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

Arquivos Brasileiros de Endocrinologia e Metabologia

Volumn 53, Issue 1, 2009, Pages 72-79

  Vasques, Ana Carolina Junqueira ^a   de Lima Rosado, Lina Enriqueta Frandsen Paez ^a   Rosado, Gilberto Paixão ^a   Ribeiro, Rita de Cassia Lanes ^a   Franceschini, Sylvia do Carmo Castro ^a   Geloneze, Bruno ^b   Priore, Silvia Eloiza ^a   de Oliveira, Dirce Ribeiro ^c  

^a FEDERAL UNIVERSITY OF VIÇOSA   (Brazil)

^b UNIVERSITY OF CAMPINAS   (Brazil)

^c FEDERAL UNIVERSITY OF MINAS GERAIS   (Brazil)

Author keywords

HOMA; Insulin resistance; Obesity; Sagittal abdominal diameter; Waist perimeter

Indexed keywords

EID: 66149085266     PISSN: 00042730     EISSN: 16779487     Source Type: Journal    
DOI: 10.1590/s0004-27302009000100011     Document Type: Article

References (35)

1. Despres JP, Lemieux I. Abdominal obesity and metabolic syndrome. Nature. 2006;444(7121):881-7.
2. Reaven G. All obese individuals are not created equal: insulin resistance is the major determinant of cardiovascular disease in overweight/obese individuals. Diab Vasc Dis Res. 2005;2(3):105-12.
3. Geloneze B, Tambascia MA. Avaliação laboratorial e diagnóstico de resistência insulínica. Arq Bras Endocrinol Metabol. 2006;50(2):208-15.
4. Vasques ACJ, Rosado LEFPL, Alfenas RCG, 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. Arq Bras Endocrinol Metabol. 2008;52(1):32-9.
5. 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. Diabetes Care. 2004;27(8):2041-6.
6. Ybarra J, Sanchez-Hernandez J, Pou J, Fernández S, Gich I, Ordóñez-Llanos J, et al. Anthropometrical measures are easily obtainable sensitive and specific predictors of insulin resistance in healthy individuals. Prevention Control. 2005;1(2):175-81.
7. Valdez R, Seidell JC, Ahn YI, Weiss KM. A new index of abdominal adiposity as an indicator of risk for cardiovascular disease. A crosspopulation study. Int J Obes Relat Metab Disord. 1993;17(2):77-82.
8. Ho SY, Lam TH, Janus ED. Waist to stature ratio is more strongly associated with cardiovascular risk factors than other simple anthropometric indices. Ann Epidemiol. 2003;13(10):683-91.
9. Chang SA, Kim HS, Yoon KH, Ko SH, Kwon HS, Kim SR, et al. Body mass index is the most important determining factor for the degree of insulin resistance in non-obese type 2 diabetic patients in Korea. Metab Clin Exp. 2004;53(2):142-6.
10. 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 (Silver Spring). 2006;14(4):727-36.
11. Pitanga FJ, Lessa I. Anthropometric indexes of obesity as an instrument of screening for high coronary risk in adults in the city of Salvador-Bahia. Arq Bras Cardiol. 2005;85(1):26-31.
12. Chuang YC, Hsu KH, Hwang CJ, Hu PM, Lin TM, Chiou WK. Waist-tothigh ratio can also be a better indicator associated with type 2 diabetes than traditional anthropometrical measurements in Taiwan population. Ann Epidemiol. 2006;16(5):321-31.
13. Kahn HS, Austin H, Williamson DF, Arensberg D. Simple anthropometric indices associated with ischemic heart disease. J Clin Epidemiol. 1996;49(9):1017-24.
14. Sociedade Brasileira de Cardiologia. IV Diretriz Brasileira sobre Dislipidemias e Prevenção da Aterosclerose. Departamento de Aterosclerose da Sociedade Brasileira de Cardiologia. Arq Bras Cardiol. 2007;88:19.
15. Jelliffe DB. Evaluación del estado nutrición de la comunidad. Ginebra: Organización Mundial de La Salud; 1968.
16. World Health Organization. Obesity: preventing and managing the global epidemic. Report of a WHO Consultation. Geneva: World Health Organization; 2000.
17. Richelsen B, Pedersen SB. Associations between different anthropometric measurements of fatness and metabolic risk parameters in non-obese, healthy, middle-aged men. Int J Obes Relat Metab Disord. 1995;19(3):169-74.
18. Kahn HS, Simoes EJ, Koponen M, Hanzlick R. The abdominal diameter index and sudden coronary death in men. Am J Cardiol. 1996;78(8):961-4.
19. Sampaio LR, Simoes EJ, Assis AM, Ramos LR. Validity and reliability of the sagittal abdominal diameter as a predictor of visceral abdominal fat. Arq Bras Endocrinol Metabol. 2007;51(6):980-6.
20. Lukaski HC, Bolonchuk WW, Hall CB, Siders WA. Validation of tetrapolar bioelectrical impedance method to assess human body composition. J Appl Physiol. 1986;60(4):1327-32.
21. Deurenberg P, Weststrate JA, Hautvast JG, van der Kooy K. Is the bioelectrical-impedance method valid? Am J Clin Nutr. 1991;53(1):179-81.
22. Lohman TG, Roche AF, Martorell R. Anthropometric standardization reference manual. Champaign: Human Kinetics Pub.; 1988.
23. Friedwald WT, Levy RI, Fredrickson DS. Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clin Chem. 1972;18(6):499-502.
24. Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC. Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia. 1985;28(7):412-9.
25. Hanley JA, McNeil BJ. A method of comparing the areas under receiver operating characteristic curves derived from the same cases. Radiology. 1983;148(3):839-43.
26. Barbosa PJB, Lessa Í, Almeida Filho N, Magalhães LBNC, Araújo J. Critério de obesidade central em população brasileira: impacto sobre a síndrome metabólica. Arq Bras Cardiol. 2006;87(4):407-14.
27. Weidner MD, Gavigan KE, Tyndall GL, Hickey MS, McCammon MR, Houmard JA. Which anthropometric indices of regional adiposity are related to the insulin resistance of aging? Int J Obes Relat Metab Disord. 1995;19(5):325-30.
28. Pouliot MC, Despres 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(7):460-8.
29. Sjostrom L. A computer-tomography based multicompartment body composition technique and anthropometric predictions of lean body mass, total and subcutaneous adipose tissue. Int J Obes Relat Metab Disord. 1991;15 Suppl 2:19-30.
30. Salmenniemi U, Ruotsalainen E, Vanttinen M, Vauhkonen I, Pihiajamäki J, Kainulainen S, et al. High amount of visceral fat mass is associated with multiple metabolic changes in offspring of type 2 diabetic patients. Int J Obes Relat Metab Disord. 2005;29(12):1464-70.
31. a ed. London: John Libbey Eurotext Ltd.; 2003. p. 639-43.
32. Han TS, van Leer EM, Seidell JC, Lean ME. Waist circumference action levels in the identification of cardiovascular risk factors: prevalence study in a random sample. BMJ. 1995;311(7017):1401-5.
33. NCEP. 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(19):2486-97.
34. Velásquez-Meléndez G, Gazzinelli A, Côrrea-Oliveira R, Pimenta AM, Kac G. Prevalence of metabolic syndrome in a rural area of Brazil. Sao Paulo Medical J. 2007;125(3):155-62.
35. Alberti KG, Zimmet P, Shaw J. Metabolic syndrome - a new world-wide definition. A Consensus Statement from the International Diabetes Federation. Diabet Med. 2006;23(5):469-80.