Imagine if we could map out exactly why some neighborhoods make it harder to stay healthy than others. This work looks at how your bank account, where you live, and your biology all mix to cause weight gain. It's like creating a GPS for health risks that tells doctors and city planners exactly where to intervene to stop obesity before it starts.
Obesity prevention fails when it ignores the gap between rich and poor. Current tools don't account for how a person's environment and social status interact with their biology to drive weight gain.
A risk screener for the public and professionals, a digital atlas of obesogenic environments, and a decision support dashboard for policymakers.
If you are a health-tech app developer dealing with low user engagement in low-income areas — this project developed a risk screener that provides tailored lifestyle recommendations. This allows your app to offer personalized health paths based on a user's specific socioeconomic and environmental risks.
If you are a consultancy dealing with urban redesign for healthier cities — this project developed a digital atlas on the obesogenicity of environments. You can use this map to identify high-risk zones and justify the placement of parks or healthy food hubs.
If you are an insurer dealing with rising cardiometabolic claims in specific demographics — this project characterised risk profiles over gender, age, and socioeconomic position. This data helps you design more accurate preventative wellness programs for high-risk groups.
Based on available project data, no pricing or commercial cost structure is mentioned as the project is EU-funded.
The project aims to provide tools for the public at large and health professionals across 8 countries, suggesting a design intended for wide-scale deployment.
Based on available project data, specific licensing terms are not provided; however, the project focuses on providing knowledge and tools to policymakers and the public.
The project develops a decision support dashboard and toolboxes specifically designed for implementation by health professionals and policymakers.
The project period runs from 2023-11-01 to 2028-10-31, meaning final tools will be fully matured by late 2028.
The consortium is heavily weighted toward academic and research institutions, with 7 universities and 3 research organizations. There is very low industrial presence (only 1 industry partner, representing 7% of the group), which indicates the project is currently driven by scientific discovery rather than immediate commercial productization.
Contact Stichting Amsterdam UMC in the Netherlands
Contact us to track the development of the obesity risk screener for your health-tech product.
