Artículos de revistas
Different Measurements Of The Sagittal Abdominal Diameter And Waist Perimeter In The Prediction Of Homa-ir [mediciones Distintas Del Diámetro Abdominal Sagital Y Del Perímetro De La Cintura En La Predicción Del Homa-ir Diferentes Aferições Do Diâmetro Abdominal Sagital E Do Perímetro Da Cintura Na Predição Do Homa-ir]
Registro en:
Arquivos Brasileiros De Cardiologia. , v. 93, n. 5, p. 473 - 479+501-508, 2009.
0066782X
10.1590/S0066-782X2009005000001y
2-s2.0-76149124231
Autor
Vasques A.C.J.
Rosado L.E.F.P.D.L.
Rosado G.P.
Ribeiro R.D.C.L.
Franceschini S.D.C.C.
Geloneze B.
Priore S.E.
De Oliveira D.R.
Institución
Resumen
Background: The correlation between the increase in visceral fat and insulin resistance makes the sagittal abdominal diameter and the waist perimeter as potential tools for the prediction of insulin resistance. Objectives: To assess the reproducibility of different measurements of the sagittal abdominal diameter and the waist perimeter and analyze the discriminating power of the measurements when predicting insulin resistance. Methods: A total of 190 adult males were studied. The sagittal abdominal diameter (smallest girth, larger abdominal diameter, umbilical level and midpoint between the iliac crests) and the waist perimeter (umbilical level, smallest girth, immediately above the iliac crest and midpoint between the iliac crest and the last rib) were measured at four different sites. Insulin resistance was assessed by the homeostasis model of assessment-insulin resistance (HOMA-IR) index. Results: All measurements presented an intraclass correlation of 0.986-0.999. The sagittal abdominal diameter measured at the smallest girth (r=0.482 and AUC=0.739±0.049) and the waist perimeter measured at the midpoint between the last rib and the iliac crest (r=0.464 and AUC=0.746±0.05) presented the highest correlations with the HOMA-IR and the best discriminating power for HOMA-IR according to the ROC analysis (p<0.001). Conclusions: The sagittal abdominal diameter and waist perimeter showed to be highly reproducible and the sagittal abdominal diameter (smallest girth) and waist perimeter (midpoint between the iliac crest and the last rib) presented the best performance when predicting HOMA-IR. Further studies in other groups of the Brazilian population must be carried out to allow the use of these indicators of insulin resistance in the population as a whole, following standardized procedures. 93 5 473 479+501-508 Meigs, J.B., Rutter, M.K., Sullivan, L.M., Fox, C.S., D'Agostino Sr, R.B., Wilson, P.W., Impact of insulin resistance on risk of type 2 diabetes and cardiovascular disease in people with metabolic syndrome (2007) Diabetes Care, 30 (5), pp. 1219-1225 Geloneze, B., Tambascia, M.A., Laboratorial evaluation and diagnosis of insulin resistance (2006) Arq Bras Endocrinol Metab, 50, pp. 208-215 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 Metab, 52, pp. 32-39 Rendell, M., Hulthén, U.L., Törnquist, C., Groop, L., Mattiasson, I., Relationship between abdominal fat compartments and glucose and lipid metabolism in early postmenopausal women (2001) Clin Endocrinol Metab, 86, pp. 744-749 Mamtani, M.R., Kulkarni, H.R., Predictive performance of anthropometric indexes of central obesity for the risk of type 2 diabetes (2005) Arch Med Res, 36, pp. 581-589 Pouliot, M.C., Després, 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. 460-468 Balkau, B., Charles, M.A., Comment on the provisional report from the WHO consultation. European Group for the Study of Insulin Resistance (EGIR) (1999) Diabet Med, 16, pp. 442-443 Alberti, K.G., Zimmet, P., Shaw, J., The metabolic syndrome-a new worldwide definition (2005) Lancet, 366, pp. 1059-1062 Expert Panel on Detection, Evaluation, And Treatment of High Blood Cholesterol In Adults (Adult Treatment Panel III). Expert pnel on detection, evaluation, and treatment of high blood cholesterol in adults (2001) JAMA, 285, pp. 2486-2497. , Executive Summary of The Third Report of The National Cholesterol Education Program NCEP Kahn, H.S., Austin, H., Williamson, D.F., Arensberg, D., Simple anthropometric indices associated with ischemic heart disease (1996) J Clin Epidemiol, 49, pp. 1017-1024 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, pp. 961-964 Jelliffe, D.B., (1968) Evaluación del estado nutrición de la comunidad, p. 166. , Geneva: Organización Mundial de La Salud; Obesity: Preventing and managing the global epidemic (2000) Report of a WHO Consultation, , World Health Organization, Geneva; Chuang, Y.C., Hsu, K.H., Hwang, C.J., Hu, P.M., Lin, T.M., Chiou, W.K., Waist-to-thigh ratio can also be a better indicator associated with type 2 diabetes than traditional anthropometrical measurements in Taiwan population (2006) Ann Epidemiol, 16, pp. 321-331 Lohman, T.G., Roche, A.F., Martorell, R., (1988) Anthropometric standardization reference manual, , Champaign: Human Kinetics Pub; (2000) The practical guide identification, evaluation, and treatment of overweight and obesity in adults, p. 94. , National Institutes of Health, Bethesda; 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, pp. 169-174 Turcato, E., Bosello, O., Di Francesco, V., Harris, T.B., Zoico, E., Bissoli, L., Waist circumference and abdominal sagittal diameter as surrogates of body fat distribution in the elderly: Their relation with cardiovascular risk factors (2000) Int J Obes Relat Metab Disord, 24, pp. 1005-1010 Ohrvall, M., Berglund, L., Vessby, B., Sagittal abdominal diameter compared with other anthropometric measurements in relation to cardiovascular risk (2000) Int J Obes Relat Metab Disord, 24, pp. 497-501 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 Metab, 51, pp. 980-986 Friedewald, 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, 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, pp. 412-419 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, pp. 839-843 Wang, J., Thornton, J.C., Bari, S., Williamson, B., Gallagher, D., Heymsfield, S.B., Comparisons of waist circumferences measured at 4 sites (2003) Am J Clin Nutr, 77, pp. 379-384 Willis, L.H., Slentz, C.A., Houmard, J.A., Johnson, J.L., Duscha, B.D., Aiken, L.B., Minimal versus umbilical waist circumference measures as indicators of cardiovascular disease risk (2007) Obesity, 15, pp. 753-759 Williamson, D.F., Kahn, H.S., Worthman, C.M., Burnette, J.C., Russell, C.M., Precision of recumbent anthropometry (1993) Am J Human Biol, 5, pp. 159-167 Zamboni, M., Turcato, E., Armellini, F., Kahn, H.S., Zivelonghi, A., Santana, H., Sagittal abdominal diameter as a practical predictor of visceral fat (1998) Int J Obes Relat Metab Disord, 22, pp. 655-660 Nordhamn, K., Sodergren, E., Olsson, E., Karlstrom, B., Vessby, B., Berglund, L., Reliability of anthropometric measurements in overweight and lean subjects: Consequences for correlations between anthropometric and other variables (2000) Int J Obes Relat Metab Disord, 24, pp. 652-657 (2000) Curvas ROC: Aspectos funcionais e aplicações. Engenharia de produção e sistemas, p. 267. , Braga ACS, Braga: Universidade do Minho; Kahn, H.S., Alternative anthropometric measures of risk: Possible improvements on the waist-hip ratio (2003) Progress in obesity research, pp. 639-643. , Medeiros-Neto G, Halpern A, Bouchard C, eds, 9th ed. London: John Libbey Eurotext Ltd; Kvist, H., Chowdhury, B., Grangard, U., Tylen, U., Sjostrom, L., Total and visceral adipose-tissue volumes derived from measurements with computed tomography in adult men and women: Predictive equations (1988) Am J Clin Nutr, 48, pp. 1351-1361 Sjostrom, L., Kvist, H., Regional body fat measurements with CT-scan and evaluation of anthropometric predictions (1988) Acta Med Scand Suppl, 723, pp. 169-177 Kamel, E.G., McNeill, G., Han, T.S., Smith, F.W., Avenell, A., Davidson, L., Measurement of abdominal fat by magnetic resonance imaging, dual-energy X-ray absorptiometry and anthropometry in non-obese men and women (1999) Int J Obes Relat Metab Disord, 23, pp. 686-692 Shen, W., Punyanitya, M., Wang, Z., Gallagher, D., St-Onge, M.P., Albu, J., Visceral adipose tissue: Relations between single-slice areas and total volume (2004) Am J Clin Nutr, 80, pp. 271-278 Shen, W., Punyanitya, M., Chen, J., Gallagher, D., Albu, J., Pi-Sunyer, X., Visceral adipose tissue: Relationships between single slice areas at different locations and obesity-related health risks (2006) Int J Obes, 31, pp. 763-769 Klein, S., Allison, D.B., Heymsfield, S.B., Kelley, D.E., Leibel, R.L., Nonas, C., Waist circumference and cardiometabolic risk: A consensus statement from shaping America's health: Association for Weight Management and Obesity Prevention NAASO, the Obesity Society the American Society for Nutrition and the American Diabetes Association (2007) Diabetes Care, 30, pp. 1647-1652 Shen, W., Wang, Z., Punyanita, M., Lei, J., Sinav, A., Kral, J.G., Adipose tissue quantification by imaging methods: A proposed classification (2003) Obes Res, 11, pp. 5-16 Ybarra, J., Sanchez-Hernandez, J., Pou, J., Fernandez, S., Anthropometrical measures are easily obtainable sensitive and specific predictors of insulin resistance in healthy individuals (2005) Prevent Control, 1, pp. 175-181 Bonora, E., Targher, G., Alberiche, M., Bonadonna, R.C., Saggiani, F., Zenere, M.B., Homeostasis model assessment closely mirrors the glucose clamp technique in the assessment of insulin sensitivity: Studies in subjects with various degrees of glucose tolerance and insulin sensitivity (2000) Diabetes Care, 23, pp. 57-63 Lansang, M.C., Williams, G.H., Carroll, J.S., Correlation between the glucose clamp technique and the homeostasis model assessment in hypertension (2001) Am J Hypertens, 14, pp. 51-53