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Spatial analysis of the regional variation of hypertensive disease mortality and its socio-economic correlates in South Korea

机译:韩国高血压疾病死亡率区域变化及其社会经济相关性的空间分析

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This paper presents a cross-sectional study based on the cause of death statistics in 2011 extracted from all 229 local governments in South Korea. The standardised hypertensive disease mortality rate (SHDMR) was defined by age- and sex-adjusted mortality by hypertensive diseases distinguished by International Classification of Disease- 10 (ICD-10). Variables taken into account were the number of doctors per 100,000 persons, the proportion with higher education (including university students and high school graduates), the number of recipients of basic livelihood support per 100,000 persons, the annual national health insurance premium per capita and the proportion of persons classified as high-risk drinkers. Ordinary least square (OLS) regression and geographically weighted regression (GWR) were applied to identify the potential associations. The statistical analysis was conducted with SAS ver. 9.3, while ArcGIS ver. 10.0 was utilised for the spatial analysis. The OLS results showed that the number of basic livelihood recipients per 100,000 persons had a significant positive association with the SHDMR, and the proportion with higher education had a significant negative one. GWR coefficients varied depending on region investigated and some regional variables had various directions. GWR showed higher adjusted R2 than that of OLS. It was found that the SHDMR was affected by socio-economic status, but as the effects observed were not consistent in all regions of the country, the development of health policies will need to consider the potential for regional variation.
机译:本文基于2011年死亡原因统计数据进行了横断面研究,该统计数据摘自韩国所有229个地方政府。标准化高血压病死亡率(SHDMR)由国际疾病分类10(ICD-10)区分的高血压疾病的年龄和性别调整死亡率定义。考虑的变量包括每10万人的医生人数,受高等教育的比例(包括大学生和高中毕业生),每10万人的基本生活保障领取者人数,人均年度国民健康保险费和高风险饮酒者的比例。应用普通最小二乘(OLS)回归和地理加权回归(GWR)来识别潜在的关联。统计分析使用SAS ver。 9.3,而ArcGIS ver。 10.0用于空间分析。 OLS结果显示,每10万人的基本生计接受者数量与SHDMR呈显着正相关,而受高等教育程度的比例则与SHDMR呈显着负相关。 GWR系数随所调查的区域而异,并且某些区域变量具有不同的方向。 GWR的调整后R2高于OLS。已经发现,SHDMR受社会经济状况的影响,但是由于所观察到的影响在该国所有地区都不一致,因此卫生政策的制定将需要考虑地区差异的可能性。

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