Evidence map›Paper›PMID 41140316›Full record

ArticleEnvironmental epidemiology (Philadelphia, Pa.)2025

Cross-sectional associations of self-reported firearm use with blood lead concentrations in a nationally representative cohort of US adults.

Madeline Day, Joseph M Braun, Christian Hoover

Abstract read
In one paragraph

Article in Environmental epidemiology (Philadelphia, Pa.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

3 authors.

Madeline DayDepartment of Epidemiology, Brown University, School of Public Health, Providence, Rhode Island.ORCID https://orcid.org/0009-0005-4282-976X
Joseph M BraunDepartment of Epidemiology, Brown University, School of Public Health, Providence, Rhode Island.
Christian HooverDepartment of Epidemiology, Brown University, School of Public Health, Providence, Rhode Island.ORCID https://orcid.org/0000-0002-6125-0914

Funding

Cumulative Lead Exposure in Veterans with PTSD: Examining Firearm Use and Cognitive Therapy Outcomes with novel portable X-Ray FluorescenceF31ES036867 · NIEHS · BROWN UNIVERSITY · PI Christian Shaw Hoover · 2025 to 2026
$106k
NIEHS NIH HHS F31 ES036867
6 · The paper itself

Abstract

Background: Firearm-related lead exposure could occur when firearms discharge lead ammunition particles. Prior studies were primarily among military or police participants, but this relation has not been examined in civilian populations. Thus, among noninstitutionalized United States (US) adult civilians, we examined the association of self-reported firearm noise exposure (proxy for firearm-related lead exposure) and firearm use with blood lead concentrations. Methods: We used 5 cycles of the National Health and Nutrition Examination Survey. Using lead biomarkers and questionnaires related to firearm noise exposure (1999-2004, n = 9,606) and firearm use (2011-2012 and 2015-2016, n = 5,972), we calculated survey-weighted and covariate-adjusted percent differences in blood lead concentrations. We adjusted for gender, age, race/ethnicity, and education. Sensitivity analyses separately examined whether former military status, pre-1978 housing, or occupation confounded these associations. Results: Self-reported firearm noise exposure was associated with blood lead concentrations (percent difference 15%; 95% CI = 7%, 23%), but firearm use was not (percent difference 1%; 95% CI = -5%, 9%). However, blood lead concentrations were 9% (95% CI = -5%, 25%) and 21% (95% CI = -5%, 54%) higher among those who reported shooting 1,000-10,000 and 10,000+ rounds, respectively ( Conclusion: In this representative sample of US civilians, individuals who used firearms more frequently (10,000+ rounds) had increased blood lead concentrations.

Identifiers

PMID41140316
PMCPMC12551738

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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.