Constructing a deprivation index based on census data in large Spanish cities: (the MEDEA project)
Constructing a deprivation index based on census data in large Spanish cities: (the MEDEA project)
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DOI：
10.1157/13123961
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发表时间：
2008-06-01
期刊：
影响因子：
1.9
通讯作者：
Escolar-Pujolar, Antonio
中科院分区：
文献类型：
--
作者：
Domínguez-Berjón, M. Felícitas;Borrell, Carme;Escolar-Pujolar, Antonio
目的：a）描述用于构建城市人口普查区贫困指数的方法，以确定社会经济条件最差的区域，和B）分析该指数与总体mortality.Methods之间的关联：几个社会经济指标（2001年人口普查）由以下城市的人口普查区定义：巴塞罗那，毕尔巴鄂，马德里，塞维利亚和瓦伦西亚。分析了其与标化死亡率（1996-2003年）的相关性，以及与社会经济指标的维度关系。最后，选定的指标聚合在一个指数，在该指数中的结果的因素负荷提取一个因素的主成分作为weightingvalues.Results：与整体死亡率的相关性最强的指标是那些有关的工作，教育，住房条件和单亲家庭。在对维度的分析中，第一个维度包含与工作（失业、体力劳动者和最终工人）和教育（总体教育和年轻人教育不足）有关的指标。在所有研究的城市中，使用这5个指标创建的指数解释了75%以上的变异性。这个指数和死亡率之间的相关性一般表现出较高的值比那些获得与每个指标separately.Conclusions：剥夺指数建议可以是一个有用的工具，为健康规划，因为它检测小面积的大城市不利的社会经济特征，并与死亡率。这一指数有助于研究西班牙在保健方面的社会不平等现象。
Objectives: a) To describe the methodology used to construct a deprivation index by census tract in cities, to identify the tracts with the least favorable socioeconomic conditions, and b) to analyze the association between this index and overall mortality.Methods: Several socioeconomic indicators (Census 2001) were defined by the census tracts of the following cities: Barcelona, Bilbao, Madrid, Seville and Valencia. The correlations with the standardized mortality ratio (1996-2003), and the dimensionality of the socioeconomic indicators were studied. Finally, the selected indicators were aggregated in an index, in which the results of the factor loadings from extraction of a factor by principal components were used as weighting values.Results: The indicators with the strongest correlations with overall mortality were those related to work, education, housing conditions and single parent homes. In the analysis of dimensionality, a first dimension appeared that contained indicators related to work (unemployment, manual and eventual workers) and education (insufficient education overall and in young people). In all the cities studied, the index created with these 5 indicators explained more than 75% of their variability. The correlations between this index and mortality generally showed higher values than those obtained with each indicator separately.Conclusions: The deprivation index proposed could be a useful instrument for health planning as it detects small areas of large cities with unfavorable socioeconomic characteristics and is associated with mortality. This index could contribute to the study of social inequalities in health in Spain.