J Korean Med Sci.  2012 Mar;27(3):243-249. 10.3346/jkms.2012.27.3.243.

Obesity Phenotype and Coronary Heart Disease Risk as Estimated by the Framingham Risk Score

Affiliations
  • 1Department of Family Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
  • 2Department of Family Medicine, Busan Paik Hospital, Inje University School of Medicine, Busan, Korea. hippoid@hanmail.net

Abstract

There are conflicting data as to whether general or abdominal obesity is a better predictor of cardiovascular risk. This cross-sectional study involved 4,573 subjects aged 30 to 74 yr who participated in the Fourth Korea National Health and Nutrition Examination Survey conducted in 2008. Obesity phenotype was classified by means of body mass index (BMI) and waist circumference (WC), and participants were categorized into 4 groups. Individuals' 10-yr risk of coronary heart diseases (CHD) was determined from the Framingham risk score. Subjects with obese WC had a higher proportion of high risk for CHD compared to the normal WC group, irrespective of BMI level. Relative to subjects with normal BMI/normal WC, the adjusted odds ratios (ORs) of normal BMI/obese WC group (OR 2.93 [1.70, 5.04] and OR 3.10 [1.49, 6.46]) for CHD risk in male were higher than obese BMI/obese WC group (OR 1.91 [1.40, 2.61] and OR 1.70 [1.16, 2.47]), whereas the adjusted ORs of obese BMI/obese WC group (OR 1.94 [1.24, 3.04] and OR 3.92 [1.75, 8.78]) were higher than the others in female. Subjects with obese BMI/normal WC were not significantly associated with 10-yr CHD risk in men (P = 0.449 and P = 0.067) and women (P = 0.702 and P = 0.658). WC is associated with increased CHD risk regardless of the level of BMI. Men with normal BMI and obese WC tend to be associated with CHD risk than those with obese BMI and obese WC.

Keyword

Obesity; Body Mass Index; Waist Circumference; Cardiovascular Disease; Coronary Heart Disease; KNHANES

MeSH Terms

Adult
Aged
Body Mass Index
Coronary Disease/epidemiology/*etiology
Cross-Sectional Studies
Female
Humans
Male
Middle Aged
Nutrition Surveys/statistics & numerical data
Obesity/*complications/epidemiology/*pathology
Odds Ratio
Phenotype
Republic of Korea/epidemiology
Risk Factors
Waist Circumference

Figure

  • Fig. 1 Framingham risk score category within the obesity phenotype groups according to body mass index and waist circumference by gender (P < 0.001 across obesity phenotype groups). Normal BMI, 18.5 ≤ BMI < 25.0 (kg/m2); Obese BMI, BMI ≥ 25.0 kg/m2; Normal WC, WC < 90 cm in men or < 80 cm in women; Obese WC, WC ≥ 90 cm in men or ≥ 80 cm in women. BMI, body mass index; WC, waist circumference.


Reference

1. Guh DP, Zhang W, Bansback N, Amarsi Z, Birmingham CL, Anis AH. The incidence of co-morbidities related to obesity and overweight: a systematic review and meta-analysis. BMC Public Health. 2009. 9:88.
2. Onat A, Avci GS, Barlan MM, Uyarel H, Uzunlar B, Sansoy V. Measures of abdominal obesity assessed for visceral adiposity and relation to coronary risk. Int J Obes Relat Metab Disord. 2004. 28:1018–1025.
3. Satoh H, Kishi R, Tsutsui H. Body mass index can similarly predict the presence of multiple cardiovascular risk factors in middle-aged Japanese subjects as waist circumference. Intern Med. 2010. 49:977–982.
4. Ryan MC, Fenster Farin HM, Abbasi F, Reaven GM. Comparison of waist circumference versus body mass index in diagnosing metabolic syndrome and identifying apparently healthy subjects at increased risk of cardiovascular disease. Am J Cardiol. 2008. 102:40–46.
5. Janiszewski PM, Janssen I, Ross R. Does waist circumference predict diabetes and cardiovascular disease beyond commonly evaluated cardiometabolic risk factors? Diabetes Care. 2007. 30:3105–3109.
6. Zhu S, Heymsfield SB, Toyoshima H, Wang Z, Pietrobelli A, Heshka S. Race-ethnicity-specific waist circumference cutoffs for identifying cardiovascular disease risk factors. Am J Clin Nutr. 2005. 81:409–415.
7. Huang KC, Lee MS, Lee SD, Chang YH, Lin YC, Tu SH, Pan WH. Obesity in the elderly and its relationship with cardiovascular risk factors in Taiwan. Obes Res. 2005. 13:170–178.
8. Romero-Corral A, Somers VK, Sierra-Johnson J, Korenfeld Y, Boarin S, Korinek J, Jensen MD, Parati G, Lopez-Jimenez F. Normal weight obesity: a risk factor for cardiometabolic dysregulation and cardiovascular mortality. Eur Heart J. 2010. 31:737–746.
9. Karelis AD, St-Pierre DH, Conus F, Rabasa-Lhoret R, Poehlman ET. Metabolic and body composition factors in subgroups of obesity: what do we know? J Clin Endocrinol Metab. 2004. 89:2569–2575.
10. Tanaka S, Togashi K, Rankinen T, Pérusse L, Leon AS, Rao DC, Skinner JS, Wilmore JH, Bouchard C. Is adiposity at normal body weight relevant for cardiovascular disease risk? Int J Obes Relat Metab Disord. 2002. 26:176–183.
11. Ying X, Song ZY, Zhao CJ, Jiang Y. Body mass index, waist circumference, and cardiometabolic risk factors in young and middle-aged Chinese women. J Zhejiang Univ Sci B. 2010. 11:639–646.
12. Guidelines for Data Processing and Analysis of the International Physical Activity Questionnaire (IPAQ) - Short and Long Forms. IPAQ core group. accessed on 6 May 2011. (Revised November 2005) Available at http://www.ipaq.ki.se/scoring.htm.
13. Wilson PW, D'Agostino RB, Levy D, Belanger AM, Silbershatz H, Kannel WB. Prediction of coronary heart disease using risk factor categories. Circulation. 1998. 97:1837–1847.
14. Lei SF, Liu MY, Chen XD, Deng FY, Lv JH, Jian WX, Xu H, Tan LJ, Yang YJ, Wang YB, Xiao SM, Sun X, Jiang C, Guo YF, Guo JJ, Li YN, Liu YJ, Deng HW. Relationship of total body fatness and five anthropometric indices in Chinese aged 20-40 years: different effects of age and gender. Eur J Clin Nutr. 2006. 60:511–518.
15. Gallagher D, Visser M, Sepulveda D, Pierson RN, Harris T, Heymsfield SB. How useful is body mass index for comparison of body fatness across age, sex, and ethnic groups? Am J Epidemiol. 1996. 143:228–239.
16. Hauner H, Bramlage P, Losch C, Jockel KH, Moebus S, Schunkert H, Wasem J. Overweight, obesity and high waist circumference: regional differences in prevalence in primary medical care. Dtsch Arztebl Int. 2008. 105:827–833.
17. Lear SA, Humphries KH, Kohli S, Birmingham CL. The use of BMI and waist circumference as surrogates of body fat differs by ethnicity. Obesity (Silver Spring). 2007. 15:2817–2824.
18. Van Pelt RE, Evans EM, Schechtman KB, Ehsani AA, Kohrt WM. Waist circumference vs body mass index for prediction of disease risk in postmenopausal women. Int J Obes Relat Metab Disord. 2001. 25:1183–1188.
19. Charlton KE, Schloss I, Visser M, Lambert EV, Kolbe T, Levitt NS, Temple N. Waist circumference predicts clustering of cardiovascular risk factors in older South Africans. Cardiovasc J S Afr. 2001. 12:142–150.
20. Thomas GN, Ho SY, Lam KS, Janus ED, Hedley AJ, Lam TH. Hong Kong Cardiovascular Risk Factor Prevalence Study Steering Committee. Impact of obesity and body fat distribution on cardiovascular risk factors in Hong Kong Chinese. Obes Res. 2004. 12:1805–1813.
21. Testa G, Cacciatore F, Galizia G, Della-Morte D, Mazzella F, Langellotto A, Russo S, Gargiulo G, De Santis D, Ferrara N, Rengo F, Abete P. Waist circumference but not body mass index predicts long-term mortality in elderly subjects with chronic heart failure. J Am Geriatr Soc. 2010. 58:1433–1440.
22. Okosun IS, Liao Y, Rotimi CN, Prewitt TE, Cooper RS. Abdominal adiposity and clustering of multiple metabolic syndrome in White, Black and Hispanic Americans. Ann Epidemiol. 2000. 10:263–270.
23. Frankenfield DC, Rowe WA, Cooney RN, Smith JS, Becker D. Limits of body mass index to detect obesity and predict body composition. Nutrition. 2001. 17:26–30.
24. Cho YG, Song HJ, Kim JM, Park KH, Paek YJ, Cho JJ, Caterson I, Kang JG. The estimation of cardiovascular risk factors by body mass index and body fat percentage in Korean male adults. Metabolism. 2009. 58:765–771.
25. Ho SC, Chen YM, Woo JL, Leung SS, Lam TH, Janus ED. Association between simple anthropometric indices and cardiovascular risk factors. Int J Obes Relat Metab Disord. 2001. 25:1689–1697.
26. Jeong SK, Seo MW, Kim YH, Kweon SS, Nam HS. Does waist indicate dyslipidemia better than BMI in Korean adult population? J Korean Med Sci. 2005. 20:7–12.
27. 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.
28. Zeller M, Steg PG, Ravisy J, Lorgis L, Laurent Y, Sicard P, Janin-Manificat L, Beer JC, Makki H, Lagrost AC, Rochette L, Cottin Y. RICO Survey Working Group. Relation between body mass index, waist circumference, and death after acute myocardial infarction. Circulation. 2008. 118:482–490.
29. Pischon T, Boeing H, Hoffmann K, Bergmann M, Schulze MB, Overvad K, van der Schouw YT, Spencer E, Moons KG, Tjønneland A, Halkjaer J, Jensen MK, Stegger J, Clavel-Chapelon F, Boutron-Ruault MC, Chajes V, Linseisen J, Kaaks R, Trichopoulou A, Trichopoulos D, Bamia C, Sieri S, Palli D, Tumino R, Vineis P, Panico S, Peeters PH, May AM, Bueno-de-Mesquita HB, van Duijnhoven FJ, Hallmans G, Weinehall L, Manjer J, Hedblad B, Lund E, Agudo A, Arriola L, Barricarte A, Navarro C, Martinez C, Quirós JR, Key T, Bingham S, Khaw KT, Boffetta P, Jenab M, Ferrari P, Riboli E. General and abdominal adiposity and risk of death in Europe. N Engl J Med. 2008. 359:2105–2120.
30. Ruderman NB, Schneider SH, Berchtold P. The "metabolically-obese," normal-weight individual. Am J Clin Nutr. 1981. 34:1617–1621.
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