ArticleAmerican journal of epidemiology2025
Invited commentary: improving spatial exposure data for everyone-life-course social context and ascertaining residential history.
Article in American journal of epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Accuracy of LexisNexis-derived retrospective address histories in the Sister Study cohort.Journal of exposure science & environmental epidemiology · 2026Article
- Neighborhood characteristics and incident myocardial infarction in US older adults: evaluation in 2 nationwide cohorts.American journal of epidemiology · 2025Article
- Xu et al respond to "Invited commentary: improving spatial exposure data for everyone-life-course social context and ascertaining residential history".American journal of epidemiology · 2025Article
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4 authors.
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Abstract
Measuring age-specific, contextual exposures is crucial for life-course epidemiology research. Longitudinal residential data offer a "golden ticket" to cumulative exposure metrics and can enhance our understanding of health disparities. Residential history can be linked to myriad spatiotemporal databases to characterize environmental, socioeconomic, and policy contexts that a person has experienced throughout life. However, obtaining accurate residential history is challenging in the United States due to the limitations of administrative registries and self-reports. In a recent article, Xu et al (Am J Epidemiol. 2024;193(2):348-359) detailed an approach to linking residential history sourced from LexisNexis Accurint to a Wisconsin-based research cohort, offering insights into challenges with collection of residential history data. Researchers must analyze the magnitude of selection and misclassification biases inherent to ascertaining residential history from cohort data. A life-course framework can provide insights into why the frequency and distance of moves is patterned by age, birth cohort, racial/ethnic identity, socioeconomic status, and urbanicity. Historical and contemporary migration patterns of marginalized people seeking economic and political opportunities must guide interpretations of residential history data. In this commentary, we outline methodological priorities for use of residential history in health disparities research, including contextualizing residential history data with determinants of residential moves, triangulating spatial exposure assessment methods, and transparently quantifying measurement error.
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