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Persistent organic pollutants in dust from older homes: Learning from lead

Author

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  • Whitehead, T.P.
  • Metayer, C.
  • Ward, M.H.
  • Colt, J.S.
  • Gunier, R.B.
  • Deziel, N.C.
  • Rappaport, S.M.
  • Buffler, P.A.

Abstract

Objectives. We aimed to (1) evaluate the relation between home age and concentrations of multiple chemical contaminants in settled dust and (2) discuss the feasibility of using lead hazard controls to reduce children's exposure to persistent organic pollutants. Methods. As part of the California Childhood Leukemia Study, from 2001 to 2007, we used a high-volume small surface sampler and household vacuum cleaners to collect dust samples from 583 homes and analyzed the samples for 94 chemicals with gas chromatography-mass spectrometry and inductively coupled plasma mass spectrometry. We evaluated relations between chemical concentrations in dust and home age with Spearman rank correlation coefficients. Results. Dust concentrations of lead, polychlorinated biphenyls, organochlorine insecticides, and polycyclic aromatic hydrocarbons were correlated with home age (q > 0.2; P

Suggested Citation

  • Whitehead, T.P. & Metayer, C. & Ward, M.H. & Colt, J.S. & Gunier, R.B. & Deziel, N.C. & Rappaport, S.M. & Buffler, P.A., 2014. "Persistent organic pollutants in dust from older homes: Learning from lead," American Journal of Public Health, American Public Health Association, vol. 104(7), pages 1320-1326.
  • Handle: RePEc:aph:ajpbhl:10.2105/ajph.2013.301835_0
    DOI: 10.2105/AJPH.2013.301835
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    Cited by:

    1. David C. Wheeler & Salem Rustom & Matthew Carli & Todd P. Whitehead & Mary H. Ward & Catherine Metayer, 2021. "Bayesian Group Index Regression for Modeling Chemical Mixtures and Cancer Risk," IJERPH, MDPI, vol. 18(7), pages 1-19, March.
    2. David C. Wheeler & Salem Rustom & Matthew Carli & Todd P. Whitehead & Mary H. Ward & Catherine Metayer, 2021. "Assessment of Grouped Weighted Quantile Sum Regression for Modeling Chemical Mixtures and Cancer Risk," IJERPH, MDPI, vol. 18(2), pages 1-20, January.

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