A predictive model for muscle mass loss in obesity: Validation of phase angle and fat-free mass as independent predictors

This predictive model reliably identifies muscle mass loss in patients with obesity across multiple thresholds. It could potentially be used to stratify patients at low or high risk of muscle mass loss and to tailor weight-loss therapies accordingly.

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Publication Details

Journal
Clinical Nutrition ESPEN
Published
2025-10-15
DOI
https://doi.org/10.1016/j.clnesp.2025.10.010
Primary Topic
Body Composition Measurement Techniques
Type
article
Field-Weighted Citation Impact
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article

A predictive model for muscle mass loss in obesity: Validation of phase angle and fat-free mass as independent predictors

Marcio L. Griebeler, Daniel Miller Rotroff, María Tamayo, Ricardo Rosero
Clinical Nutrition ESPEN
Body Composition Measurement Techniques
article

A predictive model for muscle mass loss in obesity: Validation of phase angle and fat-free mass as independent predictors

Marcio L. Griebeler, Daniel Miller Rotroff, María Tamayo, Ricardo Rosero
article en

Abstract

This predictive model reliably identifies muscle mass loss in patients with obesity across multiple thresholds. It could potentially be used to stratify patients at low or high risk of muscle mass loss and to tailor weight-loss therapies accordingly.

Clinical Nutrition ESPENVol. 70
Cleveland Clinic (US), Cleveland Clinic Lerner College of Medicine (US), Fundación Santa Fe de Bogotá (CO)
Openalex Percentile: Top 63%
Body Composition Measurement Techniques
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