B4766 - Using Shopping Data to Explore the Impact of COVID-19 on Mental Health - 12/12/2024

B number: 
B4766
Principal applicant name: 
Romana Burgess | University of Bristol
Co-applicants: 
Dr Anya Skatova, Dr Laura Fryer
Title of project: 
Using Shopping Data to Explore the Impact of COVID-19 on Mental Health
Proposal summary: 

This project will use shopping data to explore COVID-19's impact on mental health. Previous research (Kwong et al., 2020) showed increased anxiety for ALSPAC participants during the pandemic, while depression remained stable. We build on this by introducing novel behavioural data from loyalty cards, which offer detailed, objective insights into individual purchasing behaviours. Supermarket data captures individual behaviours through the purchase of food, alcohol, tobacco, and over-the-counter medications—key indicators of coping mechanisms during periods of stress and anxiety (Jia et al., 2020). This project will look at purchase patterns before, during and after the pandemic. We will compare these purchasing patterns with mental health data from self-reports and medical records, enabling us to better understand the breadth and long-term effects of COVID-19 on population mental health.

Kwong et al. (2020): Mental health before and during the COVID-19 pandemic in two longitudinal UK population cohorts - PMC (nih.gov))
Jia et al. (2002): Mental health in the UK during the COVID-19 pandemic: cross-sectional analyses from a community cohort study

Impact of research: 
Our research aims to benefit the health and care system by identifying patterns in shopping behaviour, such as increased painkiller use or alcohol consumption, that may signal worsening mental health. This could enable earlier detection and intervention, improving outcomes for individuals. Historically, research on these lifestyle choices relied on self-report data, which is prone to biases. By using objective shopping data, this study would offer a novel approach to uncovering lifestyle choices linked to mental health, providing healthcare professionals with actionable insights to inform timely and targeted support.
Date proposal received: 
Tuesday, 3 December, 2024
Date proposal approved: 
Tuesday, 3 December, 2024
Keywords: 
Statistics/methodology, Addiction - e.g. alcohol, illicit drugs, smoking, gambling, etc., Behaviour - e.g. antisocial behaviour, risk behaviour, etc., Mental health, Pain, Statistical methods, Linkage, Statistical methods