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Record W2039309733 · doi:10.1002/jts.20439

Symptoms of posttraumatic stress disorder among adult survivors three months after the Sichuan earthquake in China

2009· article· en· W2039309733 on OpenAlexaff
Li Wang, Yuqing Zhang, Wenzhong Wang, Zhanbiao Shi, Jianhua Shen, Ming Li, Yong Xin

Bibliographic record

VenueJournal of Traumatic Stress · 2009
Typearticle
Languageen
FieldPsychology
TopicPosttraumatic Stress Disorder Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsChinaMental healthPosttraumatic stressPsychological interventionPsychiatrySocial supportDisaster areaSuicide preventionOccupational safety and healthPsychologyInjury preventionPoison controlMedicineClinical psychologyEnvironmental healthGeography

Abstract

fetched live from OpenAlex

The study investigated the symptoms of posttraumatic stress disorder (PTSD) and associated risk factors among adult survivors 3 months after the 2008 Sichuan earthquake in China. One thousand five hundred sixty-three earthquake survivors in two communities participated in the study. The prevalence of probable PTSD was 37.8% and 13.0%, respectively, in the two communities that were affected differently by the earthquake. The significant predictive factors for the severity of PTSD symptoms were female gender, subnationality, lower educational level, lower social support, and higher initial exposure level. The results indicate that PTSD is also a common mental health problem among earthquake survivors in China. Given inadequate knowledge and practices concerning the mental health of disaster victims in China, the information provided by this study is useful for directing, strengthening, and evaluating disaster-related mental health needs and interventions after the earthquake.

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)0.001
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 score0.041
Threshold uncertainty score0.082

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0000.001
Research integrity0.0000.000
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 head0.020
GPT teacher head0.312
Teacher spread0.292 · 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

Citations127
Published2009
Admission routes1
Has abstractyes

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