The Bloomsbury Colleges | PhD Studentships | Studentships 2019 | Impact of changes in the food environment on food and drink purchasing using large-scale secondary data
Document Actions

Impact of changes in the food environment on food and drink purchasing using large-scale secondary data

Principal supervisor: Professor Steven Cummins (LSHTM)

Co-Supervisor: Dr Andrea Ballatore (Bbk)

Co-Supervisors: Dr Laura Cornelsen (LSHTM)

Award includes tuition fees and a stipend of £16,777 including London Weighting (at 2018/19 rates, so slightly higher for 2019 entry)

100% FTE for 3 years, from September 2019.

Project Description:

Poor diets are increasingly linked to a range of chronic diseases, including cardiovascular disease, cancer and stroke as well as dental caries, obesity and type 2 diabetes and contribute substantially to excess morbidity, mortality, and rising health-care costs (1,2). Features of the built environment, such as increased access to fast-food and poorer access to supermarkets and grocery stores, have been, in turn linked with poor diets. Although the existing body of research looking at the influence of built environment risks to diet and diet-related health outcomes is substantial, the evidence remains inconsistent and largely consists of studies from the U.S. (3). Research to date has focused on the direct effects on health and has not investigated how the specific elements of the local food environment drives purchases of specific foods and how changes in the local food environment change purchasing behaviours – a key part of the causal pathway. Part of the reason for this is limited availability of high quality data on household food purchases for consumption inside and outside of the home. This data, where available, is often cross-sectional, lacks granularity and is often unable to distinguish in sufficient detail from which outlets foods have been purchased.

 

Aims:

 

The aim of this project is to explore whether different elements of the local food environment are associated with changes in purchasing of food and drinks for consumption both inside and outside homes over time and how these may influence diet and dietary outcomes.

 

Objectives

 

1.         To construct novel time-varying relative and absolute measures of the local food environment and matched with data on household food purchasing.

 

2.         Examine cross-sectional and longitudinal associations between features of the local food environment and household food and drink purchasing for consumption both in- and outside of the home.

 

3.         Analyse whether these effects are distributed and whether they are modified by markers of socio-economic position, product price and household composition.

 

4.  Utilise the effects of changes in purchasing behaviour to estimate the effect on diet-related health outcomes.

 

 

To achieve these objectives, the PhD will take advantage of access to a unique highly disaggregated large-scale commercial dataset on household food and drink purchases for consumption inside and outside homes (Kantar Worldpanel). The dataset comprises product-level scanner information on food purchases for 30,000 UK households for the period 2012-2017 (c210 million observations). These data will be linked through geocoding with measures of the social and built food environment exposures as well as undertaking georeferenced sentiment analysis of social media data. A key part of the thesis will be the creation of these novel environmental exposures by the student based on existing geospatial data on food businesses (e.g. OS Points of Interest, FSA outlet data). A range of advanced statistical and economic models will be employed to undertake analyses including the use of longitudinal and spatial regression methods, and methods to undertake health impact modelling.

 

Candidate Profile

We invite applications from outstanding and highly motivated students who have a Masters degree in epidemiology, quantitative social/geographical science, GIScience, data science, social/medical statistics, modelling or similar with a substantial quantitative component. An undergraduate degree (1st class honours or 2.1) in a relevant discipline with demonstrable strong quantitative component is desirable.

 

The studentship only covers fees at the Home/EU rate.

Subject Areas/Keywords:

Subject areas: epidemiology, economics, geography, statistics, population health

 

Keywords: food environment, diet, obesity, neighbourhood, built environment

Key References:

1. Ng M, Fleming T, Robinson M, et al. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet 2014; 384: 766–81.

 

2 Dobbs R, Sawers C, Thompson F, et al. Overcoming obesity: an initial economic analysis. London: McKinsey & Company, 2014.

 

3. Cummins S, & Macintyre S. Food environments and obesity: neighbourhood or nation? International Journal of Obesity 2006; 35(1) 100-104

Principal Supervisor: Professor Steven Cummins

Co-Supervisor: Dr Laura Cornelsen & Dr Andrea Ballatore

Further information about PhDs at LSHTM is available from:

https://www.lshtm.ac.uk/study/courses/research-degrees/mphil-phd

Application forms and details about how to apply are available from:

https://www.lshtm.ac.uk/study/courses/research-degrees/mphil-phd#how-to-apply

 

Please contact scholarships@lshtm.ac.uk for queries related to the submission of the application, alongside with the Principal Supervisor: steven.cummins@lshtm.ac.uk

 

Please use the standard LSHTM online application system to apply for this studentship and state clearly under the funding section that you are applying for this particular studentship. Since you are applying for an existing project, you don't need to include a research proposal, so please instead upload a document which states that you are applying for this studentship.

 

If your fee status will not be assessed as Home/EU please provide an explanation on how you plan to fund the difference between the Home/EU fee rate and the Overseas fee rat

 

 

Closing date for applications is: Monday 8th April 2019