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

Article information

Res Community Public Health Nurs. 2014;25(4):248-258
Publication date (electronic) : 2014 December 31
doi : https://doi.org/10.12799/jkachn.2014.25.4.248
Kwang-Ok Park, Ji-Yeong Seo
Department of Nursing, Catholic University of Pusan, Busan, Korea.
Corresponding author: Seo, Ji-Yeong. Department of Nursing, Catholic University of Pusan, 57 Oryundae-ro, Geumjeong-gu, Busan 609-757, Korea. Tel: +82-51-510-0770, Fax: +82-51-510-0747, marse@cup.ac.kr
Received 2014 August 29; Revised 2014 December 08; Accepted 2014 December 15.

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: Coronary heart disease; Body mass index; Physical activity

Notes

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

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Article information Continued

© 2014 Korean Academy of Community Health Nursing

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.

Funded by : Research Institute of Nursing Science, Catholic University of Pusan

Figure 1

Figure 1

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

Table 1

Estimating Risk of Coronary Heart Disease

Table 1

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 2

Table 3

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

Table 3

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

Table 4

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

Table 5

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.