DOI QR코드

DOI QR Code

건강검진 수검자들의 대사증후군 위험인자별 유병률 및 비만지표와의 관련성

Prevalence Rates of Risk Factors of Metabolic Syndrome, and Its Related with Obesity Indices Among the Health Checkup Examinees

  • 박규리 (한국건강관리협회) ;
  • 조영채 (충남대학교 의학전문대학원 예방의학교실)
  • Park, Kyu-Ri (Korea Association of Health Promotion) ;
  • Cho, Young-Chae (Department of Preventive Medicine and Public Health, Chungnam National University School of Medicine)
  • 투고 : 2016.01.08
  • 심사 : 2016.03.03
  • 발행 : 2016.03.31

초록

본 연구는 일반 성인을 대상으로 대사증후군 위험인자의 유병률을 파악하고, 각 대사증후군 위험인자들과 비만지표들과의 관련성을 파악하며, 비만지표들의 대사증후군을 예측하기 위한 관련성과 타당도를 검토하고자 시도하였다. 조사대상은 2014년 2월부터 11월까지의 기간에 한국건강관리협회 D지부 건강검진센타에서 종합건강검진을 받았던 20세 이상 1,051명을 대상으로 하였다. 연구결과, 조사대상자의 대사증후군 유병률은 21.5%이었으며, 각 위험인자의 유병률은 허리둘레의 경우 남자 31.8%, 여자 41.6%이었으며, TG는 남자 35.6%, 여자 17.3%이었고, HDL-C는 남자 17.6%, 여자 34.2%이었다. 혈압은 남자 53.5%, 여자 35.9%이었으며, FBS는 남자 14.9%, 여자 6.8%이었다. 이 같은 유병률은 연령이 높은 군일수록, BMI가 높은 군일수록, 음주횟수가 많은 군일수록, 유의하게 높았다. 비만지표별 대사증후군 위험요인 개수별 예측도를 보면 허리둘레/신장비가 높게 나타났다. 이상과 같은 결과를 볼 때, 다른 비만지표에 비해 허리둘레/신장비가 대사증후군 위험요인을 선별하는데 좀 더 예측력이 있다고 나타났다. 허리둘레/신장비는 간단하고 실용적인 복부비만의 지표가 될 수 있으며 대사증후군에 대한 선별검사로서 체질량지수와 허리둘레보다 우수한 것으로 나타났다.

The aim of this study was to estimate the prevalence of the metabolic syndrome risk factors for adults in the general population, understand the relationship of each factor with the obesity indicators, and examine the relevance and validity for predicting the metabolic syndrome in obese indicators. The study subjects were 1,051 adults aged 20 years and over, who underwent a health package check-up at the Korea Association of Health Promotion, D-branch from Feb. to Nov. 2014. As a result, the prevalence rates of metabolic syndrome of the study subjects were 21.5%, and the prevalence rates of the metabolic risk factors were as follows: 31.8% of men and 41.6% of women for abdominal obesity; 35.6% of men and 17.3% of women for TG; 17.6% of men and 34.2% of women for HDL-C; 53.5% of men and 35.9% of women for blood pressure; and 14.9% of men and 6.8% of women for FBS. The prevalence rates of metabolic syndrome were significantly higher in the older age group, in the group with the higher BMI, and in the group of higher level of drinking frequency. In the predictive indicators of obesity on metabolic syndrome risk factors, the waist / height ratio was higher than other indicators. Conclusively, WHtR appeared to be a useful indicator to show abdominal obesity and is better in selecting metabolic syndrome patients compared to other obesity indicators.

키워드

참고문헌

  1. Reaven GM. Role of insulin resistance in human disease. Diabetes, 37:1595-607, 1988. https://doi.org/10.2337/diab.37.12.1595
  2. Alberti K, Zimmet P. Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: Diagnosis and classification of diabetes mellitus, provisional report of a WHO consultation. Diabetes Med, 15:539-53, 1998. https://doi.org/10.1002/(SICI)1096-9136(199807)15:7<539::AID-DIA668>3.0.CO;2-S
  3. Park Js, Park HD, Yun JW, et al. Prevalence of the metabolic syndrome as defined by NCEP-ATP III. Korean Journal of Medicine, 63(3):290-298, 2002.
  4. Fujimoto WY, Bergstrom RW, Boyko EJ, Leonetti DL, Newell-Morris LL, Wahl PW. Susceptibility to development of central adiposity among populations. Obes Res 3(suppl.2):S179-S86, 1995. https://doi.org/10.1002/j.1550-8528.1995.tb00461.x
  5. McKeigue PM, Shah B, Marmot MG. Relation of central obesity and insulin resistance with high diabetes prevalence and cardiovascular risk in south Asians. Lancet 337:382-386, 1991. https://doi.org/10.1016/0140-6736(91)91164-P
  6. Earl S. Ford, Wayne H. Giles, Mreatme D, William H. Dietz, Prevalence of the Metabolic Syndrome Among US Among USA adults, JAMA, 287:356-359, 2002. https://doi.org/10.1001/jama.287.3.356
  7. Ford ES, Giles WH, Dietz WH. Prevalence of the metabolic sundrome among US adults: findings from the third National Health and Nutrition Examination Survey, JAMA, 287:356-359, 2002. https://doi.org/10.1001/jama.287.3.356
  8. Lim S, Lee HK, Park KS. Changes in the characteristics of metabolic syndrome in Korea over the period 1998-2001 as determined by Korean National Health and Nutrition Examination Surveys. Diabetes Care, 28:1810-2, 2005. https://doi.org/10.2337/diacare.28.7.1810
  9. Kesteloot H, Van Houte O. An epidemiologic survey of arterial blood pressure in a large male population group. Am J Epidemiol, 99(1):14-29, 1974. https://doi.org/10.1093/oxfordjournals.aje.a121580
  10. Sallis JM, Haskell WL, Wood PD, Fortmann SP, Vranizan KM. Vigorous physical activity and cardiovascular risk factors in young adults. J Chron Dis, 39:115-120, 1986. https://doi.org/10.1016/0021-9681(86)90067-6
  11. Manson JE, Stampfer MJ, Hemmekens CH. Body weight and longevity. A reassessment. JAMA, 257:353-358, 1987. https://doi.org/10.1001/jama.1987.03390030083026
  12. Powell KE. Thomson PD, Caspersen CJ, Kendrick JS. Physical activity and the incidence of coronary heart disease. Annu Rev Publ Health, 8:253-287, 1987. https://doi.org/10.1146/annurev.pu.08.050187.001345
  13. Ockene JK, Kuller LH, Svendsen KH, Meilahn E. The relationship of smoking cessation to coronary heart disease and lung cancer in the multiple risk factor intervention trial(MRFIT). Am J Public Hlth, 80:954-958, 1990. https://doi.org/10.2105/AJPH.80.8.954
  14. Anderson LB, Wedderkopp N, Hansen HS, Cooper AR, Froberg K. Biological cardiovascular risk factors cluster in Danish children and adolescents: The European youth heart study. Prev Med, 37:363-369, 2003. https://doi.org/10.1016/S0091-7435(03)00145-2
  15. Cho YC, Kwon IS, Park JY, Shin MW. Prevalence of metabolic syndrome and its associated factors among health checkup examinees in a university hospital. Journal of the Korea Academia-Industrial cooperation Society, 13(11):5317-5325, 2012. DOI: http://dx.doi.org/10.5762/KAIS.2012.13.11.5317
  16. Kim EK, Jeon DW,Chang EC, KIm SH, Choi HS. Effect of coffee and green tea consumption on liver enzyme and metabolic syndrome in Korean. Journal of the Korea Academia-Industrial cooperation Society, 13(6):2570-2578, 2012. DOI: http://dx.doi.org/10.5762/KAIS.2012.13.6.2570
  17. Bang SY, Cho IK. The Effects of menopause on the metabolic syndrome in Korean women. Journal of the Korea Academia-Industrial cooperation Society, 16(4):2704-2712, 2015. DOI: http://dx.doi.org/10.5762/KAIS.2015.16.4.2704
  18. Sower JR. Obesity as a cardiovascular risk factors. Am J Med, 115(8A):37-41, 2003. https://doi.org/10.1016/j.amjmed.2003.08.012
  19. Jeong JH, Park JJ, Choi JH, Kim DY, Yang JH. Evaluation of obesity and metabolic syndrome risk factors in college students. Journal of the Korea Academia-Industrial cooperation Society, 12(8):3579-3586, 2011. https://doi.org/10.5762/KAIS.2011.12.8.3579
  20. Goodman E, Dolan LM, Morrison JA, Daniels SR. Factor analysis of clustered cardiovascular risks in adolescence: obesity is the predominant correlate of risk among youth. Circulation, 111:1979-1977, 2005.
  21. Park HS, Lee MS, Park JY. Leptin and the metabolic syndrome in Korea adolescents: factor analysis. Prediatr Int, 46:697-703, 2004. https://doi.org/10.1111/j.1442-200x.2004.01984.x
  22. Oh JY, Hong YS, Sung YA. Barrett-Connor E. Prevalence and factor analysis of metabolic syndrome in an urban Korean population. Diabetes Care, 27:2027-2032, 2004. https://doi.org/10.2337/diacare.27.8.2027
  23. Choi KM, Lee J, Kim KB, Kim DR, Kim SK, Baik SH et al. South- west Seoul Study: Factor analysis of the metabolic syndrome among elderly Koreans- the South-west Seoul Study. Diabet Med, 20:99-104, 2003. https://doi.org/10.1046/j.1464-5491.2003.00890.x
  24. Meigs JB, D'Agostino RB Sr, Wilson PW, Cupples LA, Nathan DM, Snger DE. Risk variable clustering in the insulin resistance syndrome. The Framingham Offspring Study. Diabetes, 46:1594-1600. 1997. https://doi.org/10.2337/diacare.46.10.1594
  25. WHO. The Asia-Pacific Perspective: Redefining Obesity and Its Treatment. Sydney, Australia, Health Communications Australia Pty Ltd, 2000.
  26. Hsies SD, Yoshinaga H, Muto T, Sakurai Y, Kosaka K. Health risks among Japanese men with moderate body mass index. Int J Obes Relat Metab Disord, 24:358-62, 2000. https://doi.org/10.1038/sj.ijo.0801157
  27. National Cholesterol Education Program (NCEP). Expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (Adult Treatment Panel III). Circulation 106(25):3143-3421. 2002.
  28. Department of Health and Human Services. 2003 National Health and Nutrition Examination Survey of Korea. 2004.
  29. Yun KH. Ideal to treat a disease, a metabolic syndrome? Journal of the Korean Medical Association, 48(12):1179-1180, 2005. https://doi.org/10.5124/jkma.2005.48.12.1179
  30. Park HS, Shin HC, Kim BS, et al, Prevalence and Associated Factors of Metabolic Syndrome among Adults in Primary Care. Journal of Korean Society for the Study of Obesity, 12(2):108-123, 2003.
  31. Choi ES. The Metabolic Syndrome and Associated Risk Factors Among Male Workers in an Electronics Manufacturing Company. Annals of Occupational and Environmental Medicine, 18(1):35-45, 2005.
  32. Park HS, Oh SW, Kang JH, et al. Prevalence and Associated Factors with Metabolic Syndrome in South Korea -From the Korean National Health and Nutrition Examination Survey, 1998-. Journal of Korean Society for the Study of Obesity, 12(1):1-14, 2003.
  33. Lym YL Hwang SW, Shim HJ, Oh EH, Chang YS, Prevalence and Risk Factors of the Metabolic Syndrome as Defined by NCEP-ATP III " Journal of the Korean Academy of Family Medicine, 24(2), pp. 135-143, 2003
  34. Byun JS, Kim MJ, Hwang YW, Kim MJ, Kim SY, Hwang IH. The Usefulness of Waist/Height Ratio as an Obesity Index. J Korean Acad Fam Med, 25:307-13, 2004.
  35. Kannel WB, Gordon T, Castelli WP: Obesity, lipids and glucose intolerance, the Framingham study. Am J Clin Nutr, 32:1238-1245, 1979. https://doi.org/10.1093/ajcn/32.6.1238
  36. Kwon OH, Lee KM, No TM, et al. Cardiovascular risk factors in men with normal and overweight according to waist-to-height ratio. Korean Journal of Family Medicine, 22(12):1757-1764, 2001.
  37. Ko JY, Lee HL, Park SA, Lee SW, Lee HS. The usefulness of waist/height ratio as a predictor for the risk factors of coronary artery disease. J Korean Acad Fam Med, 9(9):719-27, 1998.