• Journal of Preventive Medicine and Public Health
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• v.45 no.2
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• pp.70-77
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• 2012

Objectives: Identify the characteristics related to the suicide rates in rural and urban areas of Korea and discover the factors that influence the suicide rate of the rural and urban areas. Methods: Using the data on causes of death from 2006 to 2008, the suicide rates were calculated and compared after age-standardization based on gender, age group and urbanicity. And, in order to understand the factors that influence suicide rate, total 10 local characteristics in four domains - public service, social integration, residential environment, and economic status - were selected for multiple regression analysis. Results: The suicide rates were higher in men than women, in rural areas than urban, and in older people than the younger. Generally, although there were variations according to age group and urbanicity, suicide rates were significantly related to residential environment and regional economic status but not related to regional welfare spending and social integration. In addition, the population over the age of 65 years, only regional economic status has significantly influence on their suicide rates. Conclusions: The influence of characteristics of regions on suicide rate is various by age-group, gender, and urbanicity. Therefore, in order to lower suicide rate and reduce the gap between regions, various approaches must be adopted by taking into account the socioeconomic characteristics of the regions.

• The Journal of the Korea Contents Association
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• v.20 no.1
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• pp.530-538
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• 2020

Recently, the suicide rate problem in Korea is very serious. Local governments are pushing various policies to lower suicide rates. The purpose of this study is to assess the difference in the suicide rate among regions and to identify the trend of change by concentration index(CI). The major findings are as follows. First, county suicide rate was the highest in the last 20 years and the lowest in the city. The low suicide rate in urban areas continues. Second, suicide rates are increasing in all regions. But the gap between the district and the county was decreasing. The difference in suicide rates between urban and rural areas is decreasing. Third, the suicide rate concentration index was negative for all 20 years. Suicide rates in low-density farming and fishing villages. Fourth, the absolute value of the concentration index has been continuously decreasing for 20 years. The gap between suicide and rural areas is decreasing. Therefore, inter-regional suicide rate is estimated to be leveling up.

• Journal of Korean Academy of Nursing
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• v.37 no.1
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• pp.44-51
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• 2007

Purpose: The purpose of this study was to compare suicide mortality by region in South Korea. Method: Suicide mortality differentials were calculated for several mortality indicators by geographical regions from raw data of the cause of death from KNSO. Results: The results are as follows; the Crude suicide death rate was 22.63 per 100,000. The highest was in Kangwon showing 37.84% whereas, Chungnam, and Jeonbuk followed after. Suicide was 4.4% of all causes of death, but Inchon and Ulsan showed a higher proportion. The male suicide death rate was 31.12 per 100,000 and females 14.09. The ratio of gender suicide mortality was 2.21, per 100,000 and was the highest in Jeju. For age-specific suicide death rates, the rate increased as age advanced, showing 2.33 per 100,000 in 0-19years, 18.68 in 20-39, 30.48 in 40-59, 63.33 in 60 years and over. In Ulsan, Kangwon, and Inchon, age-specific suicide death rates of the 60 and over age group were higher than other regions, Daegu, Busan, and Kangwon showed a higher age-specific suicide mortality of the 40-59 age group, and Kangwon, Jeonnam, and Chungnam had a higher age-specific suicide mortality of the 20-39 age group. Conclusions: Suicide mortality differed by region. These results can be used for a regional health care plan and planning for suicide prevention by regions.

• Health Policy and Management
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• v.24 no.2
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• pp.143-152
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• 2014

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 $R^2$ 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.

• Journal of Digital Convergence
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• v.18 no.7
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• pp.9-19
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• 2020

The purpose of this study is to analyze the difference in suicide rates between regions and to determine the effect of social workers on the regional suicide rate. The main analysis results are as follows. First, the suicide rates in metropolitan cities were lower than was lower than in other regions, and cities and districts were lower than those in the county area. Second, suicide rates were high in areas with many cultural and social welfare facilities per population. Suicide rates were high in low mental health facilities and low social welfare budgets. The suicide rate in rural areas was high. Third, suicide rates were high in areas with low economic requirements, areas with a high proportion of the elderly, divorce rates, and areas with a small number of social security recipients and living alone. In other words, the suicide rate in rural areas was high. Finally, social workers did not affect the difference in local suicide rates. Local social services and budgets have no real impact on suicide rates. In the future, it is necessary to improve the quality and quantity of community welfare practices that can lower community suicide rates.

• The Journal of the Korea Contents Association
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• v.14 no.11
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• pp.215-224
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• 2014

It is hardly surprising for the current elder generation to choose extreme measure, that is to commit suicide, because of various social or health problems caused by financial difficulties and diseases, for neither individuals nor the nation had not prepared for their later lives. Therefore, the number of elder suicide is rapidly increasing, so that it is becoming a big social issue. Research in various fields related to elderly suicide has been done due to recent huge interest, but most of them focused on microscopic factors and it is likely that most are in national level or individual level, so research about elderly suicide by regional areas is insufficient. Due to the nature of Korean administration system which is operated by each local government, study on elderly suicide by regional areas is acutely required. The purpose of this study is to draw policy suggestions of preventing suicide by analyzing current state of suicide rates in terms of sex(male elder vs female elder) and age(young old vs old old) in each 16 regions for 9years(from 2003 to 2011) and then analyzing interrelationships between the suicide rates and socio-economic factors.

• The Journal of Korean Society for School & Community Health Education
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• v.18 no.2
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• pp.1-25
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• 2017

Objectives: There is higher rates of experience of suicide ideation and suicide attempt of adolescents in the Lima and Callao region compared with the results of the epidemiological study (2013) conducted by Peru National Institute of Mental Health and the Global School-based Student Health Survey (2010) which is was conducted among adolescents across all regions of Peru. Based on the PRECEDE model, this study analyzed the prevalence and the factor associated with the suicide attempt among the adolescent in a poor urban area in Peru. Methods: A stratified random sampling was used for the survey to select study participants from the 6 secondary schools based in Comas or Callao. The survey was conducted November 25th and December 4th in 2015 and a total of 738 individuals included in the analysis. In order to analyze factors influencing suicide attempt, comparison of predisposing factor, reinforcing factor, enabling factor, behavioral factor, environmental factor, psychological factors by suicide attempt and suicide risk group were identified through the chi-square test and hierarchical logistic regression. Results: Results showed that those who reported having less parental understanding, less time spent with parents, and 'almost none/none' for parental affection had more experience of suicide attempt and were more likely to sort into the high suicide risk group. Also, a greater proportion of those with the experience of suicide attempt had more experience of smoking and alcohol consumption, and experience of physical abuse and feeling insulted and depression in comparison to that of those without experience of suicide attempt. Variables that had a significant effect on suicide attempt included depression, subjective happiness, smoking experience, sexual intercourse, involvement in fight, parental affection, and gender (male). Conclusions: The results of the current study can serve as grounds for the necessity of acknowledging that adolescent suicide does not simply depend on a couple of factors, but arises from situations in which individual, home, school, social factors influence one another, and therefore adolescent suicide should be prevented and addressed through a multi-dimensional and integrated approach.

• Korean Journal of Clinical Pharmacy
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• v.28 no.4
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• pp.308-319
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• 2018

Background: Some mental illnesses such as depression are known to be one of the risk factors of suicide and proper antidepressant therapy can reduce suicidal behavior. Objectives: This study aimed to analyze regional variations in antidepressant consumption and adherence, suicide rate, prevalence of suicide related mental disorders, and access to relevant healthcare services. Methods: Cross-sectional analyses were conducted using National Patients Sample data compiled by the Health Insurance Review and Assessment Service between 2014 and 2016. We included patients who had a diagnosis record of suicide related mental disorders during the study period. Cause of death statistics and National health and medical statistics were used to identify suicide rate and distribution of healthcare service. We conducted visual analyses, chi-squared tests, independent t-tests and correlation analyses to demonstrate regional variations. Results: Between 2014 and 2016, the average prevalence of suicide related mental disorders was 5.4 per cent. Suicide rate and prevalence of suicide related mental disorders were higher in Gangwon, Chungcheong, and Jeolla (p < 0.001), and lower in Seoul (p < 0.001) than the national average. Unexpectedly, regional variations in antidepressant consumption were seen in the limited area including Daejeon, Chungnam and Gyeongnam (p < 0.05). The number of mild patient-centered clinics was associated positively with antidepressant consumption (p < 0.01) and associated negatively with suicide rate (p < 0.01). Conclusion: There were some regional variations in prevalence of suicide related mental disorders, antidepressant adherence and suicide rate. The higher level of antidepressant therapy and the lower level of suicide rates were seen in regions with easy access to mild patient-centered clinics.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.39 no.1
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• pp.29-40
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• 2021

Risk factors that threaten public safety such as crime, fire, and traffic accidents have spatial characteristics. Since each region has different dangerous environments, it is necessary to analyze the spatial pattern of risk factors for each sector such as traffic accident, fire, crime, and living safety. The purpose of this study is to analyze the spatial distribution pattern of local safety level index, which act as an index that rates the safety level of each sector (traffic accident, fire, crime, living safety, suicide, and infectious disease) for basic local governments across the nation. The following analysis tools were used to analyze the spatial autocorrelation of local safety level index : Global Moran's I, Local Moran's I, and Getis-Ord's G⁎i. The result of the analysis shows that the distribution of safety level on traffic accidents, fire, and suicide tends to be more clustered spatially compared to the safety level on crime, living safety, and infectious disease. As a result of analyzing significant spatial correlations between different regions, it was found that the Seoul metropolitan areas are relatively safe compared to other cities based on the integrated index of local safety. In addition, hot spot analysis using statistical values from Getis-Ord's G⁎i derived three hot spots(Samchuck, Cheongsong-gun, and Gimje) in which safety-vulnerable areas are clustered and 15 cold spots which are clusters of areas with high safety levels. These research findings can be used as basic data when the government is making policies to improve the safety level by identifying the spatial distribution and the spatial pattern in areas with vulnerable safety levels.