B2443 - Methodological toolkit for using digital devices to capture predictive patterns of health behaviours in cohort studies - 14/05/2015

B number: 
B2443
Principal applicant name: 
Dr Andy Skinner (University of Bristol, UK)
Co-applicants: 
Prof Kate Tilling (University of Bristol, UK), Dr Tom Gaunt (University of Bristol, UK), Prof Marcus Munafo (University of Bristol, UK), Prof Debbie A Lawlor (University of Bristol, UK), Prof Madeleine Murtagh (University of Bristol, UK)
Title of project: 
Methodological toolkit for using digital devices to capture predictive patterns of health behaviours in cohort studies
Proposal summary: 

Aims

This project will develop new methods for capturing and analysing health behaviour data from digital devices in cohort studies. It will address specific research questions around identifying patterns of behaviours that predict the start and stop of certain behaviours, including smoking, drinking and snack eating. The underlying methods will be developed in ALSPAC and one other ERSC resourced cohort study (e.g. Understanding Society), and will be designed such they can, through the ESRC's National Centre for Research Methods (NCRM), be adopted by a wider set of cohort studies.

Date proposal received: 
Thursday, 14 May, 2015
Date proposal approved: 
Thursday, 14 May, 2015
Keywords: 
Primary keyword: 
Methodology