본문 바로가기
KERD
논문KCI 등재

한국 성인의 성별에 따른 심혈관질환 발생 위험요인: 한국인유전체역학조사자료를 활용하여

Gender-specific Risk Factors for Cardiovascular Disease in Korean Adults: Based on Korean Genome and Epidemiology Study (KoGES)

이예슬|정혜선|이윤주
간호과학연구소 (Research Institute of Nursing Science)|2023.07|글로벌 건강과 간호 (Global Health and Nursing)|제13권 제2호|pp. 89-100|DOI 10.35144/ghn.2023.13.2.89

1

조회

0

다운로드

0

인용

0

참고문헌

키워드

SmokingCardiovascular diseasesDiabetes mellitusDyslipidemiasWaist circumference
주제분류간호학

초록

Purpose: This study aimed to determine the cumulative incidence of cardiovascular disease in Korean adults adults while specifically examining the proportional risk influenced by gender. Methods: This study adopted a longitudinal design and utilized secondary data extracted from the Korea Genomics and Epidemiology Study (KoGES). Data from 7,988 adults followed every two years from 2001 to 2014 were used for this study. The outcome variable was cardiovascular disease, and the predictive variables were age, total cholesterol, HDL-C, triglyceride, blood pressure, waist circumference, diabetes, and current smoking status. Statistical analysis, including descriptive statistics, difference tests, and Cox proportional hazards regression, was performed using IBM SPSS statistics version 24. Results: During the observation period, the incidence of cardiovascular disease was 327 men and 359 women. The factors that increased the risk of cardiovascular disease in men were diabetes (HR=1.91, 95% CI: 1.35~2.72), stage 2 hypertension (HR=1.69, 95% CI: 1.13~2.52), and stage 1 hypertension (HR=1.57, 95% CI: 1.15~2.13), waist circumference (HR=1.54, 95% CI: 1.21~1.97), and total cholesterol 200~ 239mg/dL (HR=1.38, 95% CI: 1.08~1.76). Factors with a high risk of cardiovascular disease in women were stage 2 hypertension (HR=2.69, 95% CI: 1.88~3.85), diabetes (HR=2.19, 95% CI: 1.48~3.24), and elevated blood pressure (HR=2.13, 95% CI: 1.41~3.21), and smoking (HR=1.59, 95% CI: 1.01~2.51). Conclusion: To prevent cardiovascular disease, the management of diabetes and abdominal obesity should be prioritized. Additionally, managing dyslipidemia among men and implementing smoking cessation interventions for women who smoke should be included in prevention strategies.

Abstract

Purpose: This study aimed to determine the cumulative incidence of cardiovascular disease in Korean adults adults while specifically examining the proportional risk influenced by gender. Methods: This study adopted a longitudinal design and utilized secondary data extracted from the Korea Genomics and Epidemiology Study (KoGES). Data from 7,988 adults followed every two years from 2001 to 2014 were used for this study. The outcome variable was cardiovascular disease, and the predictive variables were age, total cholesterol, HDL-C, triglyceride, blood pressure, waist circumference, diabetes, and current smoking status. Statistical analysis, including descriptive statistics, difference tests, and Cox proportional hazards regression, was performed using IBM SPSS statistics version 24. Results: During the observation period, the incidence of cardiovascular disease was 327 men and 359 women. The factors that increased the risk of cardiovascular disease in men were diabetes (HR=1.91, 95% CI: 1.35~2.72), stage 2 hypertension (HR=1.69, 95% CI: 1.13~2.52), and stage 1 hypertension (HR=1.57, 95% CI: 1.15~2.13), waist circumference (HR=1.54, 95% CI: 1.21~1.97), and total cholesterol 200~ 239mg/dL (HR=1.38, 95% CI: 1.08~1.76). Factors with a high risk of cardiovascular disease in women were stage 2 hypertension (HR=2.69, 95% CI: 1.88~3.85), diabetes (HR=2.19, 95% CI: 1.48~3.24), and elevated blood pressure (HR=2.13, 95% CI: 1.41~3.21), and smoking (HR=1.59, 95% CI: 1.01~2.51). Conclusion: To prevent cardiovascular disease, the management of diabetes and abdominal obesity should be prioritized. Additionally, managing dyslipidemia among men and implementing smoking cessation interventions for women who smoke should be included in prevention strategies.

참고문헌 (37)

  1. (2020)[URL]
  2. Jae-Seung Yun, "Associations between polygenic risk of coronary artery disease and type 2 diabetes, lifestyle, and cardiovascular mortality: A prospective UK Biobank study", Frontiers in Cardiovascular Medicine, 9 (2022), Frontiers Media SA[DOI]
  3. 윤재문, "한국인의 심뇌혈관질환 위험도 예측 및 활용: 국가건강검진 건강위험평가를 중심으로", 대한의사협회지, 60(9), pp.746~752 (2017), 대한의사협회[DOI]
  4. Alexander Pate, "The uncertainty with using risk prediction models for individual decision making: an exemplar cohort study examining the prediction of cardiovascular disease in English primary care", BMC Medicine, 17(1), pp.134~ (2019), Springer Science and Business Media LLC[DOI]
  5. Ian M. Graham, "New Way to “SCORE” Risk: Updates on the ESC Scoring System and Incorporation into ESC Cardiovascular Prevention Guidelines", Current Cardiology Reports, 24(11), pp.1679~1684 (2022), Springer Science and Business Media LLC[DOI]
  6. Ahmed M. Alaa, "Cardiovascular disease risk prediction using automated machine learning: A prospective study of 423,604 UK Biobank participants", PLOS ONE, 14(5), pp.e0213653~ (2019), Public Library of Science (PLoS)[DOI]
  7. Ralph B. D’Agostino, "General Cardiovascular Risk Profile for Use in Primary Care", Circulation, 117(6), pp.743~753 (2008), Ovid Technologies (Wolters Kluwer Health)[DOI]
  8. SCORE2 working group and ESC Cardiovascular risk collaboration, "SCORE2 risk prediction algorithms: new models to estimate 10-year risk of cardiovascular disease in Europe", European Heart Journal, 42(25), pp.2439~2454 (2021), Oxford University Press (OUP)[DOI]
  9. Keum Ji Jung, "The ACC", AHA 2013 pooled cohort equations compared to a Korean Risk Prediction Model for atherosclerotic cardiovascular disease, 2015, pp.242(1), 367~375[DOI]
  10. 배재현, "Validation of Risk Prediction Models for Atherosclerotic Cardiovascular Disease in a Prospective Korean Community-Based Cohort", Diabetes and Metabolism Journal, 44(3), pp.458~469 (2020), 대한당뇨병학회
  11. K.G.M.M. Alberti, "Harmonizing the Metabolic Syndrome", Circulation, 120(16), pp.1640~1645 (2009), Ovid Technologies (Wolters Kluwer Health)[DOI]
  12. 김경곤, "Evaluation and Treatment of Obesity and Its Comorbidities: 2022 Update of Clinical Practice Guidelines for Obesity by the Korean Society for the Study of Obesity", Journal of Obesity & Metabolic Syndrome, 32(1), pp.1~24 (2023), 대한비만학회[DOI]
  13. Jialal I, "Comparison of the triglyceride-waist circumference and the C-reactive protein-waist circumference indices in nascent metabolic syndrome", International Journal of Physiology, Pathophysiology and Pharmacology, 13(5), pp.126~131 (2021)
  14. Io Ieong Chan, "The total and direct effects of systolic and diastolic blood pressure on cardiovascular disease and longevity using Mendelian randomisation", Scientific Reports, 11(1), pp.21799~ (2021), Springer Science and Business Media LLC[DOI]
  15. (2022)[URL]
  16. Ana Catarina Pinho-Gomes, "Sex differences in prevalence, treatment and control of cardiovascular risk factors in England", Heart, 107(6), pp.462~467 (2020), BMJ[DOI]
  17. Gao Z, "Gender differences in cardiovascular disease", Medicine in Novel Technology and Devices, 4, pp.100025~ (2019)[DOI]
  18. Yeonjung Kim, "Cohort Profile: The Korean Genome and Epidemiology Study (KoGES) Consortium", International Journal of Epidemiology, 46(2), pp.e20~e20 (2016), Oxford University Press (OUP)[DOI]
  19. Zixiang Ye, "Evaluating the predictive value of diabetes mellitus diagnosed according to the Chinese guidelines (2020 edition) for cardiovascular events", Diabetology & Metabolic Syndrome, 14(1) (2022), Springer Science and Business Media LLC[DOI]
  20. (2011)[URL]
  21. (2022)[URL]
  22. 허규연, "2021 Clinical Practice Guidelines for Diabetes Mellitus of the Korean Diabetes Association", Diabetes and Metabolism Journal, 45(4), pp.461~481 (2021), 대한당뇨병학회[DOI]
  23. (2022)[URL]
  24. (2020)[URL]
  25. (2021)[URL]
  26. (2019)[URL]
  27. Dorte Vistisen, "Risk of Cardiovascular Disease and Death in Individuals With Prediabetes Defined by Different Criteria: The Whitehall II Study", Diabetes Care, 41(4), pp.899~906 (2018), American Diabetes Association[DOI]
  28. Chin-Feng Hsuan, "The waist-to-body mass index ratio as an anthropometric predictor for cardiovascular outcome in subjects with established atherosclerotic cardiovascular disease", Scientific Reports, 12(1), pp.804~ (2022), Springer Science and Business Media LLC[DOI]
  29. Robert Ross, "Waist circumference as a vital sign in clinical practice: a Consensus Statement from the IAS and ICCR Working Group on Visceral Obesity", Nature Reviews Endocrinology, 16(3), pp.177~189 (2020), Springer Science and Business Media LLC[DOI]
  30. Xin Qian, "Study on the prediction model of atherosclerotic cardiovascular disease in the rural Xinjiang population based on survival analysis", BMC Public Health, 23(1), pp.1041~ (2023), Springer Science and Business Media LLC[DOI]
  31. 허연정, "한국의 40세 이상 남녀의 소득, 결혼, Body Mass Index, 건강행태요인이 당뇨에 미치는 영향", Journal of The Korean Data Analysis Society, 23(3), pp.1483~1500 (2021), 한국자료분석학회[DOI]
  32. 김현창, "한국인 이상지질혈증의 역학", 대한의사협회지, 59(5), pp.352~357 (2016), 대한의사협회[DOI]
  33. Karri Suvila, "Age of Hypertension Onset: Overview of Research and How to Apply in Practice", Current Hypertension Reports, 22(9), pp.68~ (2020), Springer Science and Business Media LLC[DOI]
  34. Emily I. Holthuis, "Risk Factor Clusters and Cardiovascular Disease in High-Risk Patients: The UCC-SMART Study", Global Heart, 16(1), pp.85~ (2021), Ubiquity Press, Ltd.[DOI]
  35. 조상옥, "한국인의 심혈관질환 발생을 유발하는 위험인자들의 기여도 평가", 한국산학기술학회논문지, 21(6), pp.592~602 (2020), 한국산학기술학회[DOI]
  36. 함상근, "여성에서의 흡연과 금연치료", 대한금연학회지, 13(2), pp.35~42 (2022), 대한금연학회[DOI]
  37. Xiaowen Wang, "Smoking cessation, weight gain and risk of cardiovascular disease", Heart, 108(5), pp.375~381 (2021), BMJ[DOI]

관련 논문AI추천

Current status of modifiable risk factors for cardiovascular disease in Korean womenIn-Jeong Cho, Mi-Seung Shin대한내과학회 · The Korean Journal of Internal Medicine2025 · 제40권 제1호남녀별 연령에 따른 이상지질혈증 위험요인 비교에 대한 융합연구: 국민건강영양조사 자료(2013∼2015년) 활용서영미, 전미양, 최소영, 최원희한국융합학회 · 한국융합학회논문지2018 · 제9권 제10호한국인 심혈관질환의 유병률과 관련 위험인자: 2005년, 2007년 국민건강영양 조사를 바탕으로곽찬영, 김영주대한임상건강증진학회 · Korean Journal of Health Promotion2011 · 제11권 제3호30-74세 1인가구의 심혈관질환 발병 위험요인에 관한 성별 비교분석백재욱, 윤강인, 최은정보건의료산업학회 · 보건의료산업학회지2023 · 제17권 제1호Educational Disparities in Distribution of Cardiovascular Risk Factors and Quality of Care in Korean Adults: Korean National Health and Nutrition Survey IV김지혜, 박상민, 서범석, 윤재문대한가정의학회 · Korean Journal of Family Medicine2013 · 제34권 제1호혈압 범주별 비만⋅흡연의 동반이 고LDL-콜레스테롤혈증에 미치는 영향: 국민건강영양조사 자료 이용(2019~2021)차보경, 천숙희대한의료커뮤니케이션학회 · 의료커뮤니케이션2025 · 제20권 제2호

이 간행물의 다른 논문 (5건)

Impact of COVID-19 on Clinical Training in Undergraduate Nursing Students: A Scoping Review현수경pp. 55-67간호사의 영적 간호에 대한 질적 내용분석강경림, 조현진pp. 68-77고위험 임부의 스트레스 대처 유형에 따른 임신 스트레스와 모-태아 애착이윤주, 유선민pp. 78-88외상중환자실 간호사의 외상후 스트레스 정도와 관련요인전민우, 문희애, 황선경pp. 101-111Development and Validation of a Fall Risk Assessment Scale for Hospitalized Children in Korea정선영, 박유선pp. 112-126
원문 보기