Segmental body composition estimated by specific BIVA and dual-energy X-ray absorptiometry

Stagi, Silvia; Irurtia, Alfredo; Rafel, Joaquim Rosales; Cabras, Stefano; Buffa, Roberto; Carrasco-Marginet, Marta; Castizo-Olier, Jorge; Marini, Elisabetta

doi:10.1016/j.clnu.2021.02.043

Cited by 16 publications

(27 citation statements)

References 34 publications

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“…In this regard and in accordance with this study, the positive associations between specific VL and FM%, both in athletes and in the general population, has already been highlighted [6,16,17,24]. However, while longitudinal studies have compared changes in classic BIVA patterns with reference methods [13,14], only cross-sectional studies have investigated the relationships between specific BIVA patterns and body composition parameters derived from DXA [6,16,17]. While changes in vector length were observed in the intervention group, the phase angle remained unchanged from baseline to the second measurement.…”

Section: Discussionsupporting

confidence: 89%

“…Single and multiple regression analyses were performed to evaluate the associations between changes in specific VL and FM%. In addition, after the transformation of measured vector components into bivariate Z-scores (i.e., R/H and Xc/H minus the mean and divided by the standard deviation of R/H and Xc/H calculated in the reference population), bioelectrical variables were analyzed in relation to the distribution of the reference population [17]. To assess the effect size (ES) of the significant parametric test results (p < 0.05), the Hedge's ES and the Mahalanobis distance (D 2 ) were calculated.…”

Section: Discussionmentioning

confidence: 99%

“…The ability of specific BIVA to classify subjects according to FM% has been recognized in different cross-sectional studies, but no longitudinal designs have yet been applied [6,16,17]. This study used the results of the participants of the Champ4life project, a lifestyle intervention aimed to reduce weight in former athletes who were inactive and had overweight or obesity.…”

Section: Introductionmentioning

confidence: 99%

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

Campa

Matias

Nunes

et al. 2021

Biology

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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.

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Section: Discussionsupporting

confidence: 89%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Campa

Matias

Nunes

et al. 2021

Biology

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“…To assess the body composition of the dominant and non-dominant arms, and the right and left legs, segmental specific bioelectrical impedance vector analysis (BIVA), an accurate procedure recently tested for the evaluation of the segmental body composition, was applied [15]. Resistance (R) and reactance (X c ) values for each body segment were adjusted for a correction factor (A/L), where A (cm 2 ) is the cross-sectional area (C 2 /4π cm 2 ) of the mid-arm and calf, and the L (cm) is the length of the arm and leg.…”

Section: Bioelectrical Measurementsmentioning

confidence: 99%

Body Composition Symmetry in Long-Term Active Middle-Aged and Older Individuals

Stagi

Moroni

Cremasco

et al. 2021

IJERPH

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This study aimed to analyze body composition and strength symmetry in a sample of 165 middle-aged and elderly Italian volunteers, which included 97 active (67 men and 30 women; 61.17 ± 7.56 years) individuals regularly engaged in Tai Chi Chuan, tennis, or running, and a control group of 59 age-matched sedentary (27 men and 32 women) individuals. Anthropometric and bioelectrical measurements and hand grip strength of both sides were collected. Segmental body composition was analyzed through specific bioelectrical impedance vector analysis. The body composition of the right and left limbs was similar among active individuals (arms: T2 = 6.3, n.s.; legs: T2 = 5.0, n.s.), with a similar pattern in the three different disciplines. By contrast, the control group showed bilateral asymmetry (arms: T2 = 6.8, p < 0.001; legs: T2 = 8.8, p < 0.001), mainly because of the higher values of specific reactance (t = 2.4; p = 0.018) and phase angle (t = 2.0; p = 0.054) in the dominant arm, and the higher specific vector length (t = −3.0; p = 0.027) in the left leg. All of the groups showed a higher hand grip strength in the dominant arm (active: t = 7.0, p < 0.001; control: t = 2.9; p < 0.01). In conclusion, the active individuals showed stronger body composition symmetry than the controls, thus indicating a previously undetected positive effect of sport in middle-aged and older adults.

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“…The simple BIVA mode allows vector displacement as therapeutic feedback to detect, monitor, and even control congestion status ( 43 ). BIVA may be used as a routine bedside body fluid assessment and management method ( 44 ), however, BIVA is not recommended in the current HF guidelines.…”

Section: Future Perspectivesmentioning

confidence: 99%

Bioimpedance Vector Analysis for Heart Failure: Should We Put It on the Agenda?

Liang

Bai

et al. 2021

Front. Cardiovasc. Med.

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Heart failure is a clinical syndrome, resulting in increased intracardiac pressure and/or decreased cardiac output under rest or stress. In acute decompensated heart failure, volume assessment is essential for clinical diagnosis and management. More and more evidence shows the advantages of bioimpedance vector analysis in this issue. Here, we critically present a brief review of bioimpedance vector analysis in the prediction and management of heart failure to give a reference to clinical physicians and guideline makers.

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Segmental body composition estimated by specific BIVA and dual-energy X-ray absorptiometry

Cited by 16 publications

References 34 publications

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

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

Body Composition Symmetry in Long-Term Active Middle-Aged and Older Individuals

Bioimpedance Vector Analysis for Heart Failure: Should We Put It on the Agenda?

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