Dr Dexter Canoy
BSc (Hons) MPhil (Cantab) MD PhD (Cantab)
Dexter Canoy is an epidemiologist at the Cancer Epidemiology Unit primarily working on cardiovascular disease outcomes and their determinants in the Million Women Study, a cohort of over a million middle-aged UK women who are being followed prospectively. He has research interests in the aetiology of chronic diseases and determinants of major causes of morbidity and mortality in the population, and conducted epidemiological research in large-scale (big data) settings. Dexter continues to pursue research into obesity, healthy ageing and life course epidemiology, and is currently investigating determinants of women’s health, including the role of reproductive factors, in the development of cardiovascular disease.
Dexter has trained in clinical medicine at the University of the Philippines – Philippine General Hospital before reading epidemiology for his doctorate at the University of Cambridge. He has previously conducted research in the EPIC-Norfolk cohort study (University of Cambridge), focusing on associations between adiposity phenotypes and cardiovascular disease risks, and Northern Finland Birth Cohort Study (University of Oulu in Finland and Imperial College London), focusing on early life factors of adult cardiovascular, metabolic and respiratory health. Prior to joining the unit in 2010, he was based at the University of Manchester where he pursued research in obesity and cardiovascular disease, closely collaborating with public health, social science and bio-health informatics experts.
He can run a bit, swim a bit, and fence a bit, at least when he’s not injured. But he is rarely injury-free, or so he claims.
Predicting the risk of emergency admission with machine learning: Development and validation using linked electronic health records.
Rahimian F. et al, (2018), Plos med, 15
Reliability of anthropometric measurements in children with special needs.
Hardy J. et al, (2018), Arch dis child, 103, 757 - 762
Blood pressure-lowering treatment lowers mortality and cardiovascular disease risk, but whether effects differ at an arbitrary threshold of 140 mm Hg systolic blood pressure requires further research.
Canoy D. and Rahimi K., (2018), Bmj evid based med
Comparison of regional fat measurements by dual-energy X-ray absorptiometry and conventional anthropometry and their association with markers of diabetes and cardiovascular disease risk.
Vasan SK. et al, (2018), Int j obes (lond), 42, 850 - 857
Patterns and temporal trends of comorbidity among adult patients with incident cardiovascular disease in the UK between 2000 and 2014: A population-based cohort study.
Tran J. et al, (2018), Plos med, 15