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To focus on the social determinants of health, the working group determined that it was critical to move beyond an analysis exclusively based on race/ethnicity and to take advantage of having the residence address of case-patients.
Few studies have used the more accurate exposure model which determines the exact traffic flow within a circular buffer surrounding the residential address of cases.
We geocoded the residential addresses of case and control mothers based on their postal code and street number using MapInfo (professional version 8.5; MapInfo Corporation, New York, NY, USA).
Practices need to address issues of case load when incorporating health coaching [ 41].
Equal proportions of addresses of cases and controls were geocoded in each of these categories.
Postcodes of birth addresses of cases were assigned to wards and county districts (MIMAS, 2002).
There was exact geocoding match for 30.1 % of the addresses of cases against 29.2%% of the addresses of controls.
Residential addresses of cases and controls from 1971 to 2003 were collected from the Civil Registration System and geo-coded.
Addresses of case-patients were geocoded to census tracts and linked to census tract level SES data.
Residential addresses of cases were geo-coded to the census tract level with Geographic Information Systems (ArcGIS) technology [ 25].
The residential addresses of cases and controls ascertained at the time of diagnosis (i.e., 1996) were linked to the exposure surface.
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