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Record W2048124024 · doi:10.4102/phcfm.v1i1.45

Incidence of suicide among teenagers and young adults in Transkei, South Africa

2009· article· en· W2048124024 on OpenAlexaboutno aff
B Meel

Bibliographic record

VenueAfrican Journal of Primary Health Care & Family Medicine · 2009
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsnot available
Fundersnot available
KeywordsIncidence (geometry)DemographyQuarter (Canadian coin)MedicinePopulationSuicide preventionYoung adultInjury preventionOccupational safety and healthPoison controlPediatricsGeographyGerontologyEnvironmental health

Abstract

fetched live from OpenAlex

Background: Transkei is the least developed of the former black homelands in South Africa and has a population of about 4 million. People in this area are poor and depend mainly on the income from migratory workers to the gold mines. Suicide is a complex problem, with no definitive causative agent that has been identified as yet. Suicide among teenagers and young adults is now emerging as an important mental health issue. Suicidal behaviour in the population is under- researched, and therefore under-reported.Method: This is a retrospective record review from 1993 to 2003, carried out in the Umtata General Hospital mortuary. About 1 000 medico-legal autopsies are conducted annually, and the mortuary caters for a population of about 400 000.Results: Of the 10 340 medico-legal autopsies, 398 (3.84%) suicide cases were due to hanging. The number has increased from 5.2 per 100 000 of the population in 1993 to 16.2 in 2003. More than a half (55%) of the hangings were of people less than 30 years of age, and less than one-quarter (23%) of these victims were younger than 20 years. The rate in males has increased from 4.5 (1993) to 14 per 100 000, and in females from 0.7 to 2.2 per 100 000. The male/female ratio is recorded highest (9 : 1) in the 20- and 29-year age group.Conclusion: There is an increasing incidence of suicides among young adults. Suicidal tendency among teenagers and young adults is emerging as an important health issue that needs to be addressed.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.757
Threshold uncertainty score0.769

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.021
GPT teacher head0.311
Teacher spread0.290 · 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

Citations10
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueAfrican Journal of Primary Health Care & Family MedicineSame topicMigration, Health and TraumaFrench-language works237,207