Metabolic syndrome and related disorders · 2010
Predicting adult body mass index-specific metabolic risk from childhood.
СтатьяПоддержка NIH: внешняя программаНазвание и аннотация: Перевод пока не подготовлен
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Camhi Sarah M, Katzmarzyk Peter T, Broyles Stephanie, Srinivasan Sathanur R, Chen Wei, Bouchard Claude, Berenson Gerald S
Аннотация
BACKGROUND: 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.
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.