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Diet, Data and Interventions Group

Research projects

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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.

Nutrient composition databases in the age of big data: foodDB, a comprehensive, real-time database infrastructure.
BMJ Open, 2019;9:e026652

Reductions in sugar sales from soft drinks in the UK from 2015-2018.
BMC Medicine, 2020;18:20.

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.

PRIMEtime CE: a multistate life table model for estimating the cost-effectiveness of interventions affecting diet and physical activity.
BMC Health Services Research, 2019;19:485.

Estimating the potential impacts of the Public Health England Sugar Reduction Strategy on child and adult health: a modelling study.
BMJ, 2019;365:l1417.

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.

A health impact assessment of the UK soft drinks industry levy: a comparative risk assessment modelling study.
The Lancet Public Health, 2017;2(1):e15-e22.

The Eatwell Guide: modelling the dietary and cost implications of incorporating new sugar and fibre guidelines.
BMJ Open, 2016;6:e013182.


Contact us

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