Evidence map›Paper›PMID 31978739›Full record

ArticleInternational journal of hygiene and environmental health2020

Evaluating associations between early pregnancy trace elements mixture and 2nd trimester gestational glucose levels: A comparison of three statistical approaches.

Yinnan Zheng, Cuilin Zhang, Marc G Weisskopf, Paige L Williams, Birgit Claus Henn, Patrick J Parsons, Christopher D Palmer, Germaine M Buck Louis, Tamarra James-Todd

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of hygiene and environmental health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

16 citing papers in PubMed, 41 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

9 authors at 6 institutions in 1 country.

Yinnan ZhengDepartments of Environmental Health, USA. Electronic address: yiz461@mail.harvard.edu.
Cuilin ZhangDivision of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, 20892, USA.
Marc G WeisskopfDepartments of Environmental Health, USA; Departments of Epidemiology, USA.
Paige L WilliamsDepartments of Epidemiology, USA; Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, 02115, USA.
Birgit Claus HennDepartment of Environmental Health, Boston University School of Public Health, Boston, MA, 02118, USA.
Patrick J ParsonsWadsworth Center, New York State Department of Health, Albany, NY, 12203, USA; Department of Environmental Health Sciences, University at Albany, Rensselaer, NY, 12144, USA.
Christopher D PalmerWadsworth Center, New York State Department of Health, Albany, NY, 12203, USA; Department of Environmental Health Sciences, University at Albany, Rensselaer, NY, 12144, USA.
Germaine M Buck LouisDean's Office, George Mason University, Fairfax, VA, 22030, USA.
Tamarra James-ToddDepartments of Environmental Health, USA; Departments of Epidemiology, USA.
Center for Environmental Health · USInternational Epidemiology Institute · USWadsworth Center · USBoston University · USEunice Kennedy Shriver National Institute of Child Health and Human Development · USGeorge Mason University · US

Funding

Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI JAIME ELIZABETH HART · 1985 to 2026
$44.6M
NICHD NIH HHS HHSN275200800002CNICHD NIH HHS HHSN275200800002INICHD NIH HHS HHSN275200800003CNICHD NIH HHS HHSN275200800003INICHD NIH HHS HHSN275200800012CNICHD NIH HHS HHSN275200800013CNICHD NIH HHS HHSN275200800014CNICHD NIH HHS HHSN275200800028CNICHD NIH HHS HHSN275201000001GNICHD NIH HHS HHSN275201000001ZNICHD NIH HHS HHSN275201000009CNIEHS NIH HHS P30 ES000002
6 · The paper itself

Abstract

objectiveStudies have shown that individual trace element levels might be associated with abnormal glycemic status, with implications for diabetes. Few studies have considered these trace elements as a mixture and their impact on gestational glucose levels. Comparing three statistical approaches, we assessed the associations between essential trace elements mixture and gestational glucose levels.

methodsWe used data from 1720 women enrolled in the Eunice Kennedy Shriver National Institute of Child Health and Human Development's Fetal Growth Study, for whom trace element concentrations (zinc, selenium, copper, molybdenum) were measured by inductively coupled plasma mass spectrometry (ICP-MS) using plasma collected during the 1st trimester. Non-fasting glucose levels were measured during the gestational diabetes mellitus (GDM) screening test in the 2nd trimester. We applied (1) Bayesian Kernel Machine Regression (BKMR); (2) adaptive Least Absolute Shrinkage and Selection Operator (LASSO) in a mutually adjusted linear regression model; and (3) generalized additive models (GAMs) to evaluate the joint associations between trace elements mixture and glucose levels adjusting for potential confounders.

resultsUsing BKMR, we observed a mean 2.7 mg/dL higher glucose level for each interquartile increase of plasma copper (95% credible interval: 0.9, 4.5). The positive association between plasma copper and glucose levels was more pronounced at higher quartiles of zinc. Similar associations were detected using adaptive LASSO and GAM. In addition, results from adaptive LASSO and GAM suggested a super-additive interaction between molybdenum and selenium (both p-values = 0.04).

conclusionEmploying different statistical methods, we found consistent evidence of higher gestational glucose levels associated with higher copper and potential synergism between zinc and copper on glucose levels.

Indexed as

AdultBayes TheoremDiabetes, GestationalFemaleGlucoseHumansMaternal ExposurePregnancyPregnancy Trimester, FirstPregnancy Trimester, SecondTrace ElementsGlucoseTrace ElementsBayesian kernel machine regressionEnvironmental mixturesGeneralized additive modelGestational glucose levelsLASSO

Identifiers

PMID31978739
PMCPMC7609138
OpenAlexW2996841993

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.