"PERSONALITY AND CUED ASSOCIATIONS INFLUENCE ALCOHOL AND CANNABIS USE IN ADOLESCENTS (AGED 13 – 17)"
Notice bibliographique
Résumé
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.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».