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Record W1989834311 · doi:10.1177/0020764004043125

Household Survey of Psychiatric Morbidity in Cambodia

2004· article· en· W1989834311 on OpenAlexaff
Vincent Dubois, René Tonglet, Philippe Hoyois, Ka Sunbaunat, Jean-Paul Roussaux, Edvard Hauff

Bibliographic record

VenueInternational Journal of Social Psychiatry · 2004
Typearticle
Languageen
FieldPsychology
TopicMental Health Treatment and Access
Canadian institutionsHôpital Saint-Luc
FundersNational Institutes of HealthUniversité Catholique de Louvain
KeywordsPsychiatryPsychosocialAnxietyDepression (economics)ComorbidityContext (archaeology)Clinical psychologyPsychologyNational Comorbidity SurveySocial supportCross-sectional studyAnxiety disorderMedicine

Abstract

fetched live from OpenAlex

AIMS: To estimate the prevalence of psychiatric symptoms in the Kampong Cham province and to determine the association between these symptoms and an impaired social functioning. METHODS: Cross-sectional cluster sample survey conducted among adults randomly selected within 50 clusters distributed over the province. METHODS: Of the respondents, 42.4% reported symptoms that met the Diagnostic and Statistical Manual of Mental Disorders, 4th edition criteria for depression, 53% displayed high anxiety symptoms and 7.3% met posttraumatic stress disorder (PTSD) criteria. Posttraumatic symptoms of intrusion and avoidance were present in 47.8% and 45.4% respectively. When reviewing comorbidities, 29.2% had depression and anxiety symptoms, 16.5% anxiety symptoms, 6.1% depression and 7.1% had triple comorbidity (PTSD, depression and anxiety). Regarding social functioning, 25.3% reported being socially impaired. Respondents with comorbid symptoms for depression, anxiety and PTSD were associated with an increased risk for social impairment compared with others. Being over 65 years and having experienced violent events were other factors associated with social impairment. CONCLUSION: Five years after the return of a more stable context in Cambodia, the prevalence of psychiatric symptoms in the community remains high. In addition, these symptoms are strongly associated with social impairment. This suggests that beyond psychosocial programs, the implementation of adapted clinical psychiatric care should be considered as a priority.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.634

Codex and Gemma teacher scores by category

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

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 head0.057
GPT teacher head0.398
Teacher spread0.341 · 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

Citations48
Published2004
Admission routes1
Has abstractyes

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