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The Prevalence of Metabolic Syndrome and Related Risk Factors Based on the KNHANES V 2010

제 5기 국민건강영양조사로 추정한 한국 성인의 대사증후군 유병률과 관련 요인

  • Park, Eunok (College of Nursing, Jeju National University) ;
  • Choi, Su Jung (Samsung Medical Center, Sungkyunkwan University) ;
  • Lee, Hyo Young (Health Administration Department, Dongseo University)
  • 박은옥 (제주대학교 간호대학) ;
  • 최수정 (성균관대학교 삼성서울병원) ;
  • 이효영 (동서대학교 보건행정학과)
  • Received : 2012.08.17
  • Accepted : 2013.02.04
  • Published : 2013.03.31

Abstract

Objectives: This study is to investigate the prevalence and related factors of metabolic syndrome among Korean adults aged 20 years and above. Methods: From the database of the $5^{th}$ Korea National Health and Nutrition Examination Survey (KNHANES V) conducted in 2010, data of 5,670 adults who responded to all the questionnaires of health interview and had metabolic syndrome in the health examination were included in this analysis. SAS 9.2 was used for statistical analysis with complex sample survey modules and commands. Results: The prevalence rate of metabolic syndrome based on the criteria proposed by International Diabetes Federation (IDF) was 18.8%. The prevalence of metabolic syndrome in each group was: 20.7% of women, 43.1% among elderly over 70 years old, 40.6% of the divorced or the separated, 27.6% of recipients of economic support from the government, 23.6% of people who had alcohol dependency problem, and 43.7% of overweight or obese adults. Independent risk factors based on the multiple logistic regression analysis revealed that prevalence of metabolic syndrome was associated with female (odds ratio 1.59 [95% confidence interval 1.20-2.11]), age (50s 3.95 [2.11-7.37], 60s 5.62 [2.98-10.61], 70s 10.56 [5.25-21.25]), high school education (0.52 [0.37-0.74]), clerk occupation (2.14 [1.27-3.60]), divorced marital status (1.72 [1.15-2.59]), alcohol dependency (1.86 [1.16-2.98]), higher BMI (14.08 [10.60-18.70]). Conclusions: The metabolic syndrome is prevalent among Korean adult population according to IDF criteria. Several demographic characteristics and potentially modifiable factors are associated with metabolic syndrome. Identification of this high-risk group and management of these modifiable factors are warranted to reduce the prevalence of metabolic syndrome.

본 연구에서는 국민건강영양조사자료를 이용하여 IDF 기준에 의한 우리나라 20세 이상 성인의 대사증후군 유병률과 관련 요인을 규명하고자 시행되었다. 2010년 제5차 국민건강영양조사에 참여한 5670명의 자료를 이용하였다. 본 연구에서 자료 분석은 SAS 9.2 통계분석프로그램을 사용하였으며, 분석 시 복합표본설계를 이용하여 표본추출한 자료에 적용하는 SAS 명령어를 사용하였으며, 표본 추출률을 반영한 설계가중치, 무응답률, 사후 층화, 극단 가중치 처리단계를 거쳐 최종 산출된 개인가중치를 모두 적용하였다. 인구학적 특성, 생활습관, 가족력 등에 따른 모집단의 대사증후군의 유병률 추정치와 집단간 유병률의 차이를 비교하였고, 대사증후군 관련 요인을 파악하기 위하여 교차비 추정치와 이의 95% 신뢰구간을 구하였다. 우리나라 성인의 대사증후군 유병률은 18.8%였다. 인구학적 특성별로 대사증후군 유병률을 살펴보면, 남성 16.8%, 여성 20.7%였다. 20대 연령은 4.5%, 70대는 43.1%로 연령이 많을수록 대사증후군 유병률은 유의하게 높았으며, 교육수준이 초등학교인 경우 38.0%, 대학교 졸업은 12.9%로 교육수준이 낮을수록 대사증후군 유병률이 높았다. 전문관리직인 경우에 12.8%, 농업 및 단순 노무직인 경우 20.4%, 무직인 경우 21.8%로 직업에 따라 대사증후군 유병률에 차이가 있었고, 미혼인 경우 대사증후군 유병률은 5.5%로 가장 낮고, 이혼 또는 별거인 경우는 대사증후군 유병률이 40.6%였다. 알코올 의존문제가 있는 경우 23.6%의 대사증후군 유병률을 보였고, 체질량 지수가 25이상인 경우에 대사증후군은 43.7%로 나타났다. 대사증후군 유병률에 대한 교차비와 95% 신뢰구간을 살펴보면, 여성의 교차비가 1.59(1.20-2.11), 20대 연령집단을 기준으로 하였을 때, 50대의 교차비가 3.95(2.11-7.37), 60대는 5.62(2.98-10.61), 70세 이상은 10.56(5.25-21.25)으로 나타났다. 초졸 학력에 비해 고졸학력의 교차비가 0.52(0.37-0.74), 사무직이 전문직과 비교하여 2.14(1.27-3.60), 기혼자에 비해 이혼하거나 별거중인 군의 교차비가 1.72(1.15-2.59), 알코올 의존문제가 있는 경우 교차비가 1.86(1.16-2.98), 비만군이 정상 체중군과 비교하여 14.08(10.62-18.70)으로 유의한 관련성을 보였다. 그 외에 다른 요인들에 의한 대사증후군 유병위험은 통계적으로 유의하지 않았다. 본 연구는 IDF 기준을 적용하여 우리나라 성인의 대사증후군 유병률과 대상자의 특성에 따라 대사증후군 유병률을 파악하고, 교차비를 산출하여 관련요인을 확인하였다는 점에서 의미가 있다. 향후 연구에서는 여러 가지 대사증후군 진단기준을 적용하여 우리나라와 다른 나라의 대사증후군 유병률과 관련요인을 비교하고 우리나라 인구집단에 더 적합한 진단기준이 무엇인지를 확인하는 연구가 필요할 것으로 사료된다. 또한 본 연구는 단면조사 자료를 이용한 분석이므로 대사증후군 관련 요인은 시간적 전후관계를 파악할 수 없었다. 향후 연구에서 전향적 조사 자료를 이용할 필요가 있다고 사료되며, 생활습관을 보다 정확하게 평가할 수 있는 도구를 이용하여 측정할 것을 제안한다.

Keywords

References

  1. Zimmet P, Alberti G, Shaw J. A new IDF worldwide definition of the metabolic syndrome: the rationale and the results. Diabetes Voice 2005;50(3):31-33
  2. Gupta AK, Dahlof B, Sever PS, Poulter NR. Metabolic syndrome, independent of its components, is a risk factor for stroke and death but not for coronary heart disease among hypertensive patients in the ASCOTBPLA. Diabetes Care 2010;33(7):1647-1651 https://doi.org/10.2337/dc09-2208
  3. Korea National Statistics Office. Death statistics in 2011. Daejeon: Korea National Statistical Office.
  4. International Diabetes Federation. The IDF consensus worldwide definition of the metabolic syndrome. Brussels, IDF Communications, 2006, pp. 1-24
  5. Lee SJ. The analysis of relationship between lifestyle factors metabolic syndrome in male adult [dissertation]. Sungshin Women's University, 2010 (Korean)
  6. Lee EH, Cho S, Kwon EJ, Hyun SM, Park JY, Kim M. Prevalence and related factors of metabolic syndrome among Korean older adults. J Korean Soc Health Edu Promotion 2009;26(4):129-143 (Korean)
  7. Kang MS. The prevalence and risk factors of metabolic syndrome in Korea [dissertation]. Inje University, 2005 (Korean)
  8. Ji SH, Lee EH, Kim HK, Yoon SJ, Lee YH, Moon SY. Development of lifestyle intervention program for the prevention and treatment of the metabolic syndrome. Yonsei University, Supporting center for health promotion fund, 2007, p. 23 (Korean)
  9. Kim M, Lee H, Park H, Kim W. Risk factors associated with metabolic syndrome in Korean elderly. Ann Nutr Metab 2007;51(6):533-540 https://doi.org/10.1159/000112977
  10. Yoo JS, Jeong JI, Park CG, Kang SW, Ahn JA. Impact of life style characteristics on prevalence risk of metabolic syndrome. J Korean Acad Nurs 2009;39(4):594-601 (Korean) https://doi.org/10.4040/jkan.2009.39.4.594
  11. Lee JS, Jeong MH, Lee MS, Yu BC, Lee YH. Comparison of the prevalence of the metabolic syndrome using two proposed definitions. Kosin Medical Journal 2007;22(1):34-42 (Korean)
  12. 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(19):2486-2497 https://doi.org/10.1001/jama.285.19.2486
  13. Grundy SM, Cleeman JI, Daniels SR, et al. Diagnosis and management of the metabolic syndrome: an American Heart Association/ National Heart, Lung, and Blood Institute Scientific Statement. Circulation 2005;112(17): 2735-2752 https://doi.org/10.1161/CIRCULATIONAHA.105.169404
  14. Ryu M. Prevalence of metabolic syndrome according to different definitions of metabolic syndrome and its effect on the risk of cardiovascular disease [dissertation]. Yonsei University, 2010 (Korean)
  15. Alberti KG, Zimmet P, Shaw J. Metabolic syndrome-a new world-wide definition. A Consensus Statement from the International Diabetes Federation. Diabetic Medicine 2006;23(5):469-480 https://doi.org/10.1111/j.1464-5491.2006.01858.x
  16. Ministry of Health and Welfare Korea Center for Disease Control and Prevention. Korea Health Statistics 2010: Korean National Health and Nutrition Examination Survey (KNHANES V-1). 2011 Dec [cited 2012 Jun 5] Available from : URL: http://knhanes.cdc.go.kr/
  17. Ministry of Health and Welfare Korea Centers for Disease Control and Prevention. The Fifth Korea National Health and Nutrition Examination Survey Guide Book (KNHANES V 2010-2012) 2010 Jan [cited 2012 Jun 5] Available from : URL: http://knhanes.cdc.go.kr/
  18. Babor TF, Higgins-Biddle JC, Saunders JB, Monteiro MG. The alcohol use disorders identification ters: guidelines for use in primary care. Geneva, World Health Organization, 2001, pp 5-41
  19. Ford ES. Prevalence of the metabolic syndrome defined by the International Diabetes Federation among adults in the U.S. Diabetes Care 2005;28(11):2745-2749 https://doi.org/10.2337/diacare.28.11.2745
  20. Lim H, Nguyen T, Choue R, et al. Sociodemographic disparites in the composition of metabolic syndrome components among adults in South Korea. Diabetes Care 2012;35(10):2028-2035 https://doi.org/10.2337/dc11-1841
  21. Oka R, Kobayashi J, Yagi K, et al. Reassessment of the cutoff values of wast circumference and visceral fat area for identifying Japanese subjects at risk for the metabolic syndrome. Diabetes Resd Clin Pract 2008;79(3):474-481 https://doi.org/10.1016/j.diabres.2007.10.016
  22. Ervin RB. Prevalence of metabolic syndrome among adults 20 years of age and over, by sex, age, race and ethnicity, and body mass index: United States, 2003-2006. Natl Health stat Report 2009;13:1-7
  23. Kang HM, Kim DJ. Gender differences in the association of socioeconomic status with metabolic syndrome in middle-aged koreans. The Korean Journal of Medicine 2012;82(5):569-575 (Korean) https://doi.org/10.3904/kjm.2012.82.5.569
  24. Park HS, Oh SW, Choi SI, Choi WH, Kim YS. The metabolic syndrome and associated lifestyle factors among South Korean adults, Int J Epidemiol 2004;33(2):328-336 https://doi.org/10.1093/ije/dyh032
  25. Lee S. Variety of educational achievement and occupational experience among babyboomer generation. Monthly Labor Review, 2011;71:38-49(Korean)
  26. Na DW, Jeong E, Noh EK, Chung JS, Choi CH, Park J. Dietary factors and metabolic syndrome in middle-aged men. J Agr Med Commun Health 2010;35(4):383-394 (Korean) https://doi.org/10.5393/JAMCH.2010.35.4.383
  27. Lee K, Gender-specific relationships between alcohol drinking patterns and metabolic syndrome: the Korea National Health and Nutrition Examination Survey 2008, Public Health Nutr 2012;15(10):1917-1924 https://doi.org/10.1017/S136898001100365X
  28. Sinclair KA, Bogart A, Buchwald D, Henderson JA. The prevalence of metabolic syndrome and associated risk factors in Northern Plains and Southwest American Indians. Diabetes Care 2011;34(1):118-120 https://doi.org/10.2337/dc10-0221

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