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Regional Suicide Rate Change Patterns in Korea

Author

Listed:
  • Byung-sun You

    (Policy Research Team, Gyeonggi Welfare Foundation, Seoul 16207, Korea)

  • Kyu-hyoung Jeong

    (Policy Development Team, Nowon-gu Office, Seoul 01689, Korea)

  • Heeran J. Cho

    (Department of Health Administration, Yonsei University, Seoul 26493, Korea)

Abstract

Background: Korea had the highest suicide rate among OECD countries for the 10 years leading up to 2016; however, the suicide rate in Korea has declined since 2010, after policy-driven interventions were implemented. Methods: Suicide rates from all of the 229 cities, counties, and districts in Korea were reliably estimated from the period 2010 to 2017, and data were examined by Stata 14.0 and M-plus to identify regional suicide rate change patterns by latent growth modeling. The dependent variable is the suicide rate, and independent variables as characteristics of the various districts are the region (cities, counties, and autonomous districts), proportion of elderly residents, financial independence rate, establishment of mental health and welfare centers, and number of social welfare facilities. Results: Three suicide rate change patterns were identified: ‘average’, ‘precipitous drop’, and ‘high level’. Two of the three patterns exhibit features that are markedly different to the national data as a whole, and the three patterns appear across the 229 cities, counties, and districts of Korea. Some of the determinant factors have been postulated here. While a high proportion of elderly residents in a given area is a significant indicator that the suicide rate will increase, having a large elderly population in combination with an increased number of social welfare facilities centers appeared to show a discrete pattern of suicide rate reduction when compared with average national data. Conclusions: Policy-driven interventions should be planned and implemented by central and local governments in conjunction, by considering regional characteristics to decrease local suicide rates more effectively.

Suggested Citation

  • Byung-sun You & Kyu-hyoung Jeong & Heeran J. Cho, 2020. "Regional Suicide Rate Change Patterns in Korea," IJERPH, MDPI, vol. 17(19), pages 1-10, September.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:19:p:6973-:d:418222
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    References listed on IDEAS

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    1. Hirotugu Akaike, 1987. "Factor analysis and AIC," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 317-332, September.
    2. Ross, Justin M. & Yakovlev, Pavel A. & Carson, Fatima, 2012. "Does state spending on mental health lower suicide rates?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 41(4), pages 408-417.
    3. Kushner, H.I. & Sterk, C.E., 2005. "The limits of social capital: Durkheim, suicide, and social cohesion," American Journal of Public Health, American Public Health Association, vol. 95(7), pages 1139-1143.
    4. Nahid Darvishi & Mehran Farhadi & Tahereh Haghtalab & Jalal Poorolajal, 2015. "Alcohol-Related Risk of Suicidal Ideation, Suicide Attempt, and Completed Suicide: A Meta-Analysis," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-14, May.
    5. Stanley Sclove, 1987. "Application of model-selection criteria to some problems in multivariate analysis," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 333-343, September.
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    Cited by:

    1. Takashi Shiroyama & Kouji Fukuyama & Motohiro Okada, 2021. "Effects of Financial Expenditure of Prefectures/Municipalities on Regional Suicide Mortality in Japan," IJERPH, MDPI, vol. 18(16), pages 1-16, August.
    2. Toshiki Hasegawa & Kouji Fukuyama & Motohiro Okada, 2021. "Relationships between Expenditure of Regional Governments and Suicide Mortalities Caused by Six Major Motives in Japan," IJERPH, MDPI, vol. 19(1), pages 1-18, December.

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