Evidence map›Paper›PMID 34038956›Full record

ArticleThe American journal of clinical nutrition2021

Diet and erythrocyte metal concentrations in early pregnancy-cross-sectional analysis in Project Viva.

Pi-I D Lin, Andres Cardenas, Sheryl L Rifas-Shiman, Marie-France Hivert, Tamarra James-Todd, Chitra Amarasiriwardena, Robert O Wright, Mohammad L Rahman, Emily Oken

Erratum issuedAbstract read
In one paragraph

Article in The American journal of clinical nutrition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

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

  1. Pooled it
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  6. Prenatal metal exposures and kidney function in adolescence in Project Viva.Environmental health : a global access science source · 2024
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  14. Correlates of whole blood metal concentrations among reproductive-aged Black women.Journal of exposure science & environmental epidemiology · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Pi-I D LinDivision of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.ORCID 0000-0003-3564-4255
Andres CardenasDivision of Environmental Health Sciences, School of Public Health, University of California, Berkeley, Berkeley, CA, USA.ORCID 0000-0003-2284-3298
Sheryl L Rifas-ShimanDivision of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.ORCID 0000-0003-0033-920X
Marie-France HivertDivision of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.ORCID 0000-0001-7752-2585
Tamarra James-ToddDepartment of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA, USA.ORCID 0000-0003-3589-5169
Chitra AmarasiriwardenaDepartment of Environmental Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.ORCID 0000-0002-7031-8140
Robert O WrightDepartment of Environmental Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.
Mohammad L RahmanDivision of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.ORCID 0000-0001-8322-0495
Emily OkenDivision of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.ORCID 0000-0003-2513-3339

Funding

Statistical Services and Methods Development ResourceU2CES026555 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI TEITELBAUM, SUSAN L · 2015 to 2025
$26.4M
Untargeted Analysis ResourceU2CES026561 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI WRIGHT, ROBERT O · 2015 to 2025
$24.5M
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
Common and distinct early environmental influences on cardiometabolic and respiratory health: Mechanisms and methodsUG3OD023286 · OD · HARVARD PILGRIM HEALTH CARE, INC. · PI KLEINMAN, KENNETH P., OKEN, EMILY · 2016 to 2017
$4.1M
PRENATAL AND POSTNATAL EXPOSURE TO ENVIRONMENTAL MIXTURES: NEURODEVELOPMENT AND DNA METHYLATION BIOMARKERSR01ES031259 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI CARDENAS, ANDRES · 2020 to 2024
$1.9M
NICHD NIH HHS R01 HD034568NIEHS NIH HHS R01 ES031259NIEHS NIH HHS U2C ES026555NIEHS NIH HHS U2C ES026561NIH HHS UG3 OD023286
6 · The paper itself

Abstract

backgroundDietary sources of metals are not well established among pregnant women in the United States.

objectiveWe aimed to perform a diet-wide association study (DWAS) of metals during the first trimester of pregnancy.

methodsIn early pregnancy (11.3 ± 2.8 weeks of gestation), 1196 women from Project Viva (recruited 1999-2002 in eastern Massachusetts) completed a validated FFQ (135 food items) and underwent measurements of erythrocyte metals [arsenic (As), barium, cadmium, cesium (Cs), copper, mercury (Hg), magnesium, manganese, lead (Pb), selenium (Se), zinc]. The DWAS involved a systematic evaluation and visualization of all bivariate relations for each food-metal combination. For dietary items with strong associations with erythrocyte metals, we applied targeted maximum likelihood estimations and substitution models to evaluate how hypothetical dietary interventions would influence metals' concentrations.

resultsParticipants' mean ± SD age was 32.5 ± 4.5 y and prepregnancy BMI was 24.8 ± 5.4 kg/m2; they were mostly white (75.9%), college graduates (72.4%), married or cohabitating (94.6%), had a household income >$70,000/y (63.5%), and had never smoked (67.1%). Compared with other US-based cohorts, the overall diet quality of participants was above average, and concentrations of erythrocyte metals were lower. The DWAS identified significant associations of several food items with As, Hg, Pb, Cs, and Se; for example, As was higher for each SD increment in fresh fruit (11.5%; 95% CI: 4.9%, 18.4%), white rice (17.9%; 95% CI: 9.4%, 26.9%), and seafood (50.9%; 95% CI: 42.8%, 59.3%). Following the guidelines for pregnant women to consume ≤3 servings/wk of seafood was associated with lower As (-0.55 ng/g; 95% CI: -0.82, -0.28 ng/g) and lower Hg (-2.67 ng/g; 95% CI: -3.55, -1.80 ng/g). Substituting white rice with bread, pasta, tortilla, and potato was also associated with lower As (35%-50%) and Hg (35%-70%).

conclusionsOur DWAS provides a systematic evaluation of diet-metals relations. Prenatal diet may be an important source of exposures to metals.

Indexed as

DietEnvironmental ExposureFood ContaminationAdultAnatomy, Cross-SectionalCross-Sectional StudiesErythrocytesFemaleHumansLongitudinal StudiesMetalsPregnancyMetalsarseniccesiumdietenvironmental exposuremercurymetalspregnancyriceseafood

Identifiers

PMID34038956
PMCPMC8326032

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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.