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Get Free AccessBackground: Metabolic risk varies within adult body mass index (BMI) categories; however, the development of BMI-specific metabolic risk from childhood is unknown. Methods: The sample included 895 adults (20–38 years of age; 43% male, 34% black) from the Bogalusa Heart Study (1995–2002), who had been measured as children (5–18 years of age) in 1981–1982. Adult metabolic risk was assessed using two definitions: Cardiometabolic risk factor clustering (RFC) included two or more abnormal risk factors [blood pressure, high-density lipoprotein cholesterol (HDL-C), triglycerides, and fasting glucose] and insulin resistance (IR), comprising the top quartile of the homeostasis model of insulin resistance (HOMA-IR) distribution. Logistic regression, within BMI categories, was used to predict adult metabolic risk from childhood mean arterial pressure (MAP), HDL-C, low-density lipoprotein cholesterol (LDL-C), glucose, and triglycerides. Covariates included childhood age, race, sex, adult BMI, and length of follow-up. Results: The prevalence of the adult abnormal metabolic risk profile varied by definitions of metabolic risk (normal weight, 5%–9%; overweight, 15%–23%; and obese, 40%–53%). The adult abnormal profile was associated with higher childhood LDL-C [IR, odds ratio (OR), 1.95; 95% confidence interval (CI), 1.06–3.58) and insulin (IR, OR, 1.69; CI, 1.10–2.58) in normal-weight adults; lower childhood HDL-C in overweight adults (RFC, OR, 0.61; CI, 0.40–0.94); and higher childhood MAP (RFC, OR, 1.75; CI, 1.24–2.47) and glucose (IR, OR,1.38; CI, 1.06–1.81) in obese adults. Conclusions: Some childhood metabolic risk factors are moderately associated with adult BMI-specific metabolic risk profiles. The ability to identify children with high future adult cardiovascular risk may initiate early treatment options.
Sarah M. Camhi, Peter T. Katzmarzyk, Stephanie T. Broyles, Sathanur R. Srinivasan, Wei Chen, Claude Bouchard, Gerald S. Berenson (2010). Predicting Adult Body Mass Index–Specific Metabolic Risk From Childhood. Metabolic Syndrome and Related Disorders, 8(2), pp. 165-172, DOI: 10.1089/met.2009.0063.
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Type
Article
Year
2010
Authors
7
Datasets
0
Total Files
0
Language
English
Journal
Metabolic Syndrome and Related Disorders
DOI
10.1089/met.2009.0063
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