ArticleEuropean journal of clinical nutrition2026
Rethinking Biva in obesity: systematic vector displacement across the adiposity spectrum.
Article in European journal of clinical nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
objectiveTo characterize Bioelectrical Vector Analysis (BIVA) vector patterns in adults with excess adiposity defined by fat mass index (FMI) and to examine the implications of obesity-related vector displacement for the clinical interpretation of BIVA.
methodsWe conducted a retrospective cross-sectional analysis of adults attending a tertiary obesity clinic. Excess adiposity was defined using sex-specific FMI thresholds based on NHANES criteria. Resistance and reactance were normalized for height (R/H, Xc/H), and BIVA patterns were described overall and stratified by sex and ethnicity. Sex- and ethnicity-specific tolerance ellipses (50th, 75th, 95th percentiles) were derived from bivariate normal models and visually compared with Piccoli/NHANES reference ellipses for elevated adiposity. Correlation structure and ellipse geometry were evaluated within each sex-ethnicity stratum.
resultsIn 3072 adults with FMI-defined excess adiposity (723 men, 2349 women), impedance vectors showed a predominantly downward displacement characterized by lower Xc/H and lower phase angle, with variable R/H behavior across sex and ethnicity strata. This directional pattern was observed across the spectrum of FMI severity and remained stable across sex and major ethnic groups. Sex and ethnicity modulated mean vector position and ellipse dispersion but did not alter the overarching adiposity-related displacement. The correlation between R/H and Xc/H (r ≈ 0.63-0.75) was preserved in all strata, indicating intact underlying biophysical relationships.
conclusionsIn adults with obesity, displacement of BIVA relative to classical reference ellipses primarily reflects the electrophysiological signature of excess adiposity rather than overt fluid overload or intrinsic cellular failure. These findings support the development of obesity-adjusted BIVA reference frameworks, further refined by sex and ethnicity, to improve the specificity and physiological interpretability of raw impedance measurements in obesity care.
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