지역사회간호학회지 (Research in Community and Public Health Nursing)

  • 제25권4호
  • /
  • Pages.248-258
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  • 2014
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  • 1225-9594(pISSN)
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  • 2288-4203(eISSN)
한국지역사회간호학회 (Korean Academy of Community Health Nursing)
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남녀 체질량지수에 따른 관상동맥질환위험도(Framingham Risk Score-Coronary Heart Disease) 영향요인

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

  • 박광옥 (부산가톨릭대학교 간호대학) ;
  • 서지영 (부산가톨릭대학교 간호대학)
  • Park, Kwang-Ok (Department of Nursing, Catholic University of Pusan) ;
  • Seo, Ji-Yeong (Department of Nursing, Catholic University of Pusan)
  • 투고 : 2014.08.29
  • 심사 : 2014.12.15
  • 발행 : 2014.12.31
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초록

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.

키워드

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  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