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Dataset Information

Anthropometric features as predictors of atherogenic dyslipidemia and cardiovascular risk in a large population of school-aged children.


ABSTRACT:

Background

Autopsy studies reveal that atherosclerosis lesions can be found as early as two years of age. To slow the development of this early pathology, obesity and dyslipidemia prevention should start from childhood making it urgent to explore new ways to evaluate dyslipidemia risk in children that can be applied widely, such as the non-invasive anthropometric evaluation.

Objective

Assess the metabolic profile of a pediatric population at a specific age to describe the association between anthropometric and biochemical cardiovascular disease risk factors; and evaluate selected anthropometric variables as potential predictors for dyslipidemic cardiovascular risk.

Design and methods

Anthropometric features, bioimpedance parameters and fasting clinical profile were as

SUBMITTER: Furtado JM 

PROVIDER: S-EPMC5983423 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature