RESUMO
RESUMEN Objetivo Evaluar la capacidad del Índice Cardiometabólico (ICM) para predecir alteraciones en las concentraciones en ayuno de glucosa, dislipidemia e hipertensión en adolescentes. Métodos El estudio fue descriptivo, correlacional y transversal. Se evaluaron 278 adolescentes de entre 12 y 15 años. Se determinó las concentraciones de glicemia, triglicéridos, HDL-c y se calculó el índice TG/HDL-c. Se midió el peso, talla y circunferencia de cintura y se determinó el Índice de Masa Corporal, el de conicidad y la relación cintura talla (Rel. CC-T). El producto de la Rel. CC-T y TG/HDL-C constituyó el índice cardiometabólico (ICM). Se determinó la presión arterial. Resultados El área bajo la curva ROC del ICM como predictor de dislipidemia, hipertensión (HTA) y glucosa alterada en ayunas (GAA) fue de 0,777 (IC 95%=0,712-0,842), 0,710 (IC 95%=0,559-0,853) y 0,564 (IC 95%=0,447-0,682), respectivamente. Conclusión En la muestra estudiada el ICM mostró capacidad de predecir dislipidemia e HTA, pero no para GAA.(AU)
ABSTRACT Objective To evaluate the ability of the Cardiometabolic Index (CMI) to predict alterations in fasting glucose concentrations, dyslipidemia and hypertension in adolescents. Materials and Methods Descriptive, correlational and cross-sectional study. 278 adolescents aged between 12 and 15 years were evaluated. Serum glucose, triglycerides and HDL-C were determined and the TG/HD-C ratio was estimated. Weight, height and waist circumference were measured and body mass index, conicity index and waist-to-height ratio (WHtR) were determined. The product of WHtR and TG/HDL-C was the Cardiometabolic Index (CMI). Blood pressure was determined. Results The area under the ROC curve of the CMI as a predictor of dyslipidemia, hypertension (AHT) and impaired fasting glucose (IFG) was 0.777 (CI 95% = 0.712 to 0.842), 0.710 (CI 95% = 0.559 to 0.853) and 0.564 (CI 95% = 0.447 to 0.682), respectively. Conclusion In the studied sample, CMI showed ability to predict dyslipidemia and hypertension, but not IFG.(AU)
RESUMO Objetivo Avaliar a capacidade do Índice Cardiometabólico (ICM) de predizer alterações nas concentrações de glicose em jejum, dislipidemia e hipertensão em adolescentes. Métodos O estudo foi descritivo, correlacional e transversal. Foram avaliados 278 adolescentes entre 12 e 15 anos. As concentrações de glicemia, triglicerídeos, HDL-c foram determinadas e o índice TG / HDL-c foi calculado. Peso, altura e circunferência da cintura foram medidos e o Índice de Massa Corporal, o índice de conicidade e a relação cintura-comprimento (Rel. CC-T) foram determinados. O produto do Rel. CC-T e TG / HDL-C constituiu o índice cardiometabólico (ICM). A pressão arterial foi determinada. Resultados A área sob a curva ICM ROC como um preditor de dislipidemia, hipertensão (HT) e glicemia de jejum alterada (GAA) foi 0,777 (IC 95% = 0,712-0,842), 0,710 (IC 95% = 0,559-0,853) e 0,564 (IC 95% = 0,447-0,682), respectivamente. Conclusão Na amostra estudada, o ICM apresentou capacidade de predizer dislipidemia e TH, mas não para GAA.(AU)
Assuntos
Humanos , Adolescente , Metabolismo Basal , Glicemia/análise , Índice de Massa Corporal , Dislipidemias/sangue , Hipertensão/diagnóstico , Epidemiologia Descritiva , Estudos Transversais/instrumentação , Correlação de DadosRESUMO
OBJECTIVE: To evaluate the ability of the Cardiometabolic Index (CMI) to predict alterations in fasting glucose concentrations, dyslipidemia and hypertension in adolescents. MATERIALS AND METHODS: Descriptive, correlational and cross-sectional study. 278 adolescents aged between 12 and 15 years were evaluated. Serum glucose, triglycerides and HDL-C were determined and the TG/HD-C ratio was estimated. Weight, height and waist circumference were measured and body mass index, conicity index and waist-to-height ratio (WHtR) were determined. The product of WHtR and TG/HDL-C was the Cardiometabolic Index (CMI). Blood pressure was determined. RESULTS: The area under the ROC curve of the CMI as a predictor of dyslipidemia, hypertension (AHT) and impaired fasting glucose (IFG) was 0.777 (CI 95% = 0.712 to 0.842), 0.710 (CI 95% = 0.559 to 0.853) and 0.564 (CI 95% = 0.447 to 0.682), respectively. CONCLUSION: In the studied sample, CMI showed ability to predict dyslipidemia and hypertension, but not IFG.
OBJETIVO: Evaluar la capacidad del Índice Cardiometabólico (ICM) para predecir alteraciones en las concentraciones en ayuno de glucosa, dislipidemia e hipertensión en adolescentes. MÉTODOS: El estudio fue descriptivo, correlacional y transversal. Se evaluaron 278 adolescentes de entre 12 y 15 años. Se determinó las concentraciones de glicemia, triglicéridos, HDL-c y se calculó el índice TG/HDL-c. Se midió el peso, talla y circunferencia de cintura y se determinó el Índice de Masa Corporal, el de conicidad y la relación cintura talla (Rel. CC-T). El producto de la Rel. CC-T y TG/HDL-C constituyó el índice cardiometabólico (ICM). Se determinó la presión arterial. RESULTADOS: El área bajo la curva ROC del ICM como predictor de dislipidemia, hipertensión (HTA) y glucosa alterada en ayunas (GAA) fue de 0,777 (IC 95%=0,712-0,842), 0,710 (IC 95%=0,559-0,853) y 0,564 (IC 95%=0,447-0,682), respectivamente. CONCLUSIÓN: En la muestra estudiada el ICM mostró capacidad de predecir dislipidemia e HTA, pero no para GAA.
Assuntos
Técnicas de Apoio para a Decisão , Dislipidemias/diagnóstico , Indicadores Básicos de Saúde , Hiperglicemia/diagnóstico , Hipertensão/diagnóstico , Adolescente , Biomarcadores/sangue , Glicemia/metabolismo , Criança , Estudos Transversais , Dislipidemias/sangue , Dislipidemias/etiologia , Feminino , Humanos , Hiperglicemia/sangue , Hiperglicemia/etiologia , Hipertensão/sangue , Hipertensão/etiologia , Masculino , Curva ROC , Fatores de RiscoRESUMO
Results from a nutritional assessment are presented to establish the usual food consumption pattern of 438 children between 4-14 years of age, from a low income urban community in Valencia, Venezuela. Food intake data were collected through multiple 24 hours recalls and converted to individual food item weight in grams. Amounts of energy, macronutrients, iron, calcium, vitamin A, and vitamin C were estimated to compare them to national references. The food pattern was established according to intake frequency per food item and per food groups. Arepa was the most commonly consumed food item, and a main source of kilocalories, protein, carbohydrates, iron, and vitamin A. Unlike coffee, fruits were not among the most commonly consumed foods. Black beans were the main source of protein. Cookies and sodas were among the major sources of energy. Energy and nutrient intake were adequate, except for calcium (67% in preschoolers y 43% in school-aged children). Preschoolers' diet showed a better adequacy for all nutrients (p < 0.005), except for iron which was significantly higher in school-aged children. Since children below 15 years old are still forming food behaviors and habits, they are an ideal group to develop nutritional education strategies to modify harmful patterns such as high intake of sodas, and low intakes of calcium rich foods.