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Framingham Heart Study의 Heart Age Predictor를 활용한 한국인 심장나이 추이분석

Change Pattern of Heart Age in Korean Population Using Heart Age Predictor of Framingham Heart Study

  • 조상옥 (삼성서울병원 의무기록팀)
  • Cho, Sang Ok (Samsung Medical Center, Department of Medical Record)
  • 투고 : 2019.07.05
  • 심사 : 2019.08.02
  • 발행 : 2019.08.31

초록

본 연구는 Framingham Heart Study의 심장나이 예측 모형을 활용하여 심장나이의 추이를 관찰하여 한국인 심혈관질환 발생 위험을 평가해보고자 하였다. 연구대상은 2005년~2013년 국민건강영양조사 자료를 이용하여 30세~74세 대상자 중 심혈관질환 기왕력이 없고, 모형의 결정요인에 해당하는 자료의 결손이 없는 20,012명을 연구대상으로 하였다. 이들에 대해 Framingham Heart Study 비실험실 자료를 이용하는 심장나이 산정 모형을 적용하여 심장나이를 계산하였으며 성별로 심장나이와 실제나이와의 차이, 연령대별 차이, 10년 이상 초과율, 지역별 차이에 대해 연도별 추이를 관찰하였다. 자료분석은 SAS 9.3으로 수행하였으며 가중치를 적용한 복합표본설계분석을 수행하였다. 연구 결과 심장나이와 실제나이의 평균 차이는 남성은 2005년에 7.8세, 2013년 7.7세, 여성은 2005년 1.2세 2013년 1.2세로 남성이 여성보다 컸고, 연령대가 증가할수록 나이차이가 많아졌으며, 연도별로 뚜렷한 추이 변화는 없었다. 심장나이가 실제 나이보다 10년 이상 초과한 비율은 남성은 2005년에 35.0%, 2013년에 34.8%, 여성은 2005년에 17.7%, 2013년에 18.7%로 남성이 여성보다 거의 두 배 정도 높았으며 연령대가 증가할수록 차이가 많이 났다. 지역별로 차이를 보였으며 남녀 차이가 많았다. 본 연구결과로 볼 때 한국인의 10년 내 심혈관질환 발생 가능성은 상당히 높은 수준이었다. 본 연구에서 사용한 심장나이는 미래의 심혈관질환 발병 위험을 간단하고 편리하게 예측할 수 있는 유용한 종합 지표로 사용될 수 있으며, 이를 한국인 심혈관질환 예방을 위한 경고효과와 계도목적으로 현장에서 공중보건 관리에 활용되기를 제안한다. 한국형 심장나이 예측 모형의 개발을 위한 심층 연구도 필요하다.

The purpose of this study is to observe the trends of heart age of Koreans by using the predictor of heart age of the Framingham Heart Study. The subjects were 20,012 adults aged 30~74 years who were enrolled in the Korean National Health and Nutrition Examination Survey from 2005~2013. They filled in the determinants data and they had no history of cardiovascular disease (CVD). The heart age was calculated using a non-laboratory based model of prediction. The difference of heart age and chronological age, and the rate of excessive heart age over 10 years were calculated. The annual trend, the difference according to gender, the age bracket and geographic region, the heart age were all evaluated. Data analysis performed using the SAS program (version 9.3). Complex designed analysis was done. The heart age showed differences according to gender, age bracket and geographic region. The heart age is a useful comprehensive indicator for predicting the CVD events in the near future. So, it could be used for the purposes of exercising caution and guidance on CVD for administering medical care. It is strongly recommended to use heart age as an indicator for customized medical management to focus efforts on relatively vulnerable subjects and their factors for CVD. Further study on Koreans' customized heart age is needed.

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참고문헌

  1. WHO, The top 10 causes of death [cited 2018 May 24], Available From: https://www.who.int/news-room/fact-sheets/detail/the-top-10-causes-of-death (accessed April 1, 2019)
  2. KOSIS. Statistical Database. "Cause of death" From : http://kosis.kr/search/search.do
  3. D'Agostino RB Sr, Vasan RS, Pencina MJ, et al. "General Cardiovascular risk profile for use in primary care: the Framingham Heart Study" Circulation, Vol.118, pp.743-753, 2008. DOI: http://dx.doi.org/10.1161/CIRCULATIONAHA.107.699579
  4. CDC, "Prevalence of overweight and obesity among adults with diagnosed diabetes-United States, 1988-1994 and 1999-2002". MMWR Morb Mortal Wkly Rep, Vol.53, No.45, pp.1066-1068, 2004.
  5. CDC, "Prevalence of regular physical activity among adults-United states, 2001 and 2005". MMWR Morb Mortal Wkly Rep, Vol.56, No.46, pp.1209-1212, 2007.
  6. CDC, "Prevalence of fruit and vegetable consumption and physical activity by race/ethnicity United States, 2005". MMWR Morb Mortal Wkly Rep Vol.56, No.13, pp.301-304, 2007.
  7. Grundy SM, Balady GJ, Criqui MH. "Guide to primary prevenion of cardiovascular disease: a statement for healthcare professionals from the Task Force on risk reduction. American Heart Association Science Advisory and Coordinating committee." Circulatiion, Vol.95, 2329-2331, 1997. DOI: http://dx.doi.org/10.1161/01.CIR.95.9.2329
  8. Thomas AP, Steven NB, Stephen RD, Robert HE, Joan MF, et al. "AHA Guidelines for primary Prevention of Cardiovascular Disease and Stroke: 2002 Update Consensus Panel Guide to Comprehensive Risk Reduction for Adults patients without coronary or other Atherosclerotic Vascular Diseases". Circulation, Vol.106, pp.388-391, 2002. DOI: http://dx.doi.org/10.1161/01.CIR.0000020190.45892.75
  9. Stampfer MJ, Hu FB, Manson JE, "primary prevention of coronary heart disease in woman through diet and life style". N Engl L Med, Vol.343, pp.16-22, 2000. DOI: http://dx.doi.org/10.1056/NEJM200007063430103
  10. Quanhe Yang, PhD1; Yuna Zhong, MSPH1; Matthew Ritchet, DPT1; Mark Cobain, PhD2; Cathleen Gillespie, MS1, et al, "Vital Signs: Predicted Heart Age and Racial Disparities in Heart Age Among U.S. Adults at the State Level", CDC Morbididty and Mortality Weekly Report(MMWR), Vol64, No.34, pp.950-958, DOI: http://dx.doi.org/10.15585/mmwr.mm6434a6
  11. Heejune Han, "If the heart age is 10 years older than the chronological age, the incidence of cardiovascular disease increases by 75%.". chosunilbo, 16:A27, Sep. 2015. Available From: http://srchdb1.chosun.com/pdf/i_service/pdf_ReadBody.jsp?Y=2015&M=09&D=16&ID=2015091600093 (accessed Oct. 10, 2016)
  12. Chung-soon Kim. "Analysis of epidemiologic characteristics and risk factors of hypertension and cardiovascular disease". Journal of lipid and atherosclerosis, Vol.10, No.2, pp.239-243, 2000.
  13. Jee SH. "Genetic and environmental effects of cardiovascular risk factors". Journal of lipid and atherosclerosis, Vol.11, No.3, pp.387-390, 2001.
  14. Jongwon Choi, Jungjin Cho, Hyemi Jang, et al. "The relationship between depression and cardiovascular risk factors in a worker who was screened at a university hospital". KJFM Vol.29, No.9,pp.645-650, 2008. DOI: http://www.ndsl.kr/ndsl/search/detail/article/articleSearchResultDetail.do?cn=ART001277545
  15. In-Yong UM, won-jun Choi, Deul Lee, Jae-Seok Oh, Min-Kee Yi, et al. "Risk Assessment for Cardiovascular diseases in Male Workers: Comparing KOSHA Guidelines and the Framingham Risk Score system"Korean J Occup Ennnviron Med., Vol.24, No.4, pp.365-374, Dec. 2012. DOI: http://www.ndsl.kr/ndsl/search/detail/article/articleSearchResultDetail.do?cn=ART001736113 https://doi.org/10.35371/kjoem.2012.24.4.365
  16. Jingu Lee, Woojin Jeon, Jaehwan Cho, "Factor Analysis of effect on Cardiova-scular Disease of Korean Police Officers", J. Korean Soc. Radiol., Vol. 8, No.1, pp.11-18, Jan. 2014. DOI: http://www.ndsl.kr/ndsl/search/detail/article/articleSearchResultDetail.do?cn=JAKO201405262619580 https://doi.org/10.7742/jksr.2014.8.1.11
  17. W.B. Pyun. "Primary Prevention of Cardiovascular Disease", KJFM, Vol.23, No.12, pp.1405-1411, 2002. DOI: http://www.ndsl.kr/ndsl/search/detail/article/articleSearchResultDetail.do?cn=ART000869557
  18. SinGon Kim, DongSeop Choi, "The Present State of Diabetes Mellitus in Korea", J Korean Med Assoc, Vol.51, No.9, pp.791-798, 2008. DOI: http://www.ndsl.kr/ndsl/search/detail/article/articleSearchResultDetail.do?cn=NART50312200 https://doi.org/10.5124/jkma.2008.51.9.791
  19. Soongyo Yeoum. "The Investigation on The Risk Factors of Cardiovascular Disease for Postmenopausal Women Over 50 Years", Journal of menopausal medicine, Vol.9, No.3, pp.266-272, 2003.
  20. Assmann G, Cullen P, Schulte H. "Simple scoring scheme for calculating the risk of acute coronary events base on the 10-year follow of the Prospective Cardiovascular Monster (PROCAM) study". Circulation, Vol.105, pp.301-315, 2002. DOI: http://dx.doi.org/10.1161/hc0302.102575
  21. Marcco Rerrariioo, Paolo Chiodini, Lloyd E Chambless, Giancarlo Cesana, diego Vanuzzo, Salvaltore Panico, Roberto Sega, Lorenza Pilotto, Luigi Palmieri and Simona Giampaoli for the CUORE Project Research Group. "Prediction of Corenary events in low incident poplulation. Accuray of the CUORE Cohort Study predictiion equation". Intl J Epidemiol., Vol.34, pp.413-421, 2005. DOI: http://dx.doi.org/10.1093/ije/dyh405
  22. Conroy RM., Conroy RM., Pyoraala K., Fitzgerald AP., et al. "Estimation of ten-year risk of fatal cardiovascular disease in Europe: the SCORE project", Eur Heart Jr, Vol.24, pp.987-1003, 2003. DOI:http://dx.doi.org/10.1016/S0195-668X(03)00114-3
  23. Liu J. Hong Y, D'Agostino RB Sr, Wu Z, Wang W, Sun J, Kannel WB, zhao D. "Predictive value for the Chinese population Framingham CHD risk assessment tool compared with Chinese Provincial Cohort study", JAMA, Vol.291, pp.2591-2599, 2004. DOI: http://dx.doi.org/10.1001/jama.291.21.2591
  24. Jee SH, G David Batty, Jang yangsoo, et al. The Korean heart study: "rationale, objectives, and preliminary results for a new prospective cohort study of 430,920 men and women". Eur J Prev Cardiology, Vol.21, No.12, pp.1484-1492, 2014. DOI: http://dx.doi.org/10.1177/2047487313497602