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The Spatial Pattern of Suicide in the US in Relation to Deprivation, Fragmentation and Rurality

机译:美国与贫困,分裂和乡村化相关的自杀空间格局

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摘要

Analysis of geographical patterns of suicide and psychiatric morbidity has demonstrated the impact of latent ecological variables (such as deprivation, rurality). Such latent variables may be derived by conventional multivariate techniques from sets of observed indices (for example, by principal components), by composite variable methods or by methods which explicitly consider the spatial framework of areas and, in particular, the spatial clustering of latent risks and outcomes. This article considers a latent random variable approach to explaining geographical contrasts in suicide in the US; and it develops a spatial structural equation model incorporating deprivation, social fragmentation and rurality. The approach allows for such latent spatial constructs to be correlated both within and between areas. Potential effects of area ethnic mix are also included. The model is applied to male and female suicide deaths over 2002-06 in 3142 US counties.
机译:对自杀和精神病发病率的地理格局的分析表明,潜在的生态变量(如贫困,农村人口)的影响。此类潜在变量可以通过常规的多元技术从观测指标集(例如,通过主成分),通过复合变量方法或通过明确考虑区域空间框架,尤其是潜在风险的空间聚类的方法得出。和结果。本文考虑了一种潜在的随机变量方法来解释美国自杀的地域差异。并建立了一个包含贫困,社会碎片化和乡村化的空间结构方程模型。该方法允许这种潜在的空间构造在区域内和区域之间相关。还包括区域种族混合的潜在影响。该模型适用于美国3142个县的2002-06年度男性和女性自杀死亡。

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  • 来源
    《Urban Studies》 |2011年第10期|p.2101-2122|共22页
  • 作者

    Peter Congdon;

  • 作者单位

    Department of Geography, Queen Mary University of London, Mile End Rd, London, E1 4NS, UK;

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  • 正文语种 eng
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