TY - JOUR
T1 - Impact of metabolic syndrome compared with impaired fasting glucose on the development of type 2 diabetes in a general Japanese population
T2 - The Hisayama study
AU - Mukai, Naoko
AU - Doi, Yasufumi
AU - Ninomiya, Toshiharu
AU - Hata, Jun
AU - Yonemoto, Koji
AU - Iwase, Masanori
AU - Iida, Mitsuo
AU - Kiyohara, Yutaka
N1 - Copyright:
Copyright 2010 Elsevier B.V., All rights reserved.
PY - 2009/12
Y1 - 2009/12
N2 - OBJECTIVE - We examined whether metabolic syndrome predicts incident type 2 diabetes more effectively than impaired fasting glucose (IFG) in a general Japanese population. RESEARCH DESIGN AND METHODS - A total of 1,935 nondiabetic subjects aged 40-79 years were followed-up prospectively for a mean of 11.8 years. RESULTS - During the follow-up, 286 subjects developed type 2 diabetes. Compared with those without metabolic syndrome, the multivariate-adjusted hazard ratio (HR) for incident type 2 diabetes was significantly higher in subjects of both sexes with metabolic syndrome, even after adjustment for confounding factors, age, family history of diabetes, total cholesterol, alcohol intake, smoking habits, and regular exercise (men: HR 2.58 [95% CI 1.85-3.59]; women: 3.69 [2.58-5.27]). The multivariate-adjusted HR of metabolic syndrome for type 2 diabetes was slightly lower in men and similar in women compared with that of IFG. The multivariateadjusted HR for type 2 diabetes rose progressively as the number of metabolic syndrome components increased in both subjects with and without IFG. In stratified analysis, the multivariateadjusted risk of type 2 diabetes was significantly higher in subjects with metabolic syndrome alone (2.37 [1.45-3.88]) or IFG alone (3.49 [2.57-4.74]) and markedly increased in subjects with both metabolic syndrome and IFG (6.76 [4.75-9.61]) than in subjects with neither metabolic syndrome nor IFG. Furthermore, the multivariate-adjusted risk for type 2 diabetes was also significantly higher in subjects with both metabolic syndrome and IFG than in those with either one alone (both P < 0.001). CONCLUSIONS - Our findings suggest that metabolic syndrome significantly increases the risk of incident type 2 diabetes, independent of IFG, and is therefore a valuable tool to identify individuals at high risk of type 2 diabetes.
AB - OBJECTIVE - We examined whether metabolic syndrome predicts incident type 2 diabetes more effectively than impaired fasting glucose (IFG) in a general Japanese population. RESEARCH DESIGN AND METHODS - A total of 1,935 nondiabetic subjects aged 40-79 years were followed-up prospectively for a mean of 11.8 years. RESULTS - During the follow-up, 286 subjects developed type 2 diabetes. Compared with those without metabolic syndrome, the multivariate-adjusted hazard ratio (HR) for incident type 2 diabetes was significantly higher in subjects of both sexes with metabolic syndrome, even after adjustment for confounding factors, age, family history of diabetes, total cholesterol, alcohol intake, smoking habits, and regular exercise (men: HR 2.58 [95% CI 1.85-3.59]; women: 3.69 [2.58-5.27]). The multivariate-adjusted HR of metabolic syndrome for type 2 diabetes was slightly lower in men and similar in women compared with that of IFG. The multivariateadjusted HR for type 2 diabetes rose progressively as the number of metabolic syndrome components increased in both subjects with and without IFG. In stratified analysis, the multivariateadjusted risk of type 2 diabetes was significantly higher in subjects with metabolic syndrome alone (2.37 [1.45-3.88]) or IFG alone (3.49 [2.57-4.74]) and markedly increased in subjects with both metabolic syndrome and IFG (6.76 [4.75-9.61]) than in subjects with neither metabolic syndrome nor IFG. Furthermore, the multivariate-adjusted risk for type 2 diabetes was also significantly higher in subjects with both metabolic syndrome and IFG than in those with either one alone (both P < 0.001). CONCLUSIONS - Our findings suggest that metabolic syndrome significantly increases the risk of incident type 2 diabetes, independent of IFG, and is therefore a valuable tool to identify individuals at high risk of type 2 diabetes.
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U2 - 10.2337/dc09-0896
DO - 10.2337/dc09-0896
M3 - Article
C2 - 19729523
AN - SCOPUS:72249114226
SN - 0149-5992
VL - 32
SP - 2288
EP - 2293
JO - Diabetes care
JF - Diabetes care
IS - 12
ER -