Mapping Obesity-related Subtypes And Interconnected Clusters

In the Netherlands, about half of all adults are currently living with overweight. This number is expected to rise to as much as 64% by the year 2050, especially among younger adults aged 18 to 44. Overweight and obesity increase the risk of chronic conditions such as heart disease, diabetes, and joint problems. However, there is no single cause behind these issues. Instead, they result from a complex combination of factors - including nutrition, physical activity, sleep, stress, income, environment, and even air quality. These factors often influence each other and vary from person to person. This study aims to better understand these patterns and connections. By analyzing large sets of data, researchers are identifying different subtypes of people with overweight or obesity. These subtypes reflect groups of individuals who share similar personal, lifestyle, and environmental characteristics. Understanding these differences makes it possible to develop more personalized lifestyle advice and support. That way, care and prevention efforts can be better tailored to what people actually need and what works best for them in practice. Experts from various fields are helping interpret the results, so that scientific insights can be translated into practical solutions for individuals, communities, and healthcare settings.

NCT Number	NCT06960434
Lead Sponsor	Zuyd University of Applied Sciences Collaborators: Statistics Netherlands (CBS), LIME Limburg Measures
Conditions	Obesity, Overweight (BMI > 25)
Enrollment	15 participants
Start Date	2025-05-01
Primary Completion	2025-06-01 (estimated)
Study Completion	2025-09-01 (estimated)
Updated on ClinicalTrials.gov	2025-05-07