Research output: Contribution to journal › Article › Academic › peer-review
Educational inequalities in metabolic syndrome vary by ethnic group: Evidence from the SUNSET study. / Agyemang, Charles; van Valkengoed, Irene; Hosper, Karen et al.
In: International journal of cardiology, Vol. 141, No. 3, 2010, p. 266-274.Research output: Contribution to journal › Article › Academic › peer-review
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TY - JOUR
T1 - Educational inequalities in metabolic syndrome vary by ethnic group: Evidence from the SUNSET study
AU - Agyemang, Charles
AU - van Valkengoed, Irene
AU - Hosper, Karen
AU - Nicolaou, Mary
AU - van den Born, Bert-Jan
AU - Stronks, Karien
PY - 2010
Y1 - 2010
N2 - Background: Compared with Whites, many ethnic minority groups have higher prevalence of metabolic syndrome. The reasons for these ethnic inequalities in health are incompletely understood. The main objective was to examine whether socio-economic position (SEP) as measured by education was related to the prevalence of metabolic syndrome in different ethnic groups in Amsterdam, The Netherlands. Methods: A random sample of healthy adults aged 35-60 years. SEP was measured by educational level (secondary school and below (low), and vocational school and above (high)). Metabolic syndrome was measured according to the International Diabetic Federation guidelines. Results: Low education was negatively related to metabolic syndrome but only in White-Dutch people. Among White-Dutch men, the age adjusted prevalence ratio (95% confidence intervals) for low education was 1.46 (95% CI: 1.01-2.10) versus high education. Among White-Dutch women, the adjusted odds ratios for low education was 2.26 (95% CI: 1.39-3.68) versus high education. In both White-Dutch men and women, low education was related to several components of metabolic syndrome. Among African-Surinamese and Hindustani-Surinamese, no significant associations were found between low education and metabolic syndrome and its components. Conclusion: Low education is associated with increased risk of metabolic syndrome among White-Dutch people but not among other ethnic groups. Community-based strategies to improve metabolic profiles may have to be ethnically devised. Among White-Dutch, targeting people with lower SEP may have an impact. However, among ethnic minority groups, both low and high socio-economic groups may have to be equally targeted to have an impact in reducing ethnic inequalities in health. (c) 2009 Elsevier Ireland Ltd. All rights reserved
AB - Background: Compared with Whites, many ethnic minority groups have higher prevalence of metabolic syndrome. The reasons for these ethnic inequalities in health are incompletely understood. The main objective was to examine whether socio-economic position (SEP) as measured by education was related to the prevalence of metabolic syndrome in different ethnic groups in Amsterdam, The Netherlands. Methods: A random sample of healthy adults aged 35-60 years. SEP was measured by educational level (secondary school and below (low), and vocational school and above (high)). Metabolic syndrome was measured according to the International Diabetic Federation guidelines. Results: Low education was negatively related to metabolic syndrome but only in White-Dutch people. Among White-Dutch men, the age adjusted prevalence ratio (95% confidence intervals) for low education was 1.46 (95% CI: 1.01-2.10) versus high education. Among White-Dutch women, the adjusted odds ratios for low education was 2.26 (95% CI: 1.39-3.68) versus high education. In both White-Dutch men and women, low education was related to several components of metabolic syndrome. Among African-Surinamese and Hindustani-Surinamese, no significant associations were found between low education and metabolic syndrome and its components. Conclusion: Low education is associated with increased risk of metabolic syndrome among White-Dutch people but not among other ethnic groups. Community-based strategies to improve metabolic profiles may have to be ethnically devised. Among White-Dutch, targeting people with lower SEP may have an impact. However, among ethnic minority groups, both low and high socio-economic groups may have to be equally targeted to have an impact in reducing ethnic inequalities in health. (c) 2009 Elsevier Ireland Ltd. All rights reserved
U2 - 10.1016/j.ijcard.2008.12.023
DO - 10.1016/j.ijcard.2008.12.023
M3 - Article
C2 - 19144421
VL - 141
SP - 266
EP - 274
JO - International journal of cardiology
JF - International journal of cardiology
SN - 0167-5273
IS - 3
ER -
ID: 874748