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Título: | Assessment of Different Atherogenic Indices as Predictors of Metabolic Syndrome in Spanish Adolescents |
Autor: | Fernández-Aparicio, Ángel; Perona, Javier S. CSIC ORCID ; Schmidt-RioValle, Jacqueline; Padez, Cristina; González-Jiménez, Emilio | Palabras clave: | Adolescents Atherogenic indices Gender differences Metabolic syndrome Prediction Receiver operating characteristic |
Fecha de publicación: | 24-oct-2021 | Editor: | Sage Publications | Citación: | Biological Research for Nursing (2021) | Resumen: | Background: Inconsistent results due to age, ethnic, and geographic differences have been found on the predictive capacity of atherogenic indices in previous studies. The aim of this study was to assess the predictive value of 6 atherogenic indices for MetS in a Spanish adolescent population. Methods: A cross-sectional study was performed on 981 adolescents (13.2 ± 1.2y) that were randomly recruited from schools in Southeastern Spain. Anthropometric and biochemical parameters were evaluated to identify the presence of MetS. The following atherogenic indices were calculated: triglyceride-glucose (TyG) index, atherogenic index of plasma (AIP), non-HDL cholesterol, triglycerides to HDL-cholesterol ratio (TG/HDL-c), LDL-cholesterol to HDL-cholesterol ratio (LDL-c/HDL-c), and total cholesterol to HDL-cholesterol ratio (TC/HDL-c). Results: The area under the curve (AUC) of receiver operating characteristic curves was used for discrimination purposes. AIP was the atherogenic index most strongly associated with MetS with an unadjusted odds ratio (OR) of 37.98 in boys and of 28.75 in girls. A high OR was maintained after adjustment by different factors. AUC values for all atherogenic indices were above 0.83 and 0.88 in boys and in girls, respectively. Conclusions: Among the 6 atherogenic indices studied, AIP was the one most strongly associated with MetS in Spanish adolescents. The AUC values obtained from ROC analyses suggest that all atherogenic indices have the ability to predict MetS. These atherogenic indices are interesting and useful predictive indicators for MetS. However, more studies are needed to explore in-depth this predictive capacity. | Descripción: | 26 Páginas.-- 1 Figura.-- 5 Tablas | Versión del editor: | http://dx.doi.org/10.1177/10998004211050887 | URI: | http://hdl.handle.net/10261/265044 | DOI: | 10.1177/10998004211050887 | ISSN: | 1099-8004 | E-ISSN: | 1552-4175 |
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