Multidimensional Phenotyping of the OB-DIGITHUM Cohort of 1,014 Adults with Obesity across Four Sex- and Age-Stratified Profiles

Obesity Facts 2026 Open access

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Authors: Clotilde Vázquez, Teresa Montoya-Alvarez, Jersy Cárdenas-Salas, Bogdana Luiza Luca, Amalia Paniagua, Yvonne Fernández, Víctor Pérez de Arenaza, Clara Marijuan, Francisco de Arrieta, Claudia Causso, Leopoldo García‐Valdecasas, Roberto Sierra
+2 more Irene Hoyas, Sebastián Mas-Fontao
DOI: 10.1159/000552187
Cited by: 1
References: 35

Abstract

INTRODUCTION: Obesity heterogeneity by sex and age is crucial for precise risk stratification. Limited phenotyping obscures sex-specific risks and contributes to diagnostic and treatment disparities. METHODS: This is a cross-sectional study of 1,014 adults with obesity (68% women; median age 50) from four Madrid Obesity Centers using a digital pathway (OB-DigiThum) including anthropometry, bioimpedance, biomarkers, and comorbidity screening. Fat mass (FM) and skeletal muscle mass (SMM) were normalized to body surface area (FM/BSA; SMM/BSA). Participants were stratified into four predefined sex and age-groups (female

Fields of Study & Subjects

Adipokines Inflammation and Metabolic Diseases Cardiovascular Health and Risk Factors Cardiovascular Disease and Adiposity

Publication details

Journal / source
Obesity Facts
Publisher
S. Karger AG
Pages
1–14
Publication date
8 May 2026
Language
EN