221 related articles for article (PubMed ID: 12442052)
21. Genetics, obesity, and environmental risk factors associated with type 2 diabetes.
Bener A; Zirie M; Al-Rikabi A
Croat Med J; 2005 Apr; 46(2):302-7. PubMed ID: 15849854
[TBL] [Abstract][Full Text] [Related]
22. Obesity is major determinant of coronary risk factors in India: Jaipur Heart Watch studies.
Gupta R; Gupta VP; Bhagat N; Rastogi P; Sarna M; Prakash H; Deedwania PC
Indian Heart J; 2008; 60(1):26-33. PubMed ID: 19212018
[TBL] [Abstract][Full Text] [Related]
23. [Prevalences of diabetes, glucose intolerance, hyperlipemia and risk factors as a function of socioeconomic level].
Quibrera Infante R; Hernández Rodríguez HG; Aradillas García C; González Rodríguez S; Calles-Escandón J
Rev Invest Clin; 1994; 46(1):25-36. PubMed ID: 8079061
[TBL] [Abstract][Full Text] [Related]
24. Application of three-dimensional body scanner: observation of prevalence of metabolic syndrome.
Lin JD; Chiou WK; Weng HF; Fang JT; Liu TH
Clin Nutr; 2004 Dec; 23(6):1313-23. PubMed ID: 15556253
[TBL] [Abstract][Full Text] [Related]
25. [Cross-sectional investigation of prevalence of type 2 diabetes in Shanghai].
Li R; Lu W; Jia WP; Li YY; Shi L; Liu MX; Geng GZ; Fu H; Shi R; Shi JH; Shi HL; Zhang SN
Zhonghua Yi Xue Za Zhi; 2006 Jun; 86(24):1675-80. PubMed ID: 16854320
[TBL] [Abstract][Full Text] [Related]
26. Serial epidemiological surveys in an urban Indian population demonstrate increasing coronary risk factors among the lower socioeconomic strata.
Gupta R; Gupta VP; Sarna M; Prakash H; Rastogi S; Gupta KD
J Assoc Physicians India; 2003 May; 51():470-7. PubMed ID: 12974428
[TBL] [Abstract][Full Text] [Related]
27. A diabetes risk score helps identify metabolic syndrome and cardiovascular risk in Indians - the Chennai Urban Rural Epidemiology Study (CURES-38).
Mohan V; Sandeep S; Deepa M; Gokulakrishnan K; Datta M; Deepa R
Diabetes Obes Metab; 2007 May; 9(3):337-43. PubMed ID: 17391160
[TBL] [Abstract][Full Text] [Related]
28. Fasting glucose and cardiovascular risk factors in an urban population.
Gupta R; Sarna M; Thanvi J; Sharma V; Gupta VP
J Assoc Physicians India; 2007 Oct; 55():705-9. PubMed ID: 18173023
[TBL] [Abstract][Full Text] [Related]
29. Increases in body mass index, even within non-obese levels, raise the risk for Type 2 diabetes mellitus: a follow-up study in a Japanese population.
Nagaya T; Yoshida H; Takahashi H; Kawai M
Diabet Med; 2005 Aug; 22(8):1107-11. PubMed ID: 16026381
[TBL] [Abstract][Full Text] [Related]
30. Period prevalence of abnormal glucose tolerance and cardiovascular risk factors among obese children attending an obesity centre in Italy.
Invitti C; Gilardini L; Pontiggia B; Morabito F; Mazzilli G; Viberti G
Nutr Metab Cardiovasc Dis; 2006 May; 16(4):256-62. PubMed ID: 16679217
[TBL] [Abstract][Full Text] [Related]
31. Diabetes associated with a low serum uric acid level in a general Chinese population.
Nan H; Dong Y; Gao W; Tuomilehto J; Qiao Q
Diabetes Res Clin Pract; 2007 Apr; 76(1):68-74. PubMed ID: 16963150
[TBL] [Abstract][Full Text] [Related]
32. Type II Diabetes Mellitus and impaired glucose tolerance in Yemen: prevalence, associated metabolic changes and risk factors.
Al-Habori M; Al-Mamari M; Al-Meeri A
Diabetes Res Clin Pract; 2004 Sep; 65(3):275-81. PubMed ID: 15331208
[TBL] [Abstract][Full Text] [Related]
33. Screen detection and the WHO stepwise approach to the prevalence and risk factors of arterial hypertension in Kinshasa.
Longo-Mbenza B; Ngoma DV; Nahimana D; Mayuku DM; Fuele SM; Ekwanzala F; Beya C
Eur J Cardiovasc Prev Rehabil; 2008 Oct; 15(5):503-8. PubMed ID: 18830083
[TBL] [Abstract][Full Text] [Related]
34. A comparative study of coronary and contributory risk factors in rural and urban type 2 diabetics.
Jha N
Kathmandu Univ Med J (KUMJ); 2004; 2(1):28-34. PubMed ID: 19780285
[TBL] [Abstract][Full Text] [Related]
35. Glucose intolerance (diabetes and IGT) in a selected South Indian population with special reference to family history, obesity and lifestyle factors--the Chennai Urban Population Study (CUPS 14).
Mohan V; Shanthirani CS; Deepa R
J Assoc Physicians India; 2003 Aug; 51():771-7. PubMed ID: 14651136
[TBL] [Abstract][Full Text] [Related]
36. [The prevalence of non-insulin-dependent diabetes mellitus and the associated risk factors in a population of Mexico, D. F].
Vázquez Robles M; Romero Romero E; Escandón Romero C; Escobedo de la Peña J
Gac Med Mex; 1993; 129(3):191-9. PubMed ID: 7926407
[TBL] [Abstract][Full Text] [Related]
37. Cardiovascular risk factors in the elderly: the Tehran Lipid and Glucose Study.
Azizi F; Emami H; Salehi P; Ghanbarian A; Mirmiran P; Mirbolooki M; Azizi T
J Cardiovasc Risk; 2003 Feb; 10(1):65-73. PubMed ID: 12569239
[TBL] [Abstract][Full Text] [Related]
38. Prevalence of Type 2 diabetes in urban and rural Chinese populations in Qingdao, China.
Dong Y; Gao W; Nan H; Yu H; Li F; Duan W; Wang Y; Sun B; Qian R; Tuomilehto J; Qiao Q
Diabet Med; 2005 Oct; 22(10):1427-33. PubMed ID: 16176207
[TBL] [Abstract][Full Text] [Related]
39. Prevalence, awareness, treatment and control of hypertension in Galicia (Spain) and association with related diseases.
Perez-Fernandez R; Mariño AF; Cadarso-Suarez C; Botana MA; Tome MA; Solache I; Rego-Iraeta A; Mato AJ
J Hum Hypertens; 2007 May; 21(5):366-73. PubMed ID: 17301825
[TBL] [Abstract][Full Text] [Related]
40. Effects of body mass index, plasma glucose and cholesterol levels on isolated systolic hypertension.
Ko GT; Cockram CS; Chow CC; Chan WB; So WY; Ma R; Osaki R; Chan JC
Int J Cardiol; 2005 Jun; 101(3):429-33. PubMed ID: 15907411
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]