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KMID : 0387320140240020143
Korean Journal of Health Policy and Administration
2014 Volume.24 No. 2 p.143 ~ p.152
The Effect of the Regional Factors on the Variation of Suicide Rates: Geographic Information System Analysis Approach
Park Seong-Yong

Lee Kwang-Soo
Abstract
Background: Previous studies showed that the characteristics of population and regions were related to the suicide rates. This study purposed to analyze the relationships between regional factors and suicide rates with spatial analysis model.

Methods: This is a cross sectional study based on the statistics of 2011 which was extracted from the 229 City ¡¤ Gun ¡¤ Gu administrative districts in Korea. Cause of death statistics on each district was used to produce the age-, sex-adjusted mortality rates resulting from suicide. Regional characteristics were measured by the number of doctors engaged in medical institutions per 1,000 population, divorced people¡¯s rate per 1,000 population, number of marriages per 1,000 population, and percent of welfare budget in general accounting. Statistical analysis was performed by using SAS ver. 9.3 and ArcGIS ver. 10.2 was used for geographically weighted regression (GWR).

Results: In ordinary least square (OLS) regression, divorced people¡¯s rate per 1,000 population had a significant positive relationship with the standardized mortality rate per 100,000 population. Marriages per 1,000 population and the proportion of welfare budget in the general accounting had significant negative relationships with the mortality rates. Meanwhile, GWR provided that the directions of variable, divorced people¡¯s rate per 1,000 population, were varied depending on regions. The adjusted R2 was improved from the 0.32 in OLS to the 0.46 in GWR.

Conclusion: Results of GWR showed that regional factors had different effects on the suicide rates depending on locations. It suggested that policy interventions for reducing the suicide rate should consider the regional characteristics in obtaining policy objectives.
KEYWORD
Suicide, Spatial analysis, Geographical information system, South Korea
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