ArticleBMC public health2013
Area-level socioeconomic characteristics and incidence of metabolic syndrome: a prospective cohort study.
Article in BMC public health, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 26 citations in OpenAlex.
- Trial
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- Associations between dimensions of the social environment and cardiometabolic risk factors: Systematic review and meta-analysis.SSM - population health · 2024Review
- Incidence and predictors of metabolic syndrome in Asian-Indians: a 10-year population-based prospective cohort study.International journal of diabetes in developing countries · 2023Article
- Socioeconomic Inequalities in Metabolic Syndrome by Age and Gender in a Spanish Working Population.International journal of environmental research and public health · 2021Article
- The impact of educational attainment on cardiorespiratory fitness and metabolic syndrome in Korean adults.Medicine · 2020Observational
- Age and gender-specific distribution of metabolic syndrome components in East China: role of hypertriglyceridemia in the SPECT-China study.Lipids in health and disease · 2018Article
- Community Socioeconomic Disadvantage in Midlife Relates to Cortical Morphology via Neuroendocrine and Cardiometabolic Pathways.Cerebral cortex (New York, N.Y. : 1991) · 2017Article
- Familial Aggregation of Metabolic Syndrome With Different Socio-Behavioral Characteristics: The Fourth Phase of Tehran Lipid and Glucose Study.Iranian Red Crescent medical journal · 2016Article
- Geographic Clustering of Cardiometabolic Risk Factors in Metropolitan Centres in France and Australia.International journal of environmental research and public health · 2016Article
- Individual- and neighborhood-level education influences the effect of obesity on prostate cancer treatment failure after prostatectomy.Cancer causes & control : CCC · 2015Article
- The association of neighborhood characteristics with obesity and metabolic conditions in older women.The journal of nutrition, health & aging · 2014Article
- Article
- Association Between Socioeconomic Determinants and the Metabolic Syndrome in the German Health Interview and Examination Survey for Adults (DEGS1) - A Mediation Analysis.The review of diabetic studies : RDSArticle
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe 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.
methodsA 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.
resultsA 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).
conclusionsWhile 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.
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Registered trials
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