Evidence map›Paper›PMID 32015433›Full record

ArticleJournal of exposure science & environmental epidemiology2020

Seafood, wine, rice, vegetables, and other food items associated with mercury biomarkers among seafood and non-seafood consumers: NHANES 2011-2012.

Ellen M Wells, Leonid Kopylev, Rebecca Nachman, Elizabeth G Radke, Deborah Segal

Open access · greenAbstract read
In one paragraph

Article in Journal of exposure science & environmental epidemiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 16% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
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  4. Review
  5. Which prenatal biomarker is most appropriate for methylmercury dose-response for neurodevelopmental effects?Journal of toxicology and environmental health. Part B, Critical reviews · 2025
    Review
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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

5 authors at 2 institutions in 1 country.

Ellen M WellsSchool of Health Sciences, Purdue University, West Lafayette, IN, USA. wells54@purdue.edu.
Leonid KopylevNational Center for Environmental Assessment, Office of Research and Development, US Environmental Protection Agency, Washington, DC, USA.
Rebecca NachmanNational Center for Environmental Assessment, Office of Research and Development, US Environmental Protection Agency, Washington, DC, USA.
Elizabeth G RadkeNational Center for Environmental Assessment, Office of Research and Development, US Environmental Protection Agency, Washington, DC, USA.
Deborah SegalNational Center for Environmental Assessment, Office of Research and Development, US Environmental Protection Agency, Washington, DC, USA.
National Center for Environmental Assessment (EPA) · USPurdue University West Lafayette · US

Funding

Occupational Safety and Health Training GrantT03OH008615 · OH · PURDUE UNIVERSITY · PI WELLS, ELLEN M · 2011 to 2025
$1.7M
ACL HHS T03OH008615Intramural EPA EPA999999NIOSH CDC HHS T03 OH008615
6 · The paper itself

Abstract

Fish/seafood consumption is a source of mercury; other dietary sources are not well described. This cross-sectional study used National Health and Nutrition Examination Survey (NHANES) 2011-2012 data. Participants self-reported consuming fish/seafood (N = 5427) or not (N = 1770) within the past 30 days. Whole blood total mercury (THg), methylmercury (MeHg), and urinary mercury (UHg) were determined. Diet was assessed using 24 h recall. Adjusted regression models predicted mercury biomarker concentrations with recent food consumption, while controlling for age, sex, education, and race/ethnicity. Geometric mean THg was 0.89 µg/L (95% confidence interval (CI): 0.78, 1.02) (seafood consumers) and 0.31 µg/L (95% CI: 0.28, 0.34) (non-seafood consumers); MeHg and UHg concentrations follow similar patterns. In adjusted regressions among seafood consumers, significant associations were observed between mercury biomarkers with multiple foods, including fish/seafood, wine, rice, vegetables/vegetable oil, liquor, and beans/nuts/soy. Among non-seafood consumers, higher THg was significantly associated with mixed rice dishes, vegetables/vegetable oil, liquor, and approached statistical significance with wine (p < 0.10); higher MeHg was significantly associated with wine and higher UHg was significantly associated with mixed rice dishes. Fish/seafood consumption is the strongest dietary predictor of mercury biomarker concentrations; however, consumption of wine, rice, vegetables/vegetable oil, or liquor may also contribute, especially among non-seafood consumers.

Indexed as

Nutrition SurveysAdultAnimalsBiomarkersCross-Sectional StudiesDietFemaleFood ContaminationHumansMaleMercuryMethylmercury CompoundsOryzaSeafoodVegetablesWineBiomarkersMercuryMethylmercury CompoundsBiomarkerDietMercuryMethylmercuryNational Health and Nutrition Examination SurveySeafood

Identifiers

PMID32015433
PMCPMC7183423
OpenAlexW3003636814

What OpenQuestion holds

Textmetadata
LicenceTDM
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.