Hong Jihyung, Knapp Martin
LSE health and social care, Houghton Street, London, WC2A 2AE, UK,
J Ment Health Policy Econ. 2013 Sep;16(3):109-19.
Recent years have witnessed growing interest in determinants of suicide in South Korea. While much of the research has paid attention to the role of individual factors in explaining suicide mortality, another potentially important dimension of health inequality is geography.
To describe the geographical distribution of suicide rates in South Korea, and to examine to what extent the distribution is shaped by area deprivation.
Using 2004-2006 mortality data and 2005 population census data, the study first described the spatial mapping of age-standardised suicide rates and level of area deprivation across 250 districts in South Korea. A spatial lag model was also employed to examine the association between the two, taking into account the spatial dependence and interactions between neighbouring districts, as indicated by Moran's I and Geary' C statistics. In addition to level of area deprivation, population density, welfare spending, and rates of divorce, marriage and fertility at district-level were added to the model.
The spatial mapping of suicide rates across 250 districts exhibited a different pattern between males and females. While the highest suicide rates tended to cluster in the north-east region of South Korea for males, no clear pattern was observed for females. On the other hand, the lowest suicide rates for both males and females were found in most districts of the capital city. The results of the spatial lag model revealed a significant association between suicide rates and area deprivation, particularly for male suicide. Compared to the least deprived area, there were about 12-13 more male suicide cases (per 100,000 males) in highly deprived areas. The association with area deprivation was less clear for females. Population density was negatively associated with suicide rates for both males and females. While suicide rates were in general positively associated with divorce rates and negatively associated with fertility rates, the coefficients of both were not significant in the model for females.
The study highlighted substantial geographical variation in suicide rates across South Korea. Such variation can be largely explained by level of area deprivation, especially for males. The level of excess suicides (i.e. 12-13 per 100,000 males) in highly deprived areas was similar to the average suicide rates of OECD countries. Due to the paucity of individual-level data however, the study was unable to test whether or not these associations were independent of population composition.
Prioritising development in relatively more deprived areas would potentially minimise resource barriers. Since such area-based approaches focus on a body with clear responsibility (i.e. local authority) and a greater relevance for local residents, programmes and services can be more effectively tailored to local needs and also more effectively delivered to local residents.
Alternative sources of data with individual-level data should be explored to strengthen the basis of the present findings, and also to examine the exact mechanism underlying the associations between suicide rates and area deprivation.
近年来,韩国对自杀决定因素的关注日益增加。虽然许多研究关注个体因素在解释自杀死亡率方面的作用,但健康不平等的另一个潜在重要维度是地理因素。
描述韩国自杀率的地理分布,并考察这种分布在多大程度上受地区贫困程度的影响。
利用2004 - 2006年死亡率数据和2005年人口普查数据,该研究首先描述了韩国250个地区年龄标准化自杀率和地区贫困水平的空间分布。还采用了空间滞后模型来考察两者之间的关联,同时考虑到相邻地区之间的空间依赖性和相互作用,这由莫兰指数(Moran's I)和吉尔里系数(Geary' C)统计量表示。除地区贫困水平外,还将地区层面的人口密度、福利支出以及离婚率、结婚率和生育率纳入模型。
250个地区自杀率的空间分布在男性和女性之间呈现出不同模式。男性的最高自杀率往往集中在韩国东北部地区,而女性则未观察到明显模式。另一方面,男性和女性的最低自杀率均出现在首都的大多数地区。空间滞后模型的结果显示自杀率与地区贫困程度之间存在显著关联,尤其是男性自杀情况。与最不贫困地区相比,高度贫困地区每10万男性中自杀案例多约12 - 13例。女性与地区贫困程度的关联不太明显。人口密度与男性和女性的自杀率均呈负相关。虽然自杀率总体上与离婚率呈正相关,与生育率呈负相关,但在女性模型中两者的系数均不显著。
该研究突出了韩国自杀率存在显著的地理差异。这种差异在很大程度上可以由地区贫困程度来解释,尤其是男性。高度贫困地区的自杀超额水平(即每10万男性中有12 - 13例)与经合组织国家的平均自杀率相似。然而,由于个体层面数据匮乏,该研究无法检验这些关联是否独立于人口构成。
优先发展相对更贫困地区可能会最大限度地减少资源障碍。由于这种基于地区的方法关注有明确责任的主体(即地方当局)且与当地居民相关性更强,项目和服务可以更有效地根据当地需求进行调整,并更有效地提供给当地居民。
应探索具有个体层面数据的替代数据来源,以加强当前研究结果的基础,并考察自杀率与地区贫困程度之间关联的具体机制。