4.7 Article

Childhood BMI and Fasting Glucose and Insulin Predict Adult Type 2 Diabetes: The International Childhood Cardiovascular Cohort (i3C) Consortium

Journal

DIABETES CARE
Volume 43, Issue 11, Pages 2821-2829

Publisher

AMER DIABETES ASSOC
DOI: 10.2337/dc20-0822

Keywords

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Funding

  1. National Heart, Lung, and Blood Institute [R01-HL-121230]
  2. Australian National Health and Medical Research Council Project [APP1098369, APP211316]
  3. Academy of Finland [126925, 121584, 124282, 129378, 117787, 41071]
  4. Social Insurance Institution of Finland
  5. Juho Vainio Foundation
  6. Paavo Nurmi Foundation
  7. Finnish Foundation of Cardiovascular Research
  8. Finnish Cultural Foundation
  9. Sigrid Juselius Foundation
  10. Yrjo Jahnsson Foundation
  11. Kuopio University Hospital Medical Fund
  12. Tampere University Hospital Medical Fund
  13. Turku University Hospital Medical Fund

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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 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.

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