Suppr超能文献

阿尔茨海默病和相关痴呆症死亡率的地域差异。

Geographic disparities in mortality from Alzheimer's disease and related dementias.

机构信息

Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, North Carolina, USA.

Department of Surgery, Duke University Medical Center, Durham, North Carolina, USA.

出版信息

J Am Geriatr Soc. 2021 Aug;69(8):2306-2315. doi: 10.1111/jgs.17215. Epub 2021 May 19.

Abstract

OBJECTIVES

The regions with highest and lowest Alzheimer's disease (AD) mortality across the United States at state/county levels were identified and their contribution to the differences in total mortality rates between these regions was evaluated. The disease, disease group, sex, race/ethnicity, and place-of-death-related inter-region differences that engender the disparity in mortality were quantitatively described. The hypothesis that inter-regional differences in filling out death certificates are a major contributor to differences in AD mortality was tested.

DESIGN

Retrospective evaluation of death certificate data.

SETTING

The United States.

PARTICIPANTS

Deceased US residents, 1999-2018.

METHODS

Region-specific age-adjusted mortality rates and group-specific rate decomposition.

RESULTS

The county clusters with the highest and lowest AD mortality rates were in Washington (WA) and New York (NY), respectively, with other notable high-mortality clusters on the border of Tennessee, Georgia, and Alabama as well as in North Dakota and South Dakota. These patterns were stable over the 1999-2018 period. AD had the highest contribution to total mortality difference between WA and NY (156%, higher in WA), in contrast circulatory diseases had a contribution of comparable magnitude (154%) but were higher in NY. Differences in cause-of-death certificate coding, either through coding of non-AD dementias, or other conditions accompanying a potential AD death could not account for differences in AD mortality between NY and WA.

CONCLUSIONS

Inter-regional differences in filling out death certificates were not a major contributor to variation in AD mortality between the regions with the highest and lowest rates. The respective mitigation of the effects of neural and circulatory diseases and several other high-impact conditions would not negate the disparity in mortality between NY and WA.

摘要

目的

确定美国各州/县层面阿尔茨海默病(AD)死亡率最高和最低的地区,并评估其对这些地区总死亡率差异的贡献。定量描述了导致死亡率差异的疾病、疾病组、性别、种族/民族和死亡地点相关的区域间差异。测试了区域间填写死亡证明的差异是导致 AD 死亡率差异的主要原因的假设。

设计

回顾性评估死亡证明数据。

地点

美国。

参与者

1999 年至 2018 年期间死亡的美国居民。

方法

特定区域的年龄调整死亡率和特定组的死亡率分解。

结果

AD 死亡率最高和最低的县集群分别位于华盛顿(WA)和纽约(NY),田纳西州、佐治亚州和阿拉巴马州边境以及北达科他州和南达科他州也有其他明显的高死亡率集群。这些模式在 1999-2018 年期间保持稳定。AD 对 WA 和 NY 之间总死亡率差异的贡献最大(156%,WA 更高),而循环系统疾病的贡献相当(154%),但在 NY 更高。死亡证明编码方面的差异,无论是通过 AD 痴呆症的编码,还是其他伴随潜在 AD 死亡的疾病的编码,都不能解释 NY 和 WA 之间 AD 死亡率的差异。

结论

填写死亡证明的区域间差异不是导致死亡率最高和最低地区之间 AD 死亡率差异的主要原因。减轻神经和循环系统疾病以及其他几种高影响疾病的影响,并不会消除 NY 和 WA 之间的死亡率差异。

相似文献

2
2021 Alzheimer's disease facts and figures.2021 年阿尔茨海默病事实和数据。
Alzheimers Dement. 2021 Mar;17(3):327-406. doi: 10.1002/alz.12328. Epub 2021 Mar 23.
3
Burden of Alzheimer's disease-related mortality in the United States, 1999-2008.美国 1999-2008 年与阿尔茨海默病相关的死亡负担。
J Am Geriatr Soc. 2012 Aug;60(8):1509-14. doi: 10.1111/j.1532-5415.2012.04056.x. Epub 2012 Aug 2.
4
Population surveillance of dementia mortality.痴呆症死亡率的人群监测。
Int J Environ Res Public Health. 2011 Apr;8(4):1244-57. doi: 10.3390/ijerph8041244. Epub 2011 Apr 20.

引用本文的文献

9
The rising burden of Alzheimer's disease mortality in rural America.美国农村地区阿尔茨海默病死亡率不断上升的负担。
SSM Popul Health. 2022 Feb 24;17:101052. doi: 10.1016/j.ssmph.2022.101052. eCollection 2022 Mar.

本文引用的文献

6
Glioma and Alzheimer's Disease.胶质瘤与阿尔茨海默病。
J Alzheimers Dis Rep. 2018 Dec 14;2(1):213-218. doi: 10.3233/ADR-180084.
7
Detecting spatiotemporal clusters of dementia mortality in the United States, 2000-2010.2000 - 2010年美国痴呆症死亡率的时空聚集性检测
Spat Spatiotemporal Epidemiol. 2018 Nov;27:11-20. doi: 10.1016/j.sste.2018.07.001. Epub 2018 Jul 19.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验