Body composition as a complementary tool for detection of metabolic syndrome 6 years postpartum: a St. Carlos Cohort follow-up

GDM is a significant predictor of MetS. However, body composition, especially increased adiposity and reduced relative muscle mass, provides valuable clinical insights beyond traditional anthropometric measures in postpartum women. The proposed cut-off values for body composition parameters may serve as effective, non-invasive tools for early MetS detection in postpartum care.

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Publication Details

Journal
Frontiers in Nutrition
Published
2025-10-29
DOI
https://doi.org/10.3389/fnut.2025.1689658
Primary Topic
Gestational Diabetes Research and Management
Type
article
Field-Weighted Citation Impact
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Body composition as a complementary tool for detection of metabolic syndrome 6 years postpartum: a St. Carlos Cohort follow-up

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Body composition as a complementary tool for detection of metabolic syndrome 6 years postpartum: a St. Carlos Cohort follow-up

Alfonso L. Calle‐Pascual, Angélica Larrad-Sáinz, Rocío Martín-O’Connor, Johanna Valerio, Bricia López‐Plaza, Clara Marcuello, Laura del Valle, Inés Jiménez, Miguel Ángel Rubio, Ana Barabash, Ana Maria Ramos-Levi, Pilar Matía‐Martín
article en

Abstract

GDM is a significant predictor of MetS. However, body composition, especially increased adiposity and reduced relative muscle mass, provides valuable clinical insights beyond traditional anthropometric measures in postpartum women. The proposed cut-off values for body composition parameters may serve as effective, non-invasive tools for early MetS detection in postpartum care.

Frontiers in NutritionVol. 12
Universidad Complutense de Madrid (ES), Centro de Investigación Biomédica en Red Diabetes y Enfermedades Metabólicas Asociadas (ES), Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (ES)
Openalex Percentile: Top 61%
Gestational Diabetes Research and Management
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