A Multilevel Model for Comorbid Outcomes: Obesity and Diabetes in the USReportar como inadecuado




A Multilevel Model for Comorbid Outcomes: Obesity and Diabetes in the US - Descarga este documento en PDF. Documentación en PDF para descargar gratis. Disponible también para leer online.

Department of Geography and Centre for Statistics, Queen Mary University of London, Mile End Rd, London E1 4NS, UK





Abstract Multilevel models are overwhelmingly applied to single health outcomes, but when two or more health conditions are closely related, it is important that contextual variation in their joint prevalence e.g., variations over different geographic settings is considered. A multinomial multilevel logit regression approach for analysing joint prevalence is proposed here that includes subject level risk factors e.g., age, race, education while also taking account of geographic context. Data from a US population health survey the 2007 Behavioral Risk Factor Surveillance System or BRFSS are used to illustrate the method, with a six category multinomial outcome defined by diabetic status and weight category obese, overweight, normal. The influence of geographic context is partly represented by known geographic variables e.g., county poverty, and partly by a model for latent area influences. In particular, a shared latent variable common factor approach is proposed to measure the impact of unobserved area influences on joint weight and diabetes status, with the latent variable being spatially structured to reflect geographic clustering in risk. View Full-Text

Keywords: diabetes; obesity; multilevel; multinomial; latent variable; spatial; poverty diabetes; obesity; multilevel; multinomial; latent variable; spatial; poverty





Autor: Peter Congdon

Fuente: http://mdpi.com/



DESCARGAR PDF




Documentos relacionados