Health Policy and Management (보건행정학회지)

Korean Academy of Health Policy and Management (한국보건행정학회)
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A Study on the Relationship between the Spatial Cluster Patterns of Male Suicide Rate and the Regional Characteristics in South Korea

남성 자살률의 공간 군집패턴 변화와 지역특성요인의 관계 분석

  • Choi, Soyoung (Department of Health Administration, Yonsei University Graduate School) ;
  • Lee, Kwang-Soo (Department of Health Administration, Yonsei University College of Health Sciences)
  • 최소영 (연세대학교 대학원 보건행정학과) ;
  • 이광수 (연세대학교 보건과학대학 보건행정학과)
  • Received : 2019.05.07
  • Accepted : 2019.07.11
  • Published : 2019.09.30
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Abstract

Background: Since 2003, Korea has consistently shown the highest suicide rate among the Organization for Economic Cooperation and Development countries, and suicide remains the major cause of death. In particular, men are 2-3 times more likely to commit suicide than women, which called the 'gender paradox of suicide.' The areas with frequent suicide have spatially clustered patterns because suicide with a social contagion spreads around the neighborhood. The purpose of this study was twofold. The first was to estimate the hotspot areas of age-standardized male suicide mortality from 2008 to 2015. The second was to analyze the relationship between the hotspot areas and the regional characteristics for study years. Methods: The data was collected through the Korean Statistical Information Service. The study areas were 227 si gun gu administrative districts in Korea. The hotspot area was used as a dependent variable. Socio-demographic variables (number of marriages per 1,000 population, number of divorces per 1,000 population, and urbanization rate), financial variables (financial independence and social security budget), and health behaviors (EuroQol-5 dimension [EQ-5D], and depression experience rate) were used as independents variables. Results: The hotspot areas were commonly located in Gangwon-do, Chungcheongnam-do, Gyeongsangbuk-do, and Chungceongbuk-do. According to the results of panel logit regression, the number of divorces per 1,000 population, social security budget, and EQ-5D were statistically significant variables. Conclusion: The results of hotspot analysis showed the need for establishing a prevention zone of suicide using hotspot areas. Also, medical resources could be considered to be preferentially placed in the prevention zone of suicide. This study could be used as basic data for health policymakers to establish a suicide-related policy.

Keywords

References

  1. Organization for Economic Cooperation and Development. Health status: suicide rates (indicator) [Internet]. Paris: Organization for Economic Cooperation and Development; 2019 [cited 2019 Jul 31]. Available from: https://doi.org/10.1787/a82f3459-en.
  2. Murphy GE. Why women are less likely than men to commit suicide. Compr Psychiatry 1998;39(4):165-175. DOI: https://doi.org/10.1016/s0010-440x(98)90057-8.
  3. Yip PS, Callanan C, Yuen HP. Urban/rural and gender differentials in suicide rates: east and west. J Affect Disord 2000;57(1-3):99-106. DOI: https://doi.org/10.1016/s0165-0327(99)00058-0.
  4. Organization for Economic Cooperation and Development. Making mental health count: the social and economic costs of neglecting mental health care [Internet]. Paris: Organization for Economic Cooperation and Development; 2014 [cited 2019 Jul 31]. Available from: https://doi.org/10.1787/9789264208445-en.
  5. Durkheim E. Suicide: a study in Sociology. Hwangbo JW, translator. Paju: Chunga Book; 2008.
  6. Siegrist J, Benach J, McKnight A, Goldblatt P, Muntaner C. Employment arrangements, work conditions and health inequalities: report on new evidence on health inequality reduction, produced by task group 2 for the strategic review of health inequalities post 2010. London: Centre for Analysis of Social Exclusion; 2010.
  7. Exeter DJ, Boyle PJ. Does young adult suicide cluster geographically in Scotland? J Epidemiol Community Health 2007;61(8):731-736. DOI: https://doi.org/10.1136/jech.2006.052365.
  8. Seo DW. Status of suicide rate in Korea and the role of mental health center. Proceedings of the Community Mental Health Project Officials 2nd Workshop; 2003 Oct 17; Sejong, Korea. [place unknown]: [publisher unknown]; 2003.
  9. Han CS, Jang BH, Lee JY, Ahn JH, Lim JH, Yang JW. A study on the regional risk factors on the elderly suicide. Seoul: National Evidence-based Healthcare Collaborating Agency; 2012.
  10. Lee D, Park H. Empirical analysis of suicide cases and a proposal for suicide prevention policy: focusing on the Busan Metropolitan City’s cases. Busan Natl Univ Law Rev 2013;54(1):1-38.
  11. Kim SW. Social support and delinquency: the effects of social support on suicide in Korea. Korean J Local Gov Stud 2010;14(3):81-95.
  12. Minayo MC, Cavalcante FG. Suicide in elderly people: a literature review. Rev Saude Publica 2010;44(4):750-757. DOI: https://doi.org/10.1590/s0034-89102010000400020.
  13. Kim JW, Kwon SM. The impact of regional employment unstability on suicide rate in the younger generation. Soc Secur Res 2014;30(2):117-141.
  14. Rehkopf DH, Buka SL. The association between suicide and the socio-economic characteristics of geographical areas: a systematic review. Psychol Med 2006;36(2):145-157. DOI: https://doi.org/10.1017/S003329170500588X.
  15. Park IJ. The effects of local government condition on the local suicide rate: a focus on the fifth local election period in South Korea. Korean J Public Adm 2017;55(1):333-370. https://doi.org/10.24145/KJPA.55.1.11
  16. Conwell Y, Duberstein PR, Caine ED. Risk factors for suicide in later life. Biol Psychiatry 2002;52(3):193-204. DOI: https://doi.org/10.1016/s0006-3223(02)01347-1.
  17. Kahng SK. Does depression predict suicide?: gender and age difference in the relationship between depression and suicidal attitudes. Korean J Soc Welf Stud 2010;41(2):67-99. DOI: https://doi.org/10.16999/kasws.2010.41.2.67.
  18. ESRI. Hot spot analysis (Getis-Ord Gi*) [Internet]. Redlands (CA): ESRI; 2016 [cited 2019 Jul 31]. Available from: http://desktop.arcgis.com/en/arcmap/10.3/tools/spatial-statistics-toolbox/hot-spot-analysis.htm#.
  19. Kim MJ. Spatial agglomeration pattern analysis using Getis-Ord’s Gi* and FLQ: in case of knowledge-based industries in Gyeonggi province. J Korean Cartogr Assoc 2014;14(1):107-123. https://doi.org/10.16879/jkca.2014.14.2.107
  20. Getis A, Ord JK. The analysis of spatial association by use of distance statistics. Geogr Anal 1992;24(3):189-206. DOI: https://doi.org/10.1111/j.1538-4632.1992.tb00261.x.
  21. Ord JK, Getis A. Local spatial autocorrelation statistics: distributional issues and an application. Geogr Anal 2010;27(4):286-306. DOI: https://doi.org/10.1111/j.1538-4632.1995. tb00912.x.
  22. Min IS, Choi PS. STATA panel data analysis version 15. 2nd ed. Seoul: Jiphil Media; 2018.
  23. Lee SI, Cho D, Sohn H, Chae M. A GIS-based method for delineating spatial clusters: a modified AMOEBA technique. J Korean Geogr Soc 2010;45(4):502-520.
  24. Kapusta ND, Zorman A, Etzersdorfer E, Ponocny-Seliger E, Jandl-Jager E, Sonneck G. Rural-urban differences in Austrian suicides. Soc Psychiatry Psychiatr Epidemiol 2008;43(4):311-318. DOI: https://doi.org/10.1007/s00127-008-0317-1.
  25. Park BC, Lester D. Rural and urban suicide in South Korea. Psychol Rep 2012;111(2):495-497. DOI: https://doi.org/10.2466/12.17.PR0.111.5.495-497.
  26. Park JW. Socioeconomic inequalities in health at the regional level in Korea. Health Welf Policy Forum 2018;(260):7-19.
  27. Lee JH. The regional health inequity, and individual and neighborhood level health determinants. Health Soc Welf Rev 2016;36(2):345-384. https://doi.org/10.15709/hswr.2016.36.2.345
  28. Braithwaite A, Li Q. Transnational terrorism hot spots: Identification and impact evaluation. Confl Manag Peace Sci 2007;24(4):281-296. DOI: https://doi.org/10.1080/07388940701643623.
  29. Yun WS. Testing the relationship between social integration and suicide: focusing on the data of city and town. Korean Assoc Public Saf Crim Justice Rev 2011;45:144-174.
  30. Kim JY, Kim CY. The impact analysis of community suicide rate: focusing on social capital and social economy status of community. Korean Assoc Health Med Sociol 2016;41(1):33-60. DOI: https://doi.org/10.21489/hass.2016.04.41.1.33.
  31. Park SJ. Study on path-dependence of deinstitutionalization policy for community mental health center. Korean Acad Ment Health Soc Work 2017;45(1):90-115. DOI: https://doi.org/10.24301/mhsw.2017.03.45.1.90.
  32. Chun JA, Lee NH, Kim JH. Recent changes in mental health policy in Korea. Health Welf Policy Forum 2017;(246):51-63.
  33. Goldney RD. A novel integrated knowledge explanation of factors leading to suicide. N Ideas Psychol 2003;21(2):141-146. DOI: https://doi.org/10.1016/s0732-118x(03)00016-3.
  34. Matsubayashi T, Ueda M. The effect of national suicide prevention programs on suicide rates in 21 OECD nations. Soc Sci Med 2011;73(9):1395-1400. DOI: https://doi.org/10.1016/j.socscimed.2011.08.022.
  35. Motohashi Y, Kaneko Y, Sasaki H. Community-based suicide prevention program in Japan using a health promotion approach. Environ Health Prev Med 2004;9(1):3-8. DOI: https://doi.org/10.1265/ehpm.9.3.