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.
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Stanford Univ, Med Ctr, Div Cardiovasc Med, Sch Med, Stanford, CA 94305 USAStanford Univ, Med Ctr, Div Cardiovasc Med, Sch Med, Stanford, CA 94305 USA
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Univ Toronto, Dept Nutr Sci, Toronto, ON M5S 3E2, CanadaUniv Toronto, Dept Nutr Sci, Toronto, ON M5S 3E2, Canada
Wolever, Thomas M. S.
Connelly, Philip W.
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Univ Toronto, Dept Lab Med & Pathobiol, Toronto, ON M5S 3E2, Canada
St Michaels Hosp, Li Ka Shing Knowledge Inst, Keenan Res Ctr, Toronto, ON M5B 1W8, CanadaUniv Toronto, Dept Nutr Sci, Toronto, ON M5S 3E2, Canada
Connelly, Philip W.
Hegele, Robert A.
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Robarts Res Inst, London, ON N6A 5C1, CanadaUniv Toronto, Dept Nutr Sci, Toronto, ON M5S 3E2, Canada
Hegele, Robert A.
Zinman, Bernard
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Univ Toronto, Div Endocrinol, Toronto, ON M5S 3E2, Canada
Mt Sinai Hosp, Leadership Sinai Ctr Diabet, Toronto, ON M5G 1X5, Canada
Mt Sinai Hosp, Samuel Lunenfeld Res Inst, Toronto, ON M5G 1X5, CanadaUniv Toronto, Dept Nutr Sci, Toronto, ON M5S 3E2, Canada
Zinman, Bernard
Hanley, Anthony J. G.
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Univ Toronto, Dept Nutr Sci, Toronto, ON M5S 3E2, Canada
Univ Toronto, Div Endocrinol, Toronto, ON M5S 3E2, Canada
Mt Sinai Hosp, Leadership Sinai Ctr Diabet, Toronto, ON M5G 1X5, CanadaUniv Toronto, Dept Nutr Sci, Toronto, ON M5S 3E2, Canada
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Sungkyunkwan Univ, Sch Med, Samsung Med Ctr, Div Endocrinol & Metab,Dept Med, Seoul, South KoreaSungkyunkwan Univ, Sch Med, Samsung Med Ctr, Div Endocrinol & Metab,Dept Med, Seoul, South Korea
Lee, You-Bin
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Lee, Seung-Eun
Jun, Ji Eun
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Sungkyunkwan Univ, Sch Med, Samsung Med Ctr, Div Endocrinol & Metab,Dept Med, Seoul, South KoreaSungkyunkwan Univ, Sch Med, Samsung Med Ctr, Div Endocrinol & Metab,Dept Med, Seoul, South Korea
Jun, Ji Eun
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Jee, Jae Hwan
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Bae, Ji Cheol
Jin, Sang-Man
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Sungkyunkwan Univ, Sch Med, Samsung Med Ctr, Div Endocrinol & Metab,Dept Med, Seoul, South KoreaSungkyunkwan Univ, Sch Med, Samsung Med Ctr, Div Endocrinol & Metab,Dept Med, Seoul, South Korea
Jin, Sang-Man
Kim, Jae Hyeon
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Sungkyunkwan Univ, Sch Med, Samsung Med Ctr, Div Endocrinol & Metab,Dept Med, Seoul, South Korea
Sungkyunkwan Univ, Samsung Adv Inst Hlth Sci & Technol, Dept Clin Res Design & Evaluat, Seoul, South KoreaSungkyunkwan Univ, Sch Med, Samsung Med Ctr, Div Endocrinol & Metab,Dept Med, Seoul, South Korea