Novel metabolic and inflammatory stratification of overweight/obesity to characterize risks of adverse outcomes: A large population‐based cohort study
Authors' conclusion
This classification provides insights into the heterogeneity of individuals with overweight and obesity, aiding in the identification of high-risk patients who may benefit from targeted interventions.
Study context
- Population
- UK Biobank participants with overweight or obesity (BMI ≥25 kg/m²); mean [IQR] age 55.0 [14.0] years; 61,983 males (49.1%)
- Participants
- 126,145 participants
- Exposure
- Five metabolic and inflammatory clusters of overweight/obesity
- Outcome
- Risk of complications and mortality
- Follow-up
- 13.5 years
Methodological detailspopulation-based, K-means clustering, multivariate Cox regression, Genome-Wide Association Studies (GWAS) and Phenome-Wide Association Studies (PheWAS)
- Population-based
- K-means clustering
- Multivariate Cox regression
- GWAS and PheWAS
Main finding
As reported in the abstract
- Cluster 1 had a lower risk of complications than other clusters
- Cluster 2 had the highest incidence of stroke, linked to variants affecting blood circulation
- Cluster 3 had the highest risks for ischaemic heart disease, with variants enriched in cholesterol metabolism pathways
- Cluster 4 was associated with high cardiovascular risks
- Cluster 5 had the highest risks for diabetes, asthma, COPD, osteoarthritis and mortality, linked to obesity-related genetic variants
Observational data: associations, not effects.
Original publication
Novel metabolic and inflammatory stratification of overweight/obesity to characterize risks of adverse outcomes: A large population‐based cohort study. Diabetes Obes Metab. Published 19 February 2025. doi:10.
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