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Hypertriglyceridemic waist and metabolic abnormalities in Brazilian schoolchildren.


ABSTRACT:

Objective

To identify the prevalence of hypertriglyceridemic waist (HTW) phenotype and its association with metabolic abnormalities in schoolchildren.

Methods

A cross-sectional study, with a sample of 241 students aged 10 to 14 years from public schools (4 schools) and private (2 schools) from Paranavai town, in Parana State, Brazil. Anthropometric variables (weight, height, waist circumference) and levels of triglycerides, total cholesterol, HDL-C, non-HDL and LDL-C were analyzed. In statistical tests of Pearson partial correlation and multivariate logistic regression, considering p<0,05.

Results

The prevalence of HTW was 20,7% among schoolchildren, 14,1% in males and 6,6% among females with higher proportions aged 10-12 years old. Multivariate analysis indicated that the students who attended private schools were nearly three times more likely (95% CI: 1,2-5,6), to be diagnosed with HTW compared with those who attended public schools (p?=?0,006), and LDL-C was the only metabolic variable positively associated with the outcome (p?=?0,001), where the students categorized with elevated serum levels had odds 4,2 times (95% CI: 1,6-10,9) having the HTW compared to students in appropriate levels.

Conclusion

This study showed higher prevalence of hypertriglyceridemic waist phenotype in students when compared to prospective studies in Brazil and worldwide. It also showed that the only metabolic alteration associated with HTW phenotype was LDL-C (low density lipoprotein).

SUBMITTER: Guilherme FR 

PROVIDER: S-EPMC4232366 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature

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<h4>Objective</h4>To identify the prevalence of hypertriglyceridemic waist (HTW) phenotype and its association with metabolic abnormalities in schoolchildren.<h4>Methods</h4>A cross-sectional study, with a sample of 241 students aged 10 to 14 years from public schools (4 schools) and private (2 schools) from Paranavai town, in Parana State, Brazil. Anthropometric variables (weight, height, waist circumference) and levels of triglycerides, total cholesterol, HDL-C, non-HDL and LDL-C were analyzed  ...[more]

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