Diabetes Care
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
QUICK SEARCH:   [advanced]


     

This Article
Right arrow Full Text (PDF)
Right arrow Purchase Article
Right arrow View Shopping Cart
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow Request Permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Kekalainen, P.
Right arrow Articles by Laakso, M.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Kekalainen, P.
Right arrow Articles by Laakso, M.
Social Bookmarking
Add to CiteULike   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati  
What's this?

Diabetes Care, Vol 22, Issue 1 86-92, Copyright © 1999 by American Diabetes Association

ARTICLES

Hyperinsulinemia cluster predicts the development of type 2 diabetes independently of family history of diabetes

P Kekalainen, H Sarlund, K Pyorala and M Laakso
Department of Medicine, Kuopio University Hospital, Finland. pkekalai@messi.uku.fi

OBJECTIVE: The aim of this prospective study was to determine risk factor clusters predicting type 2 diabetes in subjects with and without family history of diabetes by applying factor analyses. RESEARCH DESIGN AND METHODS: The study population consisted of 309 siblings of diabetic (DM+) or nondiabetic (DM-) probands. Risk factors, including lipids, lipoproteins, blood pressure, and glucose tolerance status, were measured at the baseline study and 8 years later. RESULTS: Siblings in the DM+ group had a significantly higher risk of diabetes (odds ratio [OR] = 3.25; P = 0.002) than siblings in the DM- group. Altogether, factor analyses revealed four significant factors in both the DM+ and DM- groups (the percentage of cumulative variance explained 62-66%). Of these, factor 1 (percentage of variance, 27-29%) was characterized by high loadings for BMI, hypertension, glucose area, insulin area (the highest loading), and triglycerides in both the DM+ and DM- groups; therefore, factor 1 can be interpreted as a hyperinsulinemia factor. Also, other factors were essentially similar in both groups. Hyperinsulinemia factor was similarly associated with the risk of developing diabetes in the DM+ group (OR = 4.33, 95% CI 2.29-8.19; P < 0.001) and the DM- group (OR = 4.22, 95% CI 2.02-8.81; P < 0.001) in logistic regression analyses. CONCLUSIONS: Our results indicate that a cluster of cardiovascular risk factors around hyperinsulinemia is an important predictor of diabetes in 8-year follow-up independent of family history of diabetes.
Add to CiteULike CiteULike   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati    What's this?


This article has been cited by other articles:


Home page
 PsychosomaticsHome page
R. A. Bermudes, P. E. Keck Jr., and J. A. Welge
The Prevalence of the Metabolic Syndrome in Psychiatric Inpatients With Primary Psychotic and Mood Disorders
Psychosomatics, December 1, 2006; 47(6): 491 - 497.
[Abstract] [Full Text] [PDF]

Home page
 CirculationHome page
A. J.G. Hanley, A. J. Karter, K. Williams, A. Festa, R. B. D'Agostino Jr, L. E. Wagenknecht, and S. M. Haffner
Prediction of Type 2 Diabetes Mellitus With Alternative Definitions of the Metabolic Syndrome: The Insulin Resistance Atherosclerosis Study
Circulation, December 13, 2005; 112(24): 3713 - 3721.
[Abstract] [Full Text] [PDF]

Home page
 Diabetes CareHome page
R. Kahn, J. Buse, E. Ferrannini, and M. Stern
The Metabolic Syndrome: Time for a Critical Appraisal: Joint statement from the American Diabetes Association and the European Association for the Study of Diabetes
Diabetes Care, September 1, 2005; 28(9): 2289 - 2304.
[Abstract] [Full Text] [PDF]

Home page
 CirculationHome page
U. Salmenniemi, E. Ruotsalainen, J. Pihlajamaki, I. Vauhkonen, S. Kainulainen, K. Punnonen, E. Vanninen, and M. Laakso
Multiple Abnormalities in Glucose and Energy Metabolism and Coordinated Changes in Levels of Adiponectin, Cytokines, and Adhesion Molecules in Subjects With Metabolic Syndrome
Circulation, December 21, 2004; 110(25): 3842 - 3848.
[Abstract] [Full Text] [PDF]

Home page
 Diabetes CareHome page
J.-j. Wang, Q. Qiao, M. E. Miettinen, J. Lappalainen, G. Hu, and J. Tuomilehto
The Metabolic Syndrome Defined by Factor Analysis and Incident Type 2 Diabetes in a Chinese Population With High Postprandial Glucose
Diabetes Care, October 1, 2004; 27(10): 2429 - 2437.
[Abstract] [Full Text] [PDF]

Home page
 DiabetesHome page
A. J.G. Hanley, A. Festa, R. B. D'Agostino, L. E. Wagenknecht, P. J. Savage, R. P. Tracy, M. F. Saad, and S. M. Haffner
Metabolic and Inflammation Variable Clusters and Prediction of Type 2 Diabetes: Factor Analysis Using Directly Measured Insulin Sensitivity
Diabetes, July 1, 2004; 53(7): 1773 - 1781.
[Abstract] [Full Text] [PDF]

Home page
 Am J EpidemiolHome page
D. A. Lawlor, S. Ebrahim, M. May, and G. Davey Smith
(Mis)use of Factor Analysis in the Study of Insulin Resistance Syndrome
Am. J. Epidemiol., June 1, 2004; 159(11): 1013 - 1018.
[Abstract] [Full Text] [PDF]

Home page
 DiabetesHome page
J. B. Meigs, P. W.F. Wilson, D. M. Nathan, R. B. D'Agostino Sr., K. Williams, and S. M. Haffner
Prevalence and Characteristics of the Metabolic Syndrome in the San Antonio Heart and Framingham Offspring Studies
Diabetes, August 1, 2003; 52(8): 2160 - 2167.
[Abstract] [Full Text] [PDF]

Home page
 Diabetes CareHome page
J. Lindstrom and J. Tuomilehto
The Diabetes Risk Score: A practical tool to predict type 2 diabetes risk
Diabetes Care, March 1, 2003; 26(3): 725 - 731.
[Abstract] [Full Text] [PDF]

Home page
 DiabetesHome page
R. L. Hanson, G. Imperatore, P. H. Bennett, and W. C. Knowler
Components of the "Metabolic Syndrome" and Incidence of Type 2 Diabetes
Diabetes, October 1, 2002; 51(10): 3120 - 3127.
[Abstract] [Full Text] [PDF]

Home page
 Int J EpidemiolHome page
V.-P. Valkonen, M. Kolehmainen, H.-M. Lakka, and J. T Salonen
Insulin resistance syndrome revisited: application of self-organizing maps
Int. J. Epidemiol., August 1, 2002; 31(4): 864 - 871.
[Abstract] [Full Text] [PDF]

Home page
 DiabetesHome page
A. J.G. Hanley, A. J. Karter, A. Festa, R. D'Agostino Jr., L. E. Wagenknecht, P. Savage, R. P. Tracy, M. F. Saad, and S. Haffner
Factor Analysis of Metabolic Syndrome Using Directly Measured Insulin Sensitivity: The Insulin Resistance Atherosclerosis Study
Diabetes, August 1, 2002; 51(8): 2642 - 2647.
[Abstract] [Full Text] [PDF]

Home page
 Diabetes CareHome page
R. M. van Dam, J. M.A. Boer, E. J.M. Feskens, and J. C. Seidell
Parental History of Diabetes Modifies the Association Between Abdominal Adiposity and Hyperglycemia
Diabetes Care, August 1, 2001; 24(8): 1454 - 1459.
[Abstract] [Full Text] [PDF]

Home page
 Am J EpidemiolHome page
J. B. Meigs
Invited Commentary: Insulin Resistance Syndrome? Syndrome X? Multiple Metabolic Syndrome? A Syndrome At All? Factor Analysis Reveals Patterns in the Fabric of Correlated Metabolic Risk Factors
Am. J. Epidemiol., November 15, 2000; 152(10): 908 - 911.
[Abstract] [Full Text] [PDF]

Home page
 Arterioscler. Thromb. Vasc. Bio.Home page
M. Pyorala, H. Miettinen, P. Halonen, M. Laakso, and K. Pyorala
Insulin Resistance Syndrome Predicts the Risk of Coronary Heart Disease and Stroke in Healthy Middle-Aged Men : The 22-Year Follow-Up Results of the Helsinki Policemen Study
Arterioscler. Thromb. Vasc. Biol., February 1, 2000; 20(2): 538 - 544.
[Abstract] [Full Text] [PDF]


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Diabetes Diabetes Care Clinical Diabetes Diabetes Spectrum
Copyright © 1999 by the American Diabetes Association.