Evidence map›Paper›PMID 41712343›Full record

ArticleRehabilitation psychology2026

Associations among epilepsy phenotypes and pain, sleep interference, and dissociative symptoms.

Jack D Watson, Elise V Bailey, Amy Henion, Shirin Saleh, Madeline Myers, Hamada H Altalib, W Curt LaFrance, Mary Jo Pugh

Abstract read
In one paragraph

Article in Rehabilitation psychology, 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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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

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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

8 authors.

Jack D WatsonInformatics, Decision Enhancement, and Analytic Sciences Center, Salt Lake City Department of Veterans Affairs.ORCID 0000-0002-1348-4214
Elise V BaileyDepartment of Internal Medicine, Division of Epidemiology, University of Utah School of Medicine.ORCID 0000-0002-0367-5113
Amy HenionInformatics, Decision Enhancement, and Analytic Sciences Center, Salt Lake City Department of Veterans Affairs.ORCID 0000-0001-5759-344X
Shirin SalehDepartment of Internal Medicine, Division of Epidemiology, University of Utah School of Medicine.
Madeline MyersInformatics, Decision Enhancement, and Analytic Sciences Center, Salt Lake City Department of Veterans Affairs.
Hamada H AltalibDepartment of Neurology, VA Connecticut Health Care System.ORCID 0000-0001-7154-1400
W Curt LaFranceDepartment of Psychiatry, Rhode Island Hospital, Brown University.ORCID 0000-0002-4901-3852
Mary Jo PughInformatics, Decision Enhancement, and Analytic Sciences Center, Salt Lake City Department of Veterans Affairs.ORCID 0000-0003-4196-7763

Funding

Congressionally Directed Medical Research Program; Epilepsy Research ProgramHSRD VA IK6 HX003762US Department of Veterans AffairsUS Department of Veterans Affairs; Epilepsy Centers of Excellence in West Haven, Connecticut, and Providence, RUS Department of Veterans Affairs; Health Services Research and Development ServiceUS Department of Veterans Affairs; HSR&D
6 · The paper itself

Abstract

PURPOSE/

objectiveThe current study investigated the extent to which epilepsy comorbidity phenotypes (relatively healthy, posttraumatic stress disorder, polytrauma, bipolar/substance use disorder, chronic disease, and anxiety and depression) are associated with pain interference, sleep interference, and dissociative symptoms for post-9/11 Veterans with epilepsy (VWE). RESEARCH METHOD/

designA total of 482 veterans were recruited via postal mail with a final sample size of 423 veterans included for analysis, with 59 veterans removed due to incomplete data. Veterans were largely non-Hispanic White (85.80%) and predominantly female (54.80%). Three series of hierarchical blockwise regressions were conducted to test the predictive capability of the epilepsy phenotypes for pain interference, sleep interference, and dissociative symptoms while controlling for covariates (age, ethnicity, sex, traumatic brain injury severity, epilepsy interference, caregiver status, blast exposure, and warzone deployment).

resultsAfter adjusting for covariates, the posttraumatic stress disorder, polytrauma, and chronic disease phenotypes remained significant predictors of pain interference, and the polytrauma and bipolar/substance use disorder phenotypes remained significant predictors of sleep interference. No phenotype predicted dissociative symptoms in fully adjusted models. Critically, epilepsy interference was the single most consistent and strongest predictor across models ( CONCLUSION/IMPLICATIONS: Among VWE, some epilepsy phenotypes may account for independent risk beyond demographic and injury characteristics for pain and sleep interference. These findings underscore the importance of targeted assessment and intervention strategies tailored to specific comorbidity profiles in the management of pain and sleep difficulties among VWE. (PsycInfo Database Record (c) 2026 APA, all rights reserved).

Identifiers

PMID41712343
PMCPMC13426610

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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 Socratic graph.