[Show abstract][Hide abstract] ABSTRACT: 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.
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.
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.
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.
[Show abstract][Hide abstract] ABSTRACT: Objectives: Busan had the highest mortality and the shortest life expectancy at birth among 16 provinces in Korea in 2008 and there were considerable health inequalities within the region. This study was performed to build up a priority setting framework in Healthy City Busan project. Methods: Analytic hierarchy process was used to determine the relative priority weight for different strategic and program dimensions along with the consistency of response. An on-site workshop-based meeting (calculating importance) and online survey (calculating risk) were conducted to obtain data from 8 experts. Results: The results showed that in strategic criteria "active health promotion & diseases prevention" and "building infrastructure for the Health City project" were two most important factors. In program criteria, considering both importance and risk scores, "making a healthy community" and "building community health centers" in disadvantaged areas were a top priority group. In addition, "enacting an ordinance for the Healthy City", "building the infrastructure for health impact assessment" and "making health care safety net for vulnerable population" were also higher priorities group. Conclusions: Our findings suggest that the Healthy City project in Busan should be focused on strengthening health equity and building infrastructure for sustainability of the project.