Principal component analysis reveals gender-specific predictors of cardiometabolic risk in 6th graders.

ABSTRACT:

Background

The purpose of this study was to determine the sex-specific pattern of pediatric cardiometabolic risk with principal component analysis, using several biological, behavioral and parental variables in a large cohort (n = 2866) of 6th grade students.

Methods

Cardiometabolic risk components included waist circumference, fasting glucose, blood pressure, plasma triglycerides levels and HDL-cholesterol. Principal components analysis was used to determine the pattern of risk clustering and to derive a continuous aggregate score (MetScore). Stratified risk components and MetScore were analyzed for association with age, body mass index (BMI), cardiorespiratory fitness (CRF), physical activity (PA), and parental factors.

Results

In both boys and girls, BMI and CRF we

SUBMITTER: Peterson MD 

PROVIDER: S-EPMC3537600 | biostudies-literature | 2012 Nov

REPOSITORIES: biostudies-literature