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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
biochemistry, genetics and molecular biology
Impact of differences in glucose tolerance on the prevalence of a negative insulinogenic index
Journal of Diabetes and its Complications, Volume 27, No. 2, Year 2013
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Description
Objective: To determine the prevalence of a negative insulinogenic index (change in plasma insulin/change in plasma glucose from 0 to 30 min) from an oral glucose tolerance test according to glucose tolerance category. Materials and Methods: Data from the San Antonio Heart Study (n = 2494), Japanese American Community Diabetes Study (JACDS; n = 594) and Genetics of NIDDM Study (n = 1519) were examined. Glucose tolerance was defined by ADA criteria. Results: In the combined cohort, the prevalence of a negative insulinogenic index was significantly higher in diabetes 20/616 (3.2%) compared to normal glucose tolerance 43/2667 (1.6%) (p < 0.05). Longitudinally, in the JACDS cohort, the prevalence did not change from baseline (3/594; 0.5%) to 5 (4/505; 0.7%) and 10 years (8/426; 1.9%) (p = 0.9) and no subject had a repeat negative insulinogenic index. Conclusions: A negative insulinogenic index occurs at a low prevalence across glucose tolerance categories although more often in diabetes, but without recurrence over time. © 2013 Published by Elsevier Inc.
Authors & Co-Authors
Faulenbach, Mirjam V.
United States, Seattle
University of Washington
Wright, Lorena A.
United States, Seattle
University of Washington
Lorenzo, Carlos
United States, San Antonio
The University of Texas at San Antonio
Utzschneider, Kristina M.
United States, Seattle
University of Washington
Goedecke, Julia H.
South Africa, Cape Town
University of Cape Town
Fujimoto, Wilfred Y.
United States, Seattle
University of Washington
Boyko, Edward J.
United States, Seattle
University of Washington
United States, Seattle
Va Puget Sound Health Care System
McNeely, Marguerite J.
South Africa, Cape Town
University of Cape Town
Leonetti, Donna L.
United States, Seattle
University of Washington
Haffner, Steven M.
United States, San Antonio
The University of Texas at San Antonio
Kahn, Steven E.
United States, Seattle
University of Washington
Statistics
Citations: 21
Authors: 11
Affiliations: 4
Identifiers
Doi:
10.1016/j.jdiacomp.2012.09.011
ISSN:
10568727
e-ISSN:
1873460X
Research Areas
Genetics And Genomics
Health System And Policy
Noncommunicable Diseases
Study Design
Cross Sectional Study
Cohort Study