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International Journal of Kinanthropometry
Article . 2021 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Adiposidad y riesgo cardio-metabólico en escolares

Authors: Lidia G De León; Briseidy Ortiz-Rodríguez; Luis A Flores;

Adiposidad y riesgo cardio-metabólico en escolares

Abstract

El exceso de grasa corporal en niñas y niños también es un factor de riesgo modificable que se asocia al desarrollo de enfermedades no transmisibles desde etapas tempranas de la vida. Objetivo. Examinar la relación del porcentaje de grasa por las ecuaciones de Slaughter, la circunferencia de cintura abdominal y el índice cintura/estatura para estimar el grado de riesgo cardio-metabólico de escolares entre 6 y 12 años respecto a su nivel de adiposidad. Metodología. En una muestra de 147 niñas y 156 niños en edades entre los 6 y 12 años, se determinó la correlación de las ecuaciones de Slaughter que utilizan los pliegues de tríceps y pierna medial (GS1) y de tríceps y subescapular (GS2) con la circunferencia de cintura abdominal (CC) y con el índice cintura/estatura (ICE); se identificó la concordancia entre ambas ecuaciones de Slaughter por Bland&Altman (Giavarina, 2015); se analizó la capacidad diagnóstica de las ecuaciones de Slaughter para identificar el riesgo cardio-metabólico (RC-M) por curvas de ROC. Resultados. Se encontraron correlaciones más altas de GS1 y GS2 con CC que con ICE en niñas y niños, pero todas significativas (p<0.001). GS1 y GS2 mostraron buena concordancia, aunque GS1 estimó valores más altos de porcentaje de grasa con una media de las diferencias de 0.5715 (95% IC). La sensibilidad y especificidad para detectar RC-M fueron más altas en GS1 (90.6% y 90.4%, respectivamente) que en GS2. Conclusiones. GS1 puede discriminar la presencia de RC-M en escolares a un menor porcentaje de grasa corporal.

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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!
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