Motivations for Current E-Cigarette Use Among Adult Smokers in Malaysia
Notice bibliographique
Résumé
Background: Recommendations from WHO regarding the comprehensive ban on tobacco advertisements, promotions and scholarships (TAPS) have recently caused tobacco companies in shifting their market strategies to focus on promoting unregulated devices such as electronic cigarettes (ECs) and vapes. Aim: This study aims to explore the motivations of EC use among dual users and its associations with sociodemographic factors and smoking related characteristics under different regulatory environments in Malaysia. Methods: A total of 5823 dual users was collected using a multistage sampling study design. Data collection was conducted through intercept face-to-face interviews within 3 waves; wave 1 (May-September 2016), wave 2 (December 2016 - April 2017) and wave 3 (May-August 2017). The samples were drawn from 5 streets randomly (two in hotspot and three in nonhotspot locations) within stratified urban and rural areas in 14 states of Malaysia. Every fifth person passing an interview station in each street was approached. All statistical tests were conducted using PASW 18. Results: The top four self-reported motivations of using EC by dual users included “tasted better than conventional cigarettes” (85.1%), “to reduce the number of cigarettes smoked” (72.9%), “to quit smoking” (63.5%) and “increase price of cigarette taxes” (62.9%). Based on a multivariate analysis, respondents from states that have no current restrictions toward the sale and usage of ECs and who use ECs less than weekly (Adj.OR=2.54; 95% CI=1.93-3.34), weekly (Adj.OR=2.22; 95% CI=1.72-2.85) and daily users (Adj.OR= 1.77; 95% CI=1.36-2.31) were more likely to use ECs due to its better taste as compared with those who use ECs less than once a month. In states that have banned the sales and usage of ECs, there was a significant association between daily users of ECs and the four primary motivations. It was found that an increasing amount of cigarettes smoked per day (Adj.OR=2.46; 95% CI=1.59-3.81) had significantly influenced smokers in these states to more likely use ECs due to the increase price of cigarette tax. Conclusion: This study was conducted to show associations between smoking characteristics, EC use and self-reported motivations under different regulatory environments in Malaysia. Frequency of EC use was significantly associated with these self-reported motivations. Further research should be conducted to monitor EC use by Malaysians as well as to contribute to the formulation of EC policy in Malaysia.
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 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| 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 ».