邀请评论:改善每个人的空间暴露数据-生活过程社会背景和确定住宅历史
Kendra D Sims1, M Maria Glymour1, Collette N Ncube1
1Department of Epidemiology, School of Public Health, Boston University, Boston, MA 02118, United States.
American journal of epidemiology
|August 4, 2024
概括
准确的住房病史对于生命过程流行病学和理解健康差异至关重要. 连接住宅数据的新方法面临着偏差的挑战,需要仔细分析才能进行可靠的暴露评估.
科学领域:
- 生命过程流行病学
- 环境健康 环境健康
- 健康差异研究 研究健康差异研究
背景情况:
- 纵向住宅数据对于评估累积暴露和了解健康差异至关重要.
- 将住宅历史与时空数据库联系起来,可以描述个人的生活背景.
- 在美国,由于行政登记和自我报告的局限性,难以获得准确的住宅历史数据.
研究的目的:
- 评论在健康差异研究中使用住宅历史数据的方法论挑战和优先事项.
- 突出分析住宅历史数据收集中的偏见的重要性.
- 强调在解释住宅流动模式时需要一个生命周期框架.
主要方法:
- 审查一种方法,将LexisNexis Accurint的住宅历史与研究队列联系起来.
- 讨论住宅历史数据中的选择和错误分类偏差.
- 生命周期框架的应用,以了解住宅流动的模式.
主要成果:
- 从队列数据中确定准确的住宅历史存在重大挑战,包括潜在的偏见.
- 住宅流动模式受到年龄,出生队列,种族/族裔,社会经济地位和城市化的影响.
- 历史和当代的移民模式,特别是边缘化人口的移民模式,必须为数据的解释提供信息.
结论:
- 方法优先事项包括将住宅历史与移动的决定因素联系起来,三角化暴露评估和量化测量误差.
- 透明地解决偏见和测量错误对于有效的健康差异研究至关重要.
- 整合生命历程视角和迁移模式,提高了住宅历史数据的实用性.
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