Prediction of glucose and insulin resistance disorders by using anthropometric parameters of central adiposity: PRED-IR study;Predicción de la glucemia basal alterada y resistencia a la insulina mediante el uso de medidas antropométricas de adiposidad central: estudio PRED-IR

Medicina Clinica

Volumn 131, Issue 10, 2008, Pages 366-370

  Brotons, Carlos ^a   de la Figuera, Mariano ^b   Franch, Josep ^c   Aristegui, Ignacio ^d   Rodríguez Azeredo, Rosario ^d   García, Montse ^d   Gomis, Ramón ^e  

^a CAP Sardenya   (Spain)

^b CAP La Mina   (Spain)

^c CAP Raval Sud   (Spain)

^d Departamento Médico Sanofi Aventis SA Barcelona España   (Spain)

^e HOSPITAL CLÍNIC   (Spain)

Author keywords

Hyperglycaemia; Insulin resistance; Waist obesity

Indexed keywords

ADULT; AGED; ANTHROPOMETRY; ARTICLE; CONFIDENCE INTERVAL; CORRELATION ANALYSIS; DIAGNOSTIC PROCEDURE; FEMALE; HOMEOSTASIS; HUMAN; HYPERGLYCEMIA; INSULIN RESISTANCE; MAJOR CLINICAL STUDY; MALE; OBESITY; PREDICTION; PREDICTION AND FORECASTING; PRIMARY MEDICAL CARE; RISK ASSESSMENT; SENSITIVITY ANALYSIS; SENSITIVITY AND SPECIFICITY; WAIST CIRCUMFERENCE; ADIPOSE TISSUE; ADOLESCENT; CLINICAL TRIAL; CROSS-SECTIONAL STUDY; GLUCOSE BLOOD LEVEL; MIDDLE AGED; MULTICENTER STUDY; WAIST HIP RATIO;

ADIPOSE TISSUE; ADOLESCENT; ADULT; AGED; ANTHROPOMETRY; BLOOD GLUCOSE; CROSS-SECTIONAL STUDIES; FEMALE; HUMANS; INSULIN RESISTANCE; MALE; MIDDLE AGED; PREDICTIVE VALUE OF TESTS; WAIST-HIP RATIO; YOUNG ADULT;

EID: 59449089532     PISSN: 00257753     EISSN: 15788989     Source Type: Journal    
DOI: 10.1157/13126140     Document Type: Article

References (21)

1. Vague J. The degree of masculine differentiation of obesities: a factor determining predisposition to diabetes, atherosclerosis, gout, and uric calculus disease. Am J Clin Nutr 4 (1956) 20-34
2. Balkau B., Deanfield J.E., Després J.P., Bassand J.P., Fox K.A., Smith Jr. S.C., et al. International Day for the Evaluation of Abdominal Obesity (IDEA): a study of waist circumference, cardiovascular disease, and diabetes mellitus in 168,000 primary care patients in 63 countries. Circulation 116 (2007) 1942-1951
3. Chan J.M., Rimm E.B., Colditz G.A., Stampfer M.J., and Willett W.C. Obesity, fat distribution, and weight gain as risk factors for clinical diabetes in men. Diabetes Care 17 (1994) 961-969
4. Sharma A.M. The obese patient with diabetes mellitus: from research targets to treatment options. Am J Med 119 Suppl 1 (2006) 17-23
5. Wannamethee S.G., Shaper A.G., Morris R.W., and Whincup P.H. Measures of adiposity in the identification of metabolic abnormalities in elderly men. Am J Clin Nutr 81 (2005) 1313-1321
6. Santi M.J., Carrozas M.A., Barba A., Astola A., Jiménez A., and Mangas A. Circunferencia de la cintura como predictor de resistencia insulínica en varones jóvenes. Med Clin (Barc) 125 (2005) 46-50
7. Han T.S., Van Leer E.M., Seidell J.C., and Lean M.E. Waist circumference action levels in the identification of cardiovascular risk factors: prevalence study in a random sample. BMJ 311 (1995) 1401-1405
8. Wahrenberg H., Hertel K., Leijonhufyud B.M., Persson L.G., Toft E., and Arner P. Use of waist circumference to predict insulin resistance: retrospective study. BMJ 330 (2005) 1363-1364
9. Matthews D.R., Hosker J.P., Rudenski A.S., Naylor B.A., Treacher D.F., and Turner R.C. Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia 28 (1985) 412-419
10. Martínez-Larrad M.T., Fernández-Pérez C., González-Sánchez J.L., López A., Fernández-Álvarez J., Riviriego J., et al. Grupo de Atención Primaria de Segovia. Prevalencia del síndrome metabólico (criterios ATPIII). Estudio poblacional en areas rural y urbana de la provincia de Segovia. Med Clin (Barc) 125 (2005) 481-486
11. Álvarez E.E., Ribas L., and Serra L. Prevalencia del síndrome metabólico en la población de la Comunidad Canaria. Med Clin (Barc) 120 (2003) 172-174
12. Ascaso J.F., Romero P., Real J., Lorente R., Martínez-Valls J., and Carmena R. Abdominal obesity, insulin resistance, and metabolic sindrome in a Southern European population. Eur J Intern Med 14 (2003) 101-106
13. Sánchez-Chaparro M.A., Román-García J., Calvo-Bonacho E., Gómez-Larios T., Fernández-Meseguer A., Sainz-Gutiérrez J., et al. Grupo de Estudio del Plan de Prevención del Riesgo Cardiovascular de Ibermutuamur. Prevalencia del síndrome metabólico en la población laboral española. Clin Invest Arterioscl 17 Supl 1 (2005) 32-33
14. Alegría E., Cordero A., Laclaustra M., Grima A., León M., Casanovas J.A., et al. Prevalencia del síndrome metabólico en la población laboral española. Rev Esp Cardiol 58 (2005) 797-806
15. Millán J., Mantilla T., Aranceta J., Foz M., Gil B., Jover S., et al. Parámetros antropométricos asociados al riesgo cardiovascular en España. Estudio DORICA. Clin Invest Arterioscl 19 (2007) 61-69
16. International Diabetes Federation. The IDF consensus worldwide definition of the metabolic syndrome. Disponible en: www.idf.org
17. Bosy-Westphal A., Geisler C., Onur S., Korth O., Selberg O., Schrezenmeir J., et al. Value of body fat mass vs anthropometric obesity indices in the assessment of metabolic risk factors. Int J Obes (Lond) 30 (2006) 475-483
18. Martínez Candela J., Franch Nadal J., Romero Ortiz J., Cánovas Domínguez C., Gallardo Martín A., and López Yepes M.L. Capacidad predictiva de los criterios diagnósticos del síndrome metabólico sobre la resistencia a la insulina y el riesgo coronario. Med Clin (Barc) 129 (2007) 601-606
19. Vitale C., Mercuro G., Castiglioni C., Cornoldi A., Tulli A., Fini M., et al. Metabolic effect of telmisartan and losartan in hypertensive patients with metabolic syndrome. Cardiovascular Diabetol 4 (2005) 6
20. Love-Osborne K., Butler N., Gao D., and Zeitler P. Elevated fasting triglycerides predict impaired glucose tolerance in adolescents at risk for type 2 diabetes. Pediatr Diabetes 7 (2006) 205-210
21. DeFronzo R.A., and Ferrannini E. Insulin resistance. A multifaceted syndrome responsible for NIDDM, obesity, hypertension, dyslipidemia, and atherosclerotic cardiovascular disease. Diabetes Care 14 (1991) 173-194