Bioelectrical Impedance Vector Analysis (BIVA) in Exercise and Sports Practice [PDF]
[eng] Bioelectrical impedance analysis (BIA) is a non-invasive technique widely used in body composition assessment. Nevertheless, its accuracy is compromised because of its reliance on regression equations and assumptions that are not frequently met.
Castizo Olier, Jorge
openaire +4 more sources
Body Composition by Bioimpedance in Transgender Women, Cali, Colombia [PDF]
Background Nutritional classification based on body composition in transgender populations poses methodological challenges for health professionals, particularly when sex‐based reference criteria are applied. Providing care with a gender‐sensitive approach while acknowledging underlying physiological differences remains a complex issue in clinical ...
Ana Lucia Valenzuela-Gallego +4 more
wiley +2 more sources
Usefulness of body composition assessment by bioelectrical impedance vector analysis in subacute post-stroke patients in rehabilitation [PDF]
Bioelectrical Impedance Vector Analysis (BIVA) is a valuable tool for evaluating hydration and body composition, but its application in subacute post-stroke patients remains unexplored.
Alessandro Guerrini +10 more
doaj +2 more sources
Aerobic fitness, phase angle, and bioelectrical impedance vector analysis in adolescents living with HIV: a cross-sectional study [PDF]
Objective: To analyze the association between phase angle (PhA) and bioelectrical impedance vector analysis (BIVA) with aerobic fitness in HIV+ adolescents. Methods: Aerobic fitness was assessed using the modified Canadian Aerobic Fitness Test, PhA, and
Marcos Cezar Pitombo da Silva Junior +5 more
doaj +2 more sources
Background and objectives: Body composition assessment can provide information associated with breast cancer patients’ (BCP) prognosis, that can lead interventions to improve survival outcomes. The aim of this study was to evaluate the effect of an
Ana Teresa Limon-Miro +5 more
doaj +2 more sources
Relevance of standardized phase angle and bioelectrical impedance vectors in hospitalized older patients: A cohort study [PDF]
Abstract Background The prognostic significance of standardized phase angle (StPhA) and bioelectrical impedance vector analysis (BIVA) remains unclear among hospitalized older individuals. Our study aimed to investigate the prognostic significance of StPhA and BIVA patterns concerning overall survival in hospitalized older patients.
Nahara Oliveira Lima da Silva Diniz +8 more
wiley +2 more sources
This study aimed to ascertain the efficacy of bioelectrical impedance vector analysis (BIVA) in assessing body composition in the elderly by comparing findings with the results of dual-energy X-ray absorptiometry (DXA), and to test an analytical variant of the method (specific BIVA).Cross-sectional study.The sample comprised 207 free-living elderly ...
MARINI, ELISABETTA +7 more
core +4 more sources
BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling
With the introduction of the variational autoencoder (VAE), probabilistic latent variable models have received renewed attention as powerful generative models. However, their performance in terms of test likelihood and quality of generated samples has been surpassed by autoregressive models without stochastic units.
Lars Maaløe +3 more
openaire +5 more sources
Bioelectrical impedance vector analysis in older adults: reference standards from a cross-sectional study [PDF]
Background and AimsThe bioelectrical impedance vector analysis (BIVA) requires population-specific references to correctly classify individuals based on body composition properties. The aim of this study was: (i) to develop new references specific to the
Francesco Campa +14 more
doaj +2 more sources
Predictive classification and regression models for bioimpedance vector analysis: Insights from a southern Cuban cohort [PDF]
This study used predictive models to explore the link between bioparameters at characteristic frequency and their positions within tolerance ellipses in a southern Cuban cohort.
Bello Jose Luis García +6 more
doaj +2 more sources

