Choi Min Hyeok, Cheong Kyu Seok, Cho Byung Mann, Hwang In Kyung, Kim Chang Hun, Kim Myoung Hee, Hwang Seung Sik, Lim Jeong Hun, Yoon Tae Ho
Department of Preventive & Occupational Medicine, School of Medicine, Pusan National University, Busan, Korea.
J Prev Med Public Health. 2011 Nov;44(6):242-8. doi: 10.3961/jpmph.2011.44.6.242.
Busan is reported to have the highest mortality rate among 16 provinces in Korea, as well as considerable health inequality across its districts. This study sought to examine overall and cause-specific mortality and deprivation at the town level in Busan, thereby identifying towns and causes of deaths to be targeted for improving overall health and alleviating health inequality.
Standardized mortality ratios (SMRs) for all-cause and four specific leading causes of death were calculated at the town level in Busan for the years 2005 through 2008. To construct a deprivation index, principal components and factor analysis were adopted, using 10% sample data from the 2005 census. Geographic information system (GIS) mapping techniques were applied to compare spatial distributions between the deprivation index and SMRs. We fitted the Gaussian conditional autoregressive model (CAR) to estimate the relative risks of mortality by deprivation level, controlling for both the heterogeneity effect and spatial autocorrelation.
The SMRs of towns in Busan averaged 100.3, ranging from 70.7 to 139.8. In old inner cities and towns reclaimed for replaced households, the deprivation index and SMRs were relatively high. CAR modeling showed that gaps in SMRs for heart disease, cerebrovascular disease, and physical injury were particularly high.
Our findings indicate that more deprived towns are likely to have higher mortality, in particular from cardiovascular disease and physical injury. To improve overall health status and address health inequality, such deprived towns should be targeted.
据报道,釜山是韩国16个省份中死亡率最高的地区,其各辖区之间还存在相当大的健康不平等。本研究旨在调查釜山镇一级的总体死亡率和特定病因死亡率以及贫困状况,从而确定为改善整体健康和缓解健康不平等而应关注的城镇和死亡原因。
计算了2005年至2008年釜山镇一级全因死亡率以及四种主要特定死因的标准化死亡率(SMR)。为构建贫困指数,采用主成分分析和因子分析方法,使用了2005年人口普查10%的样本数据。应用地理信息系统(GIS)绘图技术比较贫困指数与标准化死亡率之间的空间分布。我们拟合了高斯条件自回归模型(CAR),以估计不同贫困水平下的死亡相对风险,同时控制异质性效应和空间自相关性。
釜山各城镇的标准化死亡率平均为100.3,范围在70.7至139.8之间。在老旧市中心和为搬迁家庭开垦的城镇,贫困指数和标准化死亡率相对较高。CAR模型显示,心脏病、脑血管疾病和身体伤害的标准化死亡率差距尤为明显。
我们的研究结果表明,贫困程度较高的城镇死亡率可能更高,尤其是心血管疾病和身体伤害导致的死亡率。为改善整体健康状况并解决健康不平等问题,应关注这些贫困城镇。