Lipid ratios and appropriate cut off values for prediction of diabetes: A cohort of Iranian men and women

Lipids in Health and Disease

Volumn 9, Issue , 2010, Pages

  Hadaegh, Farzad ^a   Hatami, Masumeh ^a   Tohidi, Maryam ^a   Sarbakhsh, Parvin ^a   Saadat, Navid ^a   Azizi, Feridoun ^b  

^a SHAHID BEHESHTI UNIVERSITY OF MEDICAL SCIENCES   (Iran)

^b SHAHID BEHESHTI UNIVERSITY OF MEDICAL SCIENCES   (Iran)

Author keywords

[No Author keywords available]

Indexed keywords

ANTILIPEMIC AGENT; GLUCOSE; HIGH DENSITY LIPOPROTEIN CHOLESTEROL; TRIACYLGLYCEROL; CHOLESTEROL; LIPID;

ADULT; ARTICLE; BLOOD SAMPLING; COHORT ANALYSIS; DIABETES MELLITUS; DYSLIPIDEMIA; FAMILY HISTORY; FEMALE; FOLLOW UP; HUMAN; IMPAIRED GLUCOSE TOLERANCE; IRAN; LIPID BLOOD LEVEL; MAJOR CLINICAL STUDY; MALE; NON INSULIN DEPENDENT DIABETES MELLITUS; OBESITY; ORAL GLUCOSE TOLERANCE TEST; PREDICTION; RECEIVER OPERATING CHARACTERISTIC; RISK FACTOR; SEX DIFFERENCE; ALGORITHM; BLOOD; BODY MASS; EARLY DIAGNOSIS; INCIDENCE; MIDDLE AGED; REFERENCE VALUE; SENSITIVITY AND SPECIFICITY;

ADULT; ALGORITHMS; BODY MASS INDEX; CHOLESTEROL; CHOLESTEROL, HDL; COHORT STUDIES; DIABETES MELLITUS, TYPE 2; DYSLIPIDEMIAS; EARLY DIAGNOSIS; FEMALE; HUMANS; INCIDENCE; IRAN; LIPIDS; MALE; MIDDLE AGED; REFERENCE VALUES; RISK FACTORS; SENSITIVITY AND SPECIFICITY; SEX FACTORS; TRIGLYCERIDES;

EID: 77955529937     PISSN: None     EISSN: 1476511X     Source Type: Journal    
DOI: 10.1186/1476-511X-9-85     Document Type: Article

References (37)

1. Prevalence of diabetes mellitus and its complications in a population-based sample in Al Ain, United Arab Emirates. H Saadi SG Carruthers N Nagelkerke F Al-Maskari B Afandi R Reed M Lukic MG Nicholls E Kazam K Algawi J Al-Kaabi C Leduc S Sabri M El-Sadig S Elkhumaidi M Agarwal S Benedict, Diabetes Res Clin Pract 2007 78 369 377 10.1016/j.diabres.2007.04.008 17532085
2. High prevalence of undiagnosed diabetes and abnormal glucose tolerance in the Iranian urban population: Tehran Lipid and Glucose Study. F Hadaegh MR Bozorgmanesh A Ghasemi H Harati N Saadat F Azizi, BMC Public Health 2008 8 176 10.1186/1471-2458-8-176 18501007
3. Population-based incidence of Type 2 diabetes and its associated risk factors: results from a six-year cohort study in Iran. H Harati F Hadaegh N Saadat F Azizi, BMC Public Health 2009 9 186 10.1186/1471-2458-9-186 19531260
4. Global prevalence of diabetes: estimates for the year 2000 and projections for 2030. S Wild G Roglic A Green R Sicree H King, Diabetes Care 2004 27 1047 1053 10.2337/diacare.27.5.1047 15111519
5. Global and societal implications of the diabetes epidemic. P Zimmet KG Alberti J Shaw, Nature 2001 414 782 787 10.1038/414782a 11742409
6. An accelerated nutrition transition in Iran. H Ghassemi G Harrison K Mohammad, Public Health Nutr 2002 5 149 155 10.1079/PHN2001287 12027278
7. Serum lipid levels in an Iranian adults population: Tehran Lipid and Glucose Study. F Azizi M Rahmani A Ghanbarian H Emami P Salehi P Mirmiran N Sarbazi, Eur J Epidemiol 2003 18 311 319 10.1023/A:1023606524944 12803371
8. Standards of Medical Care in Diabetes. American Diabetes Association, Diabetes Care 2009 32 13 61 10.2337/dc09-S013 19118286
9. Prevention of non-communicable disease in a population in nutrition transition: Tehran Lipid and Glucose Study phase II. F Azizi A Ghanbarian Aa Momenan F Hadaegh P Mirmiran M Hedayati Y Mehrabi S Zahedi-Asl, Trials 2009 10 5 19166627
10. Tehran Lipid and Glucose Study: rationale and design. F Azizi M Rahmani H Emami M Madjid, CVD Prevention 2000 3 242 247
11. Follow-up report on the diagnosis of diabetes mellitus. S Genuth KG Alberti P Bennett J Buse R Defronzo R Kahn J Kitzmiller WC Knowler H Lebovitz A Lernmark D Nathan J Palmer R Rizza C Saudek J Shaw M Steffes M Stern J Tuomilehto P Zimmet, Diabetes Care 2003 26 3160 3167 10.2337/diacare.26.12.3331 14578255
12. Appropriate waist circumference cut-off points among Iranian adults: the first report of the Iranian National Committee of Obesity. F Azizi D Khalili H Aghajani A Esteghamati F Hosseinpanah A Delavari B Larijani P Mirmiran Y Mehrabi R Kelishadi F Hadaegh, Arch Iran Med 2010 13 243 244 20433230
13. The inconsistency of "optimal" cutpoints obtained using two criteria based on the receiver operating characteristic curve. NJ Perkins EF Schisterman, Am J Epidemiol 2006 163 670 675 10.1093/aje/kwj063 16410346
14. Prospective study of risk factors for development of non-insulin dependent diabetes in middle aged British men. IJ Perry SG Wannamethee MK Walker AG Thomson PH Whincup AG Shaper, BMJ 1995 310 560 564 7888929
15. Increased levels of triglycerides, BMI and blood pressure and low physical activity increase the risk of diabetes in Swedish women. A prospective 18-year follow-up of the BEDA study. A Dotevall S Johansson L Wilhelmsen A Rosengren, Diabet Med 2004 21 615 622 10.1111/j.1464-5491.2004.01189.x 15154949
16. Changes in triglyceride levels over time and risk of type 2 diabetes in young men. A Tirosh I Shai R Bitzur I Kochba D Tekes-Manova E Israeli T Shochat A Rudich, Diabetes Care 2008 31 2032 2037 10.2337/dc08-0825 18591400
17. Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. KG Alberti RH Eckel SM Grundy PZ Zimmet JI Cleeman KA Donato JC Fruchart WP James CM Loria SC Smith Jr, Circulation 2009 120 1640 1645 10.1161/CIRCULATIONAHA.109.192644 19805654
18. Cardiovascular risk factors in confirmed prediabetic individuals. Does the clock for coronary heart disease start ticking before the onset of clinical diabetes? SM Haffner MP Stern HP Hazuda BD Mitchell JK Patterson, JAMA 1990 263 2893 2898 10.1001/jama.263.21.2893 2338751
19. High-density lipoprotein modulates glucose metabolism in patients with type 2 diabetes mellitus. BG Drew SJ Duffy MF Formosa AK Natoli DC Henstridge SA Penfold WG Thomas N Mukhamedova B De Courten JM Forbes FY Yap DM Kaye G Van Hall MA Febbraio BE Kemp D Sviridov GR Steinberg BA Kingwell, Circulation 2009 119 2103 2111 10.1161/CIRCULATIONAHA.108.843219 19349317
20. Sex differences in risk factors for clinical diabetes mellitus in a general population: a 12-year follow-up of the Finnmark Study. I Njolstad E Arnesen PG Lund-Larsen, Am J Epidemiol 1998 147 49 58 9440398
21. Epidemiology of diabetes mellitus in the elderly. The Framingham Study. PW Wilson KM Anderson WB Kannel, Am J Med 1986 80 3 9 10.1016/0002-9343(86) 90532-2 3706388
22. Prevalence, incidence, predictors and outcome of type 2 diabetes in Turkey. A Onat G Hergenc H Uyarel G Can H Ozhan, Anadolu Kardiyol Derg 2006 6 314 321 17162275
23. Sex differences in risk factors for incident type 2 diabetes mellitus: the MONICA Augsburg cohort study. C Meisinger B Thorand A Schneider J Stieber A Doring H Lowel, Arch Intern Med 2002 162 82 89 10.1001/archinte.162.1.82 11784224
24. High-density lipoprotein at the interface of type 2 diabetes mellitus and cardiovascular disorders. S Van Linthout F Spillmann HP Schultheiss C Tschope, Curr Pharm Des 2010 16 1504 1516 10.2174/138161210791051031 20196738
25. Association of total cholesterol/high-density lipoprotein cholesterol ratio with proximal coronary atherosclerosis detected by multislice computed tomography. D Nair TP Carrigan RJ Curtin ZB Popovic S Kuzmiak P Schoenhagen SD Flamm MY Desai, Prev Cardiol 2009 12 19 26 10.1111/j.1751-7141.2008.00011.x 19301687
26. Associations between lipid measures and metabolic syndrome, insulin resistance and adiponectin. - Usefulness of lipid ratios in Korean men and women. H Kimm SW Lee HS Lee KW Shim CY Cho JE Yun SH Jee, Circ J 2010 74 931 937 10.1253/circj.CJ-09-0571 20215701
27. Individuals with high total cholesterol/HDL cholesterol ratios are insulin resistant. J Jeppesen FS Facchini GM Reaven, J Intern Med 1998 243 293 298 10.1046/j.1365-2796.1998.00301.x 9627143
28. Relationship between serum lipoprotein ratios and insulin resistance in obesity. A Brehm G Pfeiler G Pacini H Vierhapper M Roden, Clin Chem 2004 50 2316 2322 10.1373/clinchem.2004.037556 15459091
29. Use of metabolic markers to identify overweight individuals who are insulin resistant. T Mclaughlin F Abbasi K Cheal J Chu C Lamendola G Reaven, Ann Intern Med 2003 139 802 809 14623617
30. Is there a simple way to identify insulin-resistant individuals at increased risk of cardiovascular disease? T Mclaughlin G Reaven F Abbasi C Lamendola M Saad D Waters J Simon RM Krauss, Am J Cardiol 2005 96 399 404 10.1016/j.amjcard.2005.03.085 16054467
31. Triglyceride/HDL-cholesterol ratio is an independent predictor for coronary heart disease in a population of Iranian men. F Hadaegh D Khalili A Ghasemi M Tohidi F Sheikholeslami F Azizi, Nutr Metab Cardiovasc Dis 2009 19 401 408 10.1016/j.numecd.2008.09.003 19091534
32. A simple risk score effectively predicted type 2 diabetes in Iranian adult population: population-based cohort study. M Bozorgmanesh F Hadaegh S Ghaffari H Harati F Azizi, Eur J Public Health 2010 20534689
33. Clinical utility of different lipid measures for prediction of coronary heart disease in men and women. E Ingelsson EJ Schaefer JH Contois JR Mcnamara L Sullivan MJ Keyes MJ Pencina C Schoonmaker PW Wilson RB D'agostino RS Vasan, JAMA 2007 298 776 785 10.1001/jama.298.7.776 17699011
34. A Danish diabetes risk score for targeted screening: the Inter99 study. C Glumer B Carstensen A Sandbaek T Lauritzen T Jorgensen K Borch-Johnsen, Diabetes Care 2004 27 727 733 10.2337/diacare.27.3.727 14988293
35. Serum triglycerides as a risk factor for cardiovascular diseases in the Asia-Pacific region. A Patel F Barzi K Jamrozik TH Lam H Ueshima G Whitlock M Woodward, Circulation 2004 110 2678 2686 10.1161/01.CIR.0000145542.24347.18 15492305
36. Cholesterol, diabetes and major cardiovascular diseases in the Asia-Pacific region. Asia Pacific Cohort Studies Collaboration, Diabetologia 2007 50 2289 2297 10.1007/s00125-007-0801-2 17909878
37. Usefulness of the triglyceride-high-density lipoprotein versus the cholesterol-high-density lipoprotein ratio for predicting insulin resistance and cardiometabolic risk (from the Framingham Offspring Cohort). WB Kannel RS Vasan MJ Keyes LM Sullivan SJ Robins, Am J Cardiol 2008 101 497 501 10.1016/j.amjcard.2007.09.109 18312765