194: Turning from Child to Teen: Early Initiation and Emergence of Active Use of Tobacco and Alcohol
Bibliographic record
Abstract
Previous studies have well documented the uptake of tobacco and alcohol in adolescence and young adulthood. However, little is known on their early initiation and use even if these are associated to several adverse outcomes. To document early initiation and use of tobacco and alcohol, and to characterize the transition from initiation to use of these substances throughout the passage from childhood to the teenage years. As part of the ongoing Québec Longitudinal Study of Child Development (QLSCD), self-reported data on substance initiation during the past year (yes/no) were collected from a national representative sample (n=1,558) of young Quebecers (48.6% males) at 10, 12 and 13 years of age (between 2008 and 2011) while data on active use of tobacco and alcohol during the last 30 days (yes/no), and binge drinking in the past year (yes/no) were collected at ages 12 and 13. The between-year movement of consumption status was described using Markov modeling with survey-specific sample weight. Throughout the ages, an increase in substance initiation and use were obtained. Weighted frequencies were of 1.4%, 6.5% and 16.6% for tobacco, and of 1.1%, 9.8% and 25.7% for alcohol initiation at ages 10, 12 and 13 respectively. At ages 12 and 13, 1.0% and 4.5% reported to be smokers, while 0.9% and 4.2% were alcohol users, and 2.9% and 10.2% experienced binge drinking. None of 10-year initiated youths were users at age 12, but 24.0% and 15.7% of 12-year initiated youths respectively became tobacco and alcohol users at age 13. In addition, 43.6% and 59.5% of users of tobacco and alcohol at age 12 were still users one year later and 52.5% of youths reproduced binge drinking from ages 12 to 13. A number of participants from our cohort reported to be initiated to tobacco or alcohol as early as at the end of their childhood even though few already became users or showed risky behaviors such as binge drinking. Taking into consideration that for several kids early initiation rapidly develops into sustained use, and because approximately half of them maintain their habits later on, the turning from child to teen represents a strategic window to start tackling tobacco and alcohol use among youths; much younger that one would expect.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".