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)

SDG 3 Good Health and Well-being

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10.1016/j.diabres.2014.09.033

Cite this

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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.",

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AU - Kolt, Gregory S.

AU - McLean, Mark

AU - Maberly, Glen

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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

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DO - 10.1016/j.diabres.2014.09.033

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JO - Diabetes Research and Clinical Practice

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IS - 3

ER -

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

Abstract

UN SDGs

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