Background

Accurately assessing diabetes risk in individuals is an important prerequisite to targeting prevention interventions at individuals at high risk of developing diabetes. Diabetes risk prediction models provide an important approach to assessing risk and susceptibility by identifying individuals at high risk, by allowing the evaluation of interventions, and by providing estimates of the population burden and cost of diabetes. A substantial body of research has recently been published or is currently underway to develop diabetes risk prediction models.

The symposium will present recent developments and will provide the opportunity for a discussion of methods for deriving and validating prediction models, their application in different settings as well as associated risks and benefits.

Objectives

• To introduce current approaches of diabetes risk prediction
• To discuss ways to improve current diabetes risk prediction models, incorporating new clinical and genetic data
• To discuss methodological issues relevant to the derivation and validation of diabetes risk prediction models
• To discuss the application of diabetes risk prediction models in planning intervention trials and designing prevention strategies
• To discuss different formats of risk communication and their effects on risk perception and screening yields
• To discuss costs and benefits of risk screening

The German Institute of Human Nutrition (DIfE) invites scientists in the field of chronic disease risk prediction and diabetes prevention to discuss these issues during a two-day symposium.

Prof. Dr. Schulze
Symposium Coordinator