Evidence map›Paper›PMID 42464045›Full record

ArticleThe Journal of head trauma rehabilitation2026

Military Occupational Blast Exposure: Definition, Operationalization, and Validation of a Reproducible Risk Classification Metric.

Sarah L Martindale, Jared A Rowland, Jennifer N Belding, Megan E Amuan, Eamonn Kennedy, Huong Nguyen, Lisa A Brenner, Ian J Stewart, David X Cifu, Mary Jo Pugh

Abstract read
In one paragraph

Article in The Journal of head trauma rehabilitation, 2026. 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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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

10 authors.

Sarah L MartindaleAuthor Affiliations: Salisbury VA Healthcare System, Salisbury, North Carolina (Martindale and Rowland); VISN-6 Mid-Atlantic MIRECC, Durham, North Carolina (Martindale and Rowland); Department of Translational Neuroscience, Wake Forest School of Medicine, Winston-Salem, North Carolina (Martindale and Rowland); Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD (Belding). Informatics, Decision-Enhancement, and Analytic Sciences (IDEAS) Center of Innovation, VA Salt Lake City Health Care System, Salt Lake City, UT (Amuan, Kennedy, Nguyen, and Pugh); Department of Internal Medicine, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City, UT (Amuan, Kennedy, Nguyen and Pugh); VA Brain Health Coordinating Center (Brenner and Cifu); University of Colorado, Anschutz Medical Campus, Aurora, Colorado (Brenner); Department of Nephrology, Uniformed Services University of the Health Sciences, Bethesda, MD (Stewart); Department of Physical Medicine and Rehabilitation, Virginia Commonwealth University, Richmond, VA (Cifu); and Central Virginia Veteran Healthcare System, Richmond Veterans Affair Medical Center, Richmond, VA (Cifu).ORCID 0000-0002-0059-3454
Jennifer N Belding
Huong Nguyen
Lisa A Brenner
Ian J Stewart
Mary Jo Pugh

Funding

CTSA UM1 Program at University of UtahUM1TR004409 · NCATS · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI RACHEL HESS, Jennifer Juhl Majersik · 2023 to 2026
$21.9M
University of Utah Center for Clinical and Translational ScienceUL1TR001067 · NCATS · UNIVERSITY OF UTAH · PI DERE, WILLARD H., HESS, RACHEL · 2013 to 2017
$19.8M
UNIVERSITY OF UTAH CENTER FOR CLINICAL AND TRANSLATIONAL SCIENCE-UL1: BPCAUL1RR025764 · NCRR · UNIVERSITY OF UTAH · PI MCCLAIN, DONALD A. · 2008 to 2011
$19.4M
University of Utah Center for Clinical and Translational Science-UL1UL1TR000105 · NCATS · UNIVERSITY OF UTAH · PI MCCLAIN, DONALD A. · 2012 to 2013
$5.1M
CSRD VA I01 CX001135CSRD VA I01 CX001246CSRD VA I01 CX001820CSRD VA I01 CX002096CSRD VA I01 CX002097HSRD VA I01 HX003155HSRD VA IK6 HX003762NCATS NIH HHS UL1 TR000105NCATS NIH HHS UL1 TR001067NCATS NIH HHS UM1 TR004409NCATS NIH HHS UM1TR004409NCRR NIH HHS UL1 RR025764RRD VA I01 RX001135RRD VA I01 RX001774RRD VA I01 RX001880RRD VA I01 RX002076RRD VA I01 RX002170RRD VA I01 RX002171RRD VA I01 RX002172RRD VA I01 RX002173RRD VA I01 RX002174RRD VA I01 RX003442RRD VA I01 RX003443RRD VA I01 RX003444U.S. Department of Defense W81XWH-18-PH/TBIRP-LIMBICU.S. Department of Veterans Affairs IK6HX002608
6 · The paper itself

Abstract

objectiveTo define Military Occupational Blast Exposure (MOBE) as a standardized construct of cumulative occupational blast exposure spanning low-level blast and high-level blast, and propose reproducible MOBE risk classification groups based on military occupations when objective blast records or detailed lifetime interviews are unavailable.

settingData were drawn from 2 Long-term Impact of Military-relevant Brain Injury Consortium-Chronic Effects of Neurotrauma Consortium (LIMBIC-CENC) studies: a retrospective cohort study and a multisite prospective longitudinal cohort.

participantsThe Phenotype Study included 2 522 880 post-9/11 service members and Veterans. The Prospective Longitudinal Study (PLS) included 1666 service members and Veterans who had experienced combat.

designThe Phenotype Study was used to operationalize MOBE risk classification and characterize demographic and military correlates. PLS data were used to evaluate whether MOBE risk classification aligned with blast exposure history and blast traumatic brain injury (TBI) history. MAIN MEASURES: MOBE risk classification was compared with the generalized blast exposure value (GBEV) and blast exposure category scores from the Blast Exposure Threshold Survey, as well as blast TBI history from clinical interview data.

resultsThe Phenotype study classified 31.1% of military occupational codes into high-risk MOBE (MOBE+). In the PLS, MOBE+ individuals were more likely than MOBE- individuals to report blast TBI history (43.7% vs. 27.0%) and exceed the GBEV threshold of 200 000 (66.0% vs. 42.2%; both P < .001). MOBE+ individuals also reported higher mean blast exposure scores across all categories, with significant differences for small arms and large explosives. Occupational-level analyses showed meaningful heterogeneity in blast exposure profiles across high-risk occupations.

conclusionsMOBE risk classification differentiated meaningful patterns of blast exposure and blast-related injury in a well-characterized cohort. Findings support MOBE as a practical, scalable, standardized approach for estimating occupational blast exposure risk and improving comparability across studies when detailed individual exposure histories are unavailable.

Indexed as

blastmilitaryneurotraumatraumatic brain injuryVeteran

Identifiers

PMID42464045
PMCPMC13470502

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Registered trials

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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.