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Enregistrement W2586785720 · doi:10.1093/pubmed/fdx010

Alcohol health-warning labels: promises and challenges

2017· article· en· W2586785720 sur OpenAlexaff
Mohammed Al‐Hamdani, Steven M. Smith

Notice bibliographique

RevueJournal of Public Health · 2017
Typearticle
Langueen
DomaineMedicine
ThématiqueSubstance Abuse Treatment and Outcomes
Établissements canadiensSaint Mary's University
Organismes subventionnairesnon disponible
Mots-clésPublic healthEnvironmental healthMedicineMedical emergencyBusinessInternet privacyComputer scienceNursing

Résumé

récupéré en direct d'OpenAlex

Should we have graphic and prominent health warnings on alcohol bottles? Yes, for two reasons. First, as cigarette health warnings have increased in size and the graphic nature of their imagery, we have seen increased negative perceptions of smoking,1,2 reduced cigarette appeal,3 increased quit attempts 4 and significant reductions in smoking.5 Second, text warning statements on the harms of alcohol are believable and personally relevant to alcohol consumers.6–8 Additionally, similar to warnings on cigarette packages, graphic alcohol warnings used in recent studies increased fear arousal, intention to reduce alcohol consumption, warning recognition and perceptions of alcohol risks as well as decreased product appeal.9–11 Warnings on cigarette packs have been extensively studied. Their use in practice has evolved from text format messages that occupy increasingly higher surface areas on the pack,12 through graphic warnings that include a pictorial depiction of a diseased organ or an individual suffering from smoking-related diseases,13 to adding contact information on help lines.14 Despite the strong impact of graphic warnings, they still lacked one element: the ability to dissolve branding elements on cigarette packs. Plain packaging standardizes the colours, font, background and shape of cigarette packs, thereby maximizing the prospects of increased attention to warnings and reducing its ability to serve as a marketing tool. Plain packaging results in decreased brand awareness,15 improved warning recognition 13 and increased quitting.16,17 Australia was an early adopter of plain packaging, and the evidence surrounding the positive public health outcomes, coupled with its robustness to tobacco industry legal challenges, served as a catalyst for other governments—such as the UK and France—to adopt similar policies.18 We have learned lessons from the tobacco packaging literature: using specific, direct and large graphic warnings, especially on plain packs, reduces positive consumer and product perceptions.19 We have applied these lessons to two alcohol-label health-warning studies and found results similar to the tobacco control literature.9,10 Continuing to research tobacco-like warnings on alcohol products can shed light on how to help manage, for what some jurisdictions, is a serious public health problem. There is a convincing case for further research on alcohol-label health warnings. Yet because the social acceptability of alcohol use remains high, the public does not warmly welcome the idea of alcohol health warnings. After publishing our studies,9,10,19 we have had substantial national and international coverage on radio, TV and online press. Public opinion on the matter was divided: On the one hand, we were labelled as ‘nannyists’ and ‘temperance movement advocates’ and on the other hand, our work was thought of as ‘reviving the debate’ and ‘increasing awareness.’ Perhaps it is not surprising that public perception of our work was somewhat negative, as 80% of Canadians consume alcohol regularly, 38% of those 15 or older engaged in risky drinking and 27% engaged in long-term heavy drinking.20 With the ease of using technologies such as Twitter and Facebook, proposing protective health policy measures that can be seen as ‘overreach’ can elicit viral reactions; thus politicians may be hesitant to implement healthy policies. Of course, the alcohol industry is likely to oppose labelling. Product packaging including bottle shapes, seals, colours and descriptor fonts are all marketing differentiation tools that companies use to signal consumers. Millions of dollars are invested in advertising campaigns, and any health-warning label will reduce the appeal of products. Like the tobacco industry,21 the alcohol industry has demonstrated its willingness to oppose the use of health warnings and plain packaging policies. In the face of opposition towards alcohol health warnings, how can public health interests be fulfilled? First, we have to remember that cigarette smoking used to be just as socially acceptable as alcohol use. Increasing the awareness of the public towards harms led to the endorsement of measures that restrict tobacco use.22 Governments followed the public's momentum for regulating tobacco products, including the use of health warnings. Second, the public gravely underestimates the negative consequences of heavy and risky drinking despite the fact that they result in a yearly economic cost of C$14.6 billion in Canada alone.23 Public health advocates need to de-normalize heavy drinking, because it causes liver cirrhosis, cancer and a multitude of other diseases. Further, drinking and driving continues to cost lives, injuries and lost productivity.24 Third, researchers must continue to study alcohol health warnings and encourage others to do the same. If the evidence base for alcohol health warnings rises to the level of that which exists for tobacco warnings, then the case will be made. A journey of a thousand miles starts with a single step—small steps starting with visible, direct and specific text warnings can be effective. As with cigarette pack warnings, multiple warnings should be circulated to prevent habituation to the messages.7,25 Finally, we must accept that given the history of the backlash from the tobacco industry—hiring expert witnesses to testify falsely, paying historians to re-write history, encouraging journalists to write sympathetic articles and funding researchers to undermine the causality between smoking and diseases26–31—the same could and will happen with the alcohol industry. However, researchers and public health campaigners should not be deterred. Our responsibility is to continue to maintain scientific objectivity and test the value of warnings. The primary view should be to improve public health. Public awareness is key; public opinion supporting the public interest can ultimately overcome government inertia. Given the right conditions, governments can be convinced to put public health interests before the financial interests of the alcohol industry. A proactive dialogue involving the public, industry and governments, similar to the front-of-package nutrition labelling proposal initiated by Health Canada could be an effective forum for finding the right balance between government, public and industry interests.32 None declared.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,113
score de la tête « metaresearch » (Gemma)0,125
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: Théorique ou conceptuel
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,113
Score d'incertitude au seuil0,598

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,1130,125
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0030,002
Bibliométrie0,0030,002
Études des sciences et des technologies0,0050,024
Communication savante0,0180,034
Science ouverte0,0060,006
Intégrité de la recherche0,0280,036
Charge utile insuffisante (le modèle a refusé de juger)0,0200,004

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.

Tête enseignante Opus0,347
Tête enseignante GPT0,418
Écart entre enseignants0,071 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeThéorique ou conceptuel
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations20
Publié2017
Routes d'admission1
Résumé présentnon

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