Usability of classic and specific bioelectrical impedance vector analysis in measuring body composition of children

Stagi, Silvia; Silva, Analiza M.; Jesus, Filipe; Campa, Francesco; Cabras, Stefano; Earthman, Carrie P.; Marini, Elisabetta

doi:10.1016/j.clnu.2022.01.021

Cited by 10 publications

(13 citation statements)

References 25 publications

(31 reference statements)

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“…The articles included in this systematic review originated from different geographical regions, including North America (United States of America, n = 1; 2.8%) (Stagi et al 2022), South America (Brazil, n = 16; 44.4%) (Barufaldi et IV of high-performance cyclists compared to amateurs showed similar patterns with higher BCM and PhA and R and Xc for high-performance cyclists…”

Section: Resultsmentioning

confidence: 99%

“…Of the studies included in this review, two utilized both the classic approach and the specific approach in the same research (Toselli et al 2020, Stagi et al 2022. The result of both approaches must use reference values from populations that have the same characteristics as the investigated sample.…”

Section: Classic and Specific Approachmentioning

confidence: 99%

“…In this approach, BIVA is standardized by height and body cross-sectional areas (relaxed arm circumference, waist circumference, and calf circumference) with the purpose of controlling for the effect of body dimensions (Buffa et al 2013 and it also plotted into a RXc graph. When combined with reference techniques such as dual-energy x-ray absorptiometry (DXA) and BIA, specific BIVA has shown improved accuracy in assessing body composition components such as relative and absolute and fat free mass (FFM), while classic BIVA was more sensitive to differences in body fluids such as total body water (TBW) (Stagi et al 2022) in children and adolescents.…”

Section: Introductionmentioning

confidence: 99%

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Utilization of bioelectrical impedance vector analysis (BIVA) in children and adolescents without diagnosed diseases: a systematic review

Santiago,

Martins,

Silva

2024

Physiol. Meas.

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Background: Bioelectrical Impedance Vector Analysis (BIVA) emerges as a technique that utilizes raw parameters of bioelectrical impedance analysis and assumes the use of a reference population for information analysis. Objective: To summarize studies that have utilized BIVA in children and adolescents without diagnosed diseases. Methods: A systematic search was conducted in nine electronic databases (CINAHL, LILACS, PubMed, SciELO, Scopus, SPORTDiscus, Science Direct, MEDLINE, and Web of Science). Studies with different designs which allowed extracting information regarding reference values of BIVA in children and adolescents without diagnosed diseases, aged 19 years or younger, were included. The systematic review followed PRISMA procedures and was registered in PROSPERO (registration: CRD42023391069). Results: After applying the eligibility criteria, 36 studies were included. Twenty studies (55.6%) analyzed body composition using BIVA, thirteen studies (36.1%) aimed to establish reference values for BIVA, and three studies (8.3%) investigated the association of physical performance with BIVA. There was heterogeneity regarding the reference populations employed by the studies. Fifteen studies used their own sample as a reference (41.6%), four studies used the adult population as a reference (11.1%), and five studies used reference values from athletes (13.9%). Conclusion: Despite the wide applicability of BIVA, studies were found to utilize reference values with characteristics that diverged from the populations of interest.

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Section: Resultsmentioning

confidence: 99%

Section: Classic and Specific Approachmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Utilization of bioelectrical impedance vector analysis (BIVA) in children and adolescents without diagnosed diseases: a systematic review

Santiago,

Martins,

Silva

2024

Physiol. Meas.

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“…A variety of methods and instrumentations are available to evaluate body composition. Phase angle (PhA) and bioelectrical impedance vector analysis (BIVA) have proven to be accurate, inexpensive, and minimally invasive tools [ 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 ]. PhA is an indicator of the quantity and quality of cell membranes and is considered a marker of muscle quality and function [ 36 , 37 , 38 ].…”

Section: Introductionmentioning

confidence: 99%

“…The specific BIVA approach [ 32 ], which analyses PhA along with vector length, has also shown accuracy in the evaluation of the relative content of fat mass both at the total [ 32 ] and the segmental level [ 40 ]. It is suitable for applications in the general population and various clinical and sports settings [ 32 , 33 , 34 , 35 , 41 , 42 ].…”

Section: Introductionmentioning

confidence: 99%

Body Composition and Strength Symmetry of Kettlebell Sport Athletes

Stagi

Mulliri

Doneddu

et al. 2023

Biology

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Kettlebell sport (KBs) is increasingly popular, but very few studies have been focused on this discipline. This research aims to investigate the effects of KBs on body composition, strength symmetry, and segmental body composition symmetry in a sample of Italian elite athletes. Data were collected from a sample of 16 athletes of both sexes (11 men and 5 women; 34.5 ± 9.0 years of age). Anthropometric (height, weight, arm, thigh, calf, and waist circumferences), hand grip strength, and total and segmental bioelectrical variables were taken. Body composition was analysed by using specific bioelectrical impedance vector analysis (BIVA). Paired t-tests and confidence ellipses were applied to analyse bilateral differences. Elite athletes of both sexes showed high values of phase angle, indicative of high body cell mass and quality and proxy of muscle mass. Hand grip strength and body composition were symmetrical, with the only exception of a higher %FM in the right leg (Zsp: t = 3.556; p = 0.003). In conclusion, this study suggests that KBs contributes to muscle mass improvement, body composition, and strength symmetry, especially in the upper body.

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