DOI QR코드

DOI QR Code

Convergence Exploration for Predictors of the Cardiovascular Disease Risk

한국 성인 남성의 심혈관질환 위험에 대한 예측 요인의 융복합적 탐색

  • Received : 2017.11.26
  • Accepted : 2018.02.20
  • Published : 2018.02.28

Abstract

This study aimed to identify the risk factors for cardiovascular disease (CVD) among age groups using the Framingham risk score (FRS). The research design used was a cross sectional descriptive study using the Sixth Korean National Health and Nutrition Examination Survey from 2013-2015. Data from 5211 men, between the ages of 30-74 was analyzed. After adjusting for age, the result of logistic regression analysis showed that obesity (OR=2.51 95% CI=2.05-3.07), physical inactivity (OR=1.71, 95% CI=1.39-2.10), heavy alcohol drinking (OR=1.33, 95% CI=1.09-1.62), and dietary fiber intake (OR=0.99, 95% CI=0.98-0.99) were presented as predictors of CVD. Obesity was considered to be a particularly important predictor of CVD for young and middle-aged men. This result will be used for developing intervention relating to lifestyle modification for young and middle-aged men.

본 연구의 목적은 Framingham risk score (FRS)를 이용하여 연령군에 따른 심혈관질환의 위험요인을 규명하는 것이다. 본 연구는 국민건강영양조사 제 6기(2013-2015) 자료 중 30-74세 남성 5211명의 자료를 분석한 서술적 횡단연이다. 연령을 통제한 회귀분석 결과 심혈관질환은 정상군에 비해 비만군이 2.5배(OR=2.51, 95% CI=2.05-3.07), 신체활동을 하지 않는 군이 1.7배 (OR=1.71, 95% CI=1.39-2.10), 과음하는 군이 1.3배 (OR=1.33, 95% CI=1.09-1.62) 높게 나타났고 식이섬유 섭취량이 적을수록(OR=0.99, 95% CI=0.98-0.99) 심혈관질환 위험이 높은 것으로 나타났다. 특히 비만은 청년 및 중년 남성의 중요한 예측요인으로 분석되어 향후 본 연구결과는 심혈관질환의 잠재적 위험군인 청년 및 중년 남성을 대상으로 체중감소, 신체활동증가와 같은 생활습관을 변화시키는 교육 및 중재 프로그램 개발에 활용될 것이다.

Keywords

References

  1. Korea National Statistical Office. (2016). The statistical result about cause of death. Daejeon: Statistics Korea. Available From: http://www.index.go.kr/potal/main/ EachDtlPageDetail.do?idx_cd=1012 (accessed September 20 2017)
  2. Korea Centers for Disease Control and Prevention. (2016). 2015 Statistics about health behavior and chronic disease. Daejeon: Statistics Korea. Available From:http://cdc.go.kr/CDC/contents/CdcKrContentView.jsp?cid=60949&menuIds=HOME001-MNU1130-MNU163 9-MNU1749-MNU1761 (accessed September 20 2017)
  3. National Center for Health Statistics. (2016). Health, United States, 2016 with chartbook on long-term trends in health. Atlanta: National Center for Health Statistics. Available From: https://www.cdc.gov/nchs/hus/index.htm (accessed September 20 2017)
  4. A. S. Go, D. Mozaffarian, V. L. Roger, E. J. Benjamin, J. D. Berry & M. J. Blaha.(2014). Heart Disease and stroke statistics-2014 update: A report from the American Heart Association. Circulation, 129(3), e28-e292, DOI : 10.1161/01.cir.0000441139.02102.80
  5. N. Townsend, M. Nichols, P. Scarborough & M. Rayner. (2015). Cardiovascular disease in Europe— epidemiological update 2015. European Heart Journal, 36, 2696-2705. DOI : 10.1093/eurheartj/ehv428
  6. S. M. Grundy, R. Pasternak, P. Greenland, S. Smith & V. Fuster. (1999). Assessment of cardiovascular risk by use of multiple-risk-factor assessment equations. Circulation, 100, 1481-1492. DOI : 10.1016/s0735-1097(99)00387-3
  7. K. O. Park & S. Y. Hwang. (2015). 10-year risk for cardiovascular disease among male workers in small-sized industries. Journal of Cardiovascular Nursing, 30(3), 267-273. DOI : 10.1097/JCN.0000000000000146
  8. F. Atsma, M. Bartelink, D. Grobbee & Y. Schouw. (2006). Postmenopausal status and early menopause as independent risk factors for cardiovascular disease: A meta-analysis. The Journal of The North American Menopause Society, 13(2), 265-279. DOI : 10.1097/01.gme.0000218683.97338.ea
  9. L. Mosca, E. J. Benjamin, K, Berra, J. L. Bezanson, R. J. Dolor & D. M. Lloyd-Jones. (2011). Effectiveness-based guidelines for the prevention of cardiovascular disease in women-2011 update a guideline from the American Heart Association. Circulation, 123, 1243-1262. DOI : 10.1161/CIR.0b013e31820faaf8
  10. E. S. Yi. (2017). The physical activity and smart health care of trend for the elderly. Journal of Digital Convergence, 15(8), 511-516. DOI : 10.14400/JDC. 2017.15.8.511
  11. H. Kim, J. S. Choi, & E. H. Hwang. (2017). Effect of smart phone video educational program on disease-related knowledge and anxiety in patients with coronary artery disease. Journal of Digital Convergence, 5(5), 391-400. DOI : 10.14400/JDC.2017.15.5.391
  12. B. Hildrum, A. Mykletun, A. A. Dahl & K. Midthjell. (2009). Metabolic syndrome and risk of mortality in middle-aged versus elderly individuals: The Nord-Trondelag health study (HUNT). Diabetologia, 52, 583-590. DOI :10.1007/s00125-009-1271-5
  13. K. Liu, M. L. Daviglus, C. M. Loria, L. A. Colangelo, B. Spring, A. C. Moller & D. M. Lloyd-Jones. (2012). Healthy lifestyle through young adulthood and the presence of low cardiovascular disease risk profile in middle age: The coronary artery risk development in young adults (CARDIA) study. Circulation, 125, 996-1004. DOI : 10.1161/CIRCULATIONAHA.111.060681
  14. K. O. Park & J. Y. Seo. (2017). Gender differences in factors influencing the Framingham risk score-coronary heart disease by BMI. Korean Academy of Community Health Nursing. 25(4), 248-258. DOI : 10.12799/jkachn.2014.25.4.248
  15. N. C. Barengoa, G. Hub, T. A. Lakkaa, H. Pekkarinene, A. Nissinenb & J. Tuomilehtob. (2004). Low physical activity as a predictor for total and cardiovascular disease mortality in middle-aged men and women in Finland. European Heart Journal, 25, 2204-2211. DOI : 10.1016/j.ehj.2004.10.009
  16. M. N. Vranian, T. Keenan, M. J. Blaha, M. G. Silverman, E. D. Michos & C. M. Minder. (2013). Impact of fitness versus obesity on routinely measured cardiometabolic risk in young, healthy adults. American Journal Cardiology, 111, 991-995. DOI : 10.1016/j.amjcard.2012.12.022
  17. Korea Centers for Disease Control and Prevention.(2017). The Sixth Korea National Health and Nutrition Examination Survey (KNHANES VI). Daejeon: Statistics Korea. Available From:http://cdc.go.kr/CDC/contents/CdcKrContentView.jsp?cid=60942&menuIds=HOME001-MNU1130-MNU163 9-MNU1748-MNU1754(accessed June 10 2017).
  18. National Institute Alcohol Abuse and Alcoholism.(2013). Alcohol screening and brief intervention for youth. Rockville: NIAAA Publication and Distribution Center. Available from: http://pubs.niaaa.nih.gov/publications/Practitioner/Youth Guide/YouthGuideOrderForm.htm(accessed April 30 2017).
  19. M. Ko, M. T. Kim & J. J. Nam. (2006). Assessing risk factors of coronary heart disease and its risk prediction among Korean adults: The 2001 Korea national health and nutrition examination survey. International Journal of Cardiology. 110, 184-190. DOI : 10.1016/j.ijcard.2005.07.030
  20. I. Y. Um, W. J. Choi, D. Lee, J. S. Oh, M. K. Yi & J. W. Yoon. (2012). Risk assessment for cardiovascular diseases in male workers: Comparing KOSHA guidelines and the Framingham risk score system. Korean Journal Occupational Environment Medicine, 24(4), 365-374.
  21. Korea Centers for Disease Control and Prevention.(2011). Korea Health Statistics 2010 : Korea National Health and Nutrition Examination Survey. Daejeon: Statistics Korea. Available From:http://cdc.go.kr/CDC/contents/CdcKrContentView.jsp?cid=60949&menuIds=HOME001-MNU1130-MNU1639-MNU1749-MNU1761(accessed June 10 2017).
  22. D. M. Tran & L. M. Zimmerman(2015). Cardiovascular risk factors in young adults: A literature review. Journal of Cardiovascular Nursing, 30, 298Y310. DOI : 10.1097/JCN.0000000000000150
  23. M. Suka, Y. Miwa, Y. Ono & H. Yanagisawa. (2012). Impact of weight gain on cardiovascular risk factors in Japanese male worker. Journal Occupational Environment Medicine, 54, 1288-1292. DOI : 10.1097/jom.0b013e31825cb669
  24. L. Byberg, H. Melhus, R. Gedeborg, J. Sundström, A. Ahlbom & B. Zethelius. (2009). Total mortality after changes in leisure time physical activity in 50 year old men: 35 year follow-up of population based cohort. BMJ. 338, b688. DOI : 10.1136/bmj.b688
  25. G. L. Chiva-Blanch, S. Arranz, R. M. Lamuela-Raventos & R. Estruch. (2013). Effects of wine, alcohol and polyphenols on cardiovascular disease risk factors: evidences from human studies. Alcohol and Alcoholism. 48(3), 270-277. DOI : 10.1093/alcalc/agt007.
  26. S. E. Brien, P. E. Ronksley, B. J. Turner, K. J. Mukamal & W. A. Ghali. (2011). Effect of alcohol consumption on biological markers associated with risk of coronary heart disease: systematic reviewand meta-analysis of interventional studies. BMJ. 342, d636. DOI : 10.1136/bmj.d636
  27. K. A. Ahn, E. J. Yun, E. R. Cho, C. M. Nam, Y. Jang & S. H. Jee. (2006). Framingham equation model overestimates risk of ischemic heart disease in Korean men and women. Korean Journal Epidemiology. 28, 162-170.