Understanding geographical inequities in diabetes : multilevel evidence from 114,755 adults in Sydney, Australia

Thomas Astell-Burt; Xiaoqi Feng; Gregory S. Kolt; Mark McLean; Glen Maberly

doi:10.1016/j.diabres.2014.09.033

Understanding geographical inequities in diabetes : multilevel evidence from 114,755 adults in Sydney, Australia

Thomas Astell-Burt, Xiaoqi Feng, Gregory S. Kolt, Mark McLean, Glen Maberly

School of Medicine

Research output: Contribution to journal › Article › peer-review

33 Citations (Scopus)

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.

Original language	English
Pages (from-to)	e68-e73
Number of pages	6
Journal	Diabetes Research and Clinical Practice
Volume	106
Issue number	3
DOIs	https://doi.org/10.1016/j.diabres.2014.09.033
Publication status	Published - 2014

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.diabres.2014.09.033

Cite this

@article{f2f7e1b5f0c040029bf5584318eeae03,

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.",

author = "Thomas Astell-Burt and Xiaoqi Feng and Kolt, {Gregory S.} and Mark McLean and Glen Maberly",

year = "2014",

doi = "10.1016/j.diabres.2014.09.033",

language = "English",

volume = "106",

pages = "e68--e73",

journal = "Diabetes Research and Clinical Practice",

issn = "0168-8227",

publisher = "Elsevier Ireland Ltd",

number = "3",

}

TY - JOUR

T1 - Understanding geographical inequities in diabetes : multilevel evidence from 114,755 adults in Sydney, Australia

AU - Astell-Burt, Thomas

AU - Feng, Xiaoqi

AU - Kolt, Gregory S.

AU - McLean, Mark

AU - Maberly, Glen

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

UR - http://handle.uws.edu.au:8081/1959.7/564439

U2 - 10.1016/j.diabres.2014.09.033

DO - 10.1016/j.diabres.2014.09.033

M3 - Article

SN - 0168-8227

VL - 106

SP - e68-e73

JO - Diabetes Research and Clinical Practice

JF - Diabetes Research and Clinical Practice

IS - 3

ER -

Understanding geographical inequities in diabetes : multilevel evidence from 114,755 adults in Sydney, Australia

Abstract

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this