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

Arquivos Brasileiros de Cardiologia

Volumn 93, Issue 5, 2009, Pages

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

^a FEDERAL UNIVERSITY OF VIÇOSA   (Brazil)

^b UNIVERSITY OF CAMPINAS   (Brazil)

^c FEDERAL UNIVERSITY OF MINAS GERAIS   (Brazil)

^d NONE

Author keywords

Abdominal circunference; Abdominal fat; Antropometry; Insulin resistance; Obesity

Indexed keywords

ABDOMEN; ADULT; ANTHROPOMETRY; ARTICLE; CLINICAL ASSESSMENT; CONTROLLED STUDY; CROSS-SECTIONAL STUDY; HOMEOSTASIS; HUMAN; ILIAC CREST; INSULIN RESISTANCE; MALE; PREDICTION; REPRODUCIBILITY; RIB; WAIST CIRCUMFERENCE;

EID: 76149124231     PISSN: 0066782X     EISSN: 16784170     Source Type: Journal    
DOI: 10.1590/S0066-782X2009005000001y     Document Type: Article

References (40)

1. Meigs JB, Rutter MK, Sullivan LM, Fox CS, D'Agostino RB Sr, Wilson PW. Impact of insulin resistance on risk of type 2 diabetes and cardiovascular disease in people with metabolic syndrome. Diabetes Care. 2007; 30 (5): 1219-25.
2. Geloneze B, Tambascia MA. Laboratorial evaluation and diagnosis of insulin resistance. Arq Bras Endocrinol Metab. 2006; 50: 208-15.
3. 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 Metab. 2008; 52: 32-9.
4. Rendell M, Hulthén UL, Törnquist C, Groop L, Mattiasson I. Relationship between abdominal fat compartments and glucose and lipid metabolism in early postmenopausal women. Clin Endocrinol Metab. 2001; 86: 744-9.
5. Mamtani MR, Kulkarni HR. Predictive performance of anthropometric indexes of central obesity for the risk of type 2 diabetes. Arch Med Res. 2005; 36: 581-9.
6. 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 (7): 460-8.
7. 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: 442-3.
8. Alberti KG, Zimmet P, Shaw J. The metabolic syndrome-a new worldwide definition. Lancet. 2005; 366: 1059-62.
9. 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). Expert pnel on detection, evaluation, and treatment of high blood cholesterol in adults. JAMA. 2001; 285: 2486-97.
10. Kahn HS, Austin H, Williamson DF, Arensberg D. Simple anthropometric indices associated with ischemic heart disease. J Clin Epidemiol. 1996; 49: 1017-24.
11. Kahn HS, Simoes EJ, Koponen M, Hanzlick R. The abdominal diameter index and sudden coronary death in men. Am J Cardiol. 1996; 78: 961-4.
12. Jelliffe DB. Evaluación del estado nutrición de la comunidad. Geneva: Organización Mundial de La Salud; 1968. p. 166.
13. World Health Organization. Obesity: preventing and managing the global epidemic. Report of a WHO Consultation. Geneva; 2000.
14. Chuang YC, Hsu KH, Hwang CJ, Hu PM, Lin TM, Chiou WK. Waist-to-thigh ratio can also be a better indicator associated with type 2 diabetes than traditional anthropometrical measurements in Taiwan population. Ann Epidemiol. 2006; 16: 321-31.
15. Lohman TG, Roche AF, Martorell R. Anthropometric standardization reference manual. Champaign: Human Kinetics Pub; 1988.
16. National Institutes of Health. The practical guide identification, evaluation, and treatment of overweight and obesity in adults. Bethesda; 2000. p. 94.
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: 169-74.
18. Turcato E, Bosello O, Di Francesco V, Harris TB, Zoico E, Bissoli L, et al. Waist circumference and abdominal sagittal diameter as surrogates of body fat distribution in the elderly: their relation with cardiovascular risk factors. Int J Obes Relat Metab Disord. 2000; 24: 1005-10.
19. Ohrvall M, Berglund L, Vessby B. Sagittal abdominal diameter compared with other anthropometric measurements in relation to cardiovascular risk. Int J Obes Relat Metab Disord. 2000; 24: 497-501.
20. 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 Metab. 2007; 51:980-6.
21. Friedewald 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: 499-502.
22. 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: 412-9.
23. Hanley JA, McNeil BJ. A method of comparing the areas under receiver operating characteristic curves derived from the same cases. Radiology. 1983; 148: 839-43.
24. Wang J, Thornton JC, Bari S, Williamson B, Gallagher D, Heymsfield SB, et al. Comparisons of waist circumferences measured at 4 sites. Am J Clin Nutr. 2003; 77: 379-84.
25. Willis LH, Slentz CA, Houmard JA, Johnson JL, Duscha BD, Aiken LB, et al. Minimal versus umbilical waist circumference measures as indicators of cardiovascular disease risk. Obesity. 2007; 15: 753-9.
26. Williamson DF, Kahn HS, Worthman CM, Burnette JC, Russell CM. Precision of recumbent anthropometry. Am J Human Biol. 1993; 5: 159-67.
27. Zamboni M, Turcato E, Armellini F, Kahn HS, Zivelonghi A, Santana H, et al. Sagittal abdominal diameter as a practical predictor of visceral fat. Int J Obes Relat Metab Disord. 1998; 22: 655-60.
28. 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. Int J Obes Relat Metab Disord. 2000; 24: 652-7.
29. Braga ACS. Curvas ROC: aspectos funcionais e aplicações. Engenharia de produção e sistemas. Braga: Universidade do Minho; 2000. p. 267.
30. Kahn HS. Alternative anthropometric measures of risk: possible improvements on the waist-hip ratio. In: Medeiros-Neto G, Halpern A, Bouchard C. (eds.). Progress in obesity research. 9th ed. London: John Libbey Eurotext Ltd; 2003: 639-43.
31. 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. Am J Clin Nutr. 1988; 48: 1351-61.
32. Sjostrom L, Kvist H. Regional body fat measurements with CT-scan and evaluation of anthropometric predictions. Acta Med Scand Suppl. 1988; 723: 169-77.
33. Kamel EG, McNeill G, Han TS, Smith FW, Avenell A, Davidson L, et al. Measurement of abdominal fat by magnetic resonance imaging, dual-energy X-ray absorptiometry and anthropometry in non-obese men and women. Int J Obes Relat Metab Disord. 1999; 23: 686-92.
34. Shen W, Punyanitya M, Wang Z, Gallagher D, St-Onge MP, Albu J, et al. Visceral adipose tissue: relations between single-slice areas and total volume. Am J Clin Nutr. 2004; 80: 271-8.
35. Shen W, Punyanitya M, Chen J, Gallagher D, Albu J, Pi-Sunyer X, et al. Visceral adipose tissue: relationships between single slice areas at different locations and obesity-related health risks. Int J Obes. 2006; 31: 763-9.
36. 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: Association for Weight Management and Obesity Prevention; NAASO, the Obesity Society; the American Society for Nutrition; and the American Diabetes Association. Diabetes Care. 2007; 30: 1647-52.
37. Shen W, Wang Z, Punyanita M, Lei J, Sinav A, Kral JG, et al. Adipose tissue quantification by imaging methods: a proposed classification. Obes Res. 2003; 11: 5-16.
38. Ybarra J, Sanchez-Hernandez J, Pou J, Fernandez S. Anthropometrical measures are easily obtainable sensitive and specific predictors of insulin resistance in healthy individuals. Prevent Control. 2005; 1: 175-81.
39. Bonora E, Targher G, Alberiche M, Bonadonna RC, Saggiani F, Zenere MB, et al. 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. Diabetes Care. 2000; 23: 57-63.
40. Lansang MC, Williams GH, Carroll JS. Correlation between the glucose clamp technique and the homeostasis model assessment in hypertension. Am J Hypertens. 2001; 14: 51-3.