The impact of the COVID-19 pandemic on smoking in adolescents: a scoping review
Notice bibliographique
Résumé
BACKGROUND: The COVID-19 pandemic and associated policies have influenced adolescent smoking behaviours, with potential impacts on smoking initiation, cessation, and addiction. This scoping review aims to summarise existing evidence on how the pandemic affected adolescent smoking behaviour across various contexts. METHODS: A systematic search was conducted in September 2023 across three databases-Embase, APA PsycInfo, and Medline-using terms related to adolescents, COVID-19 exposure, and smoking behaviours. Studies were included if they focused on adolescents aged 12-21, examined smoking-related outcomes during or after the pandemic, and were published from 2019 onwards. Study quality was not assessed in this research. The search identified 18 studies, which were independently screened by two reviewers, with conflicts resolved by a third reviewer. Thematic analysis was used to categorise the studies. RESULTS: Of the 18 studies, most were retrospective and focused on high-income countries, including the United States, Israel, and the Netherlands. Trends in smoking behaviour varied, with some studies reporting increased smoking during the pandemic, particularly in regions like the United States and Netherlands; others observed reductions in smoking, such as in France and Spain; and others observed mixed results, such as South Korea. The impact of mental health was significant, with increased anxiety and depression linked to higher smoking rates, especially in the United States and Israel. Several known risk factors, such as peer influence, parental smoking habits, and family dynamics, also played a role. Reduced peer interactions and time spent with family were associated with reductions in smoking behaviour. In contrast, adverse family dynamics or the presence of smoking family members contributed to higher smoking rates. Further, the impact of COVID-19 on these factors varied: peer influence decreased due to social distancing measures, while mental health issues such as increased anxiety and depression were associated with higher smoking rates. CONCLUSION: This review highlights the complex and heterogeneous impacts of COVID-19 on adolescent smoking behaviours. Mental health, social interactions, and family dynamics were key factors influencing smoking patterns. These findings can inform the development of targeted smoking cessation and prevention strategies for adolescents, particularly in the context of future public health crises.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,012 | 0,054 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,004 | 0,006 |
| Bibliométrie | 0,011 | 0,012 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,005 | 0,003 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,004 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 source (Gemma direct ou Codex distillé), 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 ».