The mediating role of alcohol‐related memory associations on the relation between perceived parental drinking and the onset of adolescents' alcohol use
Bibliographic record
Abstract
AIMS: The aim of the current study was to examine the mediating role of alcohol-related memory associations in the relation between perceived parental drinking and the onset of adolescents' alcohol use. Gender and grade were also included in the analyses. DESIGN: We tested a mediation model within a structural path modelling framework using longitudinal data (two waves). SETTING AND PARTICIPANTS: The sample consisted of 608 Canadian adolescents (42.9% boys), who did not have any alcohol experiences at the first measurement. The adolescents were recruited from all grades 7-9 classes in a large school district in western Canada. MEASUREMENTS: Alcohol-related memory associations were tested with the Word Association Test. We used adolescent self-reports of alcohol use and parental drinking. FINDINGS: Results clearly showed a mediation effect of alcohol-related memory associations [estimate = 0.023, 95% confidence interval (CI): 0.002-0.044). That is, parental drinking as perceived by the adolescent was related positively to alcohol-related memory associations, which in turn predicted adolescents' alcohol use a year later. Gender and grade were related to alcohol-related memory associations. That is, boys and adolescents of higher grades had more memory associations. CONCLUSIONS: Children appear to form memory associations related to alcohol before they ever drink alcohol themselves, and these associations appear to mediate the link between their perceptions of their parents' drinking and their own initial alcohol use.
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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 | 0.002 | 0.007 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".