The metabolic syndrome as a predictor of incident diabetes mellitus in Mauritius
Article first published online: 1 NOV 2007
Volume 24, Issue 12, pages 1460–1469, December 2007
How to Cite
Cameron, A. J., Zimmet, P. Z., Soderberg, S., Alberti, K. G. M. M., Sicree, R., Tuomilehto, J., Chitson, P. and Shaw, J. E. (2007), The metabolic syndrome as a predictor of incident diabetes mellitus in Mauritius. Diabetic Medicine, 24: 1460–1469. doi: 10.1111/j.1464-5491.2007.02288.x
- Issue published online: 26 NOV 2007
- Article first published online: 1 NOV 2007
- Accepted 25 June 2007
- metabolic syndrome;
Aims To assess the utility of the metabolic syndrome (MetS) and a Diabetes Predicting Model as predictors of incident diabetes.
Methods A longitudinal survey was conducted in Mauritius in 1987 (n = 4972; response 80%) and 1992 (n = 3685; follow-up 74.2%). Diabetes status was retrospectively determined using 1999 World Health Organization (WHO) criteria. MetS was determined according to four definitions and sensitivity, positive predictive value (PPV), specificity and the association with incident diabetes before and after adjustment for MetS components calculated.
Results Of the 3198 at risk, 297 (9.2%) developed diabetes between 1987 and 1992. The WHO MetS definition had the highest prevalence (20.3%), sensitivity (42.1%) and PPV (26.8%) for prediction of incident diabetes, the strongest association with incident diabetes after adjustment for age and sex [odds ratio 4.6 (3.5–6.0)] and was the only definition to show a significant association after adjustment for its component parts (in men only). The low prevalence and sensitivity of the International Diabetes Federation (IDF) and ATPIII MetS definitions resulted from waist circumference cut-points that were high for this population, particularly in men, and both were not superior to a diabetes predicting model on receiver operating characteristic analysis.
Conclusions Of the MetS definitions tested, the WHO definition best identifies those who go on to develop diabetes, but is not often used in clinical practice. If cut-points or measures of obesity appropriate for this population were used, the IDF and ATPIII MetS definitions could be recommended as useful tools for prediction of diabetes, given their relative simplicity.