Evidence map›Paper›PMID 40859323›Full record

ArticleObesity (Silver Spring, Md.)2025

Associations of Metal Mixtures During Early Pregnancy With Midlife Obesity and Body Composition: A Prospective Study.

Mingyu Zhang, Izzuddin M Aris, Andres Cardenas, Sheryl L Rifas-Shiman, Pi-I Debby Lin, Long H Ngo, Emily Oken, Stephen P Juraschek, Marie-France Hivert

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Obesity (Silver Spring, Md.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Mingyu ZhangDepartment of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0003-3628-0983
Izzuddin M ArisDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0002-9239-7476
Andres CardenasDepartment of Epidemiology and Population Health, Stanford School of Medicine, Stanford, California, USA.ORCID https://orcid.org/0000-0003-2284-3298
Sheryl L Rifas-ShimanDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0003-0033-920X
Pi-I Debby LinDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0003-3564-4255
Long H NgoDepartment of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0002-8903-9352
Emily OkenDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0003-2513-3339
Stephen P JuraschekDepartment of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0003-4168-2696
Marie-France HivertDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0001-7752-2585

Funding

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 methodsUH3OD023286 · OD · HARVARD PILGRIM HEALTH CARE, INC. · PI OKEN, EMILY · 2018 to 2022
$11.7M
Maintain and Enrich Resource Infrastructure for Project Viva: a pre-birth cohort with follow up into adolescenceR24ES030894 · NIEHS · HARVARD PILGRIM HEALTH CARE, INC. · PI OKEN, EMILY · 2020 to 2024
$2.0M
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
American Diabetes Association 7-24-ICTSWH-10American Heart Association 24CDA1257852American Heart Association-American Stroke Association 24CDA1257852NICHD NIH HHS R01 HD034568NIEHS NIH HHS R01 ES031259NIEHS NIH HHS R24 ES030894NIEHS NIH HHS U2C ES026561NIH HHS R01ES031259NIH HHS R01HD034568NIH HHS R24ES030894NIH HHS U2CES026561NIH HHS UH3 OD023286NIH HHS UH3OD023286
6 · The paper itself

Abstract

objectiveTo examine the prospective associations of metal mixtures during pregnancy with midlife adiposity and explore metal-folate interactions.

methodsIn 500 participants from Project Viva, we measured six non-essential metals (arsenic, barium, cadmium, cesium, mercury, and lead) and five essential metals (copper, magnesium, manganese, selenium, and zinc) in red blood cells and folate in plasma collected during early pregnancy (mean gestational age: 10.0 weeks; mean age: 32.9 years). We assessed midlife (mean age: 51.2 years) adiposity using BMI and dual-energy X-ray absorptiometry (DXA) measures. We used multivariable-adjusted linear and multinomial logistic regression models to analyze individual exposures and Bayesian kernel machine regression to examine exposure mixtures.

resultsHigher arsenic, cesium, and mercury levels were associated with lower midlife DXA percentage fat, total fat mass index, and/or trunk fat mass index, even after adjustments for diet in pregnancy. We observed an antagonistic interaction between folate and arsenic: arsenic was associated with higher obesity risk at lower folate levels but lower obesity risk at higher folate levels. The essential metal mixture tended to be associated with lower midlife BMI and obesity risk.

conclusionsHigher pregnancy levels of arsenic, cesium, mercury, and the mixture of essential metals were associated with lower midlife adiposity.

Indexed as

Body CompositionMetalsObesityAbsorptiometry, PhotonAdiposityAdultArsenicBayes TheoremBody Mass IndexCadmiumCopperFemaleFolic AcidHumansLeadLogistic ModelsArsenicCadmiumCopperFolic AcidLeadMercuryMetalsSeleniumbody compositionheavy metalsobesitytrace elementswomen's health

Identifiers

PMID40859323
PMCPMC12700259

What OpenQuestion holds

Textmetadata
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.