to obese, measured by means of the bioelectrical impedance vector analysis (BIVA) method. Conclusions Age and gender significantly differentiate body composition of the adult human body. The body composition analysis should be considered as complement screening assessment method, especially as a support for the assessment of nutritional status expressed by BMI.


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