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Enregistrement W160562507

Social Marketing for Reduction in Alcohol Use

2007· article· en· W160562507 sur OpenAlexaboutno aff
Manoj Sharma, Amar Kanekar

Notice bibliographique

RevueJournal of alcohol and drug education · 2007
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueImpact of Technology on Adolescents
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésSocial marketingPersuasionMarketingPopulationPsychologyBinge drinkingProduct (mathematics)Marketing researchPublic relationsMarketing mixBusinessMedicineSocial psychologyEnvironmental healthPolitical sciencePoison controlSuicide prevention
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Social marketing is the use of commercial marketing techniques to help in acquisition of a behavior that is beneficial for health of a target population (Weinreich, 1999). In other words, it is a program planning process that promotes the voluntary behavior of target audiences by offering the benefits they want, reducing the barriers they are concerned about and using persuasion to motivate their participation in program activity (Kotler, & Roberto, 1989). The difference between social marketing and commercial marketing lies in the fact that social marketing promotes products, ideas or services for a voluntary behavior change among target members whereas in commercial marketing, a product or a service is traded for economic gains and the marketeer is not concerned about any healthy behavior change in the target audience. The 'marketing philosophy' states that people tend to adopt new behavior or ideas if they feel that something of value is exchanged between them and the social marketeer (Solomon, 1989). In the field of health, some important applications of social marketing have been for family planning, recruiting blood donors, infant mortality reduction by oral rehydration, and smoking prevention in adolescents (Andreasen, & Kotler, 2003). Social Marketing has been used in reducing alcohol use. Social marketing was used in the University of Wisconsin's binge drinking prevention program (Brower, Ceglarek, & Crowley, 2001). The primary target population for this program was defined as those students who did not binge in high school but began to do so as college freshmen. Research showed that 'binge drinking' was a brand regularly purchased by majority of the students to fulfill needs such as belongingness in new environment, to assert independence from their previous life at home, to blow of steam at the end of the study week and to be comfortable in social settings. Alternative products to compete with this 'binge drinking' behavior were put in the market such as alcohol--free dance clubs, movies, and recreational sports. Print ad campaigns for promoting students to join various student organizations on the campus were also an integral part of this social marketing campaign (Brower, Ceglarek, & Crowley, 2001). Another study done, again for 'binge drinking' in Arizona, where the intervention used was a campus wide media campaign based on normative social influence model and focusing on normative messages regarding binge drinking showed a 29.2% decrease in 'binge drinking' rates over a three-year period (Glider, Midyett, Mills-Novoa, Johannessen, & Collins, 2001). These two studies paint a useful picture of social marketing usage in changing the campus culture and norms and making the desired healthy behavior change among college students. But the important question to be asked here is whether and how much these 'norm' changing campaigns do work in reality. Two studies which tried to evaluate the use of social marketing campaign, one at University of Mississippi (Gomberg, Schneider, & Dejong, 2001) and one at the Cornell University (Campo et al., 2003) suggested that a mixed response emerges to this argument. Some of the important issues emerging out are measurement issues as most studies rely on ordinal measures that limit data analyses. There are also fewer studies which use control groups. If we look at the problem of binge drinking in a different but adjacent country to the United States such as Canada, it is seen that the problem is present on a huge scale across the campuses there too. A process evaluation study which used focus groups as their elements of participant feedback came to a conclusion that high-school students and post-secondary students should be the target members to educate about risks associated with binge-drinking and the preferred media channels would be television, posters in bars, universities and colleges and internet banners on websites frequented by students (Jack, Sangster, Beynon, Ciliska & Lewis, 2005). …

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)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,052
Score d'incertitude au seuil0,175

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,000
Communication savante0,0010,001
Science ouverte0,0000,001
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0520,007

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 Opus0,039
Tête enseignante GPT0,385
Écart entre enseignants0,346 · 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'étudeSans objet
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

Citations0
Publié2007
Routes d'admission1
Résumé présentoui

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