Anthropometric indices of obesity as screening tools for coronary high risk among women;Indicadores antropométricos de obesidade como dicriminadores de risco coronariano elevado em mulheres

Revista Brasileira de Cineantropometria e Desempenho Humano

Volumn 8, Issue 1, 2006, Pages 14-21

  Pitanga, Francisco José Gondim ^a   Lessa, Ines ^a,b  

^a FEDERAL UNIVERSITY OF BAHIA   (Brazil)

^b Instituto de Saúde Coletiva   (Brazil)

Author keywords

Coronary risk; Obesity anthropometric indicators; ROC curve

Indexed keywords

EID: 83655188668     PISSN: 14158426     EISSN: 19800037     Source Type: Journal    
DOI: None     Document Type: Article

References (16)

1. Foucan L, Hanley J, Deloumeaux J, Suissa S. Body mass index (BMI) and waist circumference (WC) as screening tools for cardiovascular risk factors in Guadeloupean women. J Clin Epidemiol 2002; 55(10): 990-6.
2. Ito H, Nakasuga K, Ohshima A, Maruyama T, Kaji H, Harada M, et al. Detection of cardiovascular risk factors by indices of obesity obtained from anthropometry and dual-energy x-ray absorptiometry in Japanese individuals. Int J Obes Relat Metab Disord 2003; 27(2): 232-7.
3. 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(9): 1232-8.
4. Sanchez-Castillo CP, Velásquez-Monroy O, Berber A, Lara-Esqueda A, Tapia-Conyer R, James PT. Anthropometric cuttof points for predicting chronic diseases in Mexican National Health Survey 2000. Obes Res 2003; 11(3): 442-51.
5. Pitanga FJG, Lessa I. Indicadores antropométricos de obesidade como instrumento de triagem para risco coronariano elevado em adultos na cidade de Salvador-Bahia. Arq Bras Cardiol 2005; 85(1): 26-31.
6. Pitanga, F.J.G. Análise da associação e poder discriminatório do índice de conicidade e outros indicadores de obesidade com risco coronariano em adultos na cidade de Salvador. [Tese de doutorado-Programa de Pós-Graduação em Saúde Coletiva]. Salvador (BA): Instituto de Saúde Coletiva, Universidade Federal da Bahia; 2004
7. Centro Nacional de Epidemiologia, Fundação Nacional de Saúde. Projeto Monit: Relatório de Pesquisa. Brasília: MS; Salvador: ISC/UFBA; 2000.
8. Wilson PWF, D'Agostino RB, Levy D, Belanger AM, Silbershatz H, Kannel WB. Prediction of coronary heart disease using risk factores categories. Circulation 1998; 97: 1837-47.
9. Valdez R. A simple model-based index of abdominal adiposity. J Clin Epidemiol 1991; 44(9): 955-6.
10. Erdreich LS, Lee ET. Use of relative operating characteristics analysis in epidemiology: a method for dealing with subjective judgement. Am J Epidemiol 1981; 114(5) 649-62.
11. Schisterman EF, Faraggi D, Reiser B, Trevisan M. Statistical inference for the area under the receiver operating characteristic curve in the presence of random measurement error. Am J Epidemiol 2001; 154(2): 174-9.
12. Grundy SM, Pasternak R, Greenland P, Smith S, Fuster V. Assessment of cardiovascular risk by use of multiple-risk-factor assessment equations. J Am Coll Cardiol 1999; 34: 1348-59.
13. Rebuffe-Scrive M, Eldh J, Hafstrom LO, Bjorntorp P. Metabolism of mamary, abdominal, and femural adipocytes in women before and after menopause. Metabolism 1986; 35(9): 792-7.
14. Bjorntorp P. Hormonal control of regional fat distribution. Hum Reprod 1997; 12 Suppl 1: 21-5.
15. Brochu M, Tchernof A, Dionne, IJ, Sites, CK, Eltabbakh GH, Sims EAH, et al. What are physical characteristics associated with a normal metobolic profile despite a high level of obesity in postmenopausal women? J Clin Endocrinol Metab 2001; 86(3): 1020-5.
16. Rebuffe-Scrive M, Lonnroth P, Marin P, Wesslau C, Bjorntorp P, Smith U. Regional adipose tissue metabolism in men and postmenopausal women. Int J Obes 1987; 1(4): 347-55.