BMI compared with central obesity indicators in relation to diabetes and hypertension in Asians

Obesity

Volumn 16, Issue 7, 2008, Pages 1622-1635

  Nyamdorj, R ^a,b   Qiao, Q ^a,b   Lam, T H ^c   Tuomilehto, J ^a,b,d   Ho, S Y ^c   Pitkaniemi J ^a   Nakagami, T ^e   Mohan, V ^f   Janus, E D ^c,g   Ferreira, S R G ^h  

^a UNIVERSITY OF HELSINKI   (Finland)

^b NATIONAL PUBLIC HEALTH INSTITUTE   (Finland)

^c UNIVERSITY OF HONG KONG   (Hong Kong)

^d SOUTH OSTROBOTHNIA CENTRAL HOSPITAL   (Finland)

^e TOKYO WOMEN'S MEDICAL UNIVERSITY   (Japan)

^f MADRAS DIABETES RESEARCH FOUNDATION   (India)

^g UNIVERSITY OF MELBOURNE   (Australia)

^h FEDERAL UNIVERSITY OF SÃO PAULO   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; ARTICLE; ASIA; ASIAN; BODY HEIGHT; BODY MASS; CLINICAL TRIAL; COMPARATIVE STUDY; CROSS-SECTIONAL STUDY; DIABETES MELLITUS; ETHNOLOGY; FEMALE; HEALTH SURVEY; HUMAN; HYPERTENSION; MALE; META ANALYSIS; MIDDLE AGED; MULTICENTER STUDY; OBESITY; PATHOPHYSIOLOGY; RISK; RISK ASSESSMENT; RISK FACTOR; ROC CURVE; STATISTICS; WAIST HIP RATIO;

ADULT; AGED; ASIA; ASIAN CONTINENTAL ANCESTRY GROUP; BODY HEIGHT; BODY MASS INDEX; CROSS-SECTIONAL STUDIES; DIABETES MELLITUS; FEMALE; HEALTH STATUS INDICATORS; HUMANS; HYPERTENSION; MALE; MIDDLE AGED; OBESITY; ODDS RATIO; RISK ASSESSMENT; RISK FACTORS; ROC CURVE; WAIST-HIP RATIO;

EID: 46249128582     PISSN: 19307381     EISSN: 1930739X     Source Type: Journal    
DOI: 10.1038/oby.2008.73     Document Type: Article

References (52)

1. de Simone G, Devereux RB, Chinali M et al. Risk factors for arterial hypertension in adults with initial optimal blood pressure: the Strong Heart Study. Hypertension 2006;47:162-167.
2. Yan LL, Daviglus ML, Liu K et al. Midlife body mass index and hospitalization and mortality in older age. JAMA 2006;295:190-198.
3. Steering Committee of the WHO Western Pacific Region. The Asia-Pacific Perspective: Redefining Obesity and its Treatment. Health Communications Australia Pty: Sydney, Australia, 2000.
4. Prentice AM. The emerging epidemic of obesity in developing countries. Int J Epidemiol 2006;35:93-99.
5. Pan XR, Li GW, Hu YH et al. Effects of diet and exercise in preventing NIDDM in people with impaired glucose tolerance. The Da Qing IGT and Diabetes Study. Diabetes Care 1997;20:537-544.
6. Tuomilehto J, Lindstrom J, Eriksson JG et al. Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with impaired glucose tolerance. N Engl J Med 2001;344:1343-1350.
7. Davis BR, Blaufox MD, Oberman A et al. Reduction in long-term antihypertensive medication requirements. Effects of weight reduction by dietary intervention in overweight persons with mild hypertension. Arch Intern Med 1993;153:1773-1782.
8. Svetkey LP, Erlinger TP, Vollmer WM et al. Effect of lifestyle modifications on blood pressure by race, sex, hypertension status, and age. J Hum Hypertens 2005;19:21-31.
9. Folsom AR, Kushi LH, Anderson KE et al. Associations of general and abdominal obesity with multiple health outcomes in older women: the Iowa Women's Health Study. Arch Intern Med 2000;160:2117-2128.
10. Tulloch-Reid MK, Williams DE, Looker HC, Hanson RL and Knowler WC. Do measures of body fat distribution provide information on the risk of type 2 diabetes in addition to measures of general obesity? Comparison of anthropometric predictors of type 2 diabetes in Pima Indians. Diabetes Care 2003;26:2556-2561.
11. Esmaillzadeh A, Mirmiran P, Azizi F. Waist-to-hip ratio is a better screening measure for cardiovascular risk factors than other anthropometric indicators in Tehranian adult men. Int J Obes Relat Metab Disord 2004;28:1325-1332.
12. Rosenthal AD, Jin F, Shu XO et al. Body fat distribution and risk of diabetes among Chinese women. Int J Obes Relat Metab Disord 2004;28:594-599.
13. Hayashi T, Boyko EJ, McNeely MJ et al. Minimum waist and visceral fat values for identifying Japanese americans at risk for the metabolic syndrome. Diabetes Care 2007;30:120-127.
14. Menke A, Muntner P, Wildman RP, Reynolds K, He J. Measures of adiposity and cardiovascular disease risk factors. Obesity (Silver Spring) 2007;15:785-795.
15. Sakurai M, Miura K, Takamura T et al. Gender differences in the association between anthropometric indices of obesity and blood pressure in Japanese. Hypertens Res 2006;29:75-80.
16. The DECODA Study Group. Age- and sex-specific prevalence of diabetes and impaired glucose regulation in 11 Asian cohorts. Diabetes Care 2003;26:1770-1780.
17. Cockram CS, Woo J, Lau E et al. The prevalence of diabetes mellitus and impaired glucose tolerance among Hong Kong Chinese adults of working age. Diabetes Res Clin Pract 1993;21:67-73.
18. Diabetes Research Cooperation Group of National "the Ninth Five" Major Research Plan. A survey of diabetes prevalence in the middle-aged and elderly Chinese from 12 areas of China. Chin J Endocrinol Metab 2002;18:280-284.
19. Dong Y, Gao W, Nan H et al. Prevalence of Type 2 diabetes in urban nd rural Chinese populations in Qingdao, China. Diabet Med 2005;22:1427-1433.
20. Janus ED, Watt NM, Lam KS et al. The prevalence of diabetes, association with cardiovascular risk factors and implications of diagnostic criteria (ADA 1997 and WHO 1998) in a 1996 community-based population study in Hong Kong Chinese. Hong Kong Cardiovascular Risk Factor Steering Committee. American Diabetes Association. Diabet Med 2000;17:741-745.
21. Soderberg S, Zimmet P, Tuomilehto J et al. Increasing prevalence of Type 2 diabetes mellitus in all ethnic groups in Mauritius. Diabet Med 2005;22:61-68.
22. Ramachandran A, Snehalatha C, Satyavani K, Sivasankari S, Vijay V. Metabolic syndrome in urban Asian Indian adults - a population study using modified ATP III criteria. Diabetes Res Clin Pract 2003;60:199-204.
23. Mohan V, Shanthirani S, Deepa R et al. Intra-urban differences in the prevalence of the metabolic syndrome in southern India - the Chennai Urban Population Study (CUPS No. 4). Diabet Med 2001;18:280-287.
24. Mohan V, Deepa M, Deepa R et al. Secular trends in the prevalence of diabetes and impaired glucose tolerance in urban South India-the Chennai Urban Rural Epidemiology Study (CURES-17). Diabetologia 2006;49:1175-1178.
25. Daimon M, Oizumi T, Saitoh T et al. Decreased serum levels of adiponectin are a risk factor for the progression to type 2 diabetes in the Japanese Population: the Funagata study. Diabetes Care 2003;26:2015-2020.
26. Gimeno SG, Ferreira SR, Franco LJ, Iunes M. Comparison of glucose tolerance categories according to World Health Organization and American Diabetes Association diagnostic criteria in a population-based study in Brazil. The Japanese-Brazilian Diabetes Study Group. Diabetes Care 1998;21:1889-1892.
27. Suvd J, Gerel B, Otgooloi H et al. Glucose intolerance and associated factors in Mongolia: results of a national survey. Diabet Med 2002;19:502-508.
28. Baltazar JC, Ancheta CA, Aban IB, Fernando RE, Baquilod MM. Prevalence and correlates of diabetes mellitus and impaired glucose tolerance among adults in Luzon, Philippines. Diabetes Res Clin Pract 2004;64:107-115.
29. Definition, Diagnosis, and Classification of Diabetes Mellitus and its Complications. Part 1: Diagnosis and Classification of Diabetes Mellitus. World Health Organization. Department of Noncommunicable Disease Surveillance: Geneva, 1999.
30. 1999 World Health Organization-International Society of Hypertension Guidelines for the Management of Hypertension. Guidelines Subcommittee. J Hypertens 1999;17:151-183.
31. Fleiss JL. The statistical basis of meta-analysis. Stat Methods Med Res 1993;2:121-145.
32. Stern MP, Williams K, Haffner SM. Identification of persons at high risk for type 2 diabetes mellitus: do we need the oral glucose tolerance test? Ann Intern Med 2002;136:575-581.
33. Vague J. Sexual differentiation. A factor affecting the forms of obesity. Press Med 1947;30:339-340.
34. Vague J. The degree of masculine differentiation of obesities: a factor determining predisposition to diabetes, atherosclerosis, gout, and uric calculous disease. Am J Clin Nutr 1956;4:20-34.
35. Pouliot MC, Despres JP, Lemieux S 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;73:460-468.
36. Lean ME, Han TS, Morrison CE. Waist circumference as a measure for indicating need for weight management. BMJ 1995;311:158-161.
37. Ho SY, Lam TH, Janus ED. Waist to stature ratio is more strongly associated with cardiovascular risk factors than other simple anthropometric indices. Ann Epidemiol 2003;13:683-691.
38. Hsieh SD, Muto T. Metabolic syndrome in Japanese men and women with special reference to the anthropometric criteria for the assessment of obesity: proposal to use the waist-to-height ratio. Prev Med 2006;42:135-139.
39. Aekplakorn W, Kosulwat V, Suriyawongpaisal P. Obesity indices and cardiovascular risk factors in Thai adults. Int J Obes (Lond) 2006;30:1782-1790.
40. Dobbelsteyn CJ, Joffres MR, MacLean DR, Flowerdew G. A comparative evaluation of waist circumference, waist-to-hip ratio and body mass index as indicators of cardiovascular risk factors. The Canadian Heart Health Surveys. Int J Obes Relat Metab Disord 2001;25:652-661.
41. Dalton M, Cameron AJ, Zimmet PZ et al. Waist circumference, waist-hip ratio and body mass index and their correlation with cardiovascular disease risk factors in Australian adults. J Intern Med 2003;254:555-563.
42. Lorenzo C, Serrano-Rios M, Martinez-Larrad MT et al. Which obesity index best explains prevalence differences in type 2 diabetes mellitus? Obesity (Silver Spring) 2007;15:1294-1301.
43. Yusuf S, Hawken S, Ounpuu S et al. Obesity and the risk of myocardial infarction in 27,000 participants from 52 countries: a case-control study. Lancet 2005;366:1640-1649.
44. Ito H, Nakasuga K, Ohshima A 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;27:232-237.
45. Wei M, Gaskill SP, Haffner SM, Stern MP. Waist circumference as the best predictor of noninsulin dependent diabetes mellitus (NIDDM) compared to body mass index, waist/hip ratio and other anthropometric measurements in Mexican Americans - a 7-year prospective study. Obes Res 1997;5:16-23.
46. Schulze MB, Heidemann C, Schienkiewitz A et al. Comparison of anthropometric characteristics in predicting the incidence of type 2 diabetes in the EPIC-Potsdam study. Diabetes Care 2006;29:1921-1923.
47. Wang Y, Rimm EB, Stampfer MJ, Willett WC, Hu FB. Comparison of abdominal adiposity and overall obesity in predicting risk of type 2 diabetes among men. Am J Clin Nutr 2005;81:555-563.
48. Lakka HM, Lakka TA, Tuomilehto J, Salonen JT. Abdominal obesity is associated with increased risk of acute coronary events in men. Eur Heart J 2002;23:706-713.
49. Zhang X, Shu XO, Gao YT et al. Anthropometric predictors of coronary heart disease in Chinese women. Int J Obes Relat Metab Disord 2004;28:734-740.
50. Kim KS, Owen WL, Williams D, Adams-Campbell LL. A comparison between BMI and Conicity index on predicting coronary heart disease: the Framingham Heart Study. Ann Epidemiol 2000;10:424-431.
51. Wang Z, Hoy WE. Waist circumference, body mass index, hip circumference and waist-to-hip ratio as predictors of cardiovascular disease in Aboriginal people. Eur J Clin Nutr 2004;58:888-893.
52. Aekplakorn W, Pakpeankitwatana V, Lee CM et al. Abdominal obesity and coronary heart disease in Thai men. Obesity (Silver Spring) 2007;15:1036-1042.