Journal of Digital Convergence (디지털융복합연구)

The Society of Digital Policy and Management (한국디지털정책학회)
권호 표지
DOI QR코드

DOI QR Code

Risk Factors Influencing Stroke : using data from the 7th(2016-2018) Korea National Health and Nutrition Examination Survey

뇌졸중에 영향을 미치는 위험요인 : 국민건강영양조사 제7기(2016-2018) 자료를 활용하여

  • Received : 2020.07.27
  • Accepted : 2020.09.20
  • Published : 2020.09.28
Download PDF
⟨ Previous Next ⟩

Abstract

The purpose of this study was to identify the risk factors influencing stroke. The research method was used two-stage stratified cluster sampling using data from the National Health and Nutrition Survey (2016-2018). This study subjects performed a complex sample logistic regression analysis on adults aged 19 or older. Risk factors affecting stroke were shown as follows: in age groups, odds ratio were conformed when people are in their 70s, the rate is 8.861 times higher; when they are in their subjective health conditions, the odds ratio are 4.501 times higher in the bad groups; odds ratio was 3.158 times higher in the group diagnosed with hypertension and 1.598 times higher in the group diagnosed with diabetes. The result of this study found that chronic diseases such as high blood pressure and diabetes and the management of senior citizens are important because stroke is dangerous and can be managed through prevention.

본 연구의 목적은 뇌졸중에 영향을 미치는 위험요인을 파악 하고자 한다. 연구방법은 국민건강영양조사 제7기(2016-2018) 자료를 활용하여 2단계 층화집락표본추출방법을 사용하였다. 연구대상자는 만 19세이상 성인을 대상으로 복합표본 교차분석 및 복합표본 로지스틱 회귀분석을 실시하였다. 연구결과는 일반적특성및 질환특성과 뇌졸중과의 차이검정 결과 연령대(p<.001), 주관적건강상태(p<.001), 현재흡연(p=0.003), BMI(p=0.005), 고혈압진단(p<.001), 당뇨병진단(p<.001), 이상지질형증진단(p<.001)에 따른 뇌졸중 진단유무와의 차이검정은 통계적으로 유의한 차이가 나타났다. 뇌졸중에 영향하는 위험요인으로는 70세이상에서 오즈비가 8.861배, 주관적건강상태가 나쁜그룹에서 오즈비가 4.501배, 고혈압진단을 받은 그룹에서 오즈비가 3.158배, 당뇨병진단을 받은 그룹에서 오즈비가 1.598배 더 높게 나타났다. 뇌졸중은 위험한 만큼 예방을 통해서 관리를 할 수 있으므로 고혈압이나 당뇨병과 같은 만성질환과 노인들의 건강에 대한 관리가 중요함이 연구결과를 통해서 나타났다.

Keywords

References

  1. Statistics Korea (2019), Annual Report on the Causes of Death Statistics
  2. J. Park, G. W. Kang & Y. J. Tak. (2019). Factors affecting development of stroke in hypertension patients. Korean Public Health Research, 45(1), 95-104. https://doi.org/10.22900/KPHR.2019.45.1.009
  3. S. C. Jung, S. Y. Yang, D. Y. Kim, H. M. Kim, H. J. Im & C. H. Lee. (2013). Association of Stroke with Ambulatory Arterial Stiffness Index and Circardian Blood Pressure Variation in Hypertensive Patients. The Medical Journal of Chosun University, 38(4), 166-171.
  4. S. W. Han, H. Y. Kim, J. M. Park, J. Koo, Y. J. Cho, K. Kang & C. W. Oh. (2012). 2011 Update of Scientific Statement for the Primary Prevention of Stroke: Dyslipidemia and Inflammation. Journal of the Korean Neurological Association, 30(3), 159-169.
  5. Y. S. Lyu, J. H. Kim & S. Y. Kim (2019). Pharmacotherapy of Diabetes Focused on Stroke. Journal of the Korean Neurological Association, 37(3), 235-250. DOI : 10.17340/jkna.2019.3.1
  6. Y. Nam, H. Jung & Y. Kim. (2018). The relationship between smoking and stroke by general characteristics: using the 6th Korea national health and nutrition examination survey. Journal of Digital Contents Society, 19(7), 1323-1331. DOI : 10.9728/dcs.2018.19.7.1323
  7. H. Y. Choi & H. Kim. (2017). Association between cigarette smoking and stroke based on Korea community health survey. The Korean Journal of Public Health, 54(1), 15-22. DOI : 10.17262/KJPH.2017.03.54.1.15
  8. S. O. Shin & E. K. Roh. (2013). A influencing factors in Korea adults stroke. Journal of the Korea Academia-Industrial cooperation Society, 14(12), 6227-6236. DOI : 10.5762/KAIS.2013.14.12.6227
  9. J. Y. Lee, C. Y. Lee, T. H. Yoon & T. H. Kim (2019). Comparison of Level of Participation and Quality of Life in Stroke Patients and the Healthy Elderly. The Journal of Korean Society of Community Based Occupational Therapy, 9(1), 47-56. DOI : 10.18598/kcbot.2019.9.1.05
  10. H. Y. Song. (2008). Stroke risk and knowledge in women with prehypertension. Journal of Korean Biological Nursing Science, 10(2), 121-130.
  11. S. J. Oh. (2004). Diabetes and stroke. A Monthly Diabetes Magazine, 170(1), 35-37.
  12. Y. J. Kim. (2005). metabolic syndrome and stroke. Journal of Clinical Neurology, 23(5), 585-594.
  13. Y. G. Seo, H. C. Choi, B. Cho. (2016). The relationship between Metabolically Obese Non-Obese Weight and Stroke: The Korea National Health and Nutrition Examination Survey. PLoS One. DOI : 10.1371/journal.pone.0160846
  14. D. W.Lee, Y. C. Hong, K. B. Min, T. S. Kim, M.S. Kim, M. Y. Kang. (2016). The effect of long working hours on 10-year risk of coronary heart disease and stroke in the Korean population: the Korea National Health and Nutrition Examination Survey(KNHANES), 2007 to 2013. Ann Occup Environ Med., DOI : 10.1186/s40557-016-0149-5
  15. H. J. Hwang & Y. J. Choi. (2019). Convergence of the relationship between smoking behavior and metabolic abnormalities in the Korean population: data from the Korean National Health and Nutrition Examination Surveys 2013-2015. Journal of the Korea Convergence Society, 10(10), 81-89. DOI : 10.15207/JKCS.2019.10.10.081