Evidence map›Paper›PMID 32028962›Full record

ArticleEnvironmental health : a global access science source2020

Prenatal exposure to legacy contaminants and visual acuity in Canadian infants: a maternal-infant research on environmental chemicals study (MIREC-ID).

C Polevoy, T E Arbuckle, Y Oulhote, B P Lanphear, K A Cockell, G Muckle, D Saint-Amour

Open access · goldAbstract read
In one paragraph

Article in Environmental health : a global access science source, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

6 citing papers in PubMed, 22 citations in OpenAlex.

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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

7 authors at 4 institutions in 1 country.

C PolevoyCentre de recherche, CHU Sainte-Justine, QC, Montréal, Canada.
T E ArbucklePopulation Studies Division, Environmental Health Science and Research Bureau, Health Canada, Ottawa, ON, Canada.
Y OulhoteDepartment of Biostatistics and Epidemiology, School of Public health and health Sciences, University of Massachusetts at Amherst, Amherst, MA, USA.
B P LanphearBC Children's Hospital, Simon Fraser University, Burnaby, Canada.
K A CockellNutrition Research Division, Food Directorate, Health Products and Food Branch, Health Canada, Ottawa, ON, Canada.
G MuckleÉcole de psychologie, Université Laval and Centre de recherche du CHU de Québec-Université Laval, Québec, QC, Canada.
D Saint-AmourCentre de recherche, CHU Sainte-Justine, QC, Montréal, Canada. saint-amour.dave@uqam.ca.ORCID 0000-0001-8680-1615
Health Canada · CAUniversité du Québec à Montréal · CASimon Fraser University · CAUniversité Laval · CA

Funding

Health Canada's Chemicals Management Plan. MOP-81285
6 · The paper itself

Abstract

backgroundPrenatal exposure to environmental contaminants can have deleterious effects on child development. While psychomotor, cognitive and behavioural outcomes have been investigated in relation to chronic exposure, the associations with visual functions remains unclear. The present study's aim was to assess the associations of prenatal exposure to legacy persistent organic pollutants and heavy metals with visual acuity in Canadian infants. The potential protective effects of selenium against mercury toxicity were also examined.

methodsParticipants (mean corrected age = 6.6 months) were part of the Maternal-Infant Research on Environmental Chemicals (MIREC) study. Concentrations of polychlorinated biphenyls (PCBs), polybrominated diphenyl ethers (PBDEs), lead and mercury were measured in maternal blood during pregnancy, as well as in the cord blood. The Teller acuity card test (TAC) (n = 429) and the visual evoked potentials in a sub-group (n = 63) were used to estimate behavioural and electrophysiological visual acuity, respectively. Multivariable linear regression models were used to investigate the relationship between exposure to each contaminant and visual acuity measures, while controlling for potential confounders. Breastmilk selenium, which was available for about half of the TAC and VEP samples, was also taken into account in the mercury models as exploratory analyses.

resultsWe observed no significant associations between exposure to any contaminants and TAC. Analyses revealed a negative trend (p values < 0.1) between cord blood lead and mercury and electrophysiological visual acuity, whereas PCB and PBDE showed no association. When adding breastmilk selenium concentration to the mercury models, this association became statistically significant for cord concentrations (β = - 3.41, 95% CI = - 5.96,-0.86), but also for blood levels at 1st and 3rd trimesters of pregnancy (β = - 3.29, 95% CI = - 5.69,-0.88). However, further regression models suggested that this change in estimates might not be due to adjustment for selenium, but instead to a change in the study sample.

conclusionsOur results suggest that subtle, but detectable alterations of infant electrophysiological visual acuity can be identified in a population prenatally exposed to low mercury concentrations. Compared to behavioural visual acuity testing, electrophysiological assessment may more sensitive in detecting visual neurotoxicity in relation with prenatal exposure to mercury.

Indexed as

Maternal ExposureCanadaEnvironmental PollutantsFemaleFetal BloodHalogenated Diphenyl EthersHumansInfantLeadMaleMercuryMilk, HumanNeuroprotective AgentsPolychlorinated BiphenylsPregnancySeleniumEnvironmental PollutantsHalogenated Diphenyl EthersLeadMercuryNeuroprotective AgentsPolychlorinated BiphenylsSeleniumBackground levelsHeavy metalsInfantsMIREC studyPersistent organic pollutantsVisual acuity

Identifiers

PMID32028962
PMCPMC7006412
OpenAlexW3012897309

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.