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疾病风险的空间连续地图:美国死亡率差异分析

Spatially Continuous Maps of Disease Risk: An Analysis of Mortality Disparities in the United States.

作者信息

Ruiz-Suarez Sofia, Brown Patrick

机构信息

Department of Statistical Sciences, University of Toronto, Toronto, Ontario, Canada.

Centre for Global Health and Research, St. Michael's Hospital, Toronto, Ontario, Canada.

出版信息

AJPM Focus. 2025 Mar 22;4(4):100334. doi: 10.1016/j.focus.2025.100334. eCollection 2025 Aug.

Abstract

INTRODUCTION

In the U.S., race and education have proven to be critical determinants of health outcomes inequalities, influenced by both location and time. Lung cancer (primarily linked to smoking), along with drug overdoses, alcohol poisoning, and suicide, emerge as important contributors to mortality risk. The purpose of this study is to enhance the understanding of geographic disparities in mortality related to lung cancer and external causes of death in the U.S. This study focuses on a finer geographic scale while examining the components of variation in mortality rates, stratifying by both education and race.

METHODS

This study used an aggregated spatial model and Bayesian inference to create continuous maps of risk. The study analyzes mortality counts from 1999 to 2015. This approach not only allows one to analyze and combine data sources at different spatial resolutions in a shorter time, but also facilitates standardized comparisons across age, sex, education, and spatial location.

RESULTS

Education emerged as the primary source of variation in both types of mortality, with growing disparities since 1999. Spatially, mortality risk varies more among the less educated and less among the more educated. Lung cancer rates have declined for the most educated but stayed steady for the less educated, while external causes of death rates rose for the less educated but remain unchanged for the more educated ones. Racial differences are significant for external causes of death but minimal for lung cancer.

CONCLUSIONS

These findings highlight the need to go beyond education as a simple predictor variable in mortality studies, while also accounting for the differences in the nature of spatial variation. While the impact of education on mortality rates is unsurprising, the fact that Black Americans on average encounter inferior socioeconomic conditions compared to White Americans, may explain why this group is usually recognized at higher risk. This investigation suggests that addressing racial disparities in education levels could help to reduce tobacco-related mortality discrepancies effectively.

摘要

引言

在美国,种族和教育已被证明是健康结果不平等的关键决定因素,受到地理位置和时间的影响。肺癌(主要与吸烟有关),以及药物过量、酒精中毒和自杀,成为死亡风险的重要因素。本研究的目的是加深对美国肺癌及外部死因相关死亡率地理差异的理解。本研究聚焦于更精细的地理尺度,同时考察死亡率变化的组成部分,并按教育程度和种族进行分层。

方法

本研究使用聚合空间模型和贝叶斯推理来创建风险连续地图。该研究分析了1999年至2015年的死亡人数。这种方法不仅能让人在更短时间内分析和整合不同空间分辨率的数据源,还便于跨年龄、性别、教育程度和地理位置进行标准化比较。

结果

教育成为两种死亡率变化的主要来源,自1999年以来差距不断扩大。在空间上,受教育程度较低者的死亡风险差异更大,受教育程度较高者的差异较小。肺癌发病率在受教育程度最高的人群中有所下降,但在受教育程度较低的人群中保持稳定,而外部死因死亡率在受教育程度较低的人群中上升,但在受教育程度较高的人群中保持不变。种族差异在外部死因方面显著,但在肺癌方面最小。

结论

这些发现凸显了在死亡率研究中,除了将教育作为一个简单的预测变量之外,还需要考虑空间变异性质的差异。虽然教育对死亡率的影响并不意外,但与美国白人相比,美国黑人平均面临较差的社会经济状况这一事实,可能解释了为什么这个群体通常被认为风险更高。这项调查表明,解决教育水平上的种族差异有助于有效减少与烟草相关的死亡率差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/28bf/12141063/c9dd489c5848/gr1.jpg

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