2007, Número 2
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salud publica mex 2007; 49 (2)
Prevalence of the metabolic syndrome and associated lifestyles in adult males from Oaxaca, Mexico
Ramírez-Vargas E, Arnaud-Viñas MR, Delisle H
Idioma: Español
Referencias bibliográficas: 51
Paginas: 94-102
Archivo PDF: 110.20 Kb.
RESUMEN
Objetivo. Determinar las asociaciones entre el síndrome metabólico (SM) con el área residencial y el estilo de vida en hombres de Oaxaca, México.
Material y métodos. Estudio transversal en 325 adultos en cuatro áreas residenciales: rural y urbano (pobre, medio y rico), realizado en 1998. Se utilizó la definición de IDF para SM y documentó la actividad física y dieta. Con base en dos recordatorios de 24-horas, se construyó un índice de calidad nutricional (ICN) utilizando ocho recomendaciones de la OMS para la prevención de enfermedades crónicas.
Resultados. La prevalencia general del SM fue de 41.2%, y doblemente mayor en urbanos ricos (45.4%) que en rurales (27.6%). Un riesgo significativamente más elevado de SM se asoció con un ICN bajo en urbanos pobres y en sujetos ricos (OR 3.2; IC: 1.5-8.6). La actividad física fue un factor protector independiente.
Conclusiones. El SM es altamente prevalente en hombres aparentemente sanos en áreas urbanas, lo cual refleja el papel de la transición nutricional y del estilo de vida.
REFERENCIAS (EN ESTE ARTÍCULO)
Reilly MP, Rader DJ. The metabolic syndrome: more than the sum of its parts? Circulation 2003;108:1546-1551.
Lakka H-M, Laaksonen DE, Lakka TA, Niskanen LK, Kumpusalo E, Tuomilehto J, et al. The metabolic syndrome and total and cardiovascular disease mortality in middle-age men. JAMA 2002;288:2709-2716.
Alberti KG, Zimmet PZ. Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus, provisional report of a WHO consultation. Diabet Med 1998;15:539-553.
Executive Summary of The Third Report of The National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, And Treatment of High Blood Cholesterol In Adults (Adult Treatment Panel III). JAMA 2001;285:2486-2497.
Balkau B, Charles MA. Comment on the provisional report from the WHO consultation. European Group for the Study of Insulin Resistance (EGIR). Diabet Med 1999;16:442-443.
Alberti KG, Zimmet P, Shaw J, The metabolic syndrome - a new worldwide definition. Lancet 2005;366:1059-1062.
Carr DB, Utzschneider KM, Hull RL, Kodama K, Retzlaff BM, Brunzell JD, et al. Intra-abdominal fat is a major determinant of the National Cholesterol Education Program Adult Treatment Panel III criteria for the metabolic syndrome. Diabetes 2004;53:2087-2094.
Pouliot MC, Després JP, Lemieux S, Moorjani S, Bouchard C, Tremblay A et al. Waist circumference and abdominal sagittal diameter: best simple anthropometric indexes of abdominal visceral adipose tissue accumulation and related cardiovascular risk in men and women. Am J Cardiol 1994;73:460-468.
Groop L. Genetics of the metabolic syndrome. Br J Nutr 2000;83 Suppl 1:S39-S48.
Lidfeldt J, Nyberg P, Nerbrand C, Samsioe G, Schersten B, Agardh CD. Socio-demographic and psychosocial factors are associated with features of the metabolic syndrome: the Women’s Health in the Lund Area (WHILA) study. Diabetes Obes Metab 2003;5:106-112.
Hales CN, Barker DJP. The thrifty phenotype hypothesis. Br Med Bull 2001;60:5-20.
Torjesen PA, Birkeland KI, Anderssen SA, Hjermann I, Holme I, Urdal P. Lifestyle changes may reverse development of the insulin resistance syndrome. The Oslo Diet and Exercise Study: a randomized trial. Diabetes Care 1997;20:26-31.
Eriksson J, Taimela S, Koivisto VA. Exercise and the metabolic syndrome. Diabetologia 1997;40:125-135.
Wareham NJ, Hennings SJ, Byrne CD, Hales CN, Prentice AM, DayNE. A quantitative analysis of the relationship between habitual energy expenditure, fitness and the metabolic cardiovascular syndrome. Br J Nutr 1998;80:235-241.
Olaiz G, Rojas R, Barquera S, Shamah T, Aguilar C, Cravioto P, et al. Encuesta Nacional de Salud 2000. Tomo 2 La salud de los adultos. Cuernavaca, Morelos, México: INSP, 2003.
Rivera JA, Barquera S, Campirano F, Campos I, Safdie M, Tovar V. Epidemiological and nutritional transition in Mexico: rapid increase of non-communicable chronic diseases and obesity. Public Health Nutrition 2002;5:113-122, Estadísticas vitales, Daños a la Salud y Mortalidad. México, Dirección General de Estadística e Informática. Secretaría de Salud, 2002.
Frenk J, Frejka T, Bobadilla JL, Stern C, Lozano M, Sepúlveda J, et al. The epidemiologic transition in Latin America [in Spanish]. Bol Oficina Sanit Panam 1991;111(6):485-496.
Hernandez-Diaz S, Peterson K, Dixit S, Hernandez-Prado B, Parra S, Barquera S, et al. Association of maternal short stature with stunting in Mexican children: common genes vs common environment. Eur J Clin Nutr 1999;53:938-945.
Drewnowski A, Popkin BM. The nutrition transition: new trends in the global diet. Nutr Rev 1997;55(2):31-43.
Peña M, Bacallao J. Obesity and poverty: an emerging problem in the Americas. In: Peña MaBJ, ed. Obesity and Poverty: A New Public Health Challenge. PAHO Scientific Publication No. 576. Washington, DC: Pan American Health Organization, 2000;132.
Harpham T, Stephens C. Urbanization and health in developing countries. World Health Stat Q 1991;44:62-69.
Popkin BM. The nutrition transition in low-income countries: an emerging crisis. Nutr Rev 1994;52:285-298
Zamora-Gonzalez J, Yamamoto-Kimura L, Lerman-Garber I, Gardoso-Saldaña G, Fajardo-Gutierrez A, Posadas-Romero C. Clustering of metabolic disorders and hyperinsulinemia in Mexico City. Int J Obesity 1996;20:311-318.
Instituto Nacional de Estadística, Geografía e Informática. XI Censo de población y vivienda. México: INEGI, 1990.
Villalvazo-Peña P, Corona-Medina JP, García-Mora S. Urbano-rural, constante búsqueda de fronteras conceptuales. Revista de información y análisis 2002;20:17-24.
Matthews D, Hosler JP, Rudenski AS, Naylor BA, Treacher DF, Turner R. Homeostasis model assessment: Insulin resistance and B-cell function from fasting plasma glucose and insulin concentration in man. Diabetologia 1985;28:412-419.
Ford ES, Giles WA. Comparison of the Prevalence of the Metabolic Syndrome Using Two Proposed Definitions. Diabetes Care 2003;26: 575-581.
Daveluy C, Pica L, Audet N, Courtemanche R, Lapointe F. Enquête sociale et de santé 1998, 2nd edition. Québec: Institut de la statistique du Québec, 2000.
Gibson RS. Principles of nutritional assessment. New York: Oxford University Press, 1990.
Food and Agriculture Organization/World Health Organization. Expert Consultation, Diet, nutrition and the prevention of chronic diseases. Geneva: WHO, 2003:1-108.
Breslow NE, Day NE. Statistical methods in cancer research, Lyon: International Agency for Research on Cancer, 1987.
Ford E, Giles W, Dietz W. Prevalence of the metabolic syndrome among US adults. JAMA 2002;287:356-359.
Aguilar-Salinas CA, Rojas R, Gómez-Pérez FJ, Valles V, Ríos-Torres JM, Franco A, et al. High prevalence of metabolic syndrome in Mexico. Arch Med Res 2004;35:76-81.
Lorenzo C, Williams K, Gonzalez-Villalpando C and Haffner SM. The Prevalence of the Metabolic Syndrome Did Not Increase in Mexico City Between 1990–1992 and 1997–1999 Despite More Central Obesity. Diabetes Care 2005;28:2480-2485.
Hunt KJ, Heiss G, Sholinsky PD, Province MA, FHS Investigators. Familial History of Metabolic Disorders and the Multiple Metabolic Syndrome: The NHLBI Family Heart Study. Genet Epidemiol 2000; 19:395-409.
Ekoé JM, Thomas F, Balkau B, Eschwege E, Delisle H. Effect of maternal diabetes on the patterns of selected insulin resistance syndrome parameters in normal glucose tolerant subjects of two Algonquin Indian communities in Quebec. Diabetes Care 1996;19:822-826.
Irwin ML, Ainsworth BE, Mayer-Davis EJ, Addy CL, Pate RR, Durstine JL. Physical activity and the metabolic syndrome in a tri-ethnic sample of women. Obes Res 2002;10:1030-1037.
Norgan NG. Long-term physiological and economic consequences of growth retardation in children and adolescents. Proc Nutr Soc 2000;59:245-256.
Wadsworth MEJ, Hardy RJ, Paul AA, Marshall SF, Cole TJ. Leg and trunk length at 43 years in relation to childhood health, diet and family circumstances; evidence from the 1946 national birth cohort. Int J Epidemiol 2002;31:383-390.
Boney CM, Verma A, Tucker R, Vohr BR. Metabolic syndrome in childhood: Association with birth weight, maternal obesity, and gestational diabetes mellitus. Pediatrics 2005;115:e290-296.
Li C, Johnson MS, Goran MI. Effects of Low Birth Weight on Insulin Resistance Syndrome in Caucasian and African-American Children. Diabetes Care 2001;24:2035-2042.
Leger J, Levy-Marchal C, Bloch J, Pinet A, Chevenne D, Porquet D, et al. Reduced final height and indications for insulin resistance in 20 year olds born small for gestational age: regional cohort study. Br Med J 1997;315:341-347.
Smith GD, Greenwood R, Gunnell D, Sweetnam P, Yarnell J, Elwood P. Leg length, insulin resistance, and coronary heart disease risk: The Caerphilly Study. J Epidemiol Community Health 2001;55:867-872.
Malina RM, Buschang PH, Aronson WL, Selby HA. Aging in selected anthropometric dimensions in a rural Zapotec-speaking community in the Valley of Oaxaca, Mexico. Soc Sci Med 1982;16:217-222.
Rivera JA, Sepulveda-Amor J. Conclusions from the Mexican National Nutrition Survey 1999: translating results into nutrition policy. Salud Publica Mex 2003;45 Suppl 4:S565-S575.
Vessby B. Dietary fat, fatty acid composition in plasma and the metabolic syndrome. Curr Opin Lipidol 2003;14:15-19.
Warensjo E, Sundstrom J, Lind L, Vessby B. Factor analysis of fatty acids in serum lipids as a measure of dietary fat quality in relation to the metabolic syndrome in men. Am J Clin Nutr 2006;84:442-448.
Liu S, Manson JE. Dietary carbohydrates, physical inactivity, obesity, and the ‘metabolic syndrome’ as predictors of coronary heart disease. Curr Opin Lipidol 2001;12:395-404.
Sánchez-Castillo CP, Velázquez-Monroy O, Berber A, Lara-Esqueda A, Tapia-Conyer R, James WPT. Anthropometric cutoff points for predicting chronic diseases in the Mexican National Health Survey 2000. Obesity Research 2003;11:442-445.
Yusuf S, Hawken S, Ounpuu S, Dans T, Avezum A, Lanas F, et al. Effect of potentially modifiable risk factors associated with myocardial infarction in 52 countries (the INTERHEART study): case-control study. Lancet 2004;364:937-952.
WHO. Global Strategy on Diet, Physical Activity and Health. Resolution WHA57.17, 2004. R17-en.pdf» Available in: http://www.who.int/gb/ebwha/pdf_files/WHA57/A57_ R17-en.pdf.