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Record W4410314435 · doi:10.1093/crocol/otaf035

The Spectrum of Psychiatric Comorbidity in Individuals With Inflammatory Bowel Disease

2025· article· en· W4410314435 on OpenAlexafffund
Kianna Cadogan, Ruth Ann Marrie, Lesley A. Graff, Renee El Gabalawy, Murray W. Enns, James M. Bolton, Jitender Sareen, Çharles N. Bernstein

Bibliographic record

VenueCrohn s & Colitis 360 · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsDalhousie UniversityUniversity of ManitobaManitoba HealthHealth Sciences Centre
FundersCanadian Institutes of Health ResearchPfizer FoundationArthritis SocietyCrohn's and Colitis CanadaMultiple Sclerosis SocietyDalhousie UniversityBiogenPfizerU.S. Department of Defense
KeywordsPsychiatric comorbidityComorbidityInflammatory bowel diseaseMedicinePsychiatryPsychiatric DiseaseDiseaseInternal medicine

Abstract

fetched live from OpenAlex

Abstract Background Research on psychiatric comorbidity in inflammatory bowel disease (IBD) has focused mostly on anxiety and depression. This study aimed to describe the spectrum of psychiatric disorders experienced by individuals with IBD and their overlap. Methods Participants were enrolled in a prospective 3-year longitudinal study that assessed psychiatric comorbidity in immune-mediated inflammatory disease. Lifetime prevalence of psychiatric comorbidity was assessed using the Structured Clinical Interview for DSM-IV Disorders (SCID-IV), as the DSM-IV was the prevailing classification at the time of study design. Diagnosis was aligned with DSM-5 categorization where possible with available data. Psychiatric burden was categorized as no psychiatric conditions, 1, 2 or 3 or more psychiatric conditions. Results Of 154 IBD participants (62%female, 63% Crohn’s disease) 57% had at least one psychiatric comorbidity with 27% having >1 psychiatric diagnosis. The prevalence was major depressive disorder (MDD, 41.7%), anxiety disorders (39.6%; grouped as per DSM-5), substance use disorder (SUD, 16.2%), posttraumatic stress disorder (5.3%), obsessive-compulsive disorder (4.9%), and bipolar disorder (2.0%). Of participants with MDD and a comorbid psychiatric disorder, nearly half had SUD. Of those with >1 psychiatric disorder >70% had MDD and a comorbid anxiety disorder. Persons with ≥1 psychiatric comorbidity were more likely to be current smokers (P < .001) and to have higher IBD disease activity scores (P = .005) than those without a psychiatric comorbidity. Conclusions Over half of adults with IBD had >1 diagnosed psychiatric comorbidity from a range of 10 different psychiatric disorders identified. Further research should assess the temporal relationship of IBD and the various psychiatric presentations to better understand the trajectory of co-occurrence, and therapy which may concurrently address the psychiatric disorder and the IBD.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.004
GPT teacher head0.231
Teacher spread0.227 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2025
Admission routes2
Has abstractyes

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