Evidence map›Paper›PMID 35490160›Full record

ArticleJournal of exposure science & environmental epidemiology2023

Trimester-specific prenatal heavy metal exposures and sex-specific postpartum size and growth.

Lena Yao, Lili Liu, Ming Dong, Jinmei Yang, Zhiqiang Zhao, Jiabin Chen, Lijuan Lv, Zhaoxia Wu, Jin Wang, Xin Sun and 2 more

Abstract read
In one paragraph

Article in Journal of exposure science & environmental epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

12 authors.

Lena Yao *Program in Epidemiology, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Lili Liu *Department of Toxicology, Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou, Guangdong, China.
Ming DongGuangdong Provincial Key Laboratory of Occupational Disease Prevention and Treatment, Guangdong Province Hospital for Occupational Disease Prevention, Guangzhou, China.
Jinmei YangDepartment of Toxicology, Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou, Guangdong, China.
Zhiqiang ZhaoDepartment of Toxicology, Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou, Guangdong, China.
Jiabin ChenGuangdong Provincial Key Laboratory of Occupational Disease Prevention and Treatment, Guangdong Province Hospital for Occupational Disease Prevention, Guangzhou, China.
Lijuan LvGuangdong Maternal and Child Hospital, Guangzhou, China.
Zhaoxia WuNanhai Maternity and Child Healthcare Hospital of Foshan, Foshan, China.
Jin WangNational Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China.
Xin SunNational Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China.
Steven SelfDepartment of Biostatistics, School of Public Health, University of Washington, Seattle, WA, USA.
Parveen BhattiProgram in Epidemiology, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA. pbhatti@bccrc.ca.ORCID 0000-0003-1709-1781

Funding

The impact of prenatal exposure to persistent organic pollutants on kinetics of immune response to vaccines and sero-protection in infantsR01ES025796 · NIEHS · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BHATTI, PARVEEN · 2016 to 2020
$2.9M
NIEHS NIH HHS R01 ES025796
6 · The paper itself

Abstract

backgroundThere has been limited research considering the effects of prenatal exposure to multiple heavy metals on early childhood size and growth.

objectiveWe evaluated prenatal exposures to 15 heavy metals in association with measures of weight, length, and head circumference (HC) measured at birth, and 1, 3 and 6 months of age in a study of 358 mother-child pairs.

methodsUrinary concentrations were measured in the first and third trimesters of pregnancy and examined, using sex-stratified general linear models, in association with average standardized size and changes in size (growth) over the first 6 months of life. Confounding effects among metals were explored.

resultsIncreased first trimester Hg and V were associated with decreased average HC among males and weight among females, respectively. Increased first trimester V was associated with a decline in weight among females over time. Increased third trimester Cs, Rb and Tl were associated with increased average weight and HC among males. Increased third trimester Se was associated with increased HC among females over time. Evidence for confounding was observed between Cs, Rb and Tl in association with weight and HC. SIGNIFICANCE: We observed multiple biologically plausible associations between prenatal heavy metal exposures and postnatal size and growth. IMPACT: We have taken a comprehensive and novel approach to evaluating the impacts of prenatal heavy metal exposures on size and growth during early childhood. Our detailed analyses consider exposures to 15 different heavy metals at two time points during pregnancy, as well as multiple metrics of size and growth collected at birth and 1, 3 and 6 months of age.

Indexed as

Metals, HeavyPrenatal Exposure Delayed EffectsChild, PreschoolFemaleHumansInfant, NewbornMaleMaternal ExposurePostpartum PeriodPregnancyPregnancy Trimester, FirstPregnancy TrimestersPregnancy Trimester, ThirdMetals, HeavyChild exposure/healthChildren’s healthEarly life exposureMetalsVulnerable populations

Identifiers

PMID35490160
PMCPMC9617807

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Registered trials

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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.