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Supervisors: Dr Asha Kaur (NDPCHS), Dr Jessica Renzella (NDPCHS), Prof Mike Rayner (NDPH), Dr John Buckell (NDPH)


Unhealthy diets are a major cause of ill health. Unsustainable diets are also contributing to the climate and nature emergencies. Food labelling policies could improve both the healthiness and environmental impact of diets through influencing consumer choice, food availability decisions by retailers, new product development and reformulation by manufacturers, etc.

Sustainability claims (one aspect of food labelling) are messages or representations, which, in any form, state, suggest or imply that a food has particular characteristics related to its impact on human health, animal welfare, the environment or social wellbeing,

In previous research we have found that health-related sustainability claims (HRSCs) (e.g. 'low fat', 'good for the heart) have a significant impact on dietary choices but that foods with HRSCs only have a marginally better nutritional profile than foods without such claims. However, this research used 2013 data collected from packets by hand.

As well as HRSCs for foods, there seems to be a growing number of environment-related sustainability claims (ERSCs) (e.g. 'low-carbon', 'eco-friendly'). It is unclear what impact ERSCs have on the healthiness and sustainability of diets and whether regulation of such claims is necessary to prevent so called 'green washing'. (NB there are already fairly strict regulations for HRSCs).

The project

The proposed project will start by estimating the prevalence of HRSCs and ERSCs in the UK and the composition of foods carrying such claims. This will involve using data from the foodDB database developed by Oxford researchers. The foodDB database contains data (and metadata) on all foods and drinks available in nine UK online supermarkets collected weekly since November 2017.

The project will then involve exploring the health and environmental impacts of HRSCs and ERSCs firstly by comparing foods with and without such claims using validated scores of the healthiness and environmental impact of foods and secondly by modelling impact of consuming foods with and without claims. This last stage of the project will involve models developed by Oxford researchers such as the Preventable Risk Integrated Model (PRIME) The project could well involve other ways of assessing the impact of claims such as discrete choice experiments.



The student will be mainly based at NDPCHS. NDPCHS researchers have considerable experience of working with foodDB data and appropriate impact models such as PRIME. The department also makes available a range of training courses in quantitative research.

The ideal candidate will have a Masters degree in a relevant area and will have experience working with large datasets, strong quantitative analysis skills, and an interest in diet and public health.

If you are interested in applying for this project, please contact one or more of the named supervisors by email with a copy of your CV.

Please note that this project is not funded but the successful applicant will be eligible for departmental/university funding.