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Validity of a single-factor model underlying the metabolic syndrome in children: a confirmatory factor analysis.

Authors: Martínez-Vizcaíno, Vicente; Martínez, Montserrat Solera; Aguilar, Fernando Salcedo; Martínez, Sandra Serrano; Gutiérrez, Ricardo Franquelo; López, Mairena Sánchez; Martínez, Pablo Moya; +1 Authors

Validity of a single-factor model underlying the metabolic syndrome in children: a confirmatory factor analysis.

Abstract

We used confirmatory factor analysis to test whether a single factor might explain the clustering of the metabolic syndrome (MS) components in children.We studied 1,020 children aged 10-13 years from 20 schools in Cuenca, Spain. The single-factor model included: waist circumference (WC), fasting insulin, triglyceride to HDL cholesterol ratio (Triglyl/HDL-C), and mean arterial pressure (MAP). The standardized scores of the four variables in the model were used to develop a continuous MS index.Factor loadings were 0.67 for WC, 0.68 for fasting insulin, 0.57 for Triglyl/HDL-C, and 0.37 for MAP. The single-factor model also showed a good fit to the data. As compared with Adult Treatment Panel III criteria, the MS index showed strong validity in the diagnosis of MS (area under the receiver operating characteristic curve = 0.98, 95% CI 0.96-0.99).A single underlying factor has acceptable validity to represent MS in children.

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Keywords

Male, Metabolic Syndrome, Adolescent, Cholesterol, HDL, Blood Pressure, Humans, Insulin, Female, Waist Circumference, Child, Factor Analysis, Statistical, Triglycerides, Original Research

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
66
Top 10%
Top 10%
Top 10%
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