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The metabolic syndrome as a predictor of incident diabetes mellitus in Mauritius

Cameron, A. J., Zimmet, P. Z., Soderberg, S., Alberti, K. G. G. M., Sicree, R. A., Tuomilehto, J., Chitson, P. and Shaw, J. E. 2007, The metabolic syndrome as a predictor of incident diabetes mellitus in Mauritius, Diabetic medicine, vol. 24, no. 12, pp. 1460-1469.

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Title The metabolic syndrome as a predictor of incident diabetes mellitus in Mauritius
Author(s) Cameron, A. J.
Zimmet, P. Z.
Soderberg, S.
Alberti, K. G. G. M.
Sicree, R. A.
Tuomilehto, J.
Chitson, P.
Shaw, J. E.
Journal name Diabetic medicine
Volume number 24
Issue number 12
Start page 1460
End page 1469
Publisher Wiley
Place of publication Chichester, England
Publication date 2007-12
ISSN 0742-3071
1464-5491
Keyword(s) diabetes
incidence
Mauritius
metabolic syndrome
prediction
Summary 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.
Language eng
Field of Research 111706 Epidemiology
Socio Economic Objective 920104 Diabetes
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2007, International Diabetes Institute
Persistent URL http://hdl.handle.net/10536/DRO/DU:30021311

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.