Research in Community and Public Health Nursing (지역사회간호학회지)

Korean Academy of Community Health Nursing (한국지역사회간호학회)
권호 표지
DOI QR코드

DOI QR Code

Gender Differences in Factors Influencing The Framingham Risk Score-Coronary Heart Disease by BMI

남녀 체질량지수에 따른 관상동맥질환위험도(Framingham Risk Score-Coronary Heart Disease) 영향요인

  • Park, Kwang-Ok (Department of Nursing, Catholic University of Pusan) ;
  • Seo, Ji-Yeong (Department of Nursing, Catholic University of Pusan)
  • 박광옥 (부산가톨릭대학교 간호대학) ;
  • 서지영 (부산가톨릭대학교 간호대학)
  • Received : 2014.08.29
  • Accepted : 2014.12.15
  • Published : 2014.12.31
Download PDF
⟨ Previous Next ⟩

Abstract

Purpose: This study was to investigate factors influencing the Framingham risk score-Coronary heart disease (FRS-CHD) according to gender and body mass index (BMI) of adults who participated in the 5th Korea National Health and Nutrition Examination Survey (KNHANES V-3). Methods: This study used a cross-sectional design with secondary analysis with KNHANES V-3. The FRS-CHD scores were measured with ages, sex, blood pressure, cholesterol, high density lipoprotein, smoking, and diabetes mellitus. With demographic characteristics, family history of ischemic heart disease, types (intensity) and days of physical activities, perceived stress, drinking, menopause (in female), and BMI scores were measured. The data were analyzed with descriptive statistics, Pearson's correlation coefficients, and multiple regressions. Results: FRS-CHD was significantly associated with types (intensity) and days of physical activities, educational level, occupation, and marital status, explaining 19.1~76.8% of the variance in men. FRS-CHD was significantly associated with types (intensity) and days of physical activities, menopause, and education level, explaining 55.0~59.5% of the variance in women. Conclusion: Factors influencing FRS-CHD were significantly different according to gender and BMI. To reduce the risk of coronary artery disease, it is necessary to develop gender-specific physical activity programs according to BMI.

Keywords

References

  1. Statistics Korea. The statistical result about cause of death at 2012 [Internet]. Seoul: Statistics Korea. 2013 [cited 2014 August 5]. Available from: http://www.index.go.kr/potal/main/EachDtlPageDetail.do?idx_cd=1012
  2. Mendis S, Puska P, Norrving B, editors. Global Atlas on cardiovascular disease prevention and control. Geneva: World Health Organization in collaboration with the World Heart Federation and the World Stroke Organization; 2011.
  3. American Heart Association. Coronary artery/heart disease [Internet]. Dallas: American Heart Association. 2014 [cited 2014 August 5]. Available from: http://www.heart.org/ HEARTORG/Conditions/More/MyHeartandStrokeNews/Coronary-Artery-Disease---Coronary-Heart- Disease_UCM_436416_Article.jsp
  4. Framingham Heart Study. A project of the national heart, lung, and blood institute and Boston University [Internet]. Framingham: Framingham Heart Study. 2014 [cited 2014 June 14]. Available form: http://www.framinghamheartstudy.org/about-fhs/history.php
  5. Wilson PW, D'Agostino RB, Levy D, Belanger AM, Silbershatz H, Kannel WB. Prediction of coronary heart disease using risk factor categories. Circulation. 1998;97(18):1837-1847. http://dx.doi.org/10.1161/01.cir.97.18.1837
  6. Murray CJ, Lauer JA, Hutubessy RC, Niessen L, Tomijima N, Rodgers A, et al. Effectiveness and costs of intervention to lower systolic blood pressure and cholesterol: A global and regional analysis on reduction of cardiovascular-disease risk. Lancet. 2003;361(9359)717-725. Cited by Choi EH, Seo JY. Framingham risk score by general characteristics and physical activity: Based on the 4th Korean national health and nutrition examination survey. Korean Public Health Research. 2011;37(1):85-96.
  7. Framingham Heart Study. Risk score profile [Internet]. Framingham: Framingham Heart Study. 2014 [cited 2014 May 23]. Available form: http://www.framinghamheartstudy.org/risk-functions/index.php
  8. Fletcher GF, Blair SN, Blumenthal J, Caspersen C, Chaitman B, Epstein S, et al. Statement on exercise: Benefits and recommendations for physical activity programs for all Americans. A statement for health professionals by the committee on exercise and cardiac rehabilitation of the council on clinical cardiology, American Heart Association. Circulation. 1996;94(4):857-862. http://dx.doi.org/10.1161/01.cir.94.4.857
  9. Strath SJ, Swartz AM, Bassett DR Jr, O'Brien WL, King GA, Ainsworth BE. Evaluation of heart rate as a method for assessing moderate intensity physical activity. Medicine and Science in Sports and Exercise. 2000;32(9 Suppl):S465-S470. http://dx.doi.org/10.1097/00005768-200009001-00005
  10. World Health Organization Western Pacific Region. Pacific physical activity guidelines for adults. Framework for accelerating the communication of physical activity guidelines [Internet]. World Health Organization Western Pacific Region; WHO. 2008. [cited 2014 January 13]. Available from: http://www.who.int/dietphysicalactivity/publications/pacific_pa_guidelines.pdf
  11. Warburton DER, Katzmarzyk PT, Rhodes RE, Shephard RJ. Evidence-informed physical activity guidelines for Canadian adults. Applied Physiology, Nutrition, and Metabolism. 2007; 32(Suppl. 2E):S16-S68. http://dx.doi.org/10.1139/H07-123
  12. Maeda S, Miyauchi T, Goto K, Matsuda M. Alteration of plasma endothelin-1 by exercise at intensities lower and higher than ventilatory threshold. Journal of Applied Physiology. 1994;77(3):1399-1402.
  13. Maeda S, Miyauchi T, Sakane M, Saito M, Maki S, Goto K, et al. Does endothelin-1 participate in the exercise-induced changes of blood flow distribution of muscles in humans? Journal of Applied Physiology. 1997;82(4):1107-1111.
  14. Whitlock G, Lewington S, Sherliker P, Clarke R, Emberson J, Halsey J, et al. Body-mass index and cause-specific mortality in 900,000 adults: Collaborative analyses of 57 prospective studies. Lancet. 2009;373(9669):1083-1096. http://dx.doi.org/10.1016/s0140-6736(09)60318-4
  15. Gelber RP, Gaziano JM, Orav EJ, Manson JE, Buring JE, Kurth T. Measures of obesity and cardiovascular risk among men and women. Journal of the American College of Cardiology. 2008;52(8):605-615. http://dx.doi.org/10.1016/j.jacc.2008.03.066
  16. Arnlov J, Ingelsson E, Sundstrom J, Lind L. Impact of body mass index and the metabolic syndrome on the risk of cardiovascular disease and death in middle-aged men. Circulation. 2010;121(2):230-236. http://dx.doi.org/10.1161/circulationaha.109.887521
  17. Zheng W, McLerran DF, Rolland B, Zhang X, Inoue M, Matsuo K, et al. Association between body-mass index and risk of death in more than 1 million Asians. The New England Journal of Medicine. 2010;364(8):719-729. http://dx.doi.org/10.1056/nejmoa1010679
  18. Romero-Corral A, Montori VM, Somers VK, Korinek J, Thomas RJ, Allison TG, et al. Association of bodyweight with total mortality and with cardiovascular events in coronary artery disease: A systematic review of cohort studies. Lancet. 2006;368(9536):666-678. http://dx.doi.org/10.1016/s0140-6736(06)69251-9
  19. Choi MC, Song YH, Lee SY, Woo JT. Framingham risk scores by occupational group: Based on the 3rd Korean national health and nutrition examination survey. Korean Journal of Occupational and Environmental Medicine. 2009;21(1):63-75.
  20. Yang IS, Choi DH, Kang YH. The awareness of cardiovascular risk factors and its correlates in patients with coronary artery diseases. Journal of Korean Academy of Adult Nursing. 2010;22(5):499-508.
  21. Bigert C, Gustavsson P, Hallqvist J, Hogstedt C, Lewne M, Plato N, et al. Myocardial infarction among professional drivers. Epidemiology. 2003;14(3):333-339. http://dx.doi.org/10.1097/01.EDE.0000057141.91012.80
  22. Kim KA, Kim JS, Kim MS. Predictors of coronary heart disease risk in healthy men and women. Journal of Korean Academy Nursing. 2007;37(7):1039-1048.
  23. Gill T. Epidemiology and health impact of obesity: An Asia Pacific perspective. Asia Pacific Journal of Clinical Nutrition. 2006;15(Suppl 1): 3-14.
  24. Smart N, Marwick TH. Exercise training for patients with heart failure: A systematic review of factors that improve mortality and morbidity. The American Journal of Medicine. 2004;116(10):693-706. http://dx.doi.org/10.1016/j.amjmed.2003.11.033
  25. Choi EH, Seo JY. Framingham risk score by general characteristics and physical activity: Based on the 4th Korean national health and nutrition examination survey. Korean Public Health Research. 2011;37(1):85-96.
  26. Park SH, Kang YH, Park HY. Alcohol consumption and the coronary heart disease-related risk factors in Korean adults: The third Korea National Health and Nutrition Examination Survey (KNHANES III), 2005. Journal of Nutrition and Health. 2008;41(3):232-241.
  27. Agarwal DP. Cardioprotective effects of light-moderate consumption of alcohol: A review of putative mechanisms. Alcohol Alcohol. 2002;37(5):409-415. Cited by Park SH, Kang YH, Park HY. Alcohol consumption and the coronary heart disease-Related risk factors in Korean adults: The third Korea National Health and Nutrition Examination Survey (KNHANES III), 2005. Journal of Nutrition and Health. 2008;41(3):232-241.

Cited by

  1. 한국 중년 남성의 연도별 체질량지수, 신체계측치, 식품 및 영양소 섭취량 변화 : 국민건강영양조사 결과(2001~2011) vol.22, pp.2, 2014, https://doi.org/10.14373/jkda.2016.22.2.88
  2. 잠재계층분석을 활용한 관상동맥질환 위험요인의 유형화 vol.47, pp.6, 2014, https://doi.org/10.4040/jkan.2017.47.6.817
  3. 한국 성인 남성의 심혈관질환 위험에 대한 예측 요인의 융복합적 탐색 vol.16, pp.2, 2014, https://doi.org/10.14400/jdc.2018.16.2.251
  4. 우리나라 성인의 관상동맥질환 관련 요인: 국민건강영양조사 자료(2013~2015년) 활용 vol.21, pp.1, 2018, https://doi.org/10.7587/kjrehn.2018.33
  5. Lifestyle and Quality of Life in Patients with Coronary Artery Disease: A Propensity-Matched Comparison with a Healthy Control Group vol.32, pp.2, 2014, https://doi.org/10.7475/kjan.2020.32.2.199
  6. Body Fat Distribution and Associated Risk of Cardiovascular Disease in Adults With Cerebral Palsy vol.12, pp.None, 2014, https://doi.org/10.3389/fneur.2021.733294
  7. Sex differences in the relationship between depression and cardiovascular disease risk: a nationwide study in Korea vol.12, pp.2, 2014, https://doi.org/10.24171/j.phrp.2021.12.2.08
  8. Comparing Framingham risk score and cognitive performance in a Mexican American cohort vol.1, pp.4, 2021, https://doi.org/10.1016/j.ahr.2021.100041