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Record W3174782601 · doi:10.1186/s12888-021-03273-4

A national survey on depressive and anxiety disorders in Afghanistan: A highly traumatized population

2021· article· en· W3174782601 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBMC Psychiatry · 2021
Typearticle
Languageen
FieldPsychology
TopicPosttraumatic Stress Disorder Research
Canadian institutionsMcGill University
FundersEuropean Commission
KeywordsPopulationPsychiatryAnxietyMental healthGeneralized anxiety disorderDistressPsychologyAnxiety disorderChecklistPoison controlMedicineClinical psychologyDemographyEnvironmental health

Abstract

fetched live from OpenAlex

BACKGROUND: This survey attempts to measure at a national level, exposures to major traumas and the prevalence of common mental health disorders in a low-income dangerous country, highly affected by conflicts: Afghanistan. METHODS: Trans-sectional probability survey in general population by multistage sampling in 8 provinces, represented nationwide: 4445 adults (4433 weighted),15 years or older, 81% participation rate. Face to face interviews used specific scales for measuring lifetime exposure (LEC 5 Life Events Checklist) and Post Traumatic Stress Disorder (PTSD Check List), a diagnostic standardized interview: Composite International Diagnostic Interview (Short Form) for. Major Depressive Episode and Generalized Anxiety Disorder, plus scales for suicidal thoughts and attempts and psychological distress (MH5 and RE from SF36). RESULTS: 52.62% of the population is illiterate, 84,61% of the women do not have any source of income; 70.92% of the population lives in rural areas, 60.62% are below 35 years, 80% lives in very dangerous areas. 64.67% of the Afghan population had personally experienced at least one traumatic event; 78.48% had witnessed one such event. 60.77% of the sample experienced collective violence in relation to war and 48.76% reported four or more events; this very much differs across regions and levels of danger; women are less at risk for trauma except sexual violence, 35 years and above are more at risk than younger. 12-month PTSD prevalence reaches a high rate: 5.34% as MDE 11,71%, whereas GAD 2.78%; suicidal thoughts 2.26%, lifetime suicidal attempts 3.50% are close to reported in other countries. Women have more risk for PTSD (0R = 1.93) and suicidal behaviours (attempts OR = 1.92) than men; the number of events increases risk for MDE, PTSD and suicidal attempts, whereas education is protective. Exposure to different war events produced different mental health effects. People suffering from PTSD have higher risk to report 12-months suicidal ideations and lifetime suicidal attempts. CONCLUSION: Our findings highlight the need to map the extent and the types of mental disorders post conflict; this would help maximise the help to be offered in guiding proper choice of interventions, including education.

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)0.001
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 score0.061
Threshold uncertainty score0.954

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.058
GPT teacher head0.373
Teacher spread0.315 · 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