A Multi-Faceted Approach to Communicate the Risks Associated with E-Cigarette Use to Youth
Notice bibliographique
Résumé
The use of electronic cigarettes among young people has been increasing in recent years. Electronic cigarettes are marketed in ways that attract young people and downplay the risks of these products. For example, electronic cigarettes are available in a variety of flavours, such as mint or chocolate, and it can be quite challenging for young people to understand the potential harms of these products when they are marketed through enticing advertisements under the veil of harmless flavours. Moreover, recent research has shown that electronic cigarette usage may be disproportionately higher for youth with lower socioeconomic status. It is well documented in the literature that electronic cigarettes can have a multitude of negative health impacts on young people. Electronic cigarette use affects all biopsychosocial domains, including but not limited to cardiovascular disease, pulmonary disease, renal disease, mental health, substance use, and interpersonal relationships. Given the increase in electronic cigarette use and lower levels of understanding of the harms these products can have on health, it is essential to develop additional strategies to ensure that young people are made aware of the risks associated with the use of electronic cigarettes. We propose a five factor model that aims to provide support to policymakers, educators, health care professionals, families, and youth. For policymakers, it is necessary to develop policies that limit the access the youth have to electronic cigarettes. In educational settings, educators can incorporate education on electronic cigarettes in the classroom. Health care professionals should have access to tools to ensure they feel comfortable discussing the risks of electronic cigarettes with their young patients. Additionally, families should have access to evidence-based information on the risks associated with electronic cigarettes and on how to communicate with their children about electronic cigarettes. Finally, we should aim to directly reach youth and communicate the potential risks of electronic cigarette use through the social media platforms that they frequent. Ultimately, this paper provides a model that can be used by various stakeholders involved in the public health system. Moving forward, implementing and conducting short, intermediate and long-term evaluation of this model can provide insight into its effectiveness in communicating the risks associated with electronic cigarette use for young people.
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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 | 0,001 | 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 ».