Pathways of inhalation exposure to manganese in children living near a ferromanganese refinery: A structural equation modeling approach

Florence Fulk, Paul Succop, Timothy J. Hilbert, Caroline Beidler, David Brown, Tiina Reponen, Erin N. Haynes

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

Manganese (Mn) is both essential element and neurotoxicant. Exposure to Mn can occur from various sources and routes. Structural equation modeling was used to examine routes of exposure to Mn among children residing near a ferromanganese refinery in Marietta, Ohio. An inhalation pathway model to ambient air Mn was hypothesized. Data for model evaluation were obtained from participants in the Communities Actively Researching Exposure Study (CARES). These data were collected in 2009 and included levels of Mn in residential soil and dust, levels of Mn in children's hair, information on the amount of time the child spent outside, heat and air conditioning in the home and level of parent education. Hair Mn concentration was the primary endogenous variable used to assess the theoretical inhalation exposure pathways. The model indicated that household dust Mn was a significant contributor to child hair Mn (0.37). Annual ambient air Mn concentration (0.26), time children spent outside (0.24) and soil Mn (0.24) significantly contributed to the amount of Mn in household dust. These results provide a potential framework for understanding the inhalation exposure pathway for children exposed to ambient air Mn who live in proximity to an industrial emission source.

Original languageEnglish
Pages (from-to)768-775
Number of pages8
JournalScience of the Total Environment
Volume579
DOIs
StatePublished - Feb 1 2017

Bibliographical note

Publisher Copyright:
© 2016 Elsevier B.V.

Funding

This work was supported by funding from National Institute of Environmental Health Sciences (1R01 ES016531-01; P30-ES006096) and an Institutional Clinical and Translational Science Award, NIH/NCRR 5UL1RR026314. This work was completed in partial fulfillment of the Doctor of Philosophy degree in Epidemiology in the Department of Environmental Health, Division of Epidemiology and Biostatistics, University of Cincinnati College of Medicine. The views expressed in this paper are those of the authors and do not necessarily reflect the views or policies of the U.S. Environmental Protection Agency or NIEHS.

FundersFunder number
Department of Health and Environmental Control
Division of Epidemiology and Biostatistics, University of Cincinnati College of Medicine
U.S. Environmental Protection Agency or NIEHS
National Institutes of Health (NIH)
National Institute of Environmental Health Sciences (NIEHS)R01ES016531, P30-ES006096
National Center for Research Resources5UL1RR026314

    Keywords

    • Blood
    • Dispersion modeling
    • Dust
    • Hair
    • Structural equation model (SEM)

    ASJC Scopus subject areas

    • Environmental Engineering
    • Environmental Chemistry
    • Waste Management and Disposal
    • Pollution

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