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从脑库队列中推导生命历程居住史:一项可行性研究。

Deriving life-course residential histories in brain bank cohorts: A feasibility study.

机构信息

Department of Population Health Sciences, University of Wisconsin School of Medicine and Public Health, Warf Office Bldg, Madison, USA.

Center for Health Disparities Research, University of Wisconsin School of Medicine and Public Health, UW Hospital and Clinics, Madison, USA.

出版信息

Alzheimers Dement. 2024 May;20(5):3219-3227. doi: 10.1002/alz.13773. Epub 2024 Mar 18.

DOI:10.1002/alz.13773
PMID:38497250
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11095419/
Abstract

INTRODUCTION

The exposome is theorized to interact with biological mechanisms to influence risk for Alzheimer's disease but is not well-integrated into existing Alzheimer's Disease Research Center (ADRC) brain bank data collection.

METHODS

We apply public data tracing, an iterative, dual abstraction and validation process rooted in rigorous historic archival methods, to develop life-course residential histories for 1254 ADRC decedents.

RESULTS

The median percentage of the life course with an address is 78.1% (IQR 24.9); 56.5% of the sample has an address for at least 75% of their life course. Archivists had 89.7% agreement at the address level. This method matched current residential survey methodology 97.4% on average.

DISCUSSION

This novel method demonstrates feasibility, reproducibility, and rigor for historic data collection. To our knowledge, this is the first study to show that public data tracing methods for brain bank decedent residential history development can be used to better integrate the social exposome with biobank specimens.

HIGHLIGHTS

Public data tracing compares favorably to survey-based residential history. Public data tracing is feasible and reproducible between archivists. Archivists achieved 89.7% agreement at the address level. This method identifies residences for nearly 80% of life-years, on average. This novel method enables brain banks to add social characterizations.

摘要

简介

外核体理论上与生物学机制相互作用,影响阿尔茨海默病的风险,但尚未很好地融入现有的阿尔茨海默病研究中心(ADRC)脑库数据收集。

方法

我们应用公共数据追踪,这是一种基于严格历史档案方法的迭代、双重抽象和验证过程,为 1254 名 ADRC 死者开发了生命历程居住史。

结果

生命历程中地址中位数百分比为 78.1%(IQR 24.9);56.5%的样本至少有 75%的生命历程中有地址。档案员在地址级别上的一致性为 89.7%。这种方法平均与当前的居住调查方法有 97.4%的匹配度。

讨论

这种新方法证明了历史数据收集的可行性、可重复性和严谨性。据我们所知,这是第一项表明公共数据追踪方法可用于开发脑库死者居住史以更好地将社会外核体与生物库标本相结合的研究。

重点

公共数据追踪与基于调查的居住史相比具有优势。公共数据追踪在档案员之间是可行且可重复的。档案员在地址级别上达成了 89.7%的一致性。这种方法平均确定了近 80%的生命年的住所。这种新方法使脑库能够添加社会特征。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1ec/11095419/dc29aece6131/ALZ-20-3219-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1ec/11095419/a17af09db4fc/ALZ-20-3219-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1ec/11095419/0fb4ef5a4cbf/ALZ-20-3219-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1ec/11095419/dc29aece6131/ALZ-20-3219-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1ec/11095419/a17af09db4fc/ALZ-20-3219-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1ec/11095419/0fb4ef5a4cbf/ALZ-20-3219-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1ec/11095419/dc29aece6131/ALZ-20-3219-g003.jpg

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