Diet, Data and Interventions Group
The Diet, Data and Interventions group uses big data techniques to map the food system and evaluate interventions aimed at improving the healthiness and sustainability of diets.
We are interested in policy-level and community-level interventions, changes in food retail environments and digital behaviour change interventions, but our main focus is on population-level changes to the food environment. We are interested in all areas of the food system where consumers interact with food providers (e.g. retail outlets, fast food, restaurants, canteens, etc.) We evaluate interventions using experimental studies, natural experiments and scenario models.
Impact of the announcement and implementation of the UK Soft Drinks Industry Levy on sugar content, price, product size and number of available soft drinks in the UK, 2015-19: a controlled interrupted time series analysis.
PLoS Medicine, 2020;17(2):e1003025.
A systematic review, and meta-analysis, examining the prevalence of price promotions on foods and whether they are more likely to be found on less-healthy foods.
Public Health Nutrition, 2020;23(8):1281-1296.
Regulating health and nutrition claims in the UK using a nutrient profile model: an explorative modelled health impact assessment.
International Journal of Behavioural Nutrition and Physical Activity, 2019;16:18.
Big Data Institute | Li Ka Shing Centre for Health Information and Discovery
University of Oxford, Old Road Campus, Oxford OX3 7LF
Tel: +44(0)1865 617784
For our current vacancies and those within the Nuffield Department of Population Health (NDPH), please visit the NDPH Work with us page.
We welcome applications from students who wish to study for a DPhil (PhD) in a research area allied to our interests. If you are interested in studying with us, we would like to hear from you. A list of current proposed DPhil projects can be found on the NDPH website.