ArticleJournal of translational medicine2025
Association between bioelectrical impedance analysis parameters and muscle-related measurements obtained using a non-diagnostic ultrasound-based technique.
Article in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- A Multidisciplinary Perspective on Semaglutide Treatment and Medical Nutrition Therapy in Obesity Management.Current obesity reports · 2025Review
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14 authors.
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Abstract
backgroundAn in-depth analysis of body composition (BC) is fundamental for the assessment of nutritional status. A multifactorial approach is important for this assessment, integrating parameters and measurements obtained through different techniques, most notably bioelectrical impedance analysis (BIA) and ultrasound. In this study, we aimed to evaluate associations between BIA parameters and ultrasound measurements.
methodsThe BC of 993 adults (539 women and 454 men) was evaluated using BIA (BIA 101 RJL, Akern Bioresearch, Florence, Italy) and a non-diagnostic ultrasound-based technique at the thigh, employing a 2.5 MHz, A-mode probe (BodyMetrixTM, IntelaMetrix, Inc., Livermore, CA, USA). Ultrasound scans were analysed using Adipometria v 1.8.8 software (Hosand Technologies s.r.l., Verbania, Italy) and the muscle echogenicity (EG) was obtained. Ultrasound measurements were correlated with BIA parameters.
resultsIn the total population, muscle EG was directly correlated with the BIA parameter resistance (r = 0.347) and inversely correlated with several BIA parameters, including intracellular water (r = -0.479 and - 0.386, % and L, respectively) and phase angle (r = -0.487). These associations were maintained even after stratification of subjects by sex.
conclusionThe observation of significant associations between BIA parameters and ultrasound measurements suggests the importance of not considering the two methods as exclusive, but of integrating them into a holistic approach for the in-depth assessment of BC and nutritional status. Such an approach provides detailed information for the identification of optimal nutritional treatment, its monitoring over time, and possible optimisation.
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