3 resultados para Aperture height index

em Universidad del Rosario, Colombia


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El estado nutricional es un indicador de calidad de vida de los individuos; la malnutrición se ha constituido en una problemática de la población infantil de países en vía de desarrollo cuya reducción se ha incluido en los objetivos del Milenio; para su abordaje, Colombia implementó el Sistema de Vigilancia Epidemiológica Alimentaria y Nutricional –SISVAN- que desde 1998, ha recopilado información del estado nutricional de niños y niñas. Metodología: Estudio descriptivo longitudinal con un análisis evolutivo (pruebas ANOVA y Bonferoni) de la malnutrición en infantes de Bogotá, con base en los reportes del SISVAN desde 1998 al 2009. La clasificación nutricional se determinó mediante gráficas de la NCHS. Empleamos software SPSS 15. Resultados: 1’836.903 registros totales depurados (895638 niñas y 941265 niños), pertenecientes a 20 localidades de Bogotá. La prevalencia de malnutrición encontrada varía según el indicador antropométrico utilizado (Peso/Edad, Talla/Edad y Peso/Talla), así: desnutrición global varía de 2.6%(1998) a 2.8%(2009); de 1.5%(1998) a 1.6%(2009) para sobrepeso y para obesidad 0.8% según el indicador Peso/Edad para ambos géneros. Indicador Talla/Edad: prevalencias de 5.1%(1998) a 4.8%(2009) para desnutrición crónica y retraso de crecimiento de 11.7%(1998) a 11.1% (2009). Indicador Peso/Talla se encuentra: 12.7%(1998) a 12.6%(2009) para desnutrición aguda, 4.9%(1998) a 4.2%(2009) para sobrepeso y para obesidad de 4.8%(1998) a 4.0%(2009). Conclusiones: Existen diferencias significativas entre las prevalencias de desnutrición, sobrepeso y obesidad durante los años de reporte del SISVAN, observándose una tendencia al decrecimiento en obesidad, desnutrición aguda y crónica, y a un comportamiento sin variaciones para sobrepeso.

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Background: Indices predictive of central obesity include waist circumference (WC) and waist-to-height ratio (WHtR). The aims of this study were 1) to establish a Colombian youth smoothed centile charts and LMS tables for WC and WHtR and 2) to evaluate the utility of these parameters as predictors of overweight and obesity. Method: A cross-sectional study whose sample population comprised 7954 healthy Colombian schoolchildren [boys n=3460 and girls n=4494, mean (standard deviation) age 12.8 (2.3) years old]. Weight, height, body mass index (BMI), WC and WHtR and its percentiles were calculated. Appropriate cut-offs point of WC and WHtR for overweight and obesity, as defined by the International Obesity Task Force (IOTF) definitions, were selected using receiver operating characteristic (ROC) analysis. The discriminating power of WC and WHtR was expressed as area under the curve (AUC). Results: Reference values for WC and WHtR are presented. Mean WC increased and WHtR decreased with age for both genders. We found a moderate positive correlation between WC and BMI (r= 0.756, P < 0.01) and WHtR and BMI (r= 0.604, P < 0.01). The ROC analysis showed a high discrimination power in the identification of overweight and obesity for both measures in our sample population. Overall, WHtR was slightly a better predictor for overweight/obesity (AUC 95% CI 0.868-0.916) than the WC (AUC 95% CI 0.862-0.904). Conclusion: This paper presents the first sex- and age-specific WC and WHtR percentiles for both measures among Colombian children and adolescents aged 9–17.9 years. By providing LMS tables for Latin-American people based on Colombian reference data, we hope to provide quantitative tools for the study of obesity and its comorbidities.

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Abstract Objective: Evidence shows an association between muscular strength (MS) and health among youth, however low muscular strength cut-points for the detection of high metabolic risk in Latin-American populations are scarce. The aim of this study was two-fold: to explore potential age- and sex-specific thresholds of MS, for optimal cardiometabolic risk categorization among Colombian children and adolescents; and to investigate if cardiometabolic risk differed by MS group by applying the receiver operating characteristic curve (ROC) cut point. Methods: This is a secondary analysis of a cross-sectional study (the FUPRECOL study), published elsewhere. The FUPRECOL study assessments were conducted during the 2014– 2015 school year. MS was estimated by a handle dynamometer on 1,950 children and adolescents from Colombia, using the MS relative to weight (handgrip strength/body mass). A metabolic risk score was computed from the following components: waist circumference, triglycerides, HDL-c, glucose, systolic and diastolic blood pressure. ROC analysis showed a significant discriminatory accuracy of MS in identifying the low/high metabolic risk in children and adolescents and both gender. Results: In children, handgrip strength/body mass level for a low metabolic risk were 0.359 and 0.376 in girls and boys, respectively. In adolescents, these points were 0.440 and 0.447 in girls and boys, respectively. Conclusion: In conclusion, the results suggest a hypothetical MS level relative to weight for having a low metabolic risk, which could be used to identify youths at risk.