Identifying early intervention opportunities for illicit stimulant use: A cross-sectional study of factors associated with illicit stimulant use among young people accessing integrated youth services in British Columbia, Canada
Notice bibliographique
Résumé
INTRODUCTION: Illicit stimulant (cocaine and/or amphetamine) use among young people aged 12-24 is a public health priority given that substance use initiation tends to peak in this developmental period and significant associated immediate and long-term harms are associated with its use. Young people using stimulants must be engaged in services as early as possible to reduce these harms. To inform early intervention opportunities, this study aimed to identify the risk/protective factors associated with illicit stimulant use among young people. METHODS: We conducted a cross-sectional study on routinely collected self-reported data among young people accessing integrated youth services in British Columbia (Canada) between April 2018 and January 2022. Data were collected on young peoples' socio-demographic characteristics, and social, behavioral, and health profiles. Variable selection was guided by established risk/protective factors for substance use among young people. The study used multivariable logistic regression to identify risk/protective factors that were independently associated with past 30-day illicit stimulant use. RESULTS: The analytic sample included n = 5620 young people aged 12-24 and a total of 163 (2.9 %) reported past 30-day illicit cocaine and/or amphetamine use. Demographic characteristics that were independently associated with illicit stimulant use included older age (aOR = 1.27, 95 % CI = 1.17-1.38) and gender identity as man vs woman (aOR = 1.71, 95 % CI = 1.10-2.70). Social and environmental risk factors included recently witnessing or experiencing violence (aOR = 2.32, 95 % CI = 1.47-3.68) and higher past-year crime/violent behaviors score (aOR = 1.39, 95 % CI = 1.13-1.69). Finally, regular alcohol (aOR = 6.90, 95 % CI = 2.36-25.42), regular (aOR = 3.74, 95 % CI = 1.95-7.54) or social (aOR = 3.06, 95 % CI = 1.44-6.60) tobacco use, and lifetime hallucinogen (aOR = 3.24, 95 % CI = 1.8-5.91) and ecstasy/MDMA (aOR = 2.53, 95 % CI = 1.48-4.39) use were also statistically significant risk factors. CONCLUSIONS: These risk/protective factors support identification of young people who may benefit from further screening, assessment, and treatment for illicit stimulant use. This study also underscores the need to expand early intervention and harm reduction programs that can comprehensively respond to young peoples' stimulant use, health, and social needs.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
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 | 0,001 | 0,002 |
| 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 ».