B2705 - Cohort Studies resources for investigating health outcomes using environmental data - 03/05/2017

B number: 
B2705
Principal applicant name: 
Andy Boyd | University of Bristol
Co-applicants: 
John Macleod, Caroline Taylor, Anna Hansell, Jean Golding, Alison Park
Title of project: 
Cohort Studies: resources for investigating health outcomes using environmental data
Proposal summary: 

Cohort studies provide an ideal resource for the investigation of how the exposures people receive from the natural environment (for example, the pollutants in the air we breath) effect our health and development. This is the case as cohorts collect large volumes of information about a group of people over long periods of time (enough time for environmental exposures to manifest themselves in health/development outcomes), while maintaining records of where people live (attend school, work etc) during this time. However, the potential for this type of research is limited for three main reasons: 1) typically historical environmental data are difficult to locate and interpret; 2) cohort data managers are unfamiliar with the techniques needed to link environmental records to their participants; 3) there are concerns that using geo-spatial data (e.g. postcode) may reveal participants identity and risk the confidentiality of the information they have provided to the study. This feasibility project will look to address these three limitations by: 1) cataloguing the available data; 2) conducting exemplar linkage projects to refine and document linkage techniques, and 3) assess the disclosure risk present in this type of research and to implement effective measures to deal with these risks. The exemplar research will investigate the impact of air pollution (specifically NOx) on lung function and, separately, the impact of living in proximity of a crematoria on maternal blood mercury levels in pregnancy.

Date proposal received: 
Wednesday, 22 June, 2016
Date proposal approved: 
Friday, 1 July, 2016
Keywords: 
Record Linkage; Environmental Sciences, Record Linkage, Biomarkers - e.g. cotinine, fatty acids, haemoglobin, etc., Cohort studies - attrition, bias, participant engagement, ethics, Environment - enviromental exposure, pollution, Record Linkage