OB-DigiThum: Phenotyping of 1,014 Adults with Obesity Across Sex and Age Profiles

A cross-sectional clinical dataset of 1,014 adults with obesity from four Madrid Obesity Centers, collected via the OB-DigiThum digital pathway. The dataset includes anthropometry, bioimpedance, biomarkers, and comorbidity screening, with participants stratified by sex and age. It was authored by figshare admin karger and last updated in May 2026.

Use Cases

• Analyzing sex and age differences in body composition based on normalized fat mass and skeletal muscle mass.
• Identifying distinct metabolic risk profiles for groups like post-menopausal women and younger men.
• Studying associations between obesity phenotypes and psychological distress or dietary patterns.
• Developing stratified risk models using multidimensional clinical and behavioral data.

Strengths

• Includes 1,014 patient records with a defined cohort (68% women, median age 50).
• Multidimensional phenotyping covers anthropometry, biomarkers, comorbidities, and psychological factors.
• Data is stratified into four predefined sex- and age groups for comparative analysis.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small (33.1 KB), suggesting limited raw data or a supplementary document.

Provenance

Source

Four Madrid Obesity Centers via the OB-DigiThum digital pathway.

Collection Method

Cross-sectional study using a digital pathway including anthropometry, bioimpedance, biomarkers, and comorbidity screening.

Time Range

null

Freshness

Last updated 2026-05-08 05:55:19; freshness should be verified.

Geography

Madrid, Spain.