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Specific Bioelectrical Impedance Vector Analysis Identifies Body Fat Reduction after a Lifestyle Intervention in Former Elite Athletes

Authors :
Francesco Campa
Catarina Nunes Matias
Catarina L. Nunes
Cristina P. Monteiro
Rubén Francisco
Filipe Jesus
Elisabetta Marini
Luís B. Sardinha
Paulo Martins
Cláudia Minderico
Analiza M. Silva
Source :
Biology, Vol 10, Iss 6, p 524 (2021)
Publication Year :
2021
Publisher :
MDPI AG, 2021.

Abstract

Background: specific bioelectrical impedance vector analysis (BIVA) has been proposed as an alternative bioimpedance method for evaluating body composition. This investigation aimed to verify the ability of specific BIVA in identifying changes in fat mass after a 16-week lifestyle program in former athletes. Methods: The 94 participants included in the Champ4life project (clinicaltrials.gov: NCT03031951) were randomized into intervention (n = 49) and control (n = 45) groups, from which 82 athletes completed the intervention (age 43.9 ± 9.2 y; body mass index 31.1 ± 4.6 kg/m2). Fat mass was estimated by dual-energy X-ray absorptiometry. Bioelectric resistance, reactance, phase angle, and vector length were assessed by bioelectric impedance spectroscopy, and the BIVA procedure was applied. Results: A significant (p < 0.05) group x time interaction for fat mass, specific resistance, reactance, and vector length was found. Fat mass and vector length significantly (p < 0.05) decreased in the intervention group, while no change was measured in the control group. Considering the participants as a whole group, changes in vector length were associated with changes in fat mass percentage (r2 = 0.246; β = 0.33; p < 0.001) even after adjusting for age, sex, and group (R2 = 0.373; β = 0.23; p = 0.002). Conclusions: The specific BIVA approach is suitable to track fat mass changes during an intervention program aimed to reduce body fat in former athletes.

Details

Language :
English
ISSN :
20797737
Volume :
10
Issue :
6
Database :
Directory of Open Access Journals
Journal :
Biology
Publication Type :
Academic Journal
Accession number :
edsdoj.5d0f44548c44b9499ed8890342bbf05
Document Type :
article
Full Text :
https://doi.org/10.3390/biology10060524