Supervisors
Programme(s)
Summary
The nutritional epidemiology programme has a range of topics available on investigating the links between dietary and nutritional factors and diabetes, obesity and related metabolic disorders. We have access to data on both self-reported and objectively assessed nutritional biomarkers, and we are interested in identifying novel biomarkers of dietary intake or nutritional status using ‘omics data. We will provide supervision either solely from within the nutritional epidemiology team (Professor Nita Forouhi, Dr Fumiaki Imamura), or including co-supervision from other Unit programmes, as we also have opportunities for working collaboratively across Unit programmes to bring together questions on dietary factors and physical activity (with Dr Soren Brage), or the interplay between dietary factors and genetic risk for diabetes (with Professor Nick Wareham and Dr Claudia Langenberg). Some examples of the projects that were undertaken previously are illustrated by the publications below.
References
- Dietary Diversity, Diet Cost, and Incidence of Type 2 Diabetes in the United Kingdom: A Prospective Cohort Study. Conklin AI, Monsivais P, Khaw KT, Wareham NJ, Forouhi NG. PLoS Med. 2016;13(7):e1002085. PMID: 27433799
- Prospective association of the Mediterranean diet with cardiovascular disease incidence and mortality and its population impact in a non-Mediterranean population: the EPIC-Norfolk study. Tong TY, Wareham NJ, Khaw KT, Imamura F, Forouhi NG. BMC Med. 2016;14(1):135. PMID: 27679997
- Association between plasma phospholipid saturated fatty acids and metabolic markers of lipid, hepatic, inflammation and glycaemic pathways in eight European countries: a cross-sectional analysis in the EPIC-InterAct study. Zheng JS, Sharp SJ, Imamura F, Koulman A, Schulze MB, Ye Z et al. BMC Med. 2017;15(1):203. PMID: 29145892
- Interplay between genetic predisposition, macronutrient intake and type 2 diabetes incidence: analysis within EPIC-InterAct across eight European countries. Li SX, Imamura F, Schulze MB, Zheng J, Ye Z, Agudo A, et al. Diabetologia. 2018;61(6):1325-1332. PMID: 29549418