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Rebecca Allan and Paul Williamson, University of Liverpool and Hill Kulu, University of St Andrews
(Project no. 0301790, previously 30179)
The aim of this project is to investigate mortality differentials across residential contexts within Britain, examining whether such variations are a result of contextual or compositional influences. We will utilise survival analysis to calculate mortality rates with and without controlling for socio-economic and demographic characteristics. Further, we will investigate variations in cause specific mortality over the different locations.
The risk population will be all male and females aged 18+ at the 2001 census.
Statistical purpose: matching data sets, survival analysis, individual level longitudinal data.
The aim of this project is to investigate the varying mortality patterns across the rural-urban continuum within Britain. Further, we plan to investigate whether such variations are a result of contextual factors i.e. the surrounding environment, or simply the composition of the population inhabiting each residence. Rather than utilising a simple urban-rural dichotomy as in existing research, we plan to utilise more sophisticated area classifications based on the ONS urban-rural typology, population density thresholds and geodem classes. Utilising survival analysis and multilevel modelling, we will calculate the mortality rates within each residential category, with and without controlling for socio-economic and demographic characteristics, calculating to what extent the mortality variation can be attributed to the composition of each location. Furthermore, we will investigate cause specific mortality variations across the continuum, again utilising survival analysis. Access to individual level data is vital from a methodological stand point, as a set of survival models will be estimated with and without controlling for socioeconomic and demographic characteristics of the population. It is important that socio-economic variables are studied at the individual level, as academics have highlighted issues with using broad area based measures due to the heterogeneity of rural areas, as it is unlikely that pockets of rural deprivation will be uncovered.