Prices, alcohol use initiation and heavy episodic drinking among Chilean youth
Bibliographic record
Abstract
AIMS: To examine the association between alcohol prices and age of initiation of alcohol use and the association between age of alcohol use initiation and heavy episodic drinking (HED) among adolescents in Chile. DESIGN: We estimated discrete-time hazard models using retrospective data and generalized ordered probit models with repeated cross-sectional data. SETTING: Chile. PARTICIPANTS: A total of 248 336 urban youth who attended secondary school between 2003 and 2015 and self-reported ever having tried alcohol. MEASUREMENTS: We created drinking histories from self-reported responses of age, age of alcohol use initiation and year/month of survey. From two self-reported responses, we created a four-category ordinal variable of heavy episodic drinking: none, one to two, three to nine and more than 10 HED episodes in the past 30 days. We constructed a monthly measure of real alcohol prices using the all-items and alcohol component of the Consumer Price Index compiled by Chile's statistical agency, the Instituto Nacional de Estadísticas. FINDINGS: First, we found negative, statistically significant and policy-meaningful associations between alcohol prices and the age of alcohol use initiation. The estimated price elasticity of delay was -0.99 [95% confidence interval (CI) = -1.30, -0.69]. A 10% increase in real alcohol prices was associated with delayed alcohol use initiation of approximately 6.6 months. Secondly, we found that youth who had started drinking alcohol at a later age had statistically significant and substantially lower probabilities of having reported HED during the previous month. For example, youth who started drinking at 16 were 4.9 (95% CI = 4.2-5.6) percentage points more likely to have reported no HED in the previous month relative to youth who started drinking alcohol when aged 12 years or younger. CONCLUSIONS: Increasing the price of alcohol products may delay alcohol initiation among young people in Chile. Chilean youth who start drinking alcohol later may engage in less harmful drinking practices.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".