Area-level socioeconomic status and incidence of abnormal glucose metabolism

the Australian Diabetes, Obesity and Lifestyle (AusDiab) study

Emily D. Williams, Dianna J. Magliano, Paul Z. Zimmet, Anne M Kavanagh, Christopher E Stevenson, Brian F. Oldenburg, Jonathan E. Shaw

Research output: Contribution to journalArticleResearchpeer-review

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Abstract

OBJECTIVEdTo examine the role of area-level socioeconomic status (SES) on the development
of abnormal glucose metabolism (AGM) using national, population-based data.
RESEARCH DESIGN AND METHODSdThe Australian Diabetes, Obesity and Lifestyle
(AusDiab) study is a national, population-based, longitudinal study of adults aged $25 years. A
sample of 4,572 people provided complete baseline (1999 to 2000) and 5-year follow-up (2004
to 2005) data relevant for these analyses. Incident AGM was assessed using fasting plasma
glucose and 2-h plasma glucose from oral glucose tolerance tests, and demographic, socioeconomic,
and behavioral data were collected by interview and questionnaire. Area SES was defined
using the Index of Relative Socioeconomic Disadvantage. Generalized linear mixed models were
used to examine the relationship between area SES and incident AGM, with adjustment for
covariates and correction for cluster design effects.
RESULTSdArea SES predicted the development of AGM, after adjustment for age, sex, and
individual SES. People living in areas with the most disadvantage were significantly more likely to
develop AGM, compared with those living in the least deprived areas (odds ratio 1.53; 95% CI
1.07–2.18). Health behaviors (in particular, physical activity) and central adiposity appeared to
partially mediate this relationship.
CONCLUSIONSdOur findings suggest that characteristics of the physical, social, and economic
aspects of local areas influence diabetes risk. Future research should focus on identifying
the aspects of local environment that are associated with diabetes risk and how they might be
modified.
Original languageEnglish
Pages (from-to)1455-1461
Number of pages7
JournalDiabetes Care
Volume35
Issue number7
DOIs
Publication statusPublished - Jul 2012

Cite this

@article{961bc603b6ad4f02938e99129080aec3,
title = "Area-level socioeconomic status and incidence of abnormal glucose metabolism: the Australian Diabetes, Obesity and Lifestyle (AusDiab) study",
abstract = "OBJECTIVEdTo examine the role of area-level socioeconomic status (SES) on the developmentof abnormal glucose metabolism (AGM) using national, population-based data.RESEARCH DESIGN AND METHODSdThe Australian Diabetes, Obesity and Lifestyle(AusDiab) study is a national, population-based, longitudinal study of adults aged $25 years. Asample of 4,572 people provided complete baseline (1999 to 2000) and 5-year follow-up (2004to 2005) data relevant for these analyses. Incident AGM was assessed using fasting plasmaglucose and 2-h plasma glucose from oral glucose tolerance tests, and demographic, socioeconomic,and behavioral data were collected by interview and questionnaire. Area SES was definedusing the Index of Relative Socioeconomic Disadvantage. Generalized linear mixed models wereused to examine the relationship between area SES and incident AGM, with adjustment forcovariates and correction for cluster design effects.RESULTSdArea SES predicted the development of AGM, after adjustment for age, sex, andindividual SES. People living in areas with the most disadvantage were significantly more likely todevelop AGM, compared with those living in the least deprived areas (odds ratio 1.53; 95{\%} CI1.07–2.18). Health behaviors (in particular, physical activity) and central adiposity appeared topartially mediate this relationship.CONCLUSIONSdOur findings suggest that characteristics of the physical, social, and economicaspects of local areas influence diabetes risk. Future research should focus on identifyingthe aspects of local environment that are associated with diabetes risk and how they might bemodified.",
author = "Williams, {Emily D.} and Magliano, {Dianna J.} and Zimmet, {Paul Z.} and Kavanagh, {Anne M} and Stevenson, {Christopher E} and Oldenburg, {Brian F.} and Shaw, {Jonathan E.}",
year = "2012",
month = "7",
doi = "10.2337/dc11-1410",
language = "English",
volume = "35",
pages = "1455--1461",
journal = "Diabetes Care",
issn = "0149-5992",
publisher = "Am Diabetes Assoc",
number = "7",

}

Area-level socioeconomic status and incidence of abnormal glucose metabolism : the Australian Diabetes, Obesity and Lifestyle (AusDiab) study. / Williams, Emily D.; Magliano, Dianna J.; Zimmet, Paul Z.; Kavanagh, Anne M; Stevenson, Christopher E; Oldenburg, Brian F.; Shaw, Jonathan E.

In: Diabetes Care, Vol. 35, No. 7, 07.2012, p. 1455-1461.

Research output: Contribution to journalArticleResearchpeer-review

TY - JOUR

T1 - Area-level socioeconomic status and incidence of abnormal glucose metabolism

T2 - the Australian Diabetes, Obesity and Lifestyle (AusDiab) study

AU - Williams, Emily D.

AU - Magliano, Dianna J.

AU - Zimmet, Paul Z.

AU - Kavanagh, Anne M

AU - Stevenson, Christopher E

AU - Oldenburg, Brian F.

AU - Shaw, Jonathan E.

PY - 2012/7

Y1 - 2012/7

N2 - OBJECTIVEdTo examine the role of area-level socioeconomic status (SES) on the developmentof abnormal glucose metabolism (AGM) using national, population-based data.RESEARCH DESIGN AND METHODSdThe Australian Diabetes, Obesity and Lifestyle(AusDiab) study is a national, population-based, longitudinal study of adults aged $25 years. Asample of 4,572 people provided complete baseline (1999 to 2000) and 5-year follow-up (2004to 2005) data relevant for these analyses. Incident AGM was assessed using fasting plasmaglucose and 2-h plasma glucose from oral glucose tolerance tests, and demographic, socioeconomic,and behavioral data were collected by interview and questionnaire. Area SES was definedusing the Index of Relative Socioeconomic Disadvantage. Generalized linear mixed models wereused to examine the relationship between area SES and incident AGM, with adjustment forcovariates and correction for cluster design effects.RESULTSdArea SES predicted the development of AGM, after adjustment for age, sex, andindividual SES. People living in areas with the most disadvantage were significantly more likely todevelop AGM, compared with those living in the least deprived areas (odds ratio 1.53; 95% CI1.07–2.18). Health behaviors (in particular, physical activity) and central adiposity appeared topartially mediate this relationship.CONCLUSIONSdOur findings suggest that characteristics of the physical, social, and economicaspects of local areas influence diabetes risk. Future research should focus on identifyingthe aspects of local environment that are associated with diabetes risk and how they might bemodified.

AB - OBJECTIVEdTo examine the role of area-level socioeconomic status (SES) on the developmentof abnormal glucose metabolism (AGM) using national, population-based data.RESEARCH DESIGN AND METHODSdThe Australian Diabetes, Obesity and Lifestyle(AusDiab) study is a national, population-based, longitudinal study of adults aged $25 years. Asample of 4,572 people provided complete baseline (1999 to 2000) and 5-year follow-up (2004to 2005) data relevant for these analyses. Incident AGM was assessed using fasting plasmaglucose and 2-h plasma glucose from oral glucose tolerance tests, and demographic, socioeconomic,and behavioral data were collected by interview and questionnaire. Area SES was definedusing the Index of Relative Socioeconomic Disadvantage. Generalized linear mixed models wereused to examine the relationship between area SES and incident AGM, with adjustment forcovariates and correction for cluster design effects.RESULTSdArea SES predicted the development of AGM, after adjustment for age, sex, andindividual SES. People living in areas with the most disadvantage were significantly more likely todevelop AGM, compared with those living in the least deprived areas (odds ratio 1.53; 95% CI1.07–2.18). Health behaviors (in particular, physical activity) and central adiposity appeared topartially mediate this relationship.CONCLUSIONSdOur findings suggest that characteristics of the physical, social, and economicaspects of local areas influence diabetes risk. Future research should focus on identifyingthe aspects of local environment that are associated with diabetes risk and how they might bemodified.

UR - http://www.ncbi.nlm.nih.gov/pubmed/22619081

U2 - 10.2337/dc11-1410

DO - 10.2337/dc11-1410

M3 - Article

VL - 35

SP - 1455

EP - 1461

JO - Diabetes Care

JF - Diabetes Care

SN - 0149-5992

IS - 7

ER -