Reducing Heavy Drinking Through the “Sober Curious” Movement in Australia: Protocol for a Mixed Methods Study
Notice bibliographique
Résumé
BACKGROUND: Alcohol consumption is a major public health problem. Its socially engrained nature adds complexity to designing successful reduction approaches. Rather than implementing another intervention, we will undertake a natural experiment on the "sober curious" movement, which gained momentum through social media influencers promoting the idea of reducing alcohol consumption for wellness. We focus on ways to reduce alcohol consumption, through sober curiosity, with 4 heavy-drinking population groups: male construction workers; lesbian, gay, or bisexual women; hospitality workers; and tertiary education students. OBJECTIVE: Aim 1 analyzes the sober curious movement from the "supply side" using qualitative interviews with sober curious stakeholders and a citizen science study of social media content with the 4 case study groups. We will also undertake citizen science and social media studies with a representative sample of the population. Aim 2 examines the sober curious movement from the "demand side" using qualitative interviews with the 4 case study groups to investigate their knowledge and attitudes toward sober curiosity. We will also undertake a representative national survey and ethnography with a representative sample of the population. For aim 3, we will develop evidence-based interventions leveraging sober curiosity and using citizens' juries, industry symposia, and policy symposia to develop feasible public health measures and options tailored to the needs of the 4 case study groups. METHODS: The project involves 3 stages. Stage 1 will examine the supply side of alcohol-free products. A social media analysis of marketing by alcohol-free producers and distributors will generate an understanding of their techniques and population groups they target. In-depth interviews with producers will create evidence on the intentions behind making alcohol-free products available, their target market, and if and how they balance providing nonalcoholic products alongside alcohol. Stage 2 will be a qualitative study with 4 case study groups with high alcohol consumption: male construction workers; lesbian, gay, or bisexual women; hospitality workers; and tertiary education students. This stage will provide a deep understanding of the reasons for alcohol consumption, potential for alcohol-free product use, and possible interventions to sustainably reduce consumption. Stage 3 will involve deliberative symposia with non-alcoholic beverage producers and distributors, representatives from our case study groups, public health professionals, and policy makers to develop co-designed interventions for alcohol reduction. RESULTS: This 3-year research protocol was funded by the Australian National Health and Medical Research Council via their Ideas Grants funding scheme (grant ID GNT2038211). The study will commence in July 2025. Human Research Ethics Committee approval has been granted. CONCLUSIONS: Our study will provide a template for interventions designed to enable reduced drinking within heavy-drinking social worlds with huge potential for scalability of knowledge, expanding the economic, environmental, social, and cultural benefits within and across Australia and internationally. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/72631.
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 | 0,075 | 0,058 |
| Méta-épidémiologie (sens strict) | 0,004 | 0,004 |
| Méta-épidémiologie (sens large) | 0,006 | 0,004 |
| Bibliométrie | 0,004 | 0,003 |
| Études des sciences et des technologies | 0,005 | 0,003 |
| Communication savante | 0,004 | 0,003 |
| Science ouverte | 0,004 | 0,004 |
| Intégrité de la recherche | 0,008 | 0,008 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,049 | 0,011 |
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 ».