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Enregistrement W1557397801 · doi:10.1111/j.1360-0443.2008.02403.x

[Commentary] ALCOHOL AND SPONSORSHIP IN SPORT: SOME MUCH‐NEEDED EVIDENCE IN AN IDEOLOGICAL DISCUSSION

2008· letter· en· W1557397801 sur OpenAlexaff
Jürgen Rehm, Fotis Kanteres

Notice bibliographique

RevueAddiction · 2008
Typeletter
Langueen
DomaineMedicine
ThématiqueSubstance Abuse Treatment and Outcomes
Établissements canadiensCentre for Addiction and Mental HealthPublic Health OntarioUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésIdeologyPsychologySuicide preventionHuman factors and ergonomicsInjury preventionPoison controlMedicineSocial psychologyEnvironmental healthPolitical sciencePoliticsLaw

Résumé

récupéré en direct d'OpenAlex

First, we would like to congratulate O'Brien & Kypri 1 for their empirical analysis and findings of the association between alcohol industry sponsorship in sport, level and patterns of alcohol consumption of athletes and alcohol-related harm. Considering that the banning of advertisement and sponsorship from the alcohol industry is one of the most symbolic bones of contention between the public health community and the alcohol industry, it is surprising what little is known about the actual effects of alcohol and other sponsorship in sport. The paper by O'Brien & Kypri 1 is an initial step, but it is important that the more ideological points in this debate make place for more evidence-based argumentation. When Babor et al.2 conducted their overview on the effectiveness of alcohol policies they left a question-mark on the impact of alcohol control measures for advertisement and sponsorship, in part because the effects were not well known. Since then there have been a number of studies, summarized by Peter Anderson and colleagues (see the ELSA report: 3, which have clearly shown the impact of alcohol advertisement on use by adolescents. However, the impact of sponsorship by the alcohol industry on the people participating and attending sponsored events has not been studied widely, which leaves a major knowledge gap in instituting policy recommendations. As a result, such recommendations have often been based on the reasoning and the evidence of tobacco control measures 4. O'Brien & Kypri 1 have two important implications which we would like to consider further. First, they demonstrate that sponsorship and advertising seem to have similar results, in that consumption is increased. Secondly, by placing their research in a sports context, the authors highlight the role and importance of this part of our culture. The first point is a major blow to the arguments of those who claim that sponsorship is not a marketing method similar to advertisement; that it is not implemented based on the same principles and does not aim at similar gains or effects, i.e. brand loyalty and consumption increases. If the form and effects of sponsorship are similar to the more traditional ones of advertisement, the question arises as to why is alcohol industry sponsorship treated and regulated differently from advertising in so many countries? Sports sponsorship was, to a large degree, launched by tobacco and alcohol executives in order to overcome growing marketing constraints placed upon them with respect to traditional advertisements 5. This would certainly include policy reforms implemented to limit the public health problems to which their products contributed. Sport is universal. It is has existed throughout civilization and is prominent throughout our lives, whether in our youth as a rite of passage, a regular pastime or an obsession. Similar things can be said of alcohol. Along with countless ‘universals’, both are also multi-billion-dollar industries. However, a major difference between the two is that the alcohol industry has something of an ‘image’ problem; namely, the fact that its product contributes to multiple diseases, and overall to a significant portion of the global burden of disease 6 as well as to social problems. On the contrary, sport still has a more positive image, although doping has surely damaged part of it. Thus, associating with sports is enticing for the alcohol industry, trying to achieve credibility and cultural capital. At this stage, we do not know whether these mechanisms are actually working as postulated. However, thanks to O'Brien & Kypri 1, we know that there is an association between sponsorship and problem drinking. The next steps are to explore the causality of such relations, as well as the pathways that lead from sponsorship to drinking behaviour. Such exploration is not only necessary for assessing the effects of sponsorship in sports, but for all new forms of advertising such as internet marketing techniques or ‘street-level’ guerilla marketing. Any potential policy recommendations should be based on empirical evidence on pathways and effects. Empirical evidence should be based on postulated theoretical relationships and pathways. In that sense, evidence can be transferred from tobacco control to alcohol for the same causal pathways. If the same pathways are involved, there will be no good argument as to why the effects of sport sponsorship by the alcohol industry should be different from those of the tobacco industry. However, each different pathway has to be established and analysed empirically. Hopefully, the next years will bring more such careful analyses in relevant areas. The first author has participated in scientific meetings organized or sponsored by the alcohol industry and received financial support for this participation.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,145
Score d'incertitude au seuil0,885

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,001
Science ouverte0,0000,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,069
Tête enseignante GPT0,315
Écart entre enseignants0,245 · 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 tête enseignante, pas un consensus.

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

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

En bref

Citations15
Publié2008
Routes d'admission1
Résumé présentoui

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