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

Kwang-Ok Park; Ji-Yeong Seo

doi:10.12799/jkachn.2014.25.4.248

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Original Article
Gender Differences in Factors Influencing The Framingham Risk Score-Coronary Heart Disease by BMI: Kwang-Ok Park, Ji-Yeong Seo; Journal of Korean Academy of Community Health Nursing 2014;25(4):248-258.
DOI: https://doi.org/10.12799/jkachn.2014.25.4.248
Published online: December 31, 2014

Department of Nursing, Catholic University of Pusan, Busan, Korea.

• Received: August 29, 2014 • Revised: December 8, 2014 • Accepted: December 15, 2014

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Abstract

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.
Key Words: Coronary heart disease; Body mass index; Physical activity

Figure 1

Selection of subjects from the 5th Korean National Health and Nutrition Examination Survey 2012.

Table 1

Estimating Risk of Coronary Heart Disease

HDL=high density lipid; SBP=systolic blood pressure; DBP=diastolic blood pressure; ^†Estimate of 10 year risk factor for male; ^‡Estimate of 10year Risk Factor for Female.

Table 2

General Characteristics and FRS-CHD (N=3,158)

Table 3

Descriptive Statistics and Correlations of Study Variables (N=3,158)

1=Vigorous physical activity; 2=Moderate physical activity ; 3=Walking; 4=Muscle strength exercise; 5=Flexibility exercise; 6=Daily activity; 7=Perceived stress; 8=Alcohol use disorders identification test.

^*p<.05; ^**p<.01.

Table 4

1st Model Summary and Regression Coefficients

BMI=Body mass index; Nw=Normal body weight; Ow=Over-weight; Ob=Obesity.

Table 5

Adjusted Model Summary and Regression Coefficients in Male and Female

SE=Standard error; NW=normal body weight; OW=over-weight; OB=obesity; AUDIT=Alcohol use disorders identification test; MSED=Muscle strength exercise dummy; VPAD=Vigorous physical activity dummy; MPAD=Moderate physical activity dummy; FHCHDD=Family history of coronary heart disease dummy; SEE=Standard error of the estimate; D-W=Durbin-Watson.

This paper was supported by RESEARCH FUND offered from Research Institute of Nursing Science, Catholic University of Pusan, 2012.

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. In: 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.97.18.1837Article PubMed
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):85-96PubMed
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.94.4.857Article PubMed
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. Med Sci Sports Exerc. 2000;32:9 Suppl. S465–S470. http://dx.doi.org/10.1097/00005768-200009001-00005Article PubMed
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. Can J Public Health. 2007;98:Suppl 2. S16–S68. http://dx.doi.org/10.1139/H07-123PubMed
12. Maeda S, Miyauchi T, Goto K, Matsuda M. Alteration of plasma endothelin-1 by exercise at intensities lower and higher than ventilatory threshold. J Appl Physiol (1985). 1994;77(3):1399–1402. Article PubMed
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. J Appl Physiol (1985). 1997;82(4):1107–1111. Article PubMed
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)60318-4Article PubMed PMC
15. Gelber RP, Gaziano JM, Orav EJ, Manson JE, Buring JE, Kurth T. Measures of obesity and cardiovascular risk among men and women. J Am Coll Cardiol. 2008;52(8):605–615. http://dx.doi.org/10.1016/j.jacc.2008.03.066Article PubMed PMC
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.109.887521Article PubMed
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. N Engl J Med. 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)69251-9Article PubMed
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 J Occup Environ Med. 2009;21(1):63–75. Article PDF
20. Yang IS, Choi DH, Kang YH. The awareness of cardiovascular risk factors and its correlates in patients with coronary artery diseases. J Korean Acad Adult Nurs. 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.0000057141.91012.80Article PubMed
22. Kim KA, Kim JS, Kim MS. Predictors of coronary heart disease risk in healthy men and women. J Korean Acad Nurs. 2007;37(7):1039–1048. Article PDF
23. Gill T. Epidemiology and health impact of obesity: An Asia Pacific perspective. Asia Pac J Clin Nutr. 2006;15:Suppl. 3–14. PubMed
24. Smart N, Marwick TH. Exercise training for patients with heart failure: A systematic review of factors that improve mortality and morbidity. Am J Med. 2004;116(10):693–706. http://dx.doi.org/10.1016/j.amjmed.2003.11.033Article PubMed
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 Res. 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. Korean J Nutr. 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):232-241Article PubMed

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

Figure 1 Selection of subjects from the 5th Korean National Health and Nutrition Examination Survey 2012.

Figure 1

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

Table 1 Estimating Risk of Coronary Heart Disease

HDL=high density lipid; SBP=systolic blood pressure; DBP=diastolic blood pressure; ^†Estimate of 10 year risk factor for male; ^‡Estimate of 10year Risk Factor for Female.

Table 2 General Characteristics and FRS-CHD (N=3,158)

Table 3 Descriptive Statistics and Correlations of Study Variables (N=3,158)

^*p<.05; ^**p<.01.

Table 4 1st Model Summary and Regression Coefficients

BMI=Body mass index; Nw=Normal body weight; Ow=Over-weight; Ob=Obesity.

Table 5 Adjusted Model Summary and Regression Coefficients in Male and Female