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Record W4319295207 · doi:10.1177/07067437221149467

Potentially Psychologically Traumatic Event Exposure Histories of new Royal Canadian Mounted Police Cadets

2023· article· en· W4319295207 on OpenAlexafffundvenueabout
Katie L. Andrews, Laleh Jamshidi, Jolan Nisbet, Alain Brunet, Tracie O. Afifi, Gordon J. G. Asmundson, Amber J. Fletcher, Kirby Q. Maguire, Taylor A. Teckchandani, Lisa M. Lix, Shannon Sauer‐Zavala, Jitender Sareen, Terence M. Keane, J. Patrick Neary, R. Nicholas Carleton

Bibliographic record

VenueThe Canadian Journal of Psychiatry · 2023
Typearticle
Languageen
FieldPsychology
TopicPosttraumatic Stress Disorder Research
Canadian institutionsDouglas Mental Health University InstituteCanadian Institute for Public Safety Research and TreatmentUniversity of ManitobaUniversity of Regina
FundersRoyal Canadian Mounted Police
KeywordsCadetMedicinePopulationChecklistPsychiatryEpidemiologyMental healthPsychologyEnvironmental healthInternal medicine

Abstract

fetched live from OpenAlex

Objective Royal Canadian Mounted Police (RCMP) report extremely frequent and varied exposures to potentially psychologically traumatic events (PPTEs). While occupational exposures to PPTEs may be one explanation for the symptoms of mental disorders prevalent among serving RCMP, exposures occurring prior to service may also play a role. The objective of the current study was to provide estimates of lifetime PPTE exposures among RCMP cadets in training and assess for associations with mental disorders or sociodemographic variables. Methods RCMP cadets ( n = 772; 72.0% male) beginning the Cadet Training Program (CTP) completed a survey assessing self-reported PPTE exposures as measured by the Life Events Checklist for the Diagnostic and Statistical Manual of Mental Disorders Fifth Edition-Extended. Binomial tests were conducted to compare the current results to previously collected data from the general population, a diverse sample of public safety personnel (PSP) and serving RCMP. Results Cadets reported statistically significantly fewer PPTE exposures for all PPTE types than serving RCMP (all p’ s < 0.001) and PSP (all p’ s < 0.001) but more PPTE exposures for all PPTE types than the general population (all p’ s < 0.001). Cadets also endorsed fewer PPTE types (6.00 ± 4.47) than serving RCMP (11.64 ± 3.40; p < 0.001) and other PSP (11.08 ± 3.23) but more types than the general population (2.31 ± 2.33; p < 0.001). Participants who reported being exposed to any PPTE type reported the exposures occurred 1–5 times (29.1% of participants), 6–10 times (18.3%) or 10 + times (43.1%) before starting the CTP. Several PPTE types were associated with positive screens for one or more mental disorders. There were associations between PPTE types and increased odds of screening positive for post-traumatic stress disorder (PTSD), major depressive disorder (MDD), generalized anxiety disorder (GAD) and social anxiety disorder (SAD) (all p’s < 0.05). Serious transport accident (11.1%), physical assault (9.5%) and sudden accidental death (8.4%) were the PPTEs most identified as the worst event, and all were associated with positive screens for one or more mental disorders. Conclusion The current results provide the first information describing PPTE histories of cadets, evidencing exposure frequencies and types much higher than the general population. PPTE exposures may have contributed to the cadet's vocational choices. The current results support the growing evidence that PPTEs can be associated with diverse mental disorders; however, the results also suggest cadets may be uncommonly resilient, based on how few screened positive for mental disorders, despite reporting higher frequencies of PPTE exposures prior to CTP than the general 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.

How this classification was reachedexpand

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.804
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.058
GPT teacher head0.352
Teacher spread0.295 · 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 teacher head, not a consensus.

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

Citations16
Published2023
Admission routes4
Has abstractyes

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