Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/81263
Citations
Scopus Web of Science® Altmetric
?
?
Type: Journal article
Title: Area-level socioeconomic characteristics and incidence of metabolic syndrome: a prospective cohort study
Author: Ngo, A.
Paquet, C.
Howard, N.
Coffee, N.
Adams, R.
Taylor, A.
Daniel, M.
Citation: BMC Public Health, 2013; 13(1):1-11
Publisher: BioMed Central Ltd.
Issue Date: 2013
ISSN: 1471-2458
1471-2458
Statement of
Responsibility: 
Anh D Ngo, Catherine Paquet, Natasha J Howard, Neil T Coffee, Robert Adams, Anne Taylor and Mark Daniel
Abstract: BACKGROUND The evidence linking socioeconomic environments and metabolic syndrome (MetS) has primarily been based on cross-sectional studies. This study prospectively examined the relationships between area-level socioeconomic position (SEP) and the incidence of MetS. METHODS A prospective cohort study design was employed involving 1,877 men and women aged 18+ living in metropolitan Adelaide, Australia, all free of MetS at baseline. Area-level SEP measures, derived from Census data, included proportion of residents completing a university education, and median household weekly income. MetS, defined according to International Diabetes Federation, was ascertained after an average of 3.6 years follow up. Associations between each area-level SEP measure and incident MetS were examined by Poisson regression Generalised Estimating Equations models. Interaction between area- and individual-level SEP variables was also tested. RESULTS A total of 156 men (18.7%) and 153 women (13.1%) developed MetS. Each percentage increase in the proportion of residents with a university education corresponded to a 2% lower risk of developing MetS (age and sex-adjusted incidence risk ratio (RR) = 0.98; 95% confidence interval (CI) =0.97-0.99). This association persisted after adjustment for individual-level income, education, and health behaviours. There was no significant association between area-level income and incident MetS overall. For the high income participants, however, a one standard deviation increase in median household weekly income was associated with a 29% higher risk of developing MetS (Adjusted RR = 1.29; 95%CI = 1.04-1.60). CONCLUSIONS While area-level education was independently and inversely associated with the risk of developing MetS, the association between area-level income and the MetS incidence was modified by individual-level income.
Keywords: Metabolic syndrome; Incidence; Socioeconomic status; Income; Education; Cohort study; Residence characteristics
Rights: © 2013 Ngo et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
RMID: 0020131464
DOI: 10.1186/1471-2458-13-681
Appears in Collections:Medicine publications

Files in This Item:
File Description SizeFormat 
hdl_81263.pdfPublished version217.71 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.