Area-level socioeconomic characteristics and incidence of metabolic syndrome: a prospective cohort study

作者：Ngo Anh D^*; Paquet Catherine; Howard Natasha J; Coffee Neil T; Adams Robert; Taylor Anne; Daniel Mark

来源：BMC Public Health, 2013, 13(1): 681.

DOI：10.1186/1471-2458-13-681

• Metabolic syndrome
• Incidence
• Socioeconomic status
• Income
• Education
• Cohort study
• Residence characteristics

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. %26lt;br%26gt;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. %26lt;br%26gt;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). %26lt;br%26gt;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.

• 出版日期2013-7-25