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Childhood BMI and fasting glucose and insulin predict adult type 2 diabetes: The International Childhood Cardiovascular Cohort (i3c) Consortium

Citation

Hu, T and Jacobs Jr, DR and Sinaiko, AR and Bazzano, LA and Burns, TL and Daniels, SR and Dwyer, T and Hutri-Kahonen, N and Juonala, M and Murdy, KA and Prineas, RJ and Raitakari, OT and Urbina, EM and Venn, A and Woo, JG and Steinberger, J, Childhood BMI and fasting glucose and insulin predict adult type 2 diabetes: The International Childhood Cardiovascular Cohort (i3c) Consortium, Diabetes Care, 43, (11) pp. 2821-2829. ISSN 0149-5992 (2020) [Refereed Article]

Copyright Statement

Copyright 2020 American Diabetes Association

DOI: doi:10.2337/dc20-0822

Abstract

Objective: To examine childhood BMI, fasting glucose, and insulin in relation to incident adult type 2 diabetes mellitus (T2DM).

Research design and methods: We used data from the International Childhood Cardiovascular Cohort (i3C) Consortium. Data included childhood (age 3-19 years) measurements obtained during the 1970s-1990s; a health questionnaire, including self-report of adult T2DM (occurrence age, medication use) obtained at mean age 40 years; and a medical diagnosis registry (Finland).

Results: The sample included 6,738 participants. Of these, 436 (6.5%) reported onset of T2DM between ages 20 and 59 (mean 40.8) years, and 86% of them reported use of a confirmed antidiabetic medication. BMI and glucose (age and sex standardized) were associated with incident T2DM after adjustment for cohort, country, sex, race, age, and calendar year of measurement. Increasing levels of childhood BMI and glucose were related to an incrementally increased risk of T2DM beginning at age 30 years, beginning at cut points <95th percentile for BMI and <100 mg/dL for glucose. Insulin was positively associated with adult T2DM after adjustment for BMI and glucose and added to T2DM discrimination.

Conclusions: Childhood BMI and glucose are predictors of adult T2DM at levels previously considered to be within the normal range. These easy-to-apply measurements are appealing from a clinical perspective. Fasting insulin has the potential to be an additional predictor.

Item Details

Item Type:Refereed Article
Research Division:Biomedical and Clinical Sciences
Research Group:Cardiovascular medicine and haematology
Research Field:Cardiology (incl. cardiovascular diseases)
Objective Division:Health
Objective Group:Evaluation of health and support services
Objective Field:Determinants of health
UTAS Author:Venn, A (Professor Alison Venn)
ID Code:141783
Year Published:2020
Web of Science® Times Cited:2
Deposited By:Menzies Institute for Medical Research
Deposited On:2020-11-19
Last Modified:2020-12-08
Downloads:0

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