Hazardous birthday drinking among young people: population‐based impacts on emergency department and in‐patient hospital admissions
Bibliographic record
Abstract
BACKGROUND AND AIMS: There is growing concern about the possible adverse health impacts of binge drinking during birthday celebrations among adolescents and young adults. We estimate the impacts of birthday alcohol use on adolescent and young adult in-patient/emergency department (ED) hospital admissions. DESIGN: We employed Autoregressive Integrated Moving Average (ARIMA) intervention analysis to assess whether the rate of ICD-10 alcohol-use-disorder (AUD) events per 1000 in-patient/ED admissions increased significantly during birthday weeks. SETTING: All in-patient/ED admissions in Ontario, Canada from 1 April 2002 to 31 March 2007. PARTICIPANTS: Individuals aged 12-30 years. MEASUREMENTS: AUD events per 1000 in-patient/ED admissions by age in weeks. FINDINGS: Multiple increases were found. The largest occurred during the birthday week of 19 years of age, the beginning of the minimum legal drinking age (MLDA) in Ontario: AUD admission rates increased (spiked) by 38.30 per 1000 total admissions [95% confidence interval (CI) = 34.66-41.94] among males (a 114.3% increase over baseline), and by 28.13 (95% CI = 25.56-30.70) among females (a 164.0% increase). Among both genders, the second largest birthday-week spikes occurred during ages 20-22 years, followed by somewhat lower but still pronounced birthday-week spikes during ages 23-26 years and 30 years (all these spikes: P < 0.05). Birthday-week spikes occurred as early as age 16 years for males and 14 years for females (both spikes: P < 0.05). CONCLUSIONS: There appears to be an increase in alcohol-related adverse events from drinking around the time of one's birthday among young adults in Canada.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".