dc.description.abstract | The significant rise in the comorbidity of physical conditions with mental
disorders is increasingly recognised as a public health issue. Spatial considerations
and how they interact with individual level socio-economic characteristics also
play a crucial role in influencing health outcomes. To date, most hypotheses
tend to assume that health outcomes will be poorer in urban rather than rural
areas. The aim of this paper is to examine whether the prevalence of cardiovascular
disease (CVD), depression and their comorbidity is higher across an
expanded eight category classification of urban/rural areas once the known
compositional determinants for both diseases are controlled for. It was found
that the comorbidity of CVD and depression may be explained by individuals
being exposed to spatially-variant demographic and socio-economic factors that
may predispose them to both conditions. With regard to the location variables, it
was found that health outcomes do not improve as space becomes increasingly
rural relative to a city environment; suburban and mixed urban/rural residences
bordering suburbs are consistently associated with poorer health outcomes,
relative to city locations. Furthermore, residents of small towns have poorer
health outcomes relative to city residents, whilst residents of large towns have
better health outcomes relative to city residents. Thus, this paper concludes that
health outcomes cannot be predicted on areas being dichotomously defined as
rural versus urban and that non-linearities exist in health outcomes as areas
become increasingly rural. | en_GB |