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[德国的地区贫困:使用德国多重贫困指数(GIMD)对其与死亡率的关联进行全国性分析]

[Regional Deprivation in Germany: Nation-wide Analysis of its Association with Mortality Using the German Index of Multiple Deprivation (GIMD)].

作者信息

Hofmeister C, Maier W, Mielck A, Stahl L, Breckenkamp J, Razum O

机构信息

Fakultät für Gesundheitswissenschaften, AG Epidemiologie & International Public Health, Universität Bielefeld, Bielefeld.

Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt, Institut für Gesundheitsökonomie und Management im Gesundheitswesen, Neuherberg.

出版信息

Gesundheitswesen. 2016 Jan;78(1):42-8. doi: 10.1055/s-0034-1390421. Epub 2015 Feb 23.

Abstract

BACKGROUND

Deprivation indices are increasingly being used to assess the effects of contextual factors on health. In Germany, the recently developed 'German Index of Multiple Deprivation (GIMD)' integrates various dimensions of regional deprivation. We aim to assess the validity of the GIMD through a recalculation using more recent rural and urban district level data and by analysing its association with mortality at the national level.

METHODS

We calculated a new version of the GIMD based on data from 2007 to 2010 for all 412 rural and urban districts in Germany. Mortality was quantified using indirectly standardised mortality ratios (SMRs). Correlation analyses and Poisson regression analyses were used to assess the association between the GIMD scores and total mortality, as well as premature mortality (< 65 years).

RESULTS

Correlation analyses showed a positive association between the GIMD and both total mortality (p<0.001) and premature mortality (p<0.001). In the Poisson regression analyses, rural and urban districts in the quintile with the highest deprivation showed a significantly elevated risk of total mortality (RR: 1.29; 95% CI: 1.28-1.30) as well as premature mortality (RR: 1.50; 95% CI: 1.47-1.53), compared to the districts in the lowest quintile.

CONCLUSION

The association between regional deprivation and mortality has already been shown for the federal state of Bavaria. Using more recent data, this relationship could be confirmed here for Germany as a whole. The GIMD has been shown to be able to effectively assess regional deprivation. Concerning public health policy, the significant, positive and stable association between regional deprivation and mortality indicates an increased need for health care provision particularly in the most deprived districts. Further studies should examine, for example, whether and how the allocation of districts to quintiles of regional deprivation changes over time, and how this affects mortality.

摘要

背景

剥夺指数越来越多地用于评估背景因素对健康的影响。在德国,最近开发的“德国多重剥夺指数(GIMD)”整合了区域剥夺的各个维度。我们旨在通过使用更新的农村和城市地区层面数据重新计算,并分析其与全国死亡率的关联,来评估GIMD的有效性。

方法

我们基于2007年至2010年德国所有412个农村和城市地区的数据计算了一个新版本的GIMD。使用间接标准化死亡率(SMR)对死亡率进行量化。采用相关分析和泊松回归分析来评估GIMD得分与总死亡率以及过早死亡率(<65岁)之间的关联。

结果

相关分析表明GIMD与总死亡率(p<0.001)和过早死亡率(p<0.001)均呈正相关。在泊松回归分析中,与最贫困五分位数中的地区相比,最贫困五分位数中的农村和城市地区总死亡率(RR:1.29;95%CI:1.28 - 1.30)以及过早死亡率(RR:1.50;95%CI:1.47 - 1.53)的风险显著升高。

结论

巴伐利亚州已经显示出区域剥夺与死亡率之间的关联。使用更新的数据,在此能够证实德国整体存在这种关系。GIMD已被证明能够有效评估区域剥夺。关于公共卫生政策,区域剥夺与死亡率之间显著、正向且稳定的关联表明,尤其在最贫困地区,医疗保健服务的需求增加。进一步的研究应考察,例如,区域剥夺五分位数中地区的分配是否以及如何随时间变化,以及这如何影响死亡率。

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