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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Park and Seo: Gender Differences in Factors Influencing The Framingham Risk Score-Coronary Heart Disease by BMI

Original Article

Journal of Korean Academy of Community Health Nursing 2014; 25(4): 248-258.

Published online: 31 December 2014

DOI: https://doi.org/10.12799/jkachn.2014.25.4.248

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

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 29 August 2014 Revised 8 December 2014 Accepted 15 December 2014

(open-access):

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.

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

Figures and Tables

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.

Notes

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

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