OBJECTIVE -Most epidemiologic studies have focused on the adverse impact of the metabolic syndrome on cardiovascular (CV) disease. However, information on the relationship between the clustering of metabolic syndrome variables at favorable levels in childhood and the measures of CV risk in adulthood is not known.
RESEARCH DESIGN AND METHODS -The study cohort included 1,474 individuals (552 blacks and 922 whites) who were examined for CV risk factors in childhood (aged 4 -17 years) and again in adulthood (aged 19 -41 years) in Bogalusa, Louisiana, during 1982Louisiana, during -2003, with an average follow-up period of 15.8 years.RESULTS -In childhood, 9.0% of the cohort displayed clustering of three-or four-criterion risk variables at the bottom quartiles of BMI, homeostasis model assessment of insulin resistance, systolic blood pressure, and total-to-HDL cholesterol ratio. The clustering was significantly higher than expected by chance alone (P Ïœ 0.01). These children, compared with those having clustering of less than three risk variables at the bottom quartiles, had a lower prevalence of metabolic syndrome in adulthood (clustering at top quartiles) (3.8 vs. 14.6%, P Ïœ 0.001). A higher prevalence of clustering of risk variables at low levels in childhood was associated with negative parental histories of coronary heart disease (9.4 vs. 5.0%, P Ï 0.024) and hypertension (10.5 vs. 6.6%, P Ï 0.012). Mean values of carotid intima-media thickness in adulthood decreased with an increasing number of risk variables clustering at the bottom quartiles in childhood (P for trend Ï 0.013).CONCLUSIONS -The constellation of metabolic syndrome variables at low levels in childhood is associated with lower measures of CV risk in adulthood.
Diabetes Care 28:138 -143, 2005T he metabolic syndrome, a concurrence of obesity, disturbed glucose and insulin metabolism, dyslipidemia, and hypertension, is associated with an increased risk for developing cardiovascular (CV) diseases and type 2 diabetes and an increased mortality from all causes (1-3). Most epidemiologic studies (4) have focused on the predictive value of clustering of adverse levels of these major risk variables. On the other hand, it has been reported (5,6) that people without major risk factors are at lower risk of death from CV causes, non-CV causes, and all cancers and consequently have a greater life expectancy than others in the population. The merits of having a favorable risk factor profile are even extended to lower health care costs (7).The clustering of the metabolic syndrome variables often occurs in both children and adults (2,8 -10). Although the clustering of multiple risk variables related to the metabolic syndrome has been found to persist from childhood into adulthood (11), very little is known about the relationship between the clustering of these risk variables at favorable (low) levels in childhood and the measures of CV risk in adulthood. Longitudinal data from the Bogalusa Heart Study, a communitybased investigation of CV disease risk factors beginn...