Journal of Digital Convergence (디지털융복합연구)

The Society of Digital Policy and Management (한국디지털정책학회)
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Changes and determinants affecting on geographic variations in health behavior, prevalence of hypertension and diabetes in Korean

지역사회 건강행태, 고혈압, 당뇨병 유병률 변화와 변이 요인

  • Kim, Yoo-Mi (Dept. of Health Policy and Management, Sangji University) ;
  • Kang, Sung-Hong (Dept. of Health Policy and Management, Inje University)
  • Received : 2015.09.28
  • Accepted : 2015.11.20
  • Published : 2015.11.28
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Abstract

This study examined changes in health behavior and prevalence of hypertension and diabetes during five years and analyzed determinants affecting on geographic variations of them. Data from Korean Community Health Survey in the period of 2008 and 2013 with 246 small districts were analyzed. Data were analyzed using convergence tools such as geographic information system tool and decision tree. During the five years period, areas of the increases in smoking and drinking were southwest regions showed increased smoking and areas of increases in physical activity are western regions. Areas of the increases in the prevalence of hypertension were west and south regions and in the prevalence of diabetes were east and north regions. Determinants affecting on regional variations in the prevalence of hypertension and diabetes were drinking, physical activity, obesity, arthritis, depressive symptom and stress. Mental health program should be developed for non-communicable disease. Thus, to decrease the prevalence of hypertension and diabetes, our study emphasized the necessity to develop customized mental health policies according to the region-specific characteristics.

본 연구의 목적은 지역의 건강행태, 고혈압, 당뇨병 유병률의 변화와 변화율의 지역 간 변이에 영향을 미치는 요인을 분석하는 것이다. 이를 위해 2008년과 2013년 지역사회건강조사 결과를 이용하였으며, 5년간 지역 간 건강행태 변화와 고혈압 및 당뇨병 유병률 변화의 지역 간 변이 정도, 변이의 요인을 확인하기 위해 지리정보시스템, 의사결정나무 등 융복합적 분석을 하였다. 지난 5년간 현재 흡연율과 월간 음주율의 증가는 남서부 지역에서 높았고, 걷기 실천율의 증가는 서부 지역에서 다소 높게 나타났다. 고혈압은 서부와 남부, 당뇨병은 동부와 북부 지역에서 증가율이 높았다. 고혈압 및 당뇨병 유병률 변화의 지역 간 변이 요인은 고혈압 및 당뇨병 이외에 음주, 신체활동, 비만, 관절염, 우울증상 및 스트레스로 나타났다. 우울증상이 증가하는 지역에서 고혈압과 당뇨병의 유병률의 증가는 중요한 영향을 미치는 것으로 나타났다. 따라서 고혈압과 당뇨병의 유병률을 감소시키기 위해서는 지역특성에 기반한 주민 정신건강 관리 프로그램을 개발할 필요가 있다.

Keywords

References

  1. World Health Organization, Global status report on noncommunicable disease 2014, Geneva: World Health Organization, 2014.
  2. M. Ock, J. W. Han, J. Y. Lee, S. H. Kim, M. W. Jo, Estimating Quality-Adjusted Life-Year Loss Due to Noncommunicable Diseases in Korean Adults through to the Year 2040, Value in Health, Vol. 18, pp. 61-66, 2015. https://doi.org/10.1016/j.jval.2014.09.008
  3. Z. Gizlice, H. Herrick, K. Fultz-Butts, Geographic variation in health indicators across North Carolina counties and regions: A comparison of direct and synthetic estimates from the North Carolina BRFSS (SCHS studies), North Carolina: State Center for Health Statistics, 2003.
  4. J. M. Hong, S. H. Lee, H. S. Shin, Variation in Life Expectancy by Area Deprivation : Magnitude and Trends in Korea, 2000-2011, Health and Social Science, Vol. 34, pp. 273-298, 2013. (Korean)
  5. B. G. Jeong, K. Y. Jung, J. Y. Kim, O. R. Moon, Y. H. Lee, Y. S. Hong, T. H. Yoon, The Relationship between Regional Material Deprivation and the Standardized Mortality Ratio of the Community Residents Aged 15-64 in Korea, Journal of preventive medicine and public health, Vol. 39, No. 1, pp.46-52, 2006. (Korean)
  6. J. H. Kim, T. H. Yoon, Comparisons of Health Inequalities in Small Areas with Using the Standardized Mortality Ratios in Korea, Journal of preventive medicine and public health, Vol. 41, No. 5, pp. 300-306, 2008. (Korean) https://doi.org/10.3961/jpmph.2008.41.5.300
  7. E. Park, A Comparison of Community Health Status by Region and an Investigation of related Factors using Community Health Indicators, Journal of Korean community nursing, Vol. 23, No. 1, pp. 31-39, 2012. (Korean) https://doi.org/10.12799/jkachn.2012.23.1.31
  8. D. Kim, Analysis of Small Area Variation of Health Behavior using 2008 Community Health Survey in Korea, Korea Centers for Disease Control and Prevention, 2010. (Korean)
  9. Ministry of Health and Welfare, Korea Centers for Disease Control, Korean Community Health Statistics at a glance 2008-2013, Osong: Korea Centers for Disease Control, 2014. (Korean)
  10. Korea Centers for Disease Control and Prevention, Korea Health Statistics 2013, Korea National Health and Nutrition Examination Survey(KNHANES VI-1), pp. 52-53, 2014. (Korean)
  11. Jo I., Ahn Y., Lee J., Shin K. R., Lee H. K., Shin C. (2001). "Prevalence, awareness, treatment, control and risk factors of hypertension in Korea: the Ansan study". J Hypertens., 19(9):1523-32. https://doi.org/10.1097/00004872-200109000-00002
  12. Gress T. W., Nieto F. J., Shahar E., Wofford M. R., Brancati F. L. (2000). "Hypertension and antihypertensive therapy as risk factors for type 2 diabetes mellitus. Atherosclerosis Risk in Communities Study". N Engl J Med., 342:905-912. https://doi.org/10.1056/NEJM200003303421301
  13. Landsberg L., Molitch M. (2004). "Diabetes and hypertension: pathogenesis, prevention and treatment". Clin Exp Hypertens., 26:621-628. https://doi.org/10.1081/CEH-200031945
  14. Y. H. Jung, S. J. Koh, E. J. Kim, A study on the effective management for chronic disease, Seoul: Korea Institute for Health and Social Affairs, 2013. (Korean)
  15. Peters T. J., Sanders C., Dieppe P., Donovan J. (2005). "Factors associated with change in pain and disability over time: a community-based prospective observational study of hip and knee osteoarthritis". Br J General Pract., 55(512): 205-211.
  16. Puenpatom R. A., Victor T. W. (2009). "Increased prevalence of metabolic syndrome in individuals with osteoarthritis: an analysis of NHANES III data". Postgrad Med., 121: 9-20. https://doi.org/10.3810/pgm.2009.11.2073
  17. Moodie R., Stuckler D., Monteiro C., Sheron N., Neal B., Thamarangsi T., Lincoln P., Casswell S. (2013). "Profits and pandemics: prevention of harmful effects of tobacco, alcohol, and ultra-processed food and drink industries". The Lancet, 381(9867):670-679. https://doi.org/10.1016/S0140-6736(12)62089-3
  18. Mezuk B., Eaton W. W., Albrecht S., Golden S. H. (2008). "Depression and type 2 diabetes over the lifespan: a meta-analysis". Diabetes Care, 31(12):2383-90. https://doi.org/10.2337/dc08-0985
  19. Talbot F., Nouwen A. (2000). "A review of the relationship between depression and diabetes in adults: is there a link?" Diabetes Care, 23:1556-62. https://doi.org/10.2337/diacare.23.10.1556
  20. Egede L. E., Ellis C. (2010). "Diabetes and depression: global perspectives". Diabetes Res Clin Pract., 87:302-12. https://doi.org/10.1016/j.diabres.2010.01.024
  21. Rustad J. K., Musselman D. L., Nemeroff C. B. (2011). "The relationship of depression and diabetes: pathophysiological and treatment implications". Psychoneuroendocrinology, 36:1276-86. https://doi.org/10.1016/j.psyneuen.2011.03.005
  22. Cho Y. G. (2014). "The interrelationship between diabetes and depression". Korean J Fam Med., 35:109-110. https://doi.org/10.4082/kjfm.2014.35.3.109
  23. Raikkonen K., Matthews K. A., Kuller L. H. (2007). "Depressive symptoms and stressful life events predict metabolic syndrome among middle-aged women". Diabetes Care, 30(4):872-877. https://doi.org/10.2337/dc06-1857
  24. Sung H. N., Chae H. S., Kim E. S., Kim J. S. (2014). "Diabetes and depressive symptoms in Korean women: The Fifth Korean National Health and Nutrition Examination Survey (2010-2011)". Korean J Fam Med., 35:127-135. https://doi.org/10.4082/kjfm.2014.35.3.127

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