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Atherogenic indices in pediatric population in South-Southeast region of Mexico

Gómez Pérez, Samuel [autor] | Ovando Gómez, Valeria [autora] | Hernández Contreras, Armando Camilo [autor] | Herón Petri, Marcelo [autor] | Ochoa Díaz López, Héctor [autor] | García Miranda, Rosario [autora] | Irecta Nájera, César Antonio [autor].
Tipo de material: Artículo
 en línea Artículo en línea Tipo de contenido: Texto Tipo de medio: Computadora Tipo de portador: Recurso en líneaTema(s): Niños | Índices aterogénicos | Síndrome metabólico | Aterosclerosis | Riesgo cardiometabólico | Salud infantil | Enfermedades cardiovascularesTema(s) en inglés: Children | Atherogenic indices | Metabolic syndrome | Atherosclerosis | Cardiometabolic risk | Child health | Cardiovascular diseasesDescriptor(es) geográficos: Comitán de Domínguez (Chiapas, México) | Villahermosa, Centro (Tabasco, México) Nota de acceso: Disponible para usuarios de ECOSUR con su clave de acceso En: Journal of Tropical Pediatrics. Volumen 68, número 6 (2022), páginas 1-11. --ISSN: 1465-3664Número de sistema: 63192Resumen:
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Background: Atherosclerosis is a cardiovascular disease, highly predictable, and associated with different atherogenic indices (AI) in adults. However, such indexes in the pediatric population are far less explored. The objective of this study was to evaluate the AI and the cardiovascular factors in the pediatric population in the South-Southeast of México. Methods: A total of 481 children between 2 and 17 years old were recruited. Anthropometric evaluation, blood pressure (BP), lipid profile, apolipoprotein A-I (ApoA-I) and apolipoprotein B (ApoB) were measured, and AI were calculated. The population was grouped by age, binary logistic regression analysis was performed to analysis for associations of AI and cardiovascular risk factors. Sensibility and specificity of AI to detect metabolic alteration were evaluated for curve ROC. Results: The atherogenic risk presented a high prevalence in the pediatric population, such as LDL-c/ApoB (86.9%), AIP (78%) and AC (36.6%). Preschoolers showed a higher risk of ApoB/ApoA-I and ApoB/LDL-c, while adolescents have a high risk of AIP. CRI-I and AC were associated with elements of lipid profile and body mass index (BMI). ROC curves analysis shows that AIP is the best index evaluating metabolic syndrome (MS) (0.87) and dyslipidemia (0.91). Conclusion: Such pediatric population showed a high risk of AI, mainly by LDL-c/ApoB and AIP. The BMI was the cardiovascular risk factors most frequently related to AI, AIP is the best index for detecting cases of MS and dyslipidemia. This is the first study carried out in the pediatric population from the South-Southeast of Mexico that evaluated the AI.

Recurso en línea: https://doi.org/10.1093/tropej/fmac099
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Disponible para usuarios de ECOSUR con su clave de acceso

Background: Atherosclerosis is a cardiovascular disease, highly predictable, and associated with different atherogenic indices (AI) in adults. However, such indexes in the pediatric population are far less explored. The objective of this study was to evaluate the AI and the cardiovascular factors in the pediatric population in the South-Southeast of México. Methods: A total of 481 children between 2 and 17 years old were recruited. Anthropometric evaluation, blood pressure (BP), lipid profile, apolipoprotein A-I (ApoA-I) and apolipoprotein B (ApoB) were measured, and AI were calculated. The population was grouped by age, binary logistic regression analysis was performed to analysis for associations of AI and cardiovascular risk factors. Sensibility and specificity of AI to detect metabolic alteration were evaluated for curve ROC. Results: The atherogenic risk presented a high prevalence in the pediatric population, such as LDL-c/ApoB (86.9%), AIP (78%) and AC (36.6%). Preschoolers showed a higher risk of ApoB/ApoA-I and ApoB/LDL-c, while adolescents have a high risk of AIP. CRI-I and AC were associated with elements of lipid profile and body mass index (BMI). ROC curves analysis shows that AIP is the best index evaluating metabolic syndrome (MS) (0.87) and dyslipidemia (0.91). Conclusion: Such pediatric population showed a high risk of AI, mainly by LDL-c/ApoB and AIP. The BMI was the cardiovascular risk factors most frequently related to AI, AIP is the best index for detecting cases of MS and dyslipidemia. This is the first study carried out in the pediatric population from the South-Southeast of Mexico that evaluated the AI. eng

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