Aims: To produce a predictive outcome model framework with which to analyze and quantitatively characterize the associations of risk factors and outcomes in an obese population through multivariable regression analysis
Rationale: A risk prediction model of this type does not yet exist for the obese population which generally characterizes the links between risk factors and outcomes. Utilizing a large dataset available within the UK Biobank would serve as a foundation for the creation of such a tool and provide room for expansion and iterative improvement in the future.
Duration: 3 years with annual updates
Impact: Understanding and predicting the progression of obesity would be invaluable towards shaping adverse outcome prevention, care, and disease management. In addition, by basing the project in an ongoing data collection project, there is always the possibility of iterative improvement in the future.
