New Screening Tool Predicts Health Risks for People Living with Obesity
The model uses 20 routine health indicators to flag patients most likely to develop 18 obesity-related diseases, researchers said.
7 Articles
7 Articles
New screening tool predicts health risks for people living with obesity
A simple tool, developed by researchers at Queen Mary University of London and the Berlin Institute of Health at Charité, could help identify which people living with obesity or overweight are most likely to develop serious obesity-related conditions such as type 2 diabetes and heart disease.
Greece Faces One of Europe’s Highest Child Obesity Rates
Greece ranks second in Europe for child obesity, with 30% to 42% of children overweight or obese and 15% to 20% classified as obese. Credit: Public Domain Greece is facing one of Europe’s highest child obesity rates, with recent data showing that 30% to 42% of children in the country are overweight or obese, while 15% to 20% are classified as obese. The figures place Greece second in Europe for childhood obesity and third for overweight prevalen…
Data-Driven Tool Identifies Individuals at Highest Risk of Obesity-Related Disease
A new clinical risk model may transform how obesity is managed, by identifying which individuals are most likely to develop serious complications, regardless of their body mass index (BMI). Developed by researchers at Queen Mary University of London and the Berlin Institute of Health, the tool, called OBSCORE, uses just 20 routinely collected clinical variables to predict the future risk of 18 obesity-related conditions, ranging from type 2 diab…
London – Obesity, even without accompanying metabolic disorders, is associated with an increased risk of cardiometabolic diseases and higher mortality. This is shown by a large prospective cohort study based on the UK Biobank, published in the American Journal of Preventive Cardiology (2026; DOI: 10.1016/j.ajpc.2026.101556).
Innovative Tool Pinpoints Individuals Most Vulnerable to Obesity-Related
Researchers Unveil a Groundbreaking Model to Predict Obesity-Related Disease Risks Beyond BMI In a world increasingly burdened by the health consequences of obesity, a transformative study published recently in Nature Medicine introduces a sophisticated, data-driven model capable of predicting future risks of multiple obesity-related diseases with remarkable accuracy. This innovation holds promise to revolutionize how clinicians identify individ…
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