Details

Autor(en) / Beteiligte

• FRANKS, Paul W
• HANSON, Robert L
• KNOWLER, William C
• MOFFETT, Carol
• ENOS, Gleebah
• INFANTE, Aniello M
• KRAKOFF, Jonathan
• LOOKER, Helen C

Titel

Childhood Predictors of Young-Onset Type 2 Diabetes

Ist Teil von

• Diabetes (New York, N.Y.), 2007-12, Vol.56 (12), p.2964-2972

Ort / Verlag

Alexandria, VA: American Diabetes Association

Erscheinungsjahr

2007

Quelle

MEDLINE

Beschreibungen/Notizen

• Childhood Predictors of Young-Onset Type 2 Diabetes Paul W. Franks 1 2 , Robert L. Hanson 1 , William C. Knowler 1 , Carol Moffett 1 , Gleebah Enos 1 , Aniello M. Infante 1 , Jonathan Krakoff 1 and Helen C. Looker 1 1 Diabetes Epidemiology and Clinical Research Section, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, Arizona 2 Genetic Epidemiology and Clinical Research Group, Department of Public Health and Clinical Medicine, Division of Medicine, Umeå University Hospital, Umeå, Sweden Address correspondence to Dr. Robert L. Hanson, Diabetes Epidemiology and Clinical Research Section, National Institute of Diabetes and Digestive and Kidney Diseases, 1550 E. Indian School Rd., Phoenix, AZ 85014. E-mail: rhanson{at}phx.niddk.nih.gov Abstract OBJECTIVE— Optimal prevention of young-onset type 2 diabetes requires identification of the early-life modifiable risk factors. We aimed to do this using longitudinal data in 1,604 5- to 19-year-old initially nondiabetic American Indians. RESEARCH DESIGN AND METHODS— For type 2 diabetes prediction, we derived an optimally weighted, continuously distributed, standardized multivariate score (zMS) comprising commonly measured metabolic, anthropometric, and vascular traits (i.e., fasting and 2-h glucose, A1C, BMI, waist circumference, fasting insulin, HDL cholesterol, triglycerides, and blood pressures) and compared the predictive power for each feature against zMS. RESULTS— In separate Cox proportional hazard models, adjusted for age, sex, and ethnicity, zMS and each of its component risk factors were associated with incident type 2 diabetes. Stepwise proportional hazards models selected fasting glucose, 2-h glucose, HDL cholesterol, and BMI as independent diabetes predictors; individually, these were weaker predictors than zMS ( P < 0.01). However, a parsimonious summary score combining only these variables had predictive power similar to that of zMS ( P = 0.33). Although intrauterine diabetes exposure or parental history of young-onset diabetes increased a child’s absolute risk of developing diabetes, the magnitude of the diabetes-risk relationships for zMS and the parsimonious score were similar irrespective of familial risk factors. CONCLUSIONS— We have determined the relative value of the features of the metabolic syndrome in childhood for the prediction of subsequent type 2 diabetes. Our findings suggest that strategies targeting obesity, dysregulated glucose homeostasis, and low HDL cholesterol during childhood and adolescence may have the most success in preventing diabetes. DBP, diastolic blood pressure IED, intrauterine exposure to diabetes ODP, offspring of a diabetic parent OGTT, oral glucose tolerance test ONDP, offspring of nondiabetic parents ROC, receiver operating characteristic ROC AUC, area under the ROC curve SBP, systolic blood pressure zMS, standardized multivariate score Footnotes Published ahead of print at http://diabetes.diabetesjournals.org on 24 August 2007. DOI: 10.2337/db06-1639. Additional information for this article can be found in an online appendix at http://dx.doi.org/10.2337/db06-1639 . The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked “advertisement” in accordance with 18 U.S.C. Section 1734 solely to indicate this fact. Accepted August 22, 2007. Received November 22, 2006. DIABETES