Temporal Trend of Non-Invasive Method Capacity for Early Detection of Metabolic Syndrome in Children and Adolescents: A Bayesian Multilevel Analysis of Pseudo-Panel Data

Volume: 75, Issue: 1, Pages: 55 - 65
Published: Jan 1, 2019
Abstract
<b><i>Background:</i></b> The aim of this study was to examine the ability of Noninvasive methods to early predictions of metabolic syndrome (MetS) among children and adolescents from 2003 to 2016. <b><i>Methods:</i></b> This was a repeated cross-sectional study based on 24,409 Iranian children and adolescents. The variables included anthropometric measures, serum lipid profiles, hypertension, and...
Paper Details
Title
Temporal Trend of Non-Invasive Method Capacity for Early Detection of Metabolic Syndrome in Children and Adolescents: A Bayesian Multilevel Analysis of Pseudo-Panel Data
Published Date
Jan 1, 2019
Volume
75
Issue
1
Pages
55 - 65
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