Exposure to and perceptions of health warning labels on nicotine vaping products: findings from the 2016 International Tobacco Control Four Country Smoking and Vaping Survey
Notice bibliographique
Résumé
BACKGROUND AND AIMS: The presence and content of health warning labels (HWLs) on nicotine vaping products (NVPs), such as electronic cigarettes, varies by country and manufacturer. We compared proportions of people who report (i) noticing HWLs on NVPs and (ii) feeling concerned having noticed HWLs, by country and by smoking or vaping status. We also examined recall of HWL content and whether this varies by country. DESIGN: Cross-sectional survey. SETTING: Australia (AU), Canada (CA), England (EN) and the United States (US). At the time of data collection, HWLs on NVPs were only mandatory in EN. PARTICIPANTS: A total of 11 561 respondents from the following samples in the 2016 International Tobacco Control Four Country Project: (1) re-contacted smokers and quitters who had participated in the previous wave of the project; (2) newly recruited current smokers and recent quitters; and (3) newly recruited current vapers from CA, EN and US. MEASUREMENTS: Outcomes included: (1) having noticed HWLs on NVPs, (2) feeling concerned having noticed HWLs, and (3) recall of HWL message content. FINDINGS: Compared with respondents in EN, respondents in CA were more likely to report having noticed HWLs [odds ratio (OR) = 1.58, P = 0.02], whereas respondents in AU (OR = 0.76, P = 1.00) and the US (OR = 1.54, P = 0.09) were not significantly more or less likely to report having noticed HWLs. Compared with concurrent smokers and vapers, daily smokers, non-daily smokers and quitters were less likely to report having noticed HWLs (ORs = 0.21, 0.33 and 0.19, respectively, all P < 0.001). There were no significant differences in reports of noticing HWLs when comparing concurrent smokers and vapers with daily (OR = 1.62, P = 0.91) or non-daily (OR = 1.15, P = 1.00) vapers. There were no significant differences by country in reporting that HWLs made them concerned about using NVPs. Daily vapers were less likely to report feeling concerned than concurrent users (OR = 0.11, P = 0.017). Among those who reported reading HWLs (n = 688), there was little evidence of differences in recall of the HWL content. CONCLUSIONS: Respondents in England, where health warning labels on nicotine vaping products are mandatory, were not significantly more likely to report having noticed such warnings than those in Australia, Canada and the United States where warnings are not mandatory.
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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 | 0,000 |
| 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 ».