Evidence map›Paper›PMID 27381635›Full record

ArticleNeurotoxicology and teratology

Maternal prenatal fish consumption and cognition in mid childhood: Mercury, fatty acids, and selenium.

Emily Oken, Sheryl L Rifas-Shiman, Chitra Amarasiriwardena, Innocent Jayawardene, David C Bellinger, Joseph R Hibbeln, Robert O Wright, Matthew W Gillman

Abstract read
In one paragraph

Article in Neurotoxicology and teratology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 6 pooled it
6.4field-weighted citation impact, top 3% 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

38 citing papers in PubMed, 6 syntheses or guidelines pooled it, 60 citations in OpenAlex.

  1. Pooled it
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  5. Guideline
  6. Pooled it
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  11. Observational
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  14. Review
  15. Prenatal metal exposures and kidney function in adolescence in Project Viva.Environmental health : a global access science source · 2024
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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

8 authors at 4 institutions in 1 country.

Emily OkenDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA; Department of Nutrition, Harvard School of Public Health, Boston, MA, USA. Electronic address: emily_oken@harvardpilgrim.org.
Sheryl L Rifas-ShimanDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.
Chitra AmarasiriwardenaDepartment of Preventive Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Environmental Health, Harvard School of Public Health, Boston, MA, USA.
Innocent JayawardeneDepartment of Environmental Health, Harvard School of Public Health, Boston, MA, USA.
David C BellingerDepartment of Environmental Health, Harvard School of Public Health, Boston, MA, USA; Department of Neurology, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA.
Joseph R HibbelnSection on Nutritional Neurosciences, National Institute on Alcohol Abuse and Alcoholism, New York, NY, USA.
Robert O WrightDepartment of Preventive Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Pediatrics, Mount Sinai School of Medicine, New York, NY, USA.
Matthew W GillmanDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA; Department of Nutrition, Harvard School of Public Health, Boston, MA, USA.
Harvard University · USIcahn School of Medicine at Mount Sinai · USBoston Children's Hospital · USNational Institute on Alcohol Abuse and Alcoholism · US

Funding

Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI Marc G Weisskopf · 1985 to 2026
$44.6M
The Mount Sinai Transdisciplinary Center on Early Environmental ExposuresP30ES023515 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Robert O Wright · 2014 to 2026
$21.3M
Prenatal environmental determinants of health in young adulthood: a lifecourse approachR01HD034568 · NICHD · HARVARD PILGRIM HEALTH CARE, INC. · PI Marie-France Hivert, Emily Oken · 1998 to 2026
$20.6M
Stress, Lead, Iron Deficiency and NeurodevelopmentR01ES013744 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Robert O Wright · 2007 to 2026
$13.4M
Essential Fatty Acids In Psychiatric DisordersZIAAA000115 · NIAAA · NATIONAL INSTITUTE ON ALCOHOL ABUSE AND ALCOHOLISM · PI HIBBELN, JOSEPH · 2009 to 2020
$7.8M
NUTRITION IN PREGNANCY, BIRTH WEIGHT, &CHILDHOOD ASTHMAR01HL064925 · NHLBI · HARVARD PILGRIM HEALTH CARE, INC. · PI GILLMAN, MATTHEW W · 2000 to 2010
$7.5M
Mouse Neurodevelopmental Behavior CoreU54HD090255 · NICHD · BOSTON CHILDREN'S HOSPITAL · PI STEVENS, BETH ANN · 2016 to 2020
$5.2M
Pre- and Peri-natal Predictors of Childhood ObesityR37HD034568 · NICHD · HARVARD PILGRIM HEALTH CARE, INC. · PI GILLMAN, MATTHEW W · 2012 to 2015
$4.5M
Effects of prenatal diet and mercury exposure on child behavior and developmentR01ES016314 · NIEHS · HARVARD PILGRIM HEALTH CARE, INC. · PI OKEN, EMILY · 2008 to 2011
$1.4M
Patient-oriented Research in Maternal Perinatal Overnutrition and Child AdiposityK24HD069408 · NICHD · HARVARD PILGRIM HEALTH CARE, INC. · PI OKEN, EMILY · 2011 to 2015
$844k
NHLBI NIH HHS R01 HL064925NICHD NIH HHS K24 HD069408NICHD NIH HHS R01 HD034568NICHD NIH HHS R37 HD034568NICHD NIH HHS U54 HD090255NIEHS NIH HHS P30 ES000002NIEHS NIH HHS P30 ES023515NIEHS NIH HHS R01 ES013744NIEHS NIH HHS R01 ES016314
6 · The paper itself

Abstract

backgroundFew studies of maternal prenatal fish intake have included biomarkers of exposure to mercury, long-chain n-3 fatty acids, and selenium, which are hypothesized to mediate associations with child neurodevelopment.

objectivesExamine associations of maternal prenatal fish intake with child neurodevelopment accounting for biomarkers.

methodsIn 1999-2002 we enrolled pregnant women into the Project Viva cohort. At median 27.9weeks gestation, we estimated maternal fish intake using food frequency questionnaires, and collected blood. We assayed erythrocytes for total mercury and selenium, and plasma for fatty acids including n-3 docosahexaenoic acid (DHA) and eicosapentaenoic acid (EPA). In mid-childhood (median 7.7years), we administered cognitive tests including the Kauffman Brief Intelligence Test (KBIT). We performed multivariable linear regression analyses adjusting for maternal and child characteristics including home environment and maternal intelligence.

resultsAmong 1068 pairs (872 with blood), mean (SD) exposures were: maternal fish intake 1.7 (1.5)servings/week, mercury 4.0 (3.6)ng/g, DHA+EPA 98.4 (41.8)mcg/ml, selenium 205.6 (34.6)ng/ml. Child KBIT verbal scores (mean 112.2, SD 15.0) were not related to any exposures: maternal fish intake (0.15; 95% CI: -0.50, 0.79), mercury (0.08; -0.18, 0.35), DHA+EPA (0.01; -0.22, 0.24), and selenium (0.20; -0.09, 0.50). Associations with KBIT nonverbal scores and tests of memory and visual motor abilities were similarly null. Mutual adjustment for each of the exposure measures did not substantially change estimates.

conclusionsIn this population with an average fish consumption of about 1 1/2 weekly servings, we did not see any evidence for an association of maternal prenatal fish intake, or of mercury, DHA+EPA, or selenium status, with verbal or non-verbal intelligence, visual motor function, or visual memory at median 7.7years of age.

Indexed as

CognitionSeafoodAdultAnimalsChildFatty AcidsFemaleFishesHumansLongitudinal StudiesMaternal ExposureMercuryPregnancyPrenatal Exposure Delayed EffectsProspective StudiesSeleniumFatty AcidsMercurySeleniumChild developmentFishesMercuryn-3 Fatty acidsPregnancySelenium

Identifiers

PMID27381635
PMCPMC5056822
OpenAlexW2473557086

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.