Effect measure modification of blood lead-air lead slope factors

Jennifer Richmond-Bryant, Qingyu Meng, Jonathan Cohen, J. Allen Davis, David Svendsgaard, James S. Brown, Lauren Tuttle, Heidi Hubbard, Joann Rice, Ellen Kirrane, Lisa Vinikoor-Imler, Dennis Kotchmar, Erin Hines, Mary Ross

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

There is abundant literature finding that susceptibility factors, including race and ethnicity, age, and housing, directly influence blood lead levels. No study has explored how susceptibility factors influence the blood lead-air lead relationship nationally. The objective is to evaluate whether susceptibility factors act as effect measure modifiers on the blood lead-air lead relationship. Participant level blood lead data from the 1999 to 2008 National Health and Nutrition Examination Survey were merged with air lead data from the US Environmental Protection Agency. Linear mixed effects models were run with and without an air lead interaction term for age group, sex, housing age, or race/ethnicity to determine whether these factors are effect measure modifiers for all ages combined and for five age brackets. Age group and race/ethnicity were determined to be effect measure modifiers in the all-age model and for some age groups. Being a child (1-5, 6-11, and 12-19 years) or of Mexican-American ethnicity increased the effect estimate. Living in older housing (built before 1950) decreased the effect estimate for all models except for the 1-5-year group, where older housing was an effect measure modifier. These results are consistent with the peer-reviewed literature of time-activity patterns, ventilation, and toxicokinetics.

Original languageEnglish (US)
Pages (from-to)411-416
Number of pages6
JournalJournal of Exposure Science and Environmental Epidemiology
Volume25
Issue number4
DOIs
StatePublished - Jul 19 2015

All Science Journal Classification (ASJC) codes

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

Keywords

  • child exposure/health
  • criteria pollutants
  • empirical/statistical models
  • exposure modeling
  • metals

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