Tobacco cessation interventions in high-income countries with Chinese, Vietnamese and Arab people who smoke: a scoping review of outcomes and cultural considerations
Notice bibliographique
Résumé
Objectives: There are large and growing communities of Chinese, Vietnamese and Arab populations within many high-income countries, including Australia. These populations experience disproportionately higher rates of tobacco smoking. Cessation strategies are required that acknowledge the cultural factors shaping smoking behaviours. This review aimed to synthesise the evidence for smoking cessation interventions among Chinese, Vietnamese and Arab people, including outcomes and cultural considerations. Design: Scoping review. Data sources: We searched five electronic databases for peer-reviewed literature (CINAHL (Cumulative Index to Nursing and Allied Health Literature), Cochrane Library, PsycINFO, PubMed and Scopus). Relevant grey literature was sourced from research and health organisations, and community cultural organisations. Eligibility criteria: English-language studies of tobacco cessation interventions with Chinese-speaking, Vietnamese-speaking or Arabic-speaking participants conducted in Australia, the USA, Canada, the UK or New Zealand between 2013 and 2025. Data extraction and synthesis: Two reviewers independently screened for eligible studies and, if included, assessed risk of bias using Joanna Briggs Institute critical appraisal tools. Results: We identified 23 studies describing 15 intervention types, with written resources most highly featured. Promising category evidence was found for nine intervention types with Chinese people (written information, education sessions, visual information, counselling, involving others, providing nicotine replacement therapy, intervention branded merchandise, mobile messaging and telephone follow-up), as well as counselling with Arab people, and telephone follow-up with Vietnamese people. A variety of cultural considerations were addressed in the interventions, most commonly language barriers as well as the use of co-design and community participation. Conclusions: Smoking cessation interventions with Chinese people were strongly supported, with less evidence for interventions with Vietnamese and Arabic people. Education-focused interventions were particularly effective, addressing low baseline knowledge underpinning smoking. Language barriers to smoking cessation were addressed through primary language supports. Further research is needed on effective smoking cessation intervention types with Arab and Vietnamese people.
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 | 0,002 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,003 | 0,000 |
| Bibliométrie | 0,001 | 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 ».