Domínguez-Berjón M Felícitas, Borrell Carme, López Rosario, Pastor Vicente
Servicio de Salud Pública del Area 2, Comunidad de Madrid, Madrid, Spain.
J Urban Health. 2005 Jun;82(2):225-36. doi: 10.1093/jurban/jti047. Epub 2005 May 11.
In southern European cities, research on deprivation and mortality inequalities using small-area analysis is recent. In many countries, the census tract (CT) is the smallest territorial unit for which population data are available. The aim of this study was to examine the association between mortality from all causes and socioeconomic deprivation in CTs in Barcelona (Spain). A cross-sectional ecologic study was carried out using mortality data for 1987-1995 and 1991 census variables. Mortality data were obtained from death certificates. Socioeconomic deprivation indicators were drawn from the census and included unemployment, inadequate education, and low social class. They were correlated, and a deprivation index was elaborated with them. The analysis was descriptive, and multivariate Poisson regression models were adjusted. The most deprived CTs tend to present higher mortality (49.7% of CT in the quartile associated with greatest deprivation were included in the top male mortality quartile and 40.4% in the top female mortality quartile), whereas the less deprived ones present lower mortality. For male mortality, the risk of dying among those in the quartile representing most deprivation is from 25 to 29% higher (depending on the indicator chosen) than the least deprived quartile, and for women, it is from 12 to 14% higher. We concluded that the mortality from all causes in the CT of a southern European city has shown a clear positive association with a variety of socioeconomic deprivation indicators drawn from the census. Studies of this nature may help to orient more specific studies in which CTs are grouped together as a function of particular population and/or health characteristics.
在欧洲南部城市,利用小区域分析对贫困与死亡率不平等进行的研究起步较晚。在许多国家,普查区(CT)是可获取人口数据的最小地域单位。本研究的目的是调查西班牙巴塞罗那普查区所有原因导致的死亡率与社会经济贫困之间的关联。利用1987 - 1995年的死亡率数据和1991年的普查变量开展了一项横断面生态学研究。死亡率数据来自死亡证明。社会经济贫困指标取自普查,包括失业、教育程度不足和社会阶层较低。这些指标相互关联,并据此制定了一个贫困指数。分析采用描述性方法,并对多元泊松回归模型进行了调整。贫困程度最高的普查区往往死亡率较高(与最贫困相关的四分位数中的49.7%的普查区被纳入男性死亡率最高的四分位数,40.4%被纳入女性死亡率最高的四分位数),而贫困程度较低的普查区死亡率较低。对于男性死亡率,代表最贫困四分位数人群的死亡风险比最不贫困四分位数人群高25%至29%(取决于所选指标),对于女性则高12%至14%。我们得出结论,欧洲南部城市普查区所有原因导致的死亡率与从普查中得出的各种社会经济贫困指标之间存在明显的正相关。此类性质的研究可能有助于为更具体的研究指明方向,在这些研究中,普查区根据特定的人口和/或健康特征进行分组。