Principal Investigator: Dr Tim Wilkinson
Department: Centre for Clinical Brain Sciences
Institution: University of EdinburghTags: 25026, Alzheimer's, cognition, Dementia, prediction
1a: We will investigate which factors predict who will subsequently develop dementia. By focusing on simple, readily-available information that might be available to doctors in their everyday practice, we will ultimately be able to develop a series of models that combine these variables to predict who is at risk of dementia over a 5-10 year period.
1b: This research aims to improve our ability to prevent dementia.
The processes underlying dementia begin in middle age, and so preventative treatments or lifestyle interventions should be targeted to this age group, in order to have an impact in later life. By developing a dementia risk prediction model we will be able to identify who, in an asymptomatic population, is at the highest risk of developing dementia in the future. These people can then be identified for treatment or recruited into intervention trials.
1c: We will look at the predictive value of chosen variables independently to identify which variables are most predictive, focusing on variables that are likely to be available to clinicians in daily practice, e.g. age, family history, vascular risk, medical history and simple blood tests (e.g. kidney function). We will then combine the most predictive variables into a model.
1d: Full cohort – all 503,000 participants
We aim to investigate the relationship between dietary iron intake on a broad range of health outcomes. General research questions include:
- Does high iron intake relate to chronic disease outcomes such as cancer, cardiovascular disease, diabetes, alterations in cardiovascular structure and function and the metabolic syndrome?
- Do interactions exist between dietary iron intake and measures of lifestyle (e.g. smoking, alcohol consumption, obesity) and does it predict the above outcomes?
- Are consumers of heme iron sources at higher disease risk than non-heme iron consumers?
4. Are conditions which are related to both iron loading and alcohol consumption, such as sarcopenia and osteoporosis, related in a more elderly population in which alcohol consumption is high?
We will investigate which factors predict who will subsequently develop dementia. By focusing on simple, readily-available information that might be available to doctors in their everyday practice, we will ultimately be able to develop a series of models that combine these variables to predict who is at risk of dementia over a 5-10 year period. We will also investigate whether further information (e.g. cognitive testing, sleep analysis using accelerometry data) improves prediction over and above the more readily-available information. There is increasing evidence that poor sleep is linked with subsequent dementia, we will investigate this in the UK Biobank cohort.
Last updated Dec 18, 2018