Evidence map›Paper›PMID 41366476›Full record

ArticleBMC psychology2025

Association of potential morally injurious events, moral injury and somatic symptoms of health in UK military veterans: a cross-sectional study.

Gavin M Campbell, Natasha Biscoe, Amanda Bonson, Dominic Murphy

Abstract read
In one paragraph

Article in BMC psychology, 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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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Gavin M CampbellCombat Stress Centre for Applied Military Health Research, Leatherhead, Surrey, UK. gavin.campbell@combatstress.org.uk.ORCID http://orcid.org/0000-0002-2358-7065
Natasha BiscoeCombat Stress Centre for Applied Military Health Research, Leatherhead, Surrey, UK.ORCID http://orcid.org/0000-0003-3471-6472
Amanda BonsonCombat Stress Centre for Applied Military Health Research, Leatherhead, Surrey, UK.ORCID http://orcid.org/0000-0001-8222-7708
Dominic MurphyCombat Stress Centre for Applied Military Health Research, Leatherhead, Surrey, UK.ORCID http://orcid.org/0000-0002-9530-2743

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMoral injury can follow exposure to three types of potentially morally injurious event (PMIE). Both PMIE exposure and moral injury are associated with poor health and functioning outcomes. Moral injury, somatic symptoms and other impaired mental health and functioning outcomes are frequently observed as co-occurring in treatment-seeking military veterans. This cross-sectional study aimed to examine the associations between moral injury, somatic symptoms and other frequent co-morbidities, and the association between the PMIE type experienced and somatic symptoms. Better understanding the relationships between these comorbidities can help inform assessment and clinical interventions in complex and comorbid populations.

methodsA total of 428 UK armed forces veterans seeking treatment for mental health difficulties from a treatment charity completed measures exploring PMIE type, moral injury, somatic symptoms, and frequently co-occurring outcomes including anger, depression and anxiety, Complex PTSD (CPTSD) and PTSD. Single and multiple linear regression models were used to analyse the relationship between co-morbid symptoms. Logistical regression models were used to explore the relationship between PMIE type and somatic symptoms. 

resultsLinear regressions observed significant relationships between symptoms of moral injury and somatic symptoms, anxiety and depression, anger difficulties and CPTSD. Only associations with anger difficulties and CPTSD remained significant after adjusting for other significant health outcomes. Betrayal-PMIEs were significantly associated with somatic symptoms. Co-occurring anger was significantly associated with this relationship.

conclusionsThese results indicate that moral injury symptoms appeared most strongly associated with co-occurring anger and CPTSD. Different PMIEs may result in differing somatic symptoms, with the presence of anger potentially playing a moderating role. This has significance for guiding deeper understanding of patient presentations, as well as indicating possible focus for transdiagnostic therapeutic interventions. The underlying mechanisms of moral injury including as a co-morbidity and its overlap with an array of health outcomes, require further exploration.

Indexed as

Medically Unexplained SymptomsMoralsStress Disorders, Post-TraumaticVeteransAdultAngerAnxietyComorbidityCross-Sectional StudiesDepressionFemaleHumansMaleMiddle AgedUnited KingdomArmed forcesMilitaryMoral injuryPMIESomatisationVeteran

Identifiers

PMID41366476
PMCPMC12801985

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LicenceCC BY
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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.