title: Utility of childhood glucose homeostasis variables in predicting adult diabetes and related cardiometabolic risk factors: the Bogalusa Heart Study.
abstract: OBJECTIVE This study examines the usefulness of childhood glucose homeostasis variables (glucose, insulin, and insulin resistance index [homeostasis model assessment of insulin resistance {HOMA-IR}]) in predicting pre-diabetes and type 2 diabetes and related cardiometabolic risk factors in adulthood. RESEARCH DESIGN AND METHODS This retrospective cohort study consisted of normoglycemic (n = 1,058), pre-diabetic (n = 37), and type 2 diabetic (n = 25) adults aged 19-39 years who were followed on average for 17 years since childhood. RESULTS At least 50% of the individuals who ranked highest (top quintile) in childhood for glucose homeostasis variables maintained their high rank by being above the 60th percentile in adulthood. In a multivariate model, the best predictors of adulthood glucose homeostasis variables were the change in BMI Z score from childhood to adulthood and childhood BMI Z score, followed by the corresponding childhood levels of glucose, insulin, and HOMA-IR. Further, children in the top decile versus the rest for insulin and HOMA-IR were 2.85 and 2.55 times, respectively, more likely to develop pre-diabetes; children in the top decile versus the rest for glucose, insulin, and HOMA-IR were 3.28, 5.54, and 5.84 times, respectively, more likely to develop diabetes, independent of change in BMI Z score, baseline BMI Z score, and total-to-HDL cholesterol ratio. In addition, children with adverse levels (top quintile versus the rest) of glucose homeostasis variables displayed significantly higher prevalences of, among others, hyperglycemia, hypertriglyceridemia, and metabolic syndrome. CONCLUSIONS Adverse levels of glucose homeostasis variables in childhood not only persist into adulthood but also predict adult pre-diabetes and type 2 diabetes and relate to cardiometabolic risk factors.
authors.affiliation: The Tulane Center for Cardiovascular Health, Tulane University Health Sciences Center, New Orleans, Louisiana, USA.
authors.forename: Quoc Manh
authors.initials: QM
authors.lastname: Nguyen
authors.forename: Sathanur R
authors.initials: SR
authors.lastname: Srinivasan
authors.forename: Ji-Hua
authors.initials: JH
authors.lastname: Xu
authors.forename: Wei
authors.initials: W
authors.lastname: Chen
authors.forename: Lyn
authors.initials: L
authors.lastname: Kieltyka
authors.forename: Gerald S
authors.initials: GS
authors.lastname: Berenson
mesh_terms: D000328:Adult; D000367:Age Factors; D017668:Age of Onset; D015415:Biomarkers / Q000032:analysis / Q000378:metabolism; D001786:Blood Glucose / Q000378:metabolism*; D002318:Cardiovascular Diseases / Q000175:diagnosis / Q000453:epidemiology / Q000209:etiology*; D002648:Child; D003430:Cross-Sectional Studies; D003924:Diabetes Mellitus, Type 2 / Q000150:complications / Q000175:diagnosis* / Q000453:epidemiology / Q000378:metabolism; D005260:Female; D006706:Homeostasis / Q000502:physiology*; D006801:Humans; D008145:Louisiana; D008297:Male; D011236:Prediabetic State / Q000150:complications / Q000175:diagnosis / Q000378:metabolism; D011237:Predictive Value of Tests; D012189:Retrospective Studies; D012307:Risk Factors; D055815:Young Adult
chemical_list: D015415:Biomarkers; D001786:Blood Glucose