Feasibility and limitations of using commercial databases to evaluate residential mobility in registry-based research on childhood cancer

Cancer Epidemiol. 2024 Jun:90:102561. doi: 10.1016/j.canep.2024.102561. Epub 2024 Mar 15.

Abstract

Background: Researchers have used commercial databases containing residential addresses to reduce exposure misclassification in case-control studies. Our objective is to evaluate the potential systematic bias regarding case status when reconstructing residential locations from commercial databases.

Methods: Our study population of 3640 Colorado-born children includes 520 children diagnosed with acute lymphocytic leukemia between 2002 and 2019. We aligned addresses and date ranges obtained from LexisNexis with registry dates to determine three dichotomous outcomes: Found in LexisNexis, conception date found in LexisNexis, and reference date/diagnosis date found in LexisNexis. We applied logistic regression to determine whether outcomes differed by case status.

Results: Mothers of cases were 39% more likely to be found in LexisNexis than mothers of controls (OR = 1.39, 95% CI: 0.97, 2). Of the mothers found in LexisNexis, a conception address was 33% more likely (OR= 1.33, 95% CI: 1.06, 1.66) and a reference/diagnosis address was 60% more likely (OR= 1.60, 95% CI: 1.21, 2.12) to be found for mothers of cases than mothers of controls.

Conclusion: This study indicates that use of commercial databases to reconstruct residential locations may systematically bias results in case-control studies of childhood cancers.

Keywords: Case-control studies; Childhood Cancer; Commercial databases; Residential histories.

MeSH terms

  • Adolescent
  • Case-Control Studies
  • Child
  • Child, Preschool
  • Colorado / epidemiology
  • Databases, Factual*
  • Feasibility Studies*
  • Female
  • Humans
  • Infant
  • Male
  • Neoplasms / epidemiology
  • Precursor Cell Lymphoblastic Leukemia-Lymphoma / diagnosis
  • Precursor Cell Lymphoblastic Leukemia-Lymphoma / epidemiology
  • Registries* / statistics & numerical data