2008, Número 2
<< Anterior Siguiente >>
Bol Med Hosp Infant Mex 2008; 65 (2)
Estudio piloto para la identificación de indicadores antropométricos asociados a marcadores de riesgo de síndrome metabólico en escolares mexicanos
Balas-Nakash M, Villanueva-Quintana A, Tawil-Dayan S, Schiffman-Selechnik E, Suverza-Fernández A, Vadillo-Ortega F, Perichart-Perera O
Idioma: Español
Referencias bibliográficas: 42
Paginas: 100-109
Archivo PDF: 154.33 Kb.
RESUMEN
Introducción. La obesidad aumenta el riesgo de presentar hipertensión arterial, hiperinsulinemia, obesidad abdominal e hipertriacilgliceridemia en todos los estratos etarios. Debido a la necesidad de crear herramientas de tamizaje para detectar oportunamente estas comorbilidades, es necesario conocer cuáles son los indicadores antropométricos que se asocian con marcadores de riesgo de desarrollo de síndrome metabólico.
Métodos. Estudio piloto en donde se realizó una evaluación antropométrica (índice de masa corporal [IMC], circunferencia de cintura, índice circunferencia de cintura/estatura) y su asociación con marcadores de riesgo de síndrome metabólico en 188 escolares de la Ciudad de México (9-12 años de edad).
Resultados y conclusiones. La medición de la circunferencia de cintura demostró ser un mejor indicador de riesgo de hipertensión e hipertriacilgliceridemia con respecto al IMC; el índice circunferencia cintura/estatura fue el mejor predictor de la hipertriacilgliceridemia. En escolares con obesidad, la circunferencia de cintura explica la mitad de la variabilidad de la presión arterial.
REFERENCIAS (EN ESTE ARTÍCULO)
Olaiz G, Rivera J, Shamah T, Rojas R, Villalpando S, Hernández M, et al. Encuesta Nacional de Salud y Nutrición 2006. Cuernavaca, México: Instituto Nacional de Salud Pública; 2006.
Perichat-Perera O, Balas-Nakash M, Schiffman-Selechnik E, Barbato-Dosal A, Vadillo-Ortega F. Obesity increases metabolic syndrome risk factors in school-age children from an urban school in Mexico City. J Am Diet Assoc. 2007; 107: 81-91.
Freedman D, Dietz W, Srinivasan S, Berenson G. The relation of overweight to cardiovascular risk factors among children and adolescents: The Bogalusa Heart study. Pediatrics. 1999; 103: 1175-82.
Weiss R, Dziura J, Burgert T, Tamborlane W, Taksali S, Yeckel C, et al. Obesity and the metabolic syndrome in children and adolescents. N Engl J Med. 2004; 350: 2362-75.
Rodríguez-Morán M, Salazar-Vázquez B, Violante R, Guerrero-Romero F. Metabolic syndrome among children and adolescents aged 10-18 years. Diabetes Care. 2004; 27: 2516-7.
Katzmarzyk P, Srivivasan S, Chen W, Malina R, Bouchard C, Berenson G. Body mass index, waist circumference, and clustering of cardiovascular disease risk factors in a biracial sample of children and adolescents. Pediatrics. 2004; 114: 198-205.
Moreno L, Pineda I, Rodríguez G, Fleta J, Sarría A, Bueno M. Waist circumference for the screening of the metabolic syndrome in children. Acta Pediatr. 2002; 91: 1307-12.
Ng V, Kong A, Choi K, Ozaki R, Wong G, So W, et al. BMI and waist circumference in predicting cardiovascular risk factor clustering in Chinese adolescents. Obesity. 2007; 15: 494-503.
Hirschler V, Maccallini G, Calcagno M, Aranda C, Jadzinsky M. Waist circumference identifies primary school children with metabolic syndrome abnormalities. Diabetes Technol Ther. 2007; 9: 149-57.
Shen W, Punyanitya M, Chen J, Gallagher D, Albu J, Pi-Sunyer X, et al. Waist circumference correlates with metabolic syndrome indicators better than percentage fat. Obesity. 2006; 14: 727-36.
Lee S, Bacha F, Arslanian S. Waist circumference, blood pressure, and lipid components of the metabolic syndrome. J Pediatr. 2006; 149: 809-16.
Maffeis C, Pietrobelli A, Grezzani A, Provera S, Tato L. Waist circumference and cardiovascular risk factors in prepubertal children. Obes Res. 2001; 9: 179-87.
Gómez-Díaz R, Martínez-Hernández A, Aguilar-Salinas C, Violante R, Alarcón M, Villarruel M, et al. Percentile distribution of the waist circumference among Mexican pre-adolescents of a primary school in Mexico City. Diabetes Obes Metab. 2005; 7: 716-21.
Tong J, Boyko E, Utzschneider KM, McNeely M, Hayashi T, Carr D, et al. Intra-abdominal fat accumulation predicts the development of the metabolic syndrome in non-diabetic Japanese-Americans. Diabetologia. 2007; 50: 1156-60.
Ondrak K, McMurray R, Bangdiwala S, Harrell J. Influence of aerobic power and percent body fat on cardiovascular disease risk in youth. J Adolesc Health. 2007; 41: 146-52.
Schutte A, Van Rooyen J, Huisman H, Kruger H, Ridder J. Factor analysis of possible risks for hypertension in a black South African population. J Hum Hypertens. 2003; 17: 339-48.
Retnakaran R, Zinman B, Connelly P, Harris S, Hanley A. Nontraditional cardiovascular risk factors in pediatric metabolic syndrome. J Pediatr. 2006; 148: 176-82.
Ghosh M. Factor analysis of risk variables associated with metabolic syndrome in Asian Indian adolescents. Am J Hum Biol. 2007; 19: 34-40.
Li C, Ford E. Is there a single underlying factor for the metabolic syndrome in adolescents? A confirmatory factor analysis. Diabetes Care. 2007; 30: 1556-61.
Centro Nacional de Estadísticas de Salud y el Centro Nacional para la Prevención de Enfermedades Crónicas y Promoción de Salud. Tablas de percentiles del Índice de Masa Corporal por edad y sexo para niños y niñas de 2 a 20 años de edad. Estados Unidos; 2000.
Lohman T. Advances in body composition assessment. Human Kinetics. Champaign IL: Publishers; 1992.
National Institutes of Health. National Heart, Lung and Blood Institute. Clinical Guidelines on the Identification, Evaluation and Treatment of Overweight and Obesity in Adults. United States: The Evidence Report; 1998.
Esmaillzadeh A, Mirmiran P, Azizi F. Clustering of metabolic abnormalities in adolescents with the hypertriglyceridemic waist phenotype. Am J Clin Nutr. 2006; 83: 36-46.
Pickering T, Hall J, Appel L, Falkner B, Graves J, Hill M, et al. Recommendations for blood pressure measurement in humans and experimental animals. A statement for professionals from the Subcommittee of Professional and Public Education of the American Heart Association Council on high blood pressure research. Hypertension. 2005; 45: 142-61.
National High Blood Pressure Education Program Working Group on High Blood Pressure in Children and Adolescents. The fourth report on the diagnosis, evaluation, and treatment of high blood pressure in children and adolescents. Pediatrics. 2004; 114: 555-76.
Trinder P. Determination of glucose in blood using glucose oxidase with an alternative oxygen acceptor. Ann Clin Biochem. 1969; 6: 24.
Frieldwald W, Levy R, Frederickson D. Estimation of the concentration of low density lipoprotein cholesterol in plasma without use of preparative ultracentrifuge. Clin Chem. 1972; 18: 499-502.
Keskin M, Kurtoglu S, Kendirci M, Atabek M, Yazici C. Homeostasis model assessment is more reliable than the fasting glucose/insulin ratio and quantitative insulin sensitivity check index for assessing insulin resistance among obese children and adolescents. Pediatrics. 2005; 115: 500-3.
Conwell L, Trost S, Brown W, Batch J. Indexes of insulin resistance and secretion in obese children and adolescents. Diabetes Care. 2004; 27: 314-9.
Consensus Statement from the American Heart Association. Dietary recommendations for children and adolescents. A guide for practitioners. Circulation. 2005; 112: 2061-75.
Chávez M, Hernández M, Roldan J. Tabla de uso práctico del valor nutritivo de los alimentos de mayor consumo en México. Comisión Nacional de Alimentación. México: Instituto Nacional de la Nutrición Salvador Zubirán; 1992.
Expert Panel on Detection, Evaluation, and Treatment of High Cholesterol in Adults. Executive summary of the third report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation and Treatment of High Cholesterol in Adults (Adult Treatment Panel III). JAMA. 2001; 285: 2486-97.
Romero-Velarde E, Campollo-Rivas O, Celis A. Factores de riesgo de dislipidemia en niños y adolescentes con obesidad. Salud Publica Mex. 2007; 49: 103-8.
Garcés C, de Oya M. Factores de riesgo cardiovascular en la edad infantil. Resultados globales del estudio de Cuatro Provincias. Rev Esp Cardiol. 2007; 60: 517-24.
Hirschler V, Aranda C, Calcagno M, Maccalini G, Jadzinsky M. Can waist circumference indentify children with the metabolic syndrome? Arch Pediatr Adolesc Med. 2005; 159: 740-4.
Kahn H, Imperatore G, Cheng Y. A population-based comparison of BMI percentiles and waist-to-height ratio for identifying cardiovascular risk in youth. J Pediatr. 2005; 146: 482-8.
Yamamoto-Kimura L, Posadas-Romero C, Posadas-Sanchez R, Zamora-González J, Cardoso-Saldaña G, Mendez-Ramírez I. Prevalence and interrelations of cardiovascular risk factors in urban and rural Mexican adolescents. J Adolesc Health. 2006; 49: 591-8.
Savva S, Tornaritis M, Savva M, Kourides Y, Panagi A, Silikiotou N, et al. Waist circumference and waist-to-height ratio are better predictors of cardiovascular disease risk factors in children than body mass index. Int J Obes Relat Metab Disord. 2000; 24: 1453-8.
McCarthy H. Body fat measurements in children as predictors for the metabolic syndrome: focus on waist circumference. Proc Nutr Soc. 2006; 65: 385-92.
Weili Y, Yao H, Dai J, Cui J, Ge D, Zheng Y, et al. Waist-to-height ratio is an accurate and easier index for evaluating obesity in children and adolescents. Obesity. 2007; 15: 748-52.
Freedman D, Serdula M, Srinivasan S, Berenson G. Relation of circumferences and skinfold thicknesses to lipid and insulin concentrations in children and adolescents: the Bogalusa Heart Study. Am J Clin Nutr. 1999; 69: 308-17.
Zimmet P, Alberti G, Kaufman F, Tajima N, Silink M, Arslanian S, et al. The metabolic syndrome in children and adolescents. Lancet. 2007; 369: 2059-61.