"PERSONALITY AND CUED ASSOCIATIONS INFLUENCE ALCOHOL AND CANNABIS USE IN ADOLESCENTS (AGED 13 – 17)"
Bibliographic record
Abstract
Early transitions to alcohol and cannabis use are associated with a variety of negative consequences including reduced physical and mental health, substance use disorders, educational and social problems.Youth aged 13 to 17 is a vulnerable time for initiation, escalation, and problems associated with use.This research focuses on specific personality traits: Sensation-seeking (SS), Impulsivity (IMP), Anxiety sensitivity (AS), and Negative thinking (NT) and cued associations known to have a direct relationship with adolescent substance use.We report here the predictive value of personality and its interaction with substance use associations including longitudinal transitions to initiation of use, increased frequency and quantity of use, and abuse.Method: Canadian youth (N=1552) from grades eight to ten were surveyed in Spring 2018, Winter 2018, and Spring 2019.All students received questions about alcohol and cannabis use including past year use, quantity and frequency of use, and abuse (AUDIT and CUDIT).Personality in Grade 8 students was assessed in Spring 2019 using the Substance Use Risk Profile Scale (SURPS), which reliably measures SS, IMP, AS, and NT traits.Cognitive associations with alcohol and cannabis use were measured in each survey.Two types of associations were assessed: behavioral associates and outcome expectancies.In the behavioral associate tasks, students responded with the first behavior that came to mind when presented a specific emotional or situational cue.The number of alcohol-related (e.g.get drunk) or cannabis-related (e.g.smoke pot) comprised the behavioral associates score.Alcohol and cannabis use cues each generated four open-ended outcomes that were subsequently self-rated for amount of liking (Likert scale) and category (e.g.social, emotional).Results: Personality had strong effects on both concurrent alcohol and cannabis use and problems.Both cognitive measures also strongly predict concurrent alcohol and cannabis use and problems.Personality also predicted the level of liking and category of expectancy outcomes as well as the number of behavioral associates.Longitudinal mediation analysis across the three waves revealed the prospective predictive power of both personality and cognition measures on initiation of use and problems.In addition, a latent construct with the cognitive associations as indicators mediated the effects of personality on both use and problems.Conclusion: Specific personality trait and cognitive associations are useful as both early indicators and as targets for prevention of transitions to alcohol and cannabis use in early adolescence.The specific findings should inform cognitive behavioral approaches to early prevention efforts.
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 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 | 0.001 |
| 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".