Spatial Information Research

Korea Spatial Information Society (대한공간정보학회)
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The Use of Housing Price As a Neighborhood Indicator for Socio-Economic Status and the Neighborhood Health Studies

지역사회건강 연구와 근린의 사회경제적 수준 지표로서 주택 가격 수준의 이용

  • Sohn, Chul (Dept. of Urban Planning & Real Estate, Gangnenung-Wonju National University)
  • Received : 2013.11.02
  • Accepted : 2013.12.31
  • Published : 2013.12.31
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Abstract

Recently, several studies conducted for other countries show that housing price has very close relationship with personal or neighborhood level obesity. Also these studies suggest the use of housing price as a new SES(Socio-Economic Status) variable for health related studies. In this study, whether this relationship can be found in regions of the Seoul Metropolitan Area is investigated. The results of this study show that, as in the cases of other countries, the regions with SES represented by higher housing prices show lower obesity levels. Further, the results show that the differences in regional housing prices well explain the variations of regional obesity levels as other traditional SES variables do. This finding indicates that housing price which is objectively, continuously, and spatially measured in Korea can be used as a new SES indicator for health research in Korea.

최근 국외에서 수행된 몇몇 선행 연구들은 주택 가격과 개인 및 지역사회의 비만 수준 사이에 밀접한 상관관계가 존재함을 보여준다. 이는 주택 가격이 개인 및 지역의 사회경제적 수준을 나타내는 지표로 쓰일 수 있음을 시사한다. 본 연구는 우리나라에서도 지역의 주택 가격수준이 지역에 거주하는 개인들의 집계된 건강수준을 잘 설명할 수 있는지 분석하였다. 분석결과는 우리나라에서도 해외의 사례에서와 같이, 지역의 주택 가격으로 대표되는 사회경제적 수준이 높을수록 지역의 비만도가 낮아지는 것을 보여주었다. 그리고 지역의 평균적 주택 가격수준이 비교된 여타의 사회경제적 수준 지표들 못지 않게 지역의 비만인구 비율을 잘 설명하고 있음을 보여주었다. 본 연구결과는 주택 가격이 다른 사회경제적 지표들과 같이 지역의 사회경제적 수준을 대표하는 효과적인 지표가 될 수 있음을 보여준다.

Keywords

References

  1. Bilger, M; Carrieri, V. 2013, Health in the Cities: When the Neighborhood Matters more than Income, Journal of Health Economics, 32(1):1-11. https://doi.org/10.1016/j.jhealeco.2012.09.010
  2. Choi, M. H; Cheong, K. S; Cho, B. M; Hwang, I. K; Kim, C. H; Kim, M. H; Hwang, S. S; Lim, J. H; Yoon, T. H. 2011, Deprivation and Mortality at the Town Level in Busan, Korea: An Ecological Study, Journal of Preventive Medicine and Public Health, 44(6): 242-248. https://doi.org/10.3961/jpmph.2011.44.6.242
  3. Coffee, N. T; Lockwood, T; Hugo, G; Paquet, C; Howard, N. J; Daniel, M. 2013, Relative Residential Property Value as a Socio-economic Status Indicator for Health Research, International Journal of Health Geographics, 12-22.
  4. Do, D. P. 2009, The Dynamics of Income and Neighborhood Context for Population Health: Do Long Term Measures of Socioeconomic Status Explain More of the Black/White Health Disparity than Single-point-in-time Measures?, Social Science & Medicine, 68(8): 1368-1375. https://doi.org/10.1016/j.socscimed.2009.01.028
  5. Drewnowski, A; Rehm, C. D; Solet, D. 2007, Disparities in Obesity Rates: Analysis by ZIP Code Area, Social Science & Medicine, 65(12): 2458-2463 https://doi.org/10.1016/j.socscimed.2007.07.001
  6. Harrington, D. W; Elliott, S. J. 2009, Weighing the Importance of Neighbourhood: A Multilevel Exploration of the Determinants of Overweight and Obesity, Social Science & Medicine, 68(4): 593-600. https://doi.org/10.1016/j.socscimed.2008.11.021
  7. Karmakar, S. D; Breslin, F. C. 2008, The Role of Educational Level and Job Characteristics on the Health of Young Adults, Social Science & Medicine, 66(9): 2011-2022. https://doi.org/10.1016/j.socscimed.2008.01.017
  8. Kim, E. J; Kang, M, G. 2011, Effects of Built Environmental Factors on Obesity and Self-reported Health Status in Seoul Metropolitan Area Using Regression Model, The Korea Spatial Planning Review, 68:85-98. https://doi.org/10.15793/kspr.2011.68..005
  9. Miech, R. A; Hauser, R. M. 2001, Socioeconomic Status and Health at Midlife: A Comparison of Educational Attainment with Occupation-Based Indicators, Annals of Epidemiology, 11(2):75-84.
  10. Mowafi, M; Khadr, Z; Subramanian, S. V; Bennett, G; Hill, A; Kawachi, I. 2011, Are Neighborhood Education Levels Associated with BMI Among Adults in Cairo, Egypt?, Social Science & Medicine, 72(8):1274-1283. https://doi.org/10.1016/j.socscimed.2011.01.032
  11. Oakes, J. M; Rossi, P. H. 2003, The Measurement of SES in Health Research: Current Practice and Steps Toward a New Approach, Social Science & Medicine, 56(4):769-784. https://doi.org/10.1016/S0277-9536(02)00073-4
  12. Rehm, C. D; Moudon, A. V; Hurvitz, P. M; Drewnowski, A. 2012, Residential Property Values are Associated with Obesity Among Women in King County, WA, USA, Social Science & Medicine, 75(3):491-495. https://doi.org/10.1016/j.socscimed.2012.03.041
  13. Shin, H. S; Lee, S. H; Chu J. M. 2009, Development of Composite Deprivation Index for Korea: The Correlation with Standardized Mortality Ratio, Journal of Preventive Medicine and Public Health, 42(6):392-402. https://doi.org/10.3961/jpmph.2009.42.6.392
  14. Sim, J. H; Ahn, D. C; Son, M. A. 2012, Difference of Area-Based Deprivation and Education on Cerebrovascular Mortality in Korea, Health Policy and Management, 22(2): 163-182. https://doi.org/10.4332/KJHPA.2012.22.2.163
  15. Sohn, C. 2012, Exploring Multidimensional Public Health Data Using Self Organizing Map and GIS, Journal of Korea Spatial Information Society, 20(6):23-32. https://doi.org/10.12672/ksis.2012.20.6.023
  16. Statistics Korea, 2012, Report on The Survey of Household Finances