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瑞士2008 - 2012年主要死因死亡率地图集。

Mortality atlas of the main causes of death in Switzerland, 2008-2012.

作者信息

Chammartin Frédérique, Probst-Hensch Nicole, Utzinger Jürg, Vounatsou Penelope

机构信息

Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland.

出版信息

Swiss Med Wkly. 2016 Feb 22;146:w14280. doi: 10.4414/smw.2016.14280. eCollection 2016.

Abstract

PRINCIPLES

Analysis of the spatial distribution of mortality data is important for identification of high-risk areas, which in turn might guide prevention, and modify behaviour and health resources allocation. This study aimed to update the Swiss mortality atlas by analysing recent data using Bayesian statistical methods. We present average pattern for the major causes of death in Switzerland.

METHODS

We analysed Swiss mortality data from death certificates for the period 2008-2012. Bayesian conditional autoregressive models were employed to smooth the standardised mortality rates and assess average patterns. Additionally, we developed models for age- and gender-specific sub-groups that account for urbanisation and linguistic areas in order to assess their effects on the different sub-groups.

RESULTS

We describe the spatial pattern of the major causes of death that occurred in Switzerland between 2008 and 2012, namely 4 cardiovascular diseases, 10 different kinds of cancer, 2 external causes of death, as well as chronic respiratory diseases, Alzheimer's disease, diabetes, influenza and pneumonia, and liver diseases. In-depth analysis of age- and gender-specific mortality rates revealed significant disparities between urbanisation and linguistic areas.

CONCLUSIONS

We provide a contemporary overview of the spatial distribution of the main causes of death in Switzerland. Our estimates and maps can help future research to deepen our understanding of the spatial variation of major causes of death in Switzerland, which in turn is crucial for targeting preventive measures, changing behaviours and a more cost-effective allocation of health resources.

摘要

原则

分析死亡率数据的空间分布对于识别高风险地区很重要,这反过来可能指导预防工作,并改变行为和卫生资源分配。本研究旨在通过使用贝叶斯统计方法分析近期数据来更新瑞士死亡率地图集。我们展示了瑞士主要死因的平均模式。

方法

我们分析了2008 - 2012年期间瑞士死亡证明中的死亡率数据。采用贝叶斯条件自回归模型来平滑标准化死亡率并评估平均模式。此外,我们为考虑了城市化和语言区域的特定年龄和性别的亚组建立了模型,以评估它们对不同亚组的影响。

结果

我们描述了2008年至2012年期间瑞士发生的主要死因的空间模式,即4种心血管疾病、10种不同类型的癌症、2种外部死因,以及慢性呼吸道疾病、阿尔茨海默病、糖尿病、流感和肺炎,还有肝病。对特定年龄和性别的死亡率进行深入分析后发现,城市化和语言区域之间存在显著差异。

结论

我们提供了瑞士主要死因空间分布的当代概述。我们的估计和地图有助于未来的研究加深我们对瑞士主要死因空间变异的理解,这反过来对于确定预防措施、改变行为以及更具成本效益地分配卫生资源至关重要。

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