Back
Science

Study identifies 20 health indicators to predict risk of 18 obesity-related diseases

View source

New Obesity Risk Model Aims to Personalize Prevention of Chronic Disease

A groundbreaking study published in Nature Medicine introduces OBSCORE, a novel risk model that uses 20 health indicators to predict an individual’s future risk of developing 18 different obesity-related diseases.

"Two people with similar body weight can have very different risks of developing diseases such as diabetes or heart conditions."
– Dr. Kamil Demircan, co-author

How the Model Works

Researchers from Queen Mary University of London and the Berlin Institute of Health at Charité developed the model by analyzing health data from 200,000 UK Biobank participants with overweight or obesity.

The 20 indicators used in the OBSCORE model fall into four categories:

  • Blood test results
  • Body measurements
  • Lifestyle information
  • Molecular data

The model was then validated in two independent studies: Genes & Health and EPIC-Norfolk.

Why This Matters

Obesity affects 60-70% of adults in Western countries and is linked to conditions including type 2 diabetes, heart disease, and other chronic illnesses. However, the study highlights a crucial insight: individuals with the same body weight can have vastly different health trajectories.

A key finding: The researchers discovered substantial differences in risk profiles among people within the same BMI category. Notably, those identified as highest risk were not always those with the highest BMI—a considerable proportion were individuals with overweight rather than obesity.

The Broader Implications

Professor Claudia Langenberg, lead author, explained the significance:

"With obesity affecting a growing proportion of the global population, preventing its long-term health complications has become a major challenge for healthcare systems. Our work shows how deeply phenotyped large-scale health data can be used to develop data-driven frameworks that identify individuals at higher risk of developing complications and may help support more risk-based approaches to manage obesity."

The OBSCORE model aims to identify those at highest risk early, allowing for targeted interventions before serious complications develop. This represents a shift away from a one-size-fits-all approach to obesity management and toward a more personalized, risk-based strategy.