Anthropometric indices as predictors of obesity and metabolic risk in adolescents from Loja

Objective: determine anthropometric indices as predictors of obesity and metabolic risk in students of the Bernardo Valdivieso–Loja Millennium Educational Unit. Methodology: Descriptive study, cross-sectional cohort, prospective, quantitative approach, population of 281 adolescents from 14 to 18 yea...

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Publicado en:Revista Científica de Ciencias de la Salud
Autores principales: Montoya Jaramillo, Verónica Luzmila, Robles Cuenca, Diana Alexandra
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Lenguaje:español
Publicado: Universidad Peruana Unión 2023
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author Montoya Jaramillo, Verónica Luzmila
Robles Cuenca, Diana Alexandra
author_browse Montoya Jaramillo, Verónica Luzmila
Robles Cuenca, Diana Alexandra
author_facet Montoya Jaramillo, Verónica Luzmila
Robles Cuenca, Diana Alexandra
author_sort Montoya Jaramillo, Verónica Luzmila
collection Revistas
container_title Revista Científica de Ciencias de la Salud
description Objective: determine anthropometric indices as predictors of obesity and metabolic risk in students of the Bernardo Valdivieso–Loja Millennium Educational Unit. Methodology: Descriptive study, cross-sectional cohort, prospective, quantitative approach, population of 281 adolescents from 14 to 18 years old; by taking anthropometric measurements of height (cm) and weight (kg) to obtain BMI; the ICE by dividing the waist circumference by the height; and waist and hip circumference was calculated to obtain the WHR, determining the risk of metabolic syndrome (MS). Results: according to the BMI, they showed that 80.43% (n=226) have a normal nutritional status, with a greater tendency in women; followed by overweight 11.39% (n=11) higher in men; low weight 4.63% (n=13) predominantly in women; grade I obesity 2.49% (n=7) higher in men; grade II 0.71% (n=2) for both sexes and grade III 0.36% (n=1) higher in women; These nutritional alterations predominated in 16-year-olds, women (n=68) and men (n=49). When determining metabolic risk using ICE, 74.01% (n=208) do not present risk and 25.99% (n=73) have risk, with 13.17% (n=37) being common in women. Regarding CHD, 88.97% (n=250) have no risk, 7.12% (n=20) are at very high risk and 3.91% (n=11) are at high risk, being more common in women with 5.34% (n=15) and 3.56% (n=10) respectively. Based on the CCI, 61.57% (n=173) do not present risk and 38.43% (n=108) present risk, mostly in men 22.06% (n=62). Conclusion: the correlation is verified using Spearman's non-parametric Rho test between obesity and metabolic risk.
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spelling oai:rccs.upeu.edu.pe:article/20212023-12-29T14:55:51Z Anthropometric indices as predictors of obesity and metabolic risk in adolescents from Loja Índices antropométricos como predictores de obesidad y riesgo metabólico en adolescentes de Loja Montoya Jaramillo, Verónica Luzmila Robles Cuenca, Diana Alexandra Obesity Overweight Adolescents Metabolic diseases Waist-to-height ratio Waist-to-hip ratio Waist circumference Obesidad Sobrepeso Adolescentes Enfermedades metabólicas Índice cintura estatura Índice cintura cadera Circunferencia de cintura Objective: determine anthropometric indices as predictors of obesity and metabolic risk in students of the Bernardo Valdivieso–Loja Millennium Educational Unit. Methodology: Descriptive study, cross-sectional cohort, prospective, quantitative approach, population of 281 adolescents from 14 to 18 years old; by taking anthropometric measurements of height (cm) and weight (kg) to obtain BMI; the ICE by dividing the waist circumference by the height; and waist and hip circumference was calculated to obtain the WHR, determining the risk of metabolic syndrome (MS). Results: according to the BMI, they showed that 80.43% (n=226) have a normal nutritional status, with a greater tendency in women; followed by overweight 11.39% (n=11) higher in men; low weight 4.63% (n=13) predominantly in women; grade I obesity 2.49% (n=7) higher in men; grade II 0.71% (n=2) for both sexes and grade III 0.36% (n=1) higher in women; These nutritional alterations predominated in 16-year-olds, women (n=68) and men (n=49). When determining metabolic risk using ICE, 74.01% (n=208) do not present risk and 25.99% (n=73) have risk, with 13.17% (n=37) being common in women. Regarding CHD, 88.97% (n=250) have no risk, 7.12% (n=20) are at very high risk and 3.91% (n=11) are at high risk, being more common in women with 5.34% (n=15) and 3.56% (n=10) respectively. Based on the CCI, 61.57% (n=173) do not present risk and 38.43% (n=108) present risk, mostly in men 22.06% (n=62). Conclusion: the correlation is verified using Spearman's non-parametric Rho test between obesity and metabolic risk. Objetivo: determinar los índices antropométricos como predictores de obesidad y riesgo metabólico en estudiantes de la Unidad Educativa del Milenio Bernardo Valdivieso–Loja. Metodología: Estudio tipo descriptivo, cohorte transversal, prospectivo, enfoque cuantitativo, población 281 adolescentes de 14 a 18 años; mediante la toma de medidas antropométricas de estatura (cm) y peso (kg) para obtener IMC; el ICE dividiendo la circunferencia de cintura entre la estatura; y se calculó la circunferencia de cintura y cadera para obtener el ICC, determinando el riesgo de síndrome metabólico (SM). Resultados: según el IMC mostraron que el 80.43% (n=226) presentan estado nutricional normal, con mayor tendencia en mujeres; seguido del sobrepeso 11,39% (n=11) mayor en varones; bajo peso 4,63% (n=13) predominante en mujeres; obesidad grado I 2,49% (n=7) mayor en varones; grado II 0,71% (n=2) para ambos sexos y grado III 0,36% (n=1) mayor en mujeres; estas alteraciones nutricionales predominaron en jóvenes de 16 años, mujeres (n=68) y varones (n=49). Al determinar el riesgo metabólico mediante ICE el 74,01% (n=208) no presenta riesgo y el 25,99% (n=73) tiene riesgo, siendo frecuente en mujeres 13,17% (n=37). En cuanto a CC el 88,97% (n=250) no tiene riesgo, el 7,12% (n=20) se encuentra en riesgo muy elevado y el 3,91% (n=11) riesgo elevado, siendo más común en mujeres con 5,34% (n=15) y 3,56% (n=10) respectivamente. En función del ICC el 61,57% (n=173) no presentan riesgo y el 38,43% (n=108) presenta riesgo, mayoritariamente en varones 22,06% (n=62). Conclusión: se comprueba la correlación mediante la prueba no paramétrica de Rho de Spearman entre la obesidad y el riesgo metabólico. Universidad Peruana Unión 2023-12-26 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://rccs.upeu.edu.pe/index.php/rc_salud/article/view/2021 10.17162/rccs.v16i2.2021 Revista Científica de Ciencias de la Salud; Vol. 16 No. 2 (2023): Revista Científica de Ciencias de la Salud; 52 - 60 Revista Científica de Ciencias de la Salud; Vol. 16 Núm. 2 (2023): Revista Científica de Ciencias de la Salud; 52 - 60 2411-0094 2306-0603 10.17162/rccs.v16i2 spa https://rccs.upeu.edu.pe/index.php/rc_salud/article/view/2021/2128 Derechos de autor 2023 Verónica Luzmila Montoya Jaramillo, Diana Alexandra Robles Cuenca
spellingShingle Obesity
Overweight
Adolescents
Metabolic diseases
Waist-to-height ratio
Waist-to-hip ratio
Waist circumference
Obesidad
Sobrepeso
Adolescentes
Enfermedades metabólicas
Índice cintura estatura
Índice cintura cadera
Circunferencia de cintura
Montoya Jaramillo, Verónica Luzmila
Robles Cuenca, Diana Alexandra
Anthropometric indices as predictors of obesity and metabolic risk in adolescents from Loja
title Anthropometric indices as predictors of obesity and metabolic risk in adolescents from Loja
title_alt Índices antropométricos como predictores de obesidad y riesgo metabólico en adolescentes de Loja
title_full Anthropometric indices as predictors of obesity and metabolic risk in adolescents from Loja
title_fullStr Anthropometric indices as predictors of obesity and metabolic risk in adolescents from Loja
title_full_unstemmed Anthropometric indices as predictors of obesity and metabolic risk in adolescents from Loja
title_short Anthropometric indices as predictors of obesity and metabolic risk in adolescents from Loja
title_sort anthropometric indices as predictors of obesity and metabolic risk in adolescents from loja
topic Obesity
Overweight
Adolescents
Metabolic diseases
Waist-to-height ratio
Waist-to-hip ratio
Waist circumference
Obesidad
Sobrepeso
Adolescentes
Enfermedades metabólicas
Índice cintura estatura
Índice cintura cadera
Circunferencia de cintura
topic_facet Obesity
Overweight
Adolescents
Metabolic diseases
Waist-to-height ratio
Waist-to-hip ratio
Waist circumference
Obesidad
Sobrepeso
Adolescentes
Enfermedades metabólicas
Índice cintura estatura
Índice cintura cadera
Circunferencia de cintura
url https://rccs.upeu.edu.pe/index.php/rc_salud/article/view/2021
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