Measurement error in mobile source air pollution exposure estimates due to residential mobility during pregnancy

Audrey Flak Pennington, Matthew J. Strickland, Mitchel Klein, Xinxin Zhai, Armistead G. Russell, Craig Anthony Hansen, Lyndsey A. Darrow

Research output: Contribution to journalArticle

16 Citations (Scopus)

Abstract

Prenatal air pollution exposure is frequently estimated using maternal residential location at the time of delivery as a proxy for residence during pregnancy. We describe residential mobility during pregnancy among 19,951 children from the Kaiser Air Pollution and Pediatric Asthma Study, quantify measurement error in spatially resolved estimates of prenatal exposure to mobile source fine particulate matter (PM 2.5) due to ignoring this mobility, and simulate the impact of this error on estimates of epidemiologic associations. Two exposure estimates were compared, one calculated using complete residential histories during pregnancy (weighted average based on time spent at each address) and the second calculated using only residence at birth. Estimates were computed using annual averages of primary PM 2.5 from traffic emissions modeled using a Research LINE-source dispersion model for near-surface releases (RLINE) at 250 m resolution. In this cohort, 18.6% of children were born to mothers who moved at least once during pregnancy. Mobile source PM 2.5 exposure estimates calculated using complete residential histories during pregnancy and only residence at birth were highly correlated (r S >0.9). Simulations indicated that ignoring residential mobility resulted in modest bias of epidemiologic associations toward the null, but varied by maternal characteristics and prenatal exposure windows of interest (ranging from â '2% to â '10% bias).

LanguageEnglish
Pages513-520
Number of pages8
JournalJournal of Exposure Science and Environmental Epidemiology
Volume27
Issue number5
DOIs
Publication statusPublished - 1 Sep 2017

ASJC Scopus subject areas

  • Epidemiology
  • Toxicology
  • Pollution
  • Public Health, Environmental and Occupational Health

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