Published December 2019 | Version v1
Journal article

Systematic review and meta-analyses of lead (Pb) concentrations in environmental media (soil, dust, water, food, and air) reported in the United States from 1996 to 2016

  • 1. National Exposure Research Laboratory, U.S. Environmental Protection Agency, Research Triangle Park, NC 27709, United States of America (United States)
  • 2. Oak Ridge Institute for Science and Education, U.S. Environmental Protection Agency, Research Triangle Park, NC 27709, of America (United States)
  • 3. ASRC Federal ASMS Contractor, U.S. Environmental Protection Agency, Office of Research and Development, National Exposure Research Laboratory, Boston, MA 02109, United States of America (United States)

Description

Highlights: • Environmental Pb concentration data are needed for multimedia exposure studies. • Systematic review resulted in a comprehensive database of multimedia Pb data. • Data synthesis generated mean estimates of Pb in soil, dust, water, food, and air. • Descriptive datasets can be used as inputs for multimedia exposure modeling. • Trends in environmental Pb monitoring were identified to inform future policy. -- Abstract: Environmental lead (Pb) contamination is a persistent public health issue that prominently impacts communities across the United States. Multimedia Pb exposure assessments are utilized to provide a holistic evaluation of Pb exposure and inform the development of programs and regulations that are protective of human health. To conduct multimedia exposure assessments, robust, media-specific environmental Pb concentration data are necessary. To support this effort, systematic review and meta-analysis methods were used to conduct a comprehensive synthesis of research measuring Pb in multiple environmental media (soil, dust, water, food, and air) over a 20-year period within the United States. The breadth of the resulting database allowed for the evaluation of sample characteristics that can serve as indicators of environmental Pb contamination. Random effects models run on literature and national survey datasets generated overall mean estimates of Pb concentrations that can be used for multimedia Pb exposure modeling for general and high-exposure-risk populations. Results from our study highlighted several important trends: 1) The mean estimate of Pb in residential soils is three times higher for urbanized areas than non-urbanized areas; 2) The mean estimate of Pb in produce reported in the literature is approximately three orders of magnitude greater than commercially-sourced raw produce monitored in national surveys; 3) The mean estimate of Pb in soils from shooting ranges is two times greater than non-residential Pb contaminated Superfund sites reported in the literature; 4) Research reporting environmental Pb concentrations for school and daycare sites is very limited; 5) Inconsistent sample collection and reporting of results limited synthesis efforts; and 6) The U.S. EPA's Air Quality System was the most robust, publicly available national survey resource. Results from these analyses will inform future multimedia Pb exposure assessments and be useful in prioritizing future research and program development.

Additional details

Additional titles

Augmented title (English)
Multimedia exposure assessment;Heavy metals;Systematic review;Meta-analysis;Random effects model;Lead (Pb)

Identifiers

DOI
10.1016/j.scitotenv.2019.07.295;
PII
S0048969719334096;

Publishing Information

Journal Title
Science of the Total Environment
Journal Volume
694
Journal Page Range
vp.
ISSN
0048-9697
CODEN
STENDL

INIS

Country of Publication
Netherlands
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
55103699
Subject category
S54: ENVIRONMENTAL SCIENCES; S01: COAL, LIGNITE, AND PEAT;
Descriptors DEI
AIR; COMMUNITIES; CONTAMINATION; DATASETS; EVALUATION; FOOD; HEAVY METALS; LEAD; PUBLIC HEALTH; SOILS; URBAN AREAS; US EPA
Descriptors DEC
DOCUMENT TYPES; ELEMENTS; FLUIDS; GASES; METALS; NATIONAL ORGANIZATIONS; POLLUTION CONTROL AGENCIES; US ORGANIZATIONS

Optional Information

Copyright
Copyright (c) 2019 The Authors. Published by Elsevier B.V.