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Record W2967730426 · doi:10.1002/jts.22430

The Hong Kong Survey on the Epidemiology of Trauma Exposure and Posttraumatic Stress Disorder

2019· article· en· W2967730426 on OpenAlexaff
Kitty K. Wu, Patrick W. L. Leung, Corine Sau Man Wong, Philippa M. W. Yu, Betty T. C. Luk, Jamie P. K. Cheng, Rose Wong, Patsy P. S. Wong, Joey C. C. Lui, J. Ngan, Flora L. T. Leung, Linda Lam

Bibliographic record

VenueJournal of Traumatic Stress · 2019
Typearticle
Languageen
FieldPsychology
TopicPosttraumatic Stress Disorder Research
Canadian institutionsCanadian Mental Health Association
Fundersnot available
KeywordsPsychiatryEpidemiologyMental healthMedicineSuicidal ideationLogistic regressionOdds ratioPosttraumatic stressClinical psychologyPoison controlPsychologyInjury preventionInternal medicineEnvironmental health

Abstract

fetched live from OpenAlex

This study examined the epidemiology of trauma exposure (TE) and posttraumatic stress disorder (PTSD) among community-dwelling Chinese adults in Hong Kong. Multistage stratification sampling design was used, and 5,377 participants were included. In Phase 1, TE, probable PTSD (p-PTSD), and psychiatric comorbid conditions were examined. In Phase 2, the Structured Clinical Interview for the DSM-IV (SCID-I) was used to determine the weighted diagnostic prevalence of lifetime full PTSD. Disability level and health service utilization were studied. The findings showed that the weighted prevalence of TE was 64.8%, and increased to 88.7% when indirect TE types were included, with transportation accidents (50.8%) reported as the most common TE. The prevalence of current p-PTSD among participants with TE was 2.9%. Results of logistic regression suggested that nine specific trauma types were significantly associated with p-PTSD; among this group, severe human suffering, sexual assault, unwanted or uncomfortable sexual experience, captivity, and sudden and violent death carried the greatest risks for developing PTSD, odds ratio (OR) = 2.32-2.69. The occurrence of p-PTSD was associated with more mental health burdens, including (a) sixfold higher rates for any past-week common mental disorder, OR = 28.4, (b) more mental health service utilization, p < .001, (c) poorer mental health indexes in level of symptomatology, suicide ideation and functioning, p < .001, and (d) more disability, ps < .001-p = .014. The associations found among TE, PTSD, and health service utilization suggest that both TE and PTSD should be considered public health concerns.

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)0.006
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation 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 score0.038
Threshold uncertainty score0.944

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.117
GPT teacher head0.389
Teacher spread0.272 · 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.

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

Citations29
Published2019
Admission routes1
Has abstractyes

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