Artículos de revistas
Predictive Ability Of Anthropometric And Body Composition Indicators In The Identification Of Insulin Resistance [habilidade De Indicadores Antropométricos E De Composição Corporal Em Identificar A Resistência à Insulina]
Registro en:
Arquivos Brasileiros De Endocrinologia E Metabologia. , v. 53, n. 1, p. 72 - 79, 2009.
42730
2-s2.0-66149085266
Autor
Vasques A.C.J.
de Lima Rosado L.E.F.P.
Rosado G.P.
Ribeiro R.C.L.
Franceschini S.C.C.
Geloneze B.
Priore S.E.
de Oliveira D.R.
Institución
Resumen
Objective: To assess the ability of anthropometric and body composition indicators in identifying insulin resistance (IR), determining cut-off points for those showing the best efficacy. Method: 138 men were evaluated. Waist perimeter (WP), sagittal abdominal diameter (SAD), conicity index, body mass index (BMI), body fat percent, sagittal index, and the waist-to-height, waist-to-hip and waist-to-thigh ratios were determined. IR was assessed by the HOMA-IR index. Statistical analysis consisted of Spearman correlation coefficient and ROC (receiver operating characteristic) curves, calculating the area under the curve (AUC). Results: SAD (r=0.482, AUC=0.746) and WP (r=0.464, AUC=0.739) showed stronger correlations with the HOMA-IR and greater ability to identify IR (p<0.001), being 89.3 cm and 20.0 cm the best cut-offs, respectively. Conclusion: The anthropometric indicators of central obesity, WP and SAD, have shown greater ability to identify IR in men. We encourage studies in women and elderly people in search of the best cut-off points for the entire population. © ABE&M todos os direitos reservados. 53 1 72 79 Despres, J.P., Lemieux, I., Abdominal obesity and metabolic syndrome (2006) Nature, 444 (7121), pp. 881-7 Reaven, G., All obese individuals are not created equal: Insulin resistance is the major determinant of cardiovascular disease in overweight/obese individuals (2005) Diab Vasc Dis Res, 2 (3), pp. 105-12 Geloneze, B., Tambascia, M.A., Avaliação laboratorial e diagnóstico de resistência insulínica (2006) Arq Bras Endocrinol Metabol, 50 (2), pp. 208-15 Vasques, A.C.J., Rosado, L.E.F.P.L., Alfenas, R.C.G., Geloneze, B., Análise crítica do uso dos índices do homeostasis model assessment (HOMA) na avaliação da resistência à insulina e capacidade funcional das células-b pancreáticas (2008) Arq Bras Endocrinol Metabol, 52 (1), pp. 32-9 Riserus, U., Arnlov, J., Brismar, K., Zethelius, B., Berglund, L., Vessby, B., Sagittal abdominal diameter is a strong anthropometric marker of insulin resistance and hyperproinsulinemia in obese men (2004) Diabetes Care, 27 (8), pp. 2041-6 Ybarra, J., Sanchez-Hernandez, J., Pou, J., Fernández, S., Gich, I., Ordóñez-Llanos, J., Anthropometrical measures are easily obtainable sensitive and specific predictors of insulin resistance in healthy individuals (2005) Prevention Control, 1 (2), pp. 175-81 Valdez, R., Seidell, J.C., Ahn, Y.I., Weiss, K.M., A new index of abdominal adiposity as an indicator of risk for cardiovascular disease. A crosspopulation study (1993) Int J Obes Relat Metab Disord, 17 (2), pp. 77-82 Ho, S.Y., Lam, T.H., Janus, E.D., Waist to stature ratio is more strongly associated with cardiovascular risk factors than other simple anthropometric indices (2003) Ann Epidemiol, 13 (10), pp. 683-91 Chang, S.A., Kim, H.S., Yoon, K.H., Ko, S.H., Kwon, H.S., Kim, S.R., Body mass index is the most important determining factor for the degree of insulin resistance in non-obese type 2 diabetic patients in Korea (2004) Metab Clin Exp, 53 (2), pp. 142-6 Shen, W., Punyanitya, M., Chen, J., Gallagher, D., Albu, J., Pi-Sunyer, X., Waist circumference correlates with metabolic syndrome indicators better than percentage fat (2006) Obesity, 14 (4), pp. 727-36. , (Silver Spring) Pitanga, F.J., Lessa, I., Anthropometric indexes of obesity as an instrument of screening for high coronary risk in adults in the city of Salvador-Bahia (2005) Arq Bras Cardiol, 85 (1), pp. 26-31 Chuang, Y.C., Hsu, K.H., Hwang, C.J., Hu, P.M., Lin, T.M., Chiou, W.K., Waist-tothigh ratio can also be a better indicator associated with type 2 diabetes than traditional anthropometrical measurements in Taiwan population (2006) Ann Epidemiol, 16 (5), pp. 321-31 Kahn, H.S., Austin, H., Williamson, D.F., Arensberg, D., Simple anthropometric indices associated with ischemic heart disease (1996) J Clin Epidemiol, 49 (9), pp. 1017-24 IV Diretriz Brasileira sobre Dislipidemias e Prevenção da Aterosclerose. Departamento de Aterosclerose da Sociedade Brasileira de Cardiologia (2007) Arq Bras Cardiol, 88, p. 19. , Sociedade Brasileira de Cardiologia Jelliffe, D.B., (1968) Evaluación del estado nutrición de la comunidad, , Ginebra: Organización Mundial de La Salud Obesity: Preventing and managing the global epidemic (2000) Report of a WHO Consultation, , World Health Organization, Geneva: World Health Organization Richelsen, B., Pedersen, S.B., Associations between different anthropometric measurements of fatness and metabolic risk parameters in non-obese, healthy, middle-aged men (1995) Int J Obes Relat Metab Disord, 19 (3), pp. 169-74 Kahn, H.S., Simoes, E.J., Koponen, M., Hanzlick, R., The abdominal diameter index and sudden coronary death in men (1996) Am J Cardiol, 78 (8), pp. 961-4 Sampaio, L.R., Simoes, E.J., Assis, A.M., Ramos, L.R., Validity and reliability of the sagittal abdominal diameter as a predictor of visceral abdominal fat (2007) Arq Bras Endocrinol Metabol, 51 (6), pp. 980-6 Lukaski, H.C., Bolonchuk, W.W., Hall, C.B., Siders, W.A., Validation of tetrapolar bioelectrical impedance method to assess human body composition (1986) J Appl Physiol, 60 (4), pp. 1327-32 Deurenberg, P., Weststrate, J.A., Hautvast, J.G., van der Kooy, K., Is the bioelectrical-impedance method valid? (1991) Am J Clin Nutr, 53 (1), pp. 179-81 Lohman, T.G., Roche, A.F., Martorell, R., (1988) Anthropometric Standardization Reference Manual, , Champaign: Human Kinetics Pub Friedwald, W.T., Levy, R.I., Fredrickson, D.S., Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge (1972) Clin Chem, 18 (6), pp. 499-502 Matthews, D.R., Hosker, J.P., Rudenski, A.S., Naylor, B.A., Treacher, D.F., Turner, R.C., Homeostasis model assessment: Insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man (1985) Diabetologia, 28 (7), pp. 412-9 Hanley, J.A., McNeil, B.J., A method of comparing the areas under receiver operating characteristic curves derived from the same cases (1983) Radiology, 148 (3), pp. 839-43 Barbosa, P.J.B., Lessa, Í., Almeida Filho, N., Magalhães, L.B.N.C., Araújo, J., Critério de obesidade central em população brasileira: Impacto sobre a síndrome metabólica (2006) Arq Bras Cardiol, 87 (4), pp. 407-14 Weidner, M.D., Gavigan, K.E., Tyndall, G.L., Hickey, M.S., McCammon, M.R., Houmard, J.A., Which anthropometric indices of regional adiposity are related to the insulin resistance of aging? (1995) Int J Obes Relat Metab Disord, 19 (5), pp. 325-30 Pouliot, M.C., Despres, J.P., Lemieux, S., Moorjani, S., Bouchard, C., Tremblay, A., Waist circumference and abdominal sagittal diameter: Best simple anthropometric indexes of abdominal visceral adipose tissue accumulation and related cardiovascular risk in men and women (1994) Am J Cardiol, 73 (7), pp. 460-8 Sjostrom, L., A computer-tomography based multicompartment body composition technique and anthropometric predictions of lean body mass, total and subcutaneous adipose tissue (1991) Int J Obes Relat Metab Disord, 15 (SUPPL. 2), pp. 19-30 Salmenniemi, U., Ruotsalainen, E., Vanttinen, M., Vauhkonen, I., Pihiajamäki, J., Kainulainen, S., High amount of visceral fat mass is associated with multiple metabolic changes in offspring of type 2 diabetic patients (2005) Int J Obes Relat Metab Disord, 29 (12), pp. 1464-70 Kahn, H.S., Alternative anthropometric measures of risk: Possible improvements on the waist-hip ratio (2003) Progress in Obesity Research, pp. 639-43. , In: Medeiros-Neto G, Halpern A, Bou-chard C, editores, 9a ed. London: John Libbey Eurotext Ltd Han, T.S., van Leer, E.M., Seidell, J.C., Lean, M.E., Waist circumference action levels in the identification of cardiovascular risk factors: Prevalence study in a random sample (1995) BMJ, 311 (7017), pp. 1401-5 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) (2001) JAMA, 285 (19), pp. 2486-97. , NCEP Velásquez-Meléndez, G., Gazzinelli, A., Côrrea-Oliveira, R., Pimenta, A.M., Kac, G., Prevalence of metabolic syndrome in a rural area of Brazil (2007) Sao Paulo Medical J, 125 (3), pp. 155-62 Alberti, K.G., Zimmet, P., Shaw, J., Metabolic syndrome - a new world-wide definition. A Consensus Statement from the International Diabetes Federation (2006) Diabet Med, 23 (5), pp. 469-80