Kroll Lars Eric, Schumann Maria, Hoebel Jens, Lampert Thomas
Robert Koch Institute, Department for Epidemiology and Health Monitoring, Berlin, Germany.
J Health Monit. 2017 Jun 14;2(2):98-114. doi: 10.17886/RKI-GBE-2017-048.2. eCollection 2017 Jun.
For Germany, regional differences for various health indicators, which are also associated with socioeconomic factors, have been documented. This article aims to develop a regional socioeconomic deprivation index for Germany that (1) can be used to analyse regional socioeconomic inequalities in health and (2) provides a basis for explaining regional health differences in Germany. The core data stem from the INKAR (indicators and maps on spatial and urban development in Germany and Europe) database compiled by Germany's Federal Institute for Research on Building, Urban Affairs and Spatial Development. Factor analysis is used for indexing and the weighting of indicators for the three dimensions of education, occupation and income. The German Index of Socioeconomic Deprivation (GISD) is generated at the levels of associations of municipalities, administrative districts and administrative regions for the years 1998, 2003, 2008 and 2012. Aggregate data and individual data from the German Health Update 2014/2015-EHIS (GEDA 2014/2015-EHIS) study are used to analyse associations between the index and selected health indicators. For around two thirds of the causes of death, the German Index of Socioeconomic Deprivation reveals significant socioeconomic inequalities at the level of Germany's administrative regions. At district level, life expectancy in the bottom fifth of districts presenting the highest levels of deprivation is, depending on the observation period, 1.3 years lower for women and 2.6 years lower for men in comparison to the upper fifth of districts presenting the lowest levels of deprivation. The index can explain 45.5% and 62.2% of regional differences in life expectancy for women and men, respectively. Moreover, the population in regions characterised by high levels of deprivation has significantly higher rates of smokers, engages less frequently in leisure-time physical activities and is more often obese. The German Index of Socioeconomic Deprivation illustrates regional socioeconomic differences at different spatial levels and contributes to explaining regional health differences. This index is intended for use in research as well as by federal and federal state health reporting systems and should enable access to new sources of data for investigating the links between social inequalities and health in Germany.
在德国,已记录到各种健康指标存在地区差异,这些差异也与社会经济因素相关。本文旨在制定一个德国地区社会经济剥夺指数,该指数(1)可用于分析健康方面的地区社会经济不平等状况,(2)为解释德国的地区健康差异提供依据。核心数据源自德国联邦建筑、城市事务与空间发展研究所编制的INKAR(德国和欧洲空间与城市发展指标及地图)数据库。采用因子分析对教育、职业和收入这三个维度的指标进行索引和加权。德国社会经济剥夺指数(GISD)在1998年、2003年、2008年和2012年的市镇协会、行政区和行政区层面生成。利用2014/2015年德国健康更新-EHIS(GEDA 2014/2015-EHIS)研究中的汇总数据和个体数据,分析该指数与选定健康指标之间的关联。对于约三分之二的死因,德国社会经济剥夺指数在德国行政区层面揭示了显著的社会经济不平等。在地区层面,与贫困程度最低的五分之一地区相比,贫困程度最高的五分之一地区的女性预期寿命在不同观察期内低1.3岁,男性低2.6岁。该指数分别可以解释女性和男性预期寿命地区差异的45.5%和62.2%。此外,贫困程度高的地区的人口吸烟率显著更高,较少参与休闲体育活动,且肥胖率更高。德国社会经济剥夺指数说明了不同空间层面的地区社会经济差异,并有助于解释地区健康差异。该指数旨在用于研究以及联邦和联邦州的健康报告系统,应能为调查德国社会不平等与健康之间的联系提供新的数据来源。