Evidence map›Paper›PMID 25198543›Full record

Trial reportPloS one2014

A dietary-wide association study (DWAS) of environmental metal exposure in US children and adults.

Matthew A Davis, Diane Gilbert-Diamond, Margaret R Karagas, Zhigang Li, Jason H Moore, Scott M Williams, H Robert Frost

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
3.9field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 64 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Total blood mercury and its determinants in New Zealand children and adults.Journal of exposure science & environmental epidemiology · 2021
    Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Matthew A DavisChildren's Environmental Health and Disease Prevention Research Center at Dartmouth, Hanover, New Hampshire, United States of America; Institute for Quantitative Biomedical Sciences, Dartmouth College, Hanover, New Hampshire, United States of America; University of Michigan School of Nursing, Ann Arbor, Michigan, United States of America; Section of Biostatistics and Epidemiology, Department of Community and Family Medicine, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, United States of America.
Diane Gilbert-DiamondChildren's Environmental Health and Disease Prevention Research Center at Dartmouth, Hanover, New Hampshire, United States of America; Institute for Quantitative Biomedical Sciences, Dartmouth College, Hanover, New Hampshire, United States of America; Section of Biostatistics and Epidemiology, Department of Community and Family Medicine, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, United States of America.
Margaret R KaragasChildren's Environmental Health and Disease Prevention Research Center at Dartmouth, Hanover, New Hampshire, United States of America; Institute for Quantitative Biomedical Sciences, Dartmouth College, Hanover, New Hampshire, United States of America; Section of Biostatistics and Epidemiology, Department of Community and Family Medicine, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, United States of America.
Zhigang LiChildren's Environmental Health and Disease Prevention Research Center at Dartmouth, Hanover, New Hampshire, United States of America; Institute for Quantitative Biomedical Sciences, Dartmouth College, Hanover, New Hampshire, United States of America; Section of Biostatistics and Epidemiology, Department of Community and Family Medicine, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, United States of America.
Jason H MooreChildren's Environmental Health and Disease Prevention Research Center at Dartmouth, Hanover, New Hampshire, United States of America; Institute for Quantitative Biomedical Sciences, Dartmouth College, Hanover, New Hampshire, United States of America; Section of Biostatistics and Epidemiology, Department of Community and Family Medicine, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, United States of America; Department of Genetics, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, United States of America.
Scott M WilliamsInstitute for Quantitative Biomedical Sciences, Dartmouth College, Hanover, New Hampshire, United States of America; Department of Genetics, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, United States of America.
H Robert FrostInstitute for Quantitative Biomedical Sciences, Dartmouth College, Hanover, New Hampshire, United States of America; Section of Biostatistics and Epidemiology, Department of Community and Family Medicine, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, United States of America; Department of Genetics, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, United States of America.
Dartmouth College · USUniversity of Michigan–Ann Arbor · US

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Fred W Kolling IV · 1985 to 2026
$91.3M
VARIATION IN BIOACCUMULATION AND BIOMAGNIFICATION OF METALS IN NORTHERN US LAKESP42ES007373 · NIEHS · DARTMOUTH COLLEGE · PI STANTON, BRUCE A. · 1995 to 2019
$52.0M
Relation Between In-utero Vitamin D and Immune Function in Early Childhood P20GM104416 · NIGMS · DARTMOUTH COLLEGE · PI ROMANO, MEGAN E · 2013 to 2022
$23.7M
Quantitative Biology Research InstituteP20GM103534 · NIGMS · DARTMOUTH COLLEGE · PI AMOS, CHRISTOPHER I. · 2012 to 2016
$8.6M
Bioinformatics Strategies for Genome-Wide Association StudiesR01LM010098 · NLM · UNIVERSITY OF PENNSYLVANIA · PI MOORE, JASON H., WILLIAMS, SCOTT MATTHEW · 2009 to 2023
$5.1M
Project 3: Placental Biomarkers of Exposure and Outcome (Marsit)P01ES022832 · NIEHS · DARTMOUTH COLLEGE · PI KARAGAS, MARGARET RITA · 2013 to 2018
$4.7M
Machine Learning Prediction of Cancer SusceptibilityR01LM009012 · NLM · UNIVERSITY OF PENNSYLVANIA · PI MOORE, JASON H. · 2006 to 2014
$3.3M
The United States Complementary and Alternative Medicine MarketK01AT006162 · NCCIH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DAVIS, MATTHEW A · 2010 to 2014
$706k
NCCIH NIH HHS K01 AT006162NCCIH NIH HHS K01AT006162NCI NIH HHS P30 CA023108NIEHS NIH HHS P01 ES022832NIEHS NIH HHS P42 ES007373NIGMS NIH HHS GM103534NIGMS NIH HHS P20 GM103534NIGMS NIH HHS P20 GM104416NLM NIH HHS LM009012NLM NIH HHS LM010098NLM NIH HHS R01 LM009012NLM NIH HHS R01 LM010098ORD VA RD-83544201
6 · The paper itself

Abstract

backgroundA growing body of evidence suggests that exposure to toxic metals occurs through diet but few studies have comprehensively examined dietary sources of exposure in US populations. PURPOSE: Our goal was to perform a novel dietary-wide association study (DWAS) to identify specific dietary sources of lead, cadmium, mercury, and arsenic exposure in US children and adults.

methodsWe combined data from the National Health and Nutrition Examination Survey with data from the US Department of Agriculture's Food Intakes Converted to Retail Commodities Database to examine associations between 49 different foods and environmental metal exposure. Using blood and urinary biomarkers for lead, cadmium, mercury, and arsenic, we compared sources of dietary exposure among children to that of adults.

resultsDiet accounted for more of the variation in mercury and arsenic than lead and cadmium. For instance we estimate 4.5% of the variation of mercury among children and 10.5% among adults is explained by diet. We identified a previously unrecognized association between rice consumption and mercury in a US study population--adjusted for other dietary sources such as seafood, an increase of 10 g/day of rice consumption was associated with a 4.8% (95% CI: 3.6, 5.2) increase in blood mercury concentration. Associations between diet and metal exposure were similar among children and adults, and we recapitulated other known dietary sources of exposure.

conclusionUtilizing this combination of data sources, this approach has the potential to identify and monitor dietary sources of metal exposure in the US population.

Indexed as

Heavy Metal PoisoningAdolescentAdultBiomarkersChildChild, PreschoolDietFemaleHumansInfantMaleMetals, HeavyPoisoningUnited StatesBiomarkersMetals, Heavy

Identifiers

PMID25198543
PMCPMC4157769
OpenAlexW2078799014

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.