PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 10, 2026Obesity Facts0 citationsOpen Access

Manuscript Title Multidimensional Phenotyping of the OB-DIGITHUM cohort of 1014 adults with obesity across four sex- and age-stratified profiles.

View Full Paper
CVClotilde VázquezTMTeresa Montoya-AlvarezJCJersy Cárdenas-Salas

Key Result

Multidimensional phenotyping of adults with obesity revealed that women had significantly higher fat mass and lower skeletal muscle mass than men (p<0.001).

Key Points

  • This study aims to explore obesity heterogeneity by examining sex- and age-specific phenotypes among adults with obesity.
  • Cross-sectional study of 1,014 adults with obesity from four Madrid Obesity Centers.
  • Participants were stratified into four sex- and age-defined profiles: female <50, female ≥50, male <50, male ≥50.
  • Multidimensional phenotyping was performed using discriminant analysis and hierarchical clustering.
  • Women had higher fat mass per body surface area (FM/BSA) and lower skeletal muscle mass per body surface area (SMM/BSA) than men (p<0.001).
  • Post-menopausal women presented increased risks of type 2 diabetes, hypertension, and dyslipidaemia.
  • Distinct patterns in body composition and health risks were observed across the stratified profiles.

Study Design

Type

Cross-Sectional (n=1,014)

Multicenter

Yes

Structured PICO

Do sex and age shape obesity phenotypes in adults with obesity?

P
Population
1,014 adults with obesity (68% women; median age 50) from four Madrid Obesity Centers.
I
Intervention
Multidimensional phenotyping using a digital pathway (OB-DigiThum) including anthropometry, bioimpedance, biomarkers, and comorbidity screening.
O
Outcome
Phenotypic differences across four sex- and age-stratified profiles (female <50, female ≥50, male <50, male ≥50).surrogate

Sex and age strongly shape obesity phenotypes, with post-menopausal women facing accelerated metabolic deterioration and sarcopenia, highlighting the need for tailored screening.

Main Result

p-value: p=<0.001

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: 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 normalised to body surface area (FM/BSA; SMM/BSA). Participants were stratified into four predefined sex- and age groups (female <50, female ≥50, male <50, male ≥50). Multidimensional phenotyping was performed using discriminant analysis and hierarchical clustering applied to standardized group-level mean profiles. Results: Women had higher FM/BSA and lower SMM/BSA than men (p<0.001), highlighting BMI’s limitations. With age, women’s BMI fell despite stable/increasing fat due to muscle loss (sarcopenic risk). Men showed more cardiometabolic disease overall, but post-menopausal women experienced sharp rises in type 2 diabetes, hypertension, and dyslipidaemia. Psychological distress was more frequent in women; bulimic behaviours appeared in younger men. Physical inactivity was common; Mediterranean diet adherence was relatively strong, especially in participants aged ≥50 years. The four sex- and age-stratified profiles showed distinct patterns in body composition, metabolic risk, and psychological burden, supporting differential risk stratification across groups. Conclusion: Sex and age strongly shape obesity phenotypes. Post-menopausal women face accelerated metabolic deterioration and sarcopenia. FM/BSA and SMM/BSA enhance risk profiling. Sex- and age-tailored metabolic, physical, and mental health screening should guide personalised management.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Vázquez et al. (2026) conducted a cross-sectional in Obesity (n=1,014). Multidimensional phenotyping (OB-DigiThum) was evaluated on Differences in fat mass and skeletal muscle mass normalized to body surface area between sexes (p=<0.001). Multidimensional phenotyping of adults with obesity revealed that women had significantly higher fat mass and lower skeletal muscle mass than men (p<0.001).

synapsesocial.com/papers/6a00217ac8f74e3340f9c571https://doi.org/10.1159/000552187
Ask AI
Helpful
Bookmark
Share
View Full Paper