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Record W4296779674 · doi:10.1093/pch/21.supp5.e61

Severe Alcohol Intoxication in Canadian Adolescents: 2 Year Surveillance Data

2016· article· en· W4296779674 on OpenAlexaboutno aff
A Acker, K Dow, M Norris, D Allain, K Thomas

Bibliographic record

VenuePaediatrics & Child Health · 2016
Typearticle
Languageen
FieldMedicine
TopicPoisoning and overdose treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAlcohol intoxicationIncidence (geometry)EpidemiologyInjury preventionDemographicsBlood alcoholOccupational safety and healthPediatricsPoison controlPresentation (obstetrics)Suicide preventionEmergency medicineDemographySurgeryInternal medicine

Abstract

fetched live from OpenAlex

Abstract BACKGROUND: Alcohol is the most commonly used drug by Canadian adolescents, and can lead to a host of negative short and long-term outcomes. Understanding more about youth drinking can help develop more effective strategies for treatment and prevention. This study, gathering data through the Canadian Pediatric Surveillance Program (CPSP), was completed to fill in knowledge gaps and provide epidemiologic data about severe alcohol intoxication among Canadian adolescents. OBJECTIVES: The objectives of the surveillance study included: 1) To obtain national epidemiological data outlining the incidence of severe alcohol intoxication among adolescents. 2) To describe the demographics, presentation to hospital, co-ingestions, co-morbidities, management and short-term outcomes. 3) To use the data to increase awareness and education. 4) To facilitate harm reduction strategies. DESIGN/METHODS: Through the established methodology of the CPSP, paediatric physicians have been actively surveyed on a monthly basis for identified cases of severe alcohol intoxication. A detailed questionnaire was then completed for each new case. The case definition includes any adolescent meeting the following criteria: 1) Between 11-15 years of age 2) Blood alcohol level > 0 g/L (if drawn) 3) Presenting with severe intoxication with impaired consciousness requiring prolonged ER observation (≥ 6 hours) or hospital admission. RESULTS: In the two years of surveillance, 40 cases were confirmed, including 21 male and 19 female adolescents, with a median age of 14. The youngest case reported was 11 years old. There were no significant differences between sex and blood alcohol level or age at presentation and blood alcohol level. Additional descriptive data of the confirmed cases will be reported and discussed. CONCLUSION: After two years of surveillance, 40 cases of severe intoxication in adolescents have been identified. This is likely only the ‘tip of the iceberg’ and represents the more severe cases that required prolonged ER observation or hospital admission. The young age of presentation (youngest 11 years of age) and severity of intoxication requiring observation/admission are concerning. These data regarding Canadian adolescents presenting to the ED with severe intoxication will help inform strategies for education, prevention and harm reduction. It is noteworthy that the majority of adolescents with severe intoxication consumed spirits, suggesting that more education for adolescents around the higher potency of spirits relative to other alcoholic beverages and the dangers of consumption even in small amounts could reduce the incidence of severe alcohol intoxication in children and adolescents. Consideration of more stringent controls on spirits to help decrease adolescents’ access would assist with harm reduction.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.019
Threshold uncertainty score0.138

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0040.007
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0010.001
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 head0.026
GPT teacher head0.308
Teacher spread0.283 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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