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Patterns of Insulin Concentration During the OGTT Predict the Risk of Type 2 Diabetes in Japanese Americans

Authors :
Kyoko Kogawa Sato
Wilfred Y. Fujimoto
Steven E. Kahn
Tomoshige Hayashi
Donna L. Leonetti
Edward J. Boyko
Marguerite J. McNeely
Source :
Diabetes Care
Publication Year :
2013
Publisher :
American Diabetes Association, 2013.

Abstract

OBJECTIVE To examine whether the patterns of insulin concentration during the oral glucose tolerance test (OGTT) predict type 2 diabetes. RESEARCH DESIGN AND METHODS We followed 400 nondiabetic Japanese Americans for 10–11 years. Insulin concentrations at 30, 60, and 120 min during a 2-h 75-g OGTT at baseline were used to derive the following possible patterns of insulin: pattern 1 (30-min peak, higher insulin level at 60 than at 120 min), pattern 2 (30-min peak, lower or equal level at 60 vs. 120 min), pattern 3 (60-min peak); pattern 4 (120-min peak, lower level at 30 than at 60 min), and pattern 5 (120-min peak, equal or higher level at 30 vs. 60 min). Insulin sensitivity was estimated by homeostasis model assessment of insulin resistance (HOMA-IR) and Matsuda index. Insulin secretion was estimated by the insulinogenic index (IGI) [Δinsulin/Δglucose (30–0 min)] and disposition index (IGI/HOMA-IR). RESULTS There were 86 incident cases of type 2 diabetes. The cumulative incidence was 3.2, 9.8, 15.4, 47.8, and 37.5% for patterns 1, 2, 3, 4, and 5, respectively. Compared with pattern 1, patterns 4 and 5, characterized by a lasting late insulin response, were associated with significantly less insulin sensitivity as measured by the Matsuda index and lower early insulin response by the disposition index. The multiple-adjusted odds ratios of type 2 diabetes were 12.55 (95% CI 4.79–32.89) for pattern 4 and 8.34 (2.38–29.27) for pattern 5 compared with patterns 1 and 2. This association was independent of insulin secretion and sensitivity. CONCLUSIONS The patterns of insulin concentration during an OGTT strongly predict the development of type 2 diabetes.

Details

Language :
English
ISSN :
19355548 and 01495992
Volume :
36
Issue :
5
Database :
OpenAIRE
Journal :
Diabetes Care
Accession number :
edsair.doi.dedup.....801d753d459426ebbc1c16205b1a368b