Development and validation of risk prediction model for dementia

Dementia commonly affects elderly people and has become a major public health problem in the UK as the aging population grows. It is estimated that around 820,000 people are living with dementia. The true cost of dementia in the UK is estimated to be greater than 25 billion.Early detection not only can reduce care costs but also can improve patient quality of life. This proposal therefore aims to build a risk calculator for determining dementia risk by applying data from lifestyle/occupational/environmental factors, medical conditions that can potentially affect vascular health and genetic markers. This research fits UK Biobank purpose in that it is in public interest. We will build one or more optimised risk prediction models fit for predicting risk of the condition. We will require data from the full cohort (both males and females). Both cohort and nested case-control methods will be used. We will build one or more optimised risk prediction models fit for predicting risk in Alzheimer’s disease and vascular dementia.We will require data from the full cohort (both males and females). Both cohort and nested case-control methods will be used. We will require data from the full cohort (both males and females).