German Index of Socioeconomic Deprivation (GISD): Revision, update and applications.

Journal of health monitoring Pub Date : 2022-12-09 eCollection Date: 2022-12-01 DOI:10.25646/10641
Niels Michalski, Marvin Reis, Fabian Tetzlaff, Meik Herber, Lars Eric Kroll, Claudia Hövener, Enno Nowossadeck, Jens Hoebel
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Abstract

Background: Regional deprivation indices enable researchers to analyse associations between socioeconomic disadvantages and health outcomes even if the health data of interest does not include information on the individuals' socioeconomic position. This article introduces the recent revision of the German Index of Socioeconomic Deprivation (GISD) and presents associations with life expectancy as well as age-standardised cardiovascular mortality rates and cancer incidences as applications.

Methods: The GISD measures the level of socioeconomic deprivation using administrative data of education, employment, and income situations at the district and municipality level from the INKAR database. The indicators are weighted via principal component analyses. The regional distribution is depicted cartographically, regional level associations with health outcomes are presented.

Results: The principal component analysis indicates medium to high correlations of the indicators with the index subdimensions. Correlation analyses show that in districts with the lowest deprivation, the average life expectancy of men is approximately six years longer (up to three years longer for women) than for those from districts with the highest deprivation. A similar social gradient is observed for cardiovascular mortality and lung cancer incidence.

Conclusions: The GISD provides a valuable tool to analyse socioeconomic inequalities in health conditions, diseases, and their determinants at the regional level.

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德国社会经济贫困指数(GISD):修订、更新和应用。
背景:地区贫困指数使研究人员能够分析社会经济劣势与健康结果之间的关联,即使相关的健康数据不包括个人的社会经济地位信息。本文介绍了最近修订的德国社会经济贫困指数(GISD),并将其与预期寿命以及年龄标准化心血管死亡率和癌症发病率之间的关联作为应用进行了介绍:GISD 使用 INKAR 数据库中地区和市一级的教育、就业和收入情况的行政数据来衡量社会经济贫困程度。这些指标通过主成分分析进行加权。结果:主成分分析表明,各项指标与指数子维度之间存在中高相关性。相关性分析表明,在贫困程度最低的地区,男性的平均预期寿命比贫困程度最高的地区的男性平均预期寿命长约 6 年(女性长达 3 年)。在心血管死亡率和肺癌发病率方面也观察到类似的社会梯度:GISD 为分析区域一级健康状况、疾病及其决定因素方面的社会经济不平等现象提供了宝贵的工具。
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