title: Area variations in multiple morbidity using a life table methodology.
abstract: Analysis of healthy life expectancy is typically based on a binary distinction between health and ill-health. By contrast, this paper considers spatial modelling of disease free life expectancy taking account of the number of chronic conditions. Thus the analysis is based on population sub-groups with no disease, those with one disease only, and those with two or more diseases (multiple morbidity). Data on health status is accordingly modelled using a multinomial likelihood. The analysis uses data for 258 small areas in north London, and shows wide differences in the disease burden related to multiple morbidity. Strong associations between area socioeconomic deprivation and multiple morbidity are demonstrated, as well as strong spatial clustering.
authors.affiliation: School of Geography and Life Sciences Institute, Queen Mary University of London, London, UK.
authors.forename: Peter
authors.initials: P
authors.lastname: Congdon
keywords: Bayesian; Deprivation; Disease free life expectancy; Multinomial; Multiple morbidity; Spatial