Department of Public Finance, School of Economics, Complutense University of Madrid, Campus de Somosaguas s/n, Pozuelo de Alarcón, Spain.
Int J Equity Health. 2012 Dec 14;11:77. doi: 10.1186/1475-9276-11-77.
Social factors have been proved to be main determinants of individuals' health. Recent studies have also analyzed the contribution of some of those factors, such as education and job status, to socioeconomic inequalities in health. The aim of this paper is to provide new evidence about the factors driving socioeconomic inequalities in health for the Spanish population by including housing deprivation and social interactions as health determinants.
Cross-sectional study based on the Spanish sample of European Statistics on Income and Living Conditions (EU-SILC) for 2006. The concentration index measuring income-related inequality in health is decomposed into the contribution of each determinant. Several models are estimated to test the influence of different regressors for three proxies of ill-health.
Health inequality favouring the better-off is observed in the distribution of self-assessed health, presence of chronic diseases and presence of limiting conditions. Inequality is mainly explained, besides age, by social factors such as labour status and financial deprivation. Housing deprivation contributes to pro-rich inequality in a percentage ranging from 7.17% to 13.85%, and social interactions from 6.16% to 10.19%. The contribution of some groups of determinants significantly differs depending on the ill-health variable used.
Health inequalities can be mostly reduced or shaped by policy, as they are mainly explained by social determinants such as labour status, education and other socioeconomic conditions. The major role played on health inequality by variables taking part in social exclusion points to the need to focus on the most vulnerable groups.
社会因素已被证明是个体健康的主要决定因素。最近的研究还分析了一些因素,如教育和工作地位,对健康的社会经济不平等的贡献。本文的目的是通过将住房剥夺和社会互动作为健康决定因素,为西班牙人口提供有关导致健康的社会经济不平等的因素的新证据。
基于 2006 年欧洲收入和生活条件统计(EU-SILC)的西班牙样本进行的横断面研究。衡量健康相关收入不平等的集中指数被分解为每个决定因素的贡献。为了测试不同回归量对三种健康不良指标的影响,估计了几个模型。
在自我评估健康、慢性疾病存在和限制条件存在的分布中,观察到有利于富裕阶层的健康不平等。除了年龄之外,不平等主要由社会因素解释,如劳动状况和经济剥夺。住房剥夺对贫富差距的贡献在 7.17%至 13.85%之间,社会互动的贡献在 6.16%至 10.19%之间。一些决定因素群体的贡献因使用的健康不良变量而异。
健康不平等可以通过政策来减少或塑造,因为它们主要由社会决定因素来解释,如劳动状况、教育和其他社会经济条件。参与社会排斥的变量在健康不平等中所扮演的重要角色,表明需要关注最弱势群体。