Evidence map›Paper›PMID 37715463›Full record

ArticleAmerican journal of epidemiology2024

Constructing Residential Histories in a General Population-Based Representative Sample.

Wei Xu, Megan Agnew, Christina Kamis, Amy Schultz, Sarah Salas, Kristen Malecki, Michal Engelman

Abstract read
In one paragraph

Article in American journal of epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Article
  2. Accuracy of LexisNexis-derived retrospective address histories in the Sister Study cohort.Journal of exposure science & environmental epidemiology · 2026
    Article
  3. Article
  4. Article
  5. How does life course exposure to contextual disadvantage accelerate biological aging? The role of psychological symptoms.The journals of gerontology. Series B, Psychological sciences and social sciences · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Wei Xu
Megan Agnew
Christina Kamis
Amy Schultz
Sarah Salas
Kristen Malecki
Michal Engelman

Funding

Statistical Data Enclave CoreP30AG017266 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Michal Engelman · 1999 to 2026
$17.0M
Pilot Program CoreP30ES027792 · NIEHS · UNIVERSITY OF CHICAGO · PI Gokhan M. Mutlu, Gail S Prins · 2017 to 2026
$13.6M
POPULATION, LIFE COURSE, AND AGINGT32AG000129 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Michal Engelman · 1986 to 2026
$6.0M
Novel population health approach to address CVD and pulmonary health disparitiesRC2HL101468 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI NIETO, F. JAVIER · 2009 to 2010
$5.3M
Researching Institutional and Psychosocial Sources of Resiliency to Accelerated Biological AgingR01AG061080 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI ENGELMAN, MICHAL, MALECKI, KRISTEN MARY CHOSSEK · 2019 to 2023
$3.4M
NHLBI NIH HHS RC2 HL101468NIA NIH HHS P30 AG017266NIA NIH HHS R01 AG061080NIA NIH HHS T32 AG000129NIEHS NIH HHS P30 ES027792
6 · The paper itself

Abstract

Research on neighborhoods and health typically measures neighborhood context at a single point in time. However, neighborhood exposures accumulate over the life course, influenced by both residential mobility and neighborhood change, with potential implications for estimating the impact of neighborhoods on health. Commercial databases offer fine-grained longitudinal residential address data that can enrich life-course spatial epidemiology research, and validated methods for reconstructing residential histories from these databases are needed. Our study draws on unique data from a geographically diverse, population-based representative sample of adult Wisconsin residents and the LexisNexis (New York, New York) Accurint, a commercial personal profile database, to develop a systematic and reliable methodology for constructing individual residential histories. Our analysis demonstrated that creating residential histories across diverse geographical contexts is feasible, and it highlights differences in the information obtained from available residential histories by age, education, race/ethnicity, and rural/urban/suburban residency. Researchers should consider potential address data availability and information biases favoring socioeconomically advantaged individuals and their implications for studying health inequalities. Despite these limitations, LexisNexis data can generate varied residential exposure metrics and be linked to contextual data to enrich research into the contextual determinants of health at varied geographic scales.

Indexed as

EthnicityResidence CharacteristicsAdultBiasEpidemiologic StudiesHumansPopulation Dynamicshealthlife coursemobilityneighborhoodsresidential history

Identifiers

PMID37715463
PMCPMC10840075

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.