2012, Number 1
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salud publica mex 2012; 54 (1)
Optimal cutoff points for the detection of undiagnosed type 2 diabetes, hypertension and metabolic syndrome in Mexican adults
Rojas-Martínez R, Aguilar-Salinas CA, Jiménez-Corona A
Language: English
References: 23
Page: 13-19
PDF size: 109.27 Kb.
ABSTRACT
Objective. To compare the waist circumference cutoff points established by the American Heart Association and the National Heart, Lung and Blood Institute (AHA/NHLBI) with those of the International Diabetes Federation (IDF) for the screening of diabetes, hypertension, and metabolic syndrome in Mexican adults.
Material and Methods. This study comprised a subsample of the ENSANUT 2006. Subjects without diabetes and hypertension and non-pregnant women were included. Sensitivity, specificity, and predictive values were compared using AUC and the positive likelihood ratio test [LR(+)].
Results. In subjects aged ≥40 years, sensitivity for detection of diabetes and hypertension was higher for the IDF thresholds (85.34 and 86.87%, respectively) compared with those of the AHA/NHLBI (59.49 and 52.41%, respectively). LR(+) were higher for IDF thresholds compared with AHA/NHLBI. Similar results in subjects aged ≥65 years were observed.
Conclusions. The measurement of abdominal obesity defined by the IDF was a better screening tool for diabetes and hypertension, considering that initially a high sensitivity and low cost tool at population level is required.
REFERENCES
Carey VJ, Walters EE, Colditz GA, Solomon CG, Willett WC, Rosner BA, et al. Body fat distribution and risk of non-insulin-dependent diabetes mellitus in women. The Nurses’ Health Study. Am J Epidemiol 1997;145:614-619.
Wild SH, Byrne CD. ABC of obesity. Risk factors for diabetes and coronary heart disease. BMJ 2006;333:1009-1011.
Kannel WB, D’Agostino RB, Cobb JL. Effect of weight on cardiovascular disease. Am J Clin Nutr 1996;63(3 Suppl):S419-S422.
Hu D, Xie J, Fu P, Zhou J, Yu D, Whelton PK, et al. Central rather than overall obesity is related to diabetes in the Chinese population: the InterASIA study. Obesity (Silver Spring) 2007;15:2809-2816.
Janiszewski PM, Janssen I, Ross R. Does waist circumference predict diabetes and cardiovascular disease beyond commonly evaluated cardiometabolic risk factors? Diabetes Care 2007;30:3105-3109.
Lin WY, Lee LT, Chen CY, Lo H, Hsia HH, Liu IL, et al. Optimal cut-off values for obesity: using simple anthropometric indices to predict cardiovascular risk factors in Taiwan. Int J Obes Relat Metab Disord 2002;26:1232-1238.
Schneider HJ, Glaesmer H, Klotsche J, Böhler S, Lehnert H, Zeiher AM, DETECT Study Group. Accuracy of anthropometric indicators of obesity to predict cardiovascular risk. J Clin Endocrinol Metab 2007;92:589-594.
Klein S, Allison DB, Heymsfield SB, Kelley DE, Leibel RL, Nonas C, et al. Waist circumference and cardiometabolic risk: a consensus statement from shaping America’s health. Diabetes Care 2007;30:1647-1652.
Rankinen T, Zuberi A, Chagnon YC, Weisnagel SJ, Argyropoulos G, Walts B, et al. The human obesity gene map: the 2005 update. Obesity (Silver Spring) 2006;14:529-644.
Hill JO, Peters JC. Environmental contributions to the obesity epidemic. Science 1998;280:1371-1374.
Vázquez-Martinez JL, Gómez-Dantés H, Gómez-García F, Lara- Rodríguez MA, Navarrete-Espinosa J, Pérez-Pérez G. Obesity and overweight in IMSS female workers in Mexico City. Salud Publica Mex 2005;47:268-275.
Sánchez-Castillo CP, Lara JJ, Villa AR, Escobar M, Gutiérrez H, Chávez A, James WPT. Unusually high prevalence rates of obesity in four Mexican rural communities. Eur J Clin Nutr 2001;55:833-840.
Williams K, Stern MP, Gonzalez-Villalpando C. Secular trends in obesity in Mexico City and in San Antonio. Nutr Rev 2004;62(7 Pt 2):S158-S162.
Flores-Huerta S, Acosta-Cázares B, Gutiérerz-Trujillo G. Prevalencia de peso bajo, sobrepeso, obesidad general y obesidad central. Rev Med Inst Mex Segur Soc 2006;44(Supl 1):S55-S62.
Arroyo P, Fernández V, Loria A, Pardio J, Laviada H, Vargas-Ancona L, et al. Obesidad, morfología corporal y presión arterial en grupos urbanos y rurales de Yucatán. Salud Publica Mex 2007;49:274-285.
SSA. Encuesta Nacional de Enfermedades Crónicas. México, DF. Secretaría de Salud. 1993.
Olaiz G, Rojas R, Barquera S, Shamah T, Aguilar C, Cravioto P, et al. Encuesta Nacional de Salud 2000. La Salud de los Adultos. México: Instituto Nacional de Salud Pública, 2006.
Olaiz G, Rivera J, Shamah T, Rojas R, Villalpando S, Hernández M, et al. (ed). Encuesta Nacional de Salud y Nutrición 2006. México: Instituto Nacional de Salud Pública, 2006.
Grundy SM, Cleeman JI, Daniels SR, Donato KA, Eckel RH, Franklin BA, et al. Diagnosis and management of the Metabolic Syndrome. An American Heart Association/National Heart, Lung, and Blood Institute. Scientific Statement. Circulation 2005;112:2735-2752.
Alberti KG, Zimmet P, Shaw J, IDF Epidemiology Task Force Consensus Group. The metabolic syndrome: a new worldwide definition. Lancet 2005;366:1059-1062.
Rojas R, Aguilar-Salinas CA, Jiménez-Corona A, Shama-Levy T, Rauda J, Ávila-Burgos L, et al. Metabolic syndrome in Mexican adults. Results from the National Health and Nutrition Survey 2006. Salud Publica Mex 2010;52(suppl 1):S11-S18.
DeLong ER, DeLong DM, Clarke-Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics 1988;44:837-845.
Berrington-de Gonzalez A, Hartge P, Cerhan JR, Flint AJ, Hannan L, MacInnis RJ, et al. Body-mass index and mortality among 1.46 million white adults. N Engl J Med 2010;363:2211-2219.