RESUMEN
BACKGROUND: To evaluate the relationship of body composition indexes with altered metabolic analytical parameters that show higher risk of cardiovascular disease in young adults. MATERIAL AND METHODS: A cross-sectional study. Sample of 1351 young adults, different body composition parameters were obtained such as Waist Circumference (WC), Hip Circumference (HC), Body Mass Index (BMI), Body Fat% (BF%), Waist-to-height Ratio (WHtR), and Waist-Hip Ratio (WHR), conicity index (C-Index), body surface area (BSA), abdominal volume index (AVI) and deep abdominal adipose-tissue (AT). Areas under receiver operating characteristic curves (AUCs) and odds ratios for the parameters were analyzed and their optimal cut-offs. Separately a MANOVA was applied to altered metabolic analytical parameters and two body composition indexes (BMI and BSA) and their interaction. RESULTS: BMI correlate significantly with metabolic analytical parameters (FPG r = 0.08, TCh r = 0.14, TGL r = 0.23, HDL-C r = -0.23, LDL-C r = 0.2, UA r = 0.22, All P < 0.01), BSA correlate with all (All P < 0.001) except FPG. BMI and BSA correlate significantly with all metabolic analytical parameters (All P < 0.001). The BMI individually predicts the changes of the six metabolic analytical parameters as a set [Wilk's Lambda = 0.89, F(18,1570) = 3.4, P < 0.0001], but not BSA [Wilk's Lambda = 0.98, F(6,555) = 1.4, P = 0.18], the interaction between these two indexes (BMI and BSA altered in the same individual) significantly predicts changes of the six metabolic analytical parameters of cardiovascular disease risk [Wilk's Lambda = 0.97, F(6,555) = 2.3, P = 0.03]. CONCLUSIONS: BMI and BSA correlate with cardiovascular disease risk factor. They are superior to WC, WHtR, WHR, BF%, C-index, AVI and AT
OBJETIVO: Evaluar la relación de los índices de composición corporal con los parámetros analíticos metabólicos alterados que muestran mayor riesgo de enfermedad cardiovascular en adultos jóvenes. MATERIAL Y MÉTODOS: Estudio transversal. Muestra de 1.351 adultos jóvenes, se obtuvieron diferentes parámetros de composición corporal: circunferencia de cintura (WC), circunferencia de cadera (HC), índice de masa corporal (IMC), % de grasa corporal (BF%), índice cintura-altura (WHtR) e índice cintura-cadera (WHR), índice de conicidad (C-index), superficie corporal (BSA), índice de volumen abdominal (AVI) y tejido adiposo abdominal profundo (AT). Se analizaron áreas bajo la curva y razones de momios de los parámetros y sus puntos de corte óptimos. Se aplicó un MANOVA por separado a los parámetros analíticos metabólicos alterados y 2 índices de composición corporal (IMC y BSA) y su interacción. RESULTADOS: El IMC se correlacionó con los parámetros analíticos metabólicos (FPG r = 0,08, TCh r = 0,14, TGL r = 0,23, HDL-C r = -0,23, LDL-C r = 0,2, UA r = 0,22; todos p < 0,01), BSA correlacionó con todos (p < 0,001) menos con FPG. El IMC, por sí solo, predice los cambios en los 6 parámetros analíticos metabólicos del riesgo de enfermedad cardiovascular en conjunto (Wilk's Lambda = 0,89, F [18,1570] = 3,4; p < 0,0001), pero no la BSA (Wilk's Lambda = 0,98, F [6,555]=1,4; p = 0,18), la interacción entre estos 2 índices (IMC y BSA alterados en el mismo individuo) predice significativamente los cambios de los 6 componentes metabólicos (Wilk's Lambda = 0,97, F [6,555] = 2,3; p = 0,03). CONCLUSIONES: El IMC y la BSA están relacionados con los factores de riesgo de enfermedad cardiovascular. Son superiores a WC, WHtR, WHR, BF%, C-index, AVI y AT
Asunto(s)
Humanos , Masculino , Femenino , Adolescente , Adulto Joven , Constitución Corporal , Enfermedades Cardiovasculares/etiología , Enfermedades Cardiovasculares/metabolismo , Estudios Transversales , Área Bajo la Curva , Biomarcadores/metabolismo , Distribución de la Grasa Corporal , Índice de Masa Corporal , Enfermedades Cardiovasculares/diagnóstico , Oportunidad Relativa , Curva ROC , Factores de Riesgo , Circunferencia de la Cintura , Relación Cintura-Estatura , Relación Cintura-CaderaRESUMEN
BACKGROUND: To evaluate the relationship of body composition indexes with altered metabolic analytical parameters that show higher risk of cardiovascular disease in young adults. MATERIAL AND METHODS: A cross-sectional study. Sample of 1351 young adults, different body composition parameters were obtained such as Waist Circumference (WC), Hip Circumference (HC), Body Mass Index (BMI), Body Fat% (BF%), Waist-to-height Ratio (WHtR), and Waist-Hip Ratio (WHR), conicity index (C-Index), body surface area (BSA), abdominal volume index (AVI) and deep abdominal adipose-tissue (AT). Areas under receiver operating characteristic curves (AUCs) and odds ratios for the parameters were analyzed and their optimal cut-offs. Separately a MANOVA was applied to altered metabolic analytical parameters and two body composition indexes (BMI and BSA) and their interaction. RESULTS: BMI correlate significantly with metabolic analytical parameters (FPG r=0.08, TCh r=0.14, TGL r=0.23, HDL-C r=-0.23, LDL-C r=0.2, UA r=0.22, All P<0.01), BSA correlate with all (All P<0.001) except FPG. BMI and BSA correlate significantly with all metabolic analytical parameters (All P<0.001). The BMI individually predicts the changes of the six metabolic analytical parameters as a set [Wilk's λ=0.89, F(18,1570)=3.4, P<0.0001], but not BSA [Wilk's λ=0.98, F(6,555)=1.4, P=0.18], the interaction between these two indexes (BMI and BSA altered in the same individual) significantly predicts changes of the six metabolic analytical parameters of cardiovascular disease risk [Wilk's λ=0.97, F(6,555)=2.3, P=0.03]. CONCLUSIONS: BMI and BSA correlate with cardiovascular disease risk factor. They are superior to WC, WHtR, WHR, BF%, C-index, AVI and AT.