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01.12.2012 | Original investigation | Ausgabe 1/2012 Open Access

Cardiovascular Diabetology 1/2012

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

Zeitschrift:
Cardiovascular Diabetology > Ausgabe 1/2012
Autoren:
Mark D Peterson, Dongmei Liu, Heidi B IglayReger, William A Saltarelli, Paul S Visich, Paul M Gordon
Wichtige Hinweise

Electronic supplementary material

The online version of this article (doi:10.​1186/​1475-2840-11-146) contains supplementary material, which is available to authorized users.

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

PG, PV, and WS designed the study and carried out data collection. MP and DL conducted the statistical analysis. MP, DL, HI and PG participated in writing and editing the manuscript. All authors read and approved the final manuscript.

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 were associated with multiple risk components, and overall MetScore. Maternal smoking was associated with multiple risk components in girls and boys, as well as MetScore in boys, even after controlling for children’s BMI. Paternal family history of early cardiovascular disease (CVD) and parental age were associated with increased blood pressure and MetScore for girls. Children’s PA levels, maternal history of early CVD, and paternal BMI were also indicative for various risk components, but not MetScore.

Conclusions

Several biological and behavioral factors were independently associated with children’s cardiometabolic disease risk, and thus represent a unique gender-specific risk profile. These data serve to bolster the independent contribution of CRF, PA, and family-oriented healthy lifestyles for improving children’s health.
Zusatzmaterial
Additional file 1: Table S1. Pairwise correlations for MetS risk factors. (DOCX 14 KB)
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Additional file 2: Text description of bivariate correlates for MetS risk. (DOCX 13 KB)
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Additional file 3: Table S2. Bivariate associations between MetS risk factors and potential correlates of individual and familial factors. (DOCX 19 KB)
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Additional file 4: Table S3. Bivariate correlations between explanatory variables in girls. (DOCX 17 KB)
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Additional file 5: Table S4. Bivariate correlations between explanatory variables in boys. (DOCX 18 KB)
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Authors’ original file for figure 1
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Authors’ original file for figure 2
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Literatur
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