Evidence map›Paper›PMID 40361032›Full record

ArticleBMC public health2025

Association of cobalt exposure with all-cause and cardiovascular mortality in U.S. adults.

Chunhui He, Min Gao, Ting He, Fuwei Xing

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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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

4 authors.

Chunhui HeDepartment of Cardiology, Beijing An Zhen Hospital, Capital Medical University, National Clinical Research Center for Cardiovascular Diseases, Beijing, 100029, China.
Min GaoChinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China.
Ting HeBeijing Key Laboratory of Preclinical Research and Evaluation for Cardiovascular Implant Materials, Animal Experimental Centre, National Centre for Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China.
Fuwei XingDepartment of Cardiology, Biomedical Innovation Center, The Sixth Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510655, China. xingfw3@mail.sysu.edu.cn.

Funding

Beijing Natural Science Foundation 7222143National Hige Level Hospital Clinical Research Funding 2022-GSP-GG-9National High Level Hospital Clinical Research Funding 2023-GSP-QN-36
6 · The paper itself

Abstract

backgroundCobalt exposure is recognized as a potential risk factor for cardiovascular disease (CVD). However, the impact of cobalt exposure on mortality, particularly concerning CVD-related deaths, in the U.S. remains uncertain.

methodsData from the National Health and Nutrition Examination Surveys (NHANES) spanning 1999-2018 were utilized to assess urinary cobalt levels in participants aged 20 years and older (n = 15,873). For the analysis of blood cobalt, data from NHANES covering the years 2015-2018 were considered, limited to participants aged 40 years and older (n = 6,692). The follow-up period extended until December 31, 2019.

resultsThe median values of ln-transformed urinary cobalt (creatinine corrected) and blood cobalt were - 1.10 ln(µg/g) and - 1.90 ln(µg/L), respectively. For urinary cobalt, during a median follow-up period of 130.0 months (interquartile range: 70.25-189.0), 2,304 participants died, with 613 deaths attributed to CVD. After adjusting for potential covariates, an increase in urinary cobalt level was significantly associated with a higher risk of all-cause mortality and CVD mortality (per 1 ln-unit increment, HR: 1.19, 95% CI: 1.07, 1.32; HR: 1.30, 95% CI: 1.06, 1.60, respectively). For blood cobalt, the adjusted HRs were 1.57 (95% CI: 1.15, 2.14) for all-cause mortality and 2.02 (95% CI: 1.10, 3.72) for CVD mortality.

conclusionsIn the U.S., low-level environmental cobalt exposure is a significant risk factor for both all-cause mortality and CVD mortality. SYNOPSIS: Cobalt, a metallic element commonly encountered by the general population through food, water, or air inhalation, emerges as a novel risk factor for cardiovascular disease mortality.

Indexed as

Cardiovascular DiseasesCobaltEnvironmental ExposureAdultAgedCause of DeathFemaleHumansMaleMiddle AgedNutrition SurveysRisk FactorsUnited StatesYoung AdultCobaltCardiovascular diseaseCobaltMortalityNHANES

Identifiers

PMID40361032
PMCPMC12070784

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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.