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Record W2946801122 · doi:10.1159/000499936

Posttraumatic Stress Disorder Is a Risk Factor for Multiple Addictions in Police Officers Hospitalized for Alcohol

2019· article· en· W2946801122 on OpenAlex
Paul Brunault, Kevin Lebigre, Fatima Idbrik, Damien Maugé, Philippe Adam, Hussein El Ayoubi, Coraline Hingray, Servane Barrault, Marie Grall‐Bronnec, Nicolas Ballon, Wissam El‐Hage

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEuropean Addiction Research · 2019
Typearticle
Languageen
FieldPsychology
TopicPosttraumatic Stress Disorder Research
Canadian institutionsnot available
Fundersnot available
KeywordsAlcohol Use Disorders Identification TestCannabisPsychiatryAddictionAlcohol use disorderPsychologyMedicinePosttraumatic stressCannabis DependenceSubstance abuseClinical psychologyPoison controlInjury preventionAlcoholMedical emergency

Abstract

fetched live from OpenAlex

BACKGROUND: In police officers, posttraumatic stress disorder (PTSD) is associated with alcohol use disorder (AUD), but we lack data on the association between PTSD and other substance-related and addictive disorders. OBJECTIVES: We assessed whether PTSD could be a risk factor for different substance-related and addictive disorders in police officers, including alcohol, tobacco, cannabis, and gambling. METHOD: This cross-sectional study included all police officers admitted consecutively for alcohol to an inpatient ward dedicated to police officers (Le Courbat rehabilitation center, France; n= 133). Each patient completed self-administered questionnaires that assessed lifetime exposure to potentially traumatic events (Life Event Checklist for DSM-5), PTSD severity and diagnosis (PTSD Checklist for DSM-5), AUD severity (Alcohol Use Disorder Identification Test [AUDIT]), tobacco dependence (Fagerström test for Nicotine Dependence), cannabis dependence (Cannabis Abuse Screening test), and gambling disorder (Canadian Problem Gambling Index). RESULTS: Mean AUDIT score was 23.7 ± 8.0; 66.2% had an AUDIT score ≥20. Our sample comprised a high prevalence for PTSD (38.3%) and for substance-related and addictive disorders: tobacco dependence (68.4%), cannabis dependence (3.8%), and pathological gambling (3%). Patients with PTSD experienced higher lifetime exposure to traumatic experiences: physical assault, severe human suffering, sudden accidental death of another person, and other types of stressful events/experiences. In multiple linear regressions adjusted for age, sex, and marital status, PTSD was a significant predictor of the severity of AUD and tobacco use disorder, but not of the severity of cannabis use disorder nor gambling disorder. CONCLUSIONS: PTSD is common in police officers hospitalized for alcohol and associated with a higher severity of some addictive disorders (alcohol/tobacco). PTSD and its comorbid addictive disorders should be systematically screened and treated in this population.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.397
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.003

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 head0.126
GPT teacher head0.432
Teacher spread0.306 · 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