Point-of-Sale Tobacco Advertising and Display Bans: Policy Evaluation Study in Five Russian Cities
Notice bibliographique
Résumé
BACKGROUND: The tobacco industry uses point-of-sale (POS) advertising, promotion, and product display to increase consumption of its products among current users, to attract new consumers, and to encourage former customers to resume tobacco use. As part of a comprehensive tobacco control effort, Russia-having one of the highest tobacco use prevalence rates in the world-enacted legislation that banned tobacco POS advertising, effective November 15, 2013, and banned the display of tobacco and the sale of cigarettes in kiosks, effective June 1, 2014. OBJECTIVE: The objective of the study was to evaluate the implementation of the national law by assessing the state of POS advertising, promotion, and product display, and sales in kiosks across Russia. METHODS: Two waves of observations were conducted to measure compliance with the POS restrictions: wave 1 took place in April-May 2014 after the advertising ban was in effect and again in August-September 2014 after the display ban and elimination of tobacco sales in kiosks came into effect. Observations were conducted by local trained staff that traveled to 5 populous cities in different regions of Russia (Moscow, St. Petersburg, Kazan, Ekaterinburg, and Novosibirsk). Staff followed a published POS evaluation protocol and used mobile phones to collect data. Observations were conducted in a roughly equal number of supermarket chains, convenience stores, and kiosks. Observed items included advertising at POS, product displays, and cigarette sales in kiosks. RESULTS: Observations were made in 780 venues in wave 1 and in 779 revisited venues in wave 2. In wave 1, approximately a third of supermarkets and convenience stores (34.2%, 184/538) were advertising cigarettes using light boxes, and over half of observed venues (54.3%, 292/538) had signage such as banners or shelf liners that used colors or images related to cigarette brands. Product displays were common in wave 1. In wave 2, compliance with advertising restrictions was very good: there were virtually no light boxes (1.0%, 5/489); banners or shelf liners were observed in 30.5% (149/489) of supermarkets/convenience stores; approximately 7.4% (36/489) of venues were still displaying products in a powerwall. In wave 2, 41.3% (100/242) of kiosks continued to sell tobacco. CONCLUSIONS: Russia's compliance with POS bans was excellent. Remaining compliance issues are largely with the use of cigarette brand colors or images used in banners or shelf liners; this type of infraction is more difficult to enforce as inspectors need to be deeply familiar with tobacco industry products and marketing practices. A sizable proportion of kiosks continue to sell tobacco post restrictions.
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 | 0,022 | 0,015 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,003 | 0,002 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».