Evidence map›Paper›PMID 40881580›Full record

ArticleExposure and health2025

Geographic and Sociodemographic Differences in Cadmium Exposure in the Multi-Ethnic Study of Atherosclerosis (MESA).

Marisa H Sobel, Katlyn McGraw, Kathrin Schilling, Ronald A Glabonjat, Jada Y Tulloch, Olgica Balac, Chiugo N Izuchukwu, Marta Galvez-Fernandez, Wendy S Post, Steven Shea and 4 more

Abstract read
In one paragraph

Article in Exposure and health, 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

14 authors.

Marisa H SobelDepartment of Environmental Health Sciences, Columbia Mailman School of Public Health, 722 West 168Th St., 1107B, New York, NY 10032, USA.ORCID 0000-0003-0919-5222
Katlyn McGrawDepartment of Environmental Health Sciences, Columbia Mailman School of Public Health, 722 West 168Th St., 1107B, New York, NY 10032, USA.
Kathrin SchillingDepartment of Environmental Health Sciences, Columbia Mailman School of Public Health, 722 West 168Th St., 1107B, New York, NY 10032, USA.
Ronald A GlabonjatDepartment of Environmental Health Sciences, Columbia Mailman School of Public Health, 722 West 168Th St., 1107B, New York, NY 10032, USA.
Jada Y TullochDepartment of Environmental Health Sciences, Columbia Mailman School of Public Health, 722 West 168Th St., 1107B, New York, NY 10032, USA.
Olgica BalacDepartment of Environmental Health Sciences, Columbia Mailman School of Public Health, 722 West 168Th St., 1107B, New York, NY 10032, USA.
Chiugo N IzuchukwuDepartment of Environmental Health Sciences, Columbia Mailman School of Public Health, 722 West 168Th St., 1107B, New York, NY 10032, USA.
Marta Galvez-FernandezDepartment of Environmental Health Sciences, Columbia Mailman School of Public Health, 722 West 168Th St., 1107B, New York, NY 10032, USA.
Wendy S PostDivision of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, 600 North Wolfe Street, Baltimore, MD 21287, USA.
Steven SheaDivision of General Medicine, Department of Medicine, Columbia University Medical Center, 622 West 168Th St, New York, NY 10032, USA.
R Graham BarrDivision of General Medicine, Department of Medicine, Columbia University Medical Center, 622 West 168Th St, New York, NY 10032, USA.
Miranda R JonesDepartment of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, 615 N. Wolfe Street, Baltimore, MD 21205, USA.
Ana Navas-AcienDepartment of Environmental Health Sciences, Columbia Mailman School of Public Health, 722 West 168Th St., 1107B, New York, NY 10032, USA.
Tiffany R SanchezDepartment of Epidemiology, University of Colorado Anschutz Medical Center, 13001 E 17th Place, Aurora, CO 80045, USA.

Funding

Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
True Metal fac coreP30ES009089 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MATTHEW S PERZANOWSKI · 1998 to 2026
$44.7M
Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
Clinical and Translational Science AwardUL1TR000040 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2012 to 2015
$26.2M
Pulmonary microvascular perfusion in the Multi-Ethnic Study of AtherosclerosisR01HL077612 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI R Graham BARR · 2004 to 2026
$18.8M
Task Area A Core Study Operations.Task Area A shall encompass annual follow-up of cohort members, clinical endpoints ascertainment, study coordination activities, maintenance of the database and biosp75N92020D00001 · NHLBI · UNIVERSITY OF WASHINGTON · PI MCCLELLAND, ROBYN LEAGH · 2020 to 2025
$17.2M
Supplemental Training in Making Data FAIR and AI/ML ReadyT32ES007322 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Pam R Factor-Litvak, Allison Kupsco · 2000 to 2026
$12.1M
Research Experience and Training Coordination CoreP42ES033719 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MARCIA O'LEARY · 2022 to 2026
$11.9M
Task Area A shall encompass annual follow-up of cohort members, clinical events investigations, study operations, and data analysis and manuscript writing. If implemented, Task A.1 will provide fundin75N92020D00005 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI WATSON, KAROL E · 2020 to 2025
$5.1M
TO EXERCISE OPTION PERIOD ONE (1) FOR TASK AREA A - MESA CORE OPERATIONS, FIELD CENTER.75N92020D00004 · NHLBI · NORTHWESTERN UNIVERSITY · PI SIEGEL, JONATHAN H · 2020 to 2025
$4.5M
Task Area A shall encompass annual follow-up of cohort members, clinical events investigations, study operations, and data analysis and manuscript writing. If implemented, Task A.1 will provide fundin75N92020D00006 · NHLBI · UNIVERSITY OF MINNESOTA · PI PANKOW, JAMES S · 2020 to 2025
$4.4M
Task Area A shall encompass annual follow-up of cohort members, clinical events investigations, study operations, and data analysis and manuscript writing. If implemented, Task A.1 will provide fundin75N92020D00003 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI POST, WENDY S · 2020 to 2025
$3.8M
NCATS NIH HHS UL1 TR000040NCATS NIH HHS UL1 TR001079NCATS NIH HHS UL1 TR001420NHLBI NIH HHS 75N92020D00001NHLBI NIH HHS 75N92020D00002NHLBI NIH HHS 75N92020D00003NHLBI NIH HHS 75N92020D00004NHLBI NIH HHS 75N92020D00005NHLBI NIH HHS 75N92020D00006NHLBI NIH HHS 75N92020D00007NHLBI NIH HHS HHSN268201500003CNHLBI NIH HHS HHSN268201500003INHLBI NIH HHS N01 HC095159NHLBI NIH HHS N01 HC095160NHLBI NIH HHS N01 HC095161NHLBI NIH HHS N01 HC095162NHLBI NIH HHS N01 HC095163NHLBI NIH HHS N01 HC095164NHLBI NIH HHS N01 HC095165NHLBI NIH HHS N01 HC095166NHLBI NIH HHS N01 HC095167NHLBI NIH HHS N01 HC095168NHLBI NIH HHS N01 HC095169NHLBI NIH HHS R01 HL077612NIEHS NIH HHS P30 ES009089NIEHS NIH HHS P42 ES033719NIEHS NIH HHS R01 ES028758NIEHS NIH HHS T32 ES007322
6 · The paper itself

Abstract

Smoking is the primary source of cadmium (Cd) exposure, however, there are unexplained differences in urinary Cd (uCd) levels that persist by sociodemographic characteristics. We characterized uCd levels across geographic regions and sociodemographic categories to better identify sources and contributors. We include 6729 adults from the Multi-Ethnic Study of Atherosclerosis (MESA) with uCd measured at the baseline exam (2000-2002) and covariate information. Percentage difference (95% confidence interval) of uCd levels were computed by established factors using linear regression models. The overall median (IQR) of uCd was 0.53 (0.36, 0.80) μg/g creatinine. uCd levels differed significantly by age, sex, cigarette use, and race/ethnicity, not by study site or dietary factors. In fully adjusted models, participants > 62 years (mean age) had 20% (16%, 22%) higher uCd levels compared to those ≤ 62 years; females had 71% (67%, 76%) higher uCd compared to males. Compared to never smoking, participants with current and former cigarette use had 46% (40%, 52%) and 9% (6%, 13%) higher uCd, respectively. Chinese and Hispanic participants had 81% (73%, 89%) and 6% (2%, 9%) higher uCd, respectively, compared with White participants. Chinese participants had higher levels than other self-reported race/ethnicities, particularly among younger participants, females, never smoking or other tobacco product use, and those born outside of the United States. Smoking continues to have important implications for Cd burden among the general population. Our results highlight non-smoking Chinese women and Chinese participants born outside the US are a particularly vulnerable subgroup affected by higher long-term Cd exposure and body burden.

Indexed as

CadmiumExposureMetalsUS population

Identifiers

PMID40881580
PMCPMC12381654

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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.