title: Understanding geographical inequities in diabetes: multilevel evidence from 114,755 adults in Sydney, Australia.
abstract: Multilevel analysis revealed the odds of having diabetes varied geographically by 42% among 114,755 persons. Approximately 9% of this variation was attributable to behavioural risk factors, 41% due to health status and obesity, 26% due to socioeconomic circumstances and 13% to country of birth. Contextual risk factors warrant future investigation.
authors.affiliation: School of Science and Health, University of Western Sydney, Australia; School of Geography and Geosciences, University of St Andrews, United Kingdom. Electronic address: T.Astell-Burt@uws.edu.au.
authors.forename: Thomas
authors.initials: T
authors.lastname: Astell-Burt
authors.affiliation: School of Health and Society, University of Wollongong, Australia; Boden Institute of Obesity, Nutrition, Exercise and Eating Disorders, University of Sydney, Australia; Menzies Centre for Health Policy, University of Sydney, Australia.
authors.forename: Xiaoqi
authors.initials: X
authors.lastname: Feng
authors.affiliation: School of Science and Health, University of Western Sydney, Australia.
authors.forename: Gregory S
authors.initials: GS
authors.lastname: Kolt
authors.affiliation: Clinical School, University of Western Sydney and Western Sydney Local Health District, Australia.
authors.forename: Mark
authors.initials: M
authors.lastname: McLean
authors.affiliation: Clinical School, University of Western Sydney and Western Sydney Local Health District, Australia.
authors.forename: Glen
authors.initials: G
authors.lastname: Maberly
mesh_terms: D000368:Aged; D001315:Australia / Q000453:epidemiology; D003920:Diabetes Mellitus / Q000453:epidemiology*; D005260:Female; D006304:Health Status; D006801:Humans; D008019:Life Style; D008297:Male; D008875:Middle Aged; D055361:Multilevel Analysis; D009765:Obesity; D015995:Prevalence; D012307:Risk Factors; D012923:Social Class
keywords: Geographical inequity; Multilevel modelling; Person-level risk factors