UK Researchers Develop New Tool to Predict Who Is Most at Risk from Obesity‑Related Diseases

UK Researchers Develop New Tool to Predict Who Is Most at Risk from Obesity‑Related Diseases
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UK scientists have created a new predictive health tool designed to pinpoint which people are most likely to develop serious obesity‑related conditions, offering potential improvements in early intervention and personalised care.

The model, known as OBSCORE, was developed using data from nearly 200,000 participants in the UK Biobank study — all of whom were overweight or living with obesity — and analyses 20 commonly collected health measures such as blood test results, age and cholesterol levels.

Published in the journal Nature Medicine, the research shows the tool can predict a person’s 10‑year risk of developing up to 18 serious conditions linked to excess weight, including type 2 diabetes, heart disease and various chronic illnesses. The OBSCORE model groups individuals into five risk categories per disease, helping clinicians identify high‑risk patients even where traditional measures like Body Mass Index (BMI) alone may be insufficient.

Scientists emphasise that people with similar BMI can have very different health trajectories; some overweight individuals may face higher risks for disease than those with higher BMI but healthier metabolic profiles. The tool’s machine‑learning approach could thus allow more targeted monitoring and early treatment, potentially easing pressure on health services like the NHS by focusing resources on those most at risk.

While promising, the researchers note that further clinical trials and cost‑effectiveness evaluations are needed before OBSCORE can be adopted widely in routine healthcare.