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

Journal Article


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.

Publication Date


  • 2014

Citation


  • Astell-Burt, T., Feng, X., Kolt, G. S., McLean, M. & Maberly, G. (2014). Understanding geographical inequities in diabetes: Multilevel evidence from 114,755 adults in Sydney, Australia. Diabetes Research and Clinical Practice, 106 (3), e68-e73.

Scopus Eid


  • 2-s2.0-84920716102

Ro Metadata Url


  • http://ro.uow.edu.au/sspapers/1281

Start Page


  • e68

End Page


  • e73

Volume


  • 106

Issue


  • 3

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.

Publication Date


  • 2014

Citation


  • Astell-Burt, T., Feng, X., Kolt, G. S., McLean, M. & Maberly, G. (2014). Understanding geographical inequities in diabetes: Multilevel evidence from 114,755 adults in Sydney, Australia. Diabetes Research and Clinical Practice, 106 (3), e68-e73.

Scopus Eid


  • 2-s2.0-84920716102

Ro Metadata Url


  • http://ro.uow.edu.au/sspapers/1281

Start Page


  • e68

End Page


  • e73

Volume


  • 106

Issue


  • 3