Appropriate waist circumference cut-offs to predict diabetes in the korean population: - The korean genome and epidemiology study -

Circulation Journal

Volumn 74, Issue 7, 2010, Pages 1357-1363

  Choi, Sun Ja ^a   Keam, Bhumsuk ^a   Park, Sung Hee ^a   Park, Hyun Young ^a  

^a Korea National Institute of Health   (South Korea)

Author keywords

Diabetes; Korean; Obesity; Prevention; Waist circumference

Indexed keywords

ADULT; AGED; ARTICLE; CONTROLLED STUDY; DIABETES MELLITUS; FEMALE; FOLLOW UP; HUMAN; INCIDENCE; KOREA; MALE; PREDICTION; RECEIVER OPERATING CHARACTERISTIC; REFERENCE VALUE; RISK ASSESSMENT; RISK FACTOR; SENSITIVITY ANALYSIS; SENSITIVITY AND SPECIFICITY; WAIST CIRCUMFERENCE; ASIAN CONTINENTAL ANCESTRY GROUP; MASS SCREENING; MIDDLE AGED; PHYSIOLOGY; PREDICTIVE VALUE; PROSPECTIVE STUDY; VERY ELDERLY;

ADULT; AGED; AGED, 80 AND OVER; ASIAN CONTINENTAL ANCESTRY GROUP; DIABETES MELLITUS; FEMALE; HUMANS; INCIDENCE; KOREA; MALE; MASS SCREENING; MIDDLE AGED; PREDICTIVE VALUE OF TESTS; PROSPECTIVE STUDIES; ROC CURVE; WAIST CIRCUMFERENCE;

EID: 77954509569     PISSN: 13469843     EISSN: 13474820     Source Type: Journal    
DOI: 10.1253/circj.CJ-09-0739     Document Type: Article

References (40)

1. Balkau B, Deanfield JE, Despres JP, Bassand JP, Fox KA, Smith SC Jr, 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 2007; 116: 1942-1951.
2. Hubert HB, Feinleib M, McNamara PM, Castelli WP. Obesity as an independent risk factor for cardiovascular disease: A 26-year follow-up of participants in the Framingham Heart Study. Circulation 1983; 67: 968-977.
3. Pi-Sunyer FX. Medical hazards of obesity. Ann Intern Med 1993; 119: 655-660.
4. Must A, Spadano J, Coakley EH, Field AE, Colditz G, Dietz WH. The disease burden associated with overweight and obesity. JAMA 1999; 282: 1523-1529.
5. de Onis M, Blossner M. Prevalence and trends of overweight among preschool children in developing countries. Am J Clin Nutr 2000; 72: 1032-1039.
6. Mokdad AH, Serdula MK, Dietz WH, Bowman BA, Marks JS, Koplan JP. The continuing epidemic of obesity in the United States. JAMA 2000; 284: 1650-1651.
7. Pi-Sunyer FX. The obesity epidemic: Pathophysiology and consequences of obesity. Obes Res 2002; 10(Suppl2): 97S-104S.
8. Ness-Abramof R, Apovian CM. Waist circumference measurement in clinical practice. Nutr Clin Pract 2008; 23: 397-404.
9. de Koning L, Merchant AT, Pogue J, Anand SS. Waist circumference and waist-to-hip ratio as predictors of cardiovascular events: Meta-regression analysis of prospective studies. Eur Heart J 2007; 28: 850-856.
10. Janssen I, Katzmarzyk PT, Ross R. Body mass index, waist circumference, and health risk: Evidence in support of current National Institutes of Health guidelines. Arch Intern Med 2002; 162: 2074-2079.
11. 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.
12. Clinical Guidelines on the Identification, Evaluation, and Treatment of Overweight and Obesity in Adults: The Evidence Report. National Institutes of Health. Obes Res 1998; 6(Suppl2): 51S-209S.
13. Executive Summary of The Third Report of The National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, And Treatment of High Blood Cholesterol In Adults (Adult Treatment Panel III). JAMA 2001; 285: 2486-2497.
14. Alberti KG, Zimmet P, Shaw J. Metabolic syndrome: A new worldwide definition: A Consensus Statement from the International Diabetes Federation. Diabet Med 2006; 23: 469-480.
15. Oh JY, Hong YS, Sung YA, Barrett-Connor E. Prevalence and factor analysis of metabolic syndrome in an urban Korean population. Diabetes Care 2004; 27: 2027-2032.
16. Inoue S, Zimmet P, Caterson I, Chunming C, lkeda Y, Khalid AK, et al. Assessment/Diagnosis. In: The Asia-Pacific perspective: Rede-fining obesity and its treatment. Health Communication Australia Pty Limited February, 2000; 15-21.
17. Knight JA, Anderson S, Rawle JM. Chemical basis of the sulfo-phospho-vanillin reaction for estimating total serum lipids. Clin Chem 1972; 18: 199-202.
18. Obesity. In: In-depth analysis of the Third Korea Health and Nutrition Examination Survey (KNHANES III). Seoul: Korea Centers for Disease Control and Prevention, 2007; 71-74.
19. Huxley R, James WP, Barzi F, Patel JV, Lear SA, Suriyawongpaisal P, et al. Ethnic comparisons of the cross-sectional relationships between measures of body size with diabetes and hypertension. Obes Rev 2008; 9(Suppl1): 53-61.
20. Nyamdorj R, Qiao Q, Lam TH, Tuomilehto J, Ho SY, Pitkaniemi J, et al. BMI compared with central obesity indicators in relation to diabetes and hypertension in Asians. Obesity (Silver Spring) 2008; 16: 1622-1635.
21. Li R, Lu W, Jia J, Zhang S, Shi L, Li Y, et al. Relationships between indices of obesity and its cardiovascular comorbidities in a Chinese population. Circ J 2008; 72: 973-978.
22. Ko GT, Chan JC, Cockram CS, Woo J. Prediction of hypertension, diabetes, dyslipidaemia or albuminuria using simple anthropomet-ric indexes in Hong Kong Chinese. Int J Obes Relat Metab Disord 1999; 23: 1136-1142.
23. Wildman RP, Gu D, Reynolds K, Duan X, He J. Appropriate body mass index and waist circumference cutoffs for categorization of overweight and central adiposity among Chinese adults. Am J Clin Nutr 2004; 80: 1129-1136.
24. Sheu WH, Chuang SY, Lee WJ, Tsai ST, Chou P, Chen CH. Predictors of incident diabetes, metabolic syndrome in middle-aged adults: A 10-year follow-up study from Kinmen, Taiwan. Diabetes Res Clin Pract 2006; 74: 162-168.
25. Onat A, Hergenc G, Uyarel H, Can G, Ozhan H. Prevalence, incidence, predictors and outcome of type 2 diabetes in Turkey. Anadolu Kardiyol Derg 2006; 6: 314-321.
26. Esmaillzadeh A, Mirmiran P, Azizi F. Comparative evaluation of anthropometric measures to predict cardiovascular risk factors in Tehranian adult women. Public Health Nutr 2006; 9: 61-69.
27. Schulze MB, Heidemann C, Schienkiewitz A, Bergmann MM, Hoffmann K, Boeing H. Comparison of anthropometric characteristics in predicting the incidence of type 2 diabetes in the EPIC-Potsdam study. Diabetes Care 2006; 29: 1921-1923.
28. Mamtani MR, Kulkarni HR. Predictive performance of anthropo-metric indexes of central obesity for the risk of type 2 diabetes. Arch Med Res 2005; 36: 581-589.
29. Baik I. Optimal cutoff points of waist circumference for the criteria of abdominal obesity: Comparison with the criteria of the International Diabetes Federation. Circ J 2009; 73: 2068-2075.
30. Park SH, Choi SJ, Lee KS, Park HY. Waist circumference and waist-to-height ratio as predictors of cardiovascular disease risk in Korean adults. Circ J 2009; 73: 1643-1650.
31. Meisinger C, Doring A, Thorand B, Heier M, Lowel H. Body fat distribution and risk of type 2 diabetes in the general population: Are there differences between men and women? The MONICA/ KORA Augsburg cohort study. Am J Clin Nutr 2006; 84: 483-489.
32. 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.
33. Okosun IS, Liao Y, Rotimi CN, Choi S, Cooper RS. Predictive values of waist circumference for dyslipidemia, type 2 diabetes and hypertension in overweight White, Black, and Hispanic American adults. J Clin Epidemiol 2000; 53: 401-408.
34. Ito H, Nakasuga K, Ohshima A, Maruyama T, Kaji Y, Harada M, et al. Detection of cardiovascular risk factors by indices of obesity obtained from anthropometry and dual-energy X-ray absorptiome-try in Japanese individuals. Int J Obes Relat Metab Disord 2003; 27: 232-237.
35. Aekplakorn W, Kosulwat V, Suriyawongpaisal P. Obesity indices and cardiovascular risk factors in Thai adults. Int J Obes (Lond) 2006; 30: 1782-1790.
36. Zhou BF. Predictive values of body mass index and waist circumference for risk factors of certain related diseases in Chinese adults: Study on optimal cut-off points of body mass index and waist circumference in Chinese adults. Biomed Environ Sci 2002; 15: 83-96.
37. The Examination Committee of Criteria for 'Obesity Disease' in Japan, Japan Society for the Study of Obesity. New criteria for 'obesity disease' in Japan. Circ J 2002; 66: 987-992.
38. Han JH, Park HS, Kim SM, Lee SY, Kim DJ, Choi WH. Visceral adipose tissue as a predictor for metabolic risk factors in the Korean population. Diabet Med 2008; 25: 106-110.
39. Kim JA, Choi CJ, Yum KS. Cut-off values of visceral fat area and waist circumference: Diagnostic criteria for abdominal obesity in a Korean population. J Korean Med Sci 2006; 21: 1048-1053.
40. Hsieh SD, Yoshinaga H, Muto T. Waist-to-height ratio, a simple and practical index for assessing central fat distribution and metabolic risk in Japanese men and women. Int J Obes Relat Metab Disord 2003; 27: 610-616.