Evidence map›Paper›PMID 33910568›Full record

ArticleEnvironmental health : a global access science source2021

Maternal methylmercury exposure through rice ingestion and child neurodevelopment in the first three years: a prospective cohort study in rural China.

Sarah E Rothenberg, Susan A Korrick, Jihong Liu, Yanfen Nong, Hua Nong, Chuan Hong, Eva P Trinh, Xu Jiang, Fred J Biasini, Fengxiu Ouyang

Open access · goldAbstract read
In one paragraph

Article in Environmental health : a global access science source, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 3 pooled it
2.0field-weighted citation impact, top 15% 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

11 citing papers in PubMed, 3 syntheses or guidelines pooled it, 26 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

10 authors at 6 institutions in 4 countries.

Sarah E Rothenberg *College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, USA. sarah.rothenberg@oregonstate.edu.ORCID 0000-0002-0021-7491
Susan A Korrick *Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Jihong LiuDepartment of Epidemiology & Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA.
Yanfen NongMaternal and Child Health Hospital, Daxin County, China.
Hua NongMaternal and Child Health Hospital, Daxin County, China.
Chuan HongDepartment of Environmental Health Sciences, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA.
Eva P TrinhDepartment of Psychology, University of Alabama at Birmingham, Birmingham, AL, USA.
Xu JiangDepartment of Psychology, University of South Carolina, Columbia, SC, USA.
Fred J BiasiniDepartment of Psychology, University of Alabama at Birmingham, Birmingham, AL, USA.
Fengxiu OuyangMinistry of Education and Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
University of South Carolina · USBrigham and Women's Hospital · USCenters for Disease Control and Prevention · USOregon State University · USShanghai Jiao Tong University · CNUniversity of Alabama at Birmingham · US

Funding

Methylmercury Exposure Through Rice Ingestion, Gut Microbes, and Offspring DevelopmentR21ES026412 · NIEHS · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI ROTHENBERG, SARAH E · 2016 to 2017
$387k
NIEHS NIH HHS L30 ES023165NIEHS NIH HHS R21 ES026412
6 · The paper itself

Abstract

backgroundRice is an important dietary source for methylmercury; however, rice does not contain the same beneficial nutrients as fish. Our main objective was to assess associations of prenatal methylmercury exposure through rice ingestion with child neurodevelopment in rural China.

methodsEligible peripartum women were enrolled (n = 391), provided peripartum hair samples, and children's neurodevelopment was assessed at 12 months (n = 264, 68%) and 36 months (n = 190, 48%) using the Bayley Scales of Infant Development, 2nd Edition, including the Mental Developmental Index (MDI) and the Psychomotor Developmental Index (PDI). Associations between prenatal methylmercury exposure during the third trimester [log

resultsIn adjusted models, a doubling in maternal hair THg corresponded to a 1.3-point decrement in the MDI score [95% confidence interval (CI): - 2.6, - 0.14], and a 1.2-point decrement in the PDI score (95% CI: - 2.6, 0.14). Overall, adverse associations between maternal hair THg and MDI scores attenuated over time. However, associations were robust and stable over time among children whose primary caregiver was their parent(s). During the study follow-up, an increasing proportion of children were raised by grandparents (12 months: 9% versus 36 months: 27%), a trend associated with rural-to-urban parental migration for work.

conclusionsFor young children living in rural China, a biomarker of prenatal methylmercury exposure was associated with decrements in cognitive function assessed between 12 and 36 months of age. Changes in the family structure over the study follow-up time interval potentially impacted children's sensitivity to prenatal methylmercury exposure.

Indexed as

Child DevelopmentCognitionDietary ExposureMaternal ExposurePrenatal Exposure Delayed EffectsChild, PreschoolChinaFemaleFood ContaminationHairHumansInfantMaleMercuryMethylmercury CompoundsOryzaMercuryMethylmercury CompoundsLeft-behind childrenMethylmercuryNeurodevelopmentNeurotoxicantRice consumption

Identifiers

PMID33910568
PMCPMC8082930
OpenAlexW3159918181

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.