David is also the Exeter Institute for Data Science and Artificial Intelligence Clinical Theme Lead and the Turing Exeter University Clinical Lead. He sits on Alzheimer’s Research UK’s Grant Review Board and their Clinical Policy Advisory Panel. He is an expert on the evaluation of cognitive function and dementia and is a member of the scientific advisory boards of the English Longitudinal Study of Ageing and the UCL Centre for Longitudinal Studies. He uses a combination of evidence synthesis, data science and machine learning to develop new translational insights to identify more effective interventions and enhance the diagnostic pathway for dementia. His research aims to enhance the timely detection of dementia, with a focus on developing strategies for primary and secondary prevention. He has advanced training in epidemiology and data science.

He also holds an honorary contract with Devon Partnership NHS Trust. Professor O’Brien is also the NIHR Clinical Research Network National Specialty Lead for Dementia and a member of several clinical guideline groups which undertake a number of multimodal MR, ligand PET and MEG studies, longitudinal clinical and e-record studies, and a number of clinical studies in dementia, including trials of pharmacological and non-pharmacological management.ĭavid J Llewellyn is a Professor at the University of Exeter Medical School and a Fellow at the Alan Turing Institute. He is interested in late-life depression, especially the role of vascular and inflammatory factors in precipitating and perpetuating depression in late-life, and the ability of vascular interventions to improve or prevent depressive and cognitive symptoms. His research interests include the role of biomarkers, especially MRI, SPECT and PET imaging, in the differential and early diagnosis of dementia, including identifying those ‘at risk’ of future cognitive decline and developing markers of onset and progression of disease. With risk of myocardial infarction or cardiovascular disease mortality.John T O’Brien is a Professor at the Department of Psychiatry at the University of Cambridge. Total fat and saturated and unsaturated fats were not significantly associated Higher saturated fat intake was associated with lower risk of stroke (quintileĥ vs quintile 1, HR 0♷9, p trend=0♰498). Of total mortality (quintile 5 vs quintile 1, total fat: HR 0♷7, p trend<0♰001 saturated fat, HR 0♸6, p trend=0♰088 monounsaturated fat: HR 0♸1, p trend<0♰001 and polyunsaturated fat: HR 0♸0, p trend<0♰001). Intake of total fat and each type of fat was associated with lower risk Mortality (highest vs lowest quintile category, HR 1♲8, p trend=0♰001) but not with the risk of cardiovascular disease or cardiovascular disease Higher carbohydrate intake was associated with an increased risk of total Ratios (HRs) using a multivariable Cox frailty model with random intercepts to accountĭuring follow-up, we documented 5796 deaths and 4784 major cardiovascular diseaseĮvents. Type of fat with cardiovascular disease and total mortality. We assessed the associations between consumption of carbohydrate, total fat, and each (carbohydrate, fats, and protein) based on percentage of energy provided by nutrients. Participants were categorised into quintiles of nutrient intake Were all myocardial infarctions, stroke, cardiovascular disease mortality, and non-cardiovascularĭisease mortality. The primary outcomes were total mortality and major cardiovascular events (fatal cardiovascularĭisease, non-fatal myocardial infarction, stroke, and heart failure). Intake of 135 335 individuals was recorded using validated food frequency questionnaires.

The Prospective Urban Rural Epidemiology (PURE) study is a large, epidemiologicalĬohort study of individuals aged 35–70 years (enrolled between Jan 1, 2003, and Marchģ1, 2013) in 18 countries with a median follow-up of 7♴ years (IQR 5♳–9♳). The Lancet Regional Health – Western Pacific.The Lancet Regional Health – Southeast Asia.The Lancet Gastroenterology & Hepatology.

High consumption