Exploring Ways to Reduce Heavy Drinking by Increasing Hope Among Midlife Women in Australia: Protocol for a Mixed Methods Study
Notice bibliographique
Résumé
BACKGROUND: Alcohol consumption remains a major societal problem, contributing to myriad health conditions. Australian midlife women (aged 45-64 years) consume more alcohol than previous generations of midlife women and more than younger women now. Alcohol poses health risks that are unique to midlife women, including increased risk of breast cancer; 10% of breast cancers result from alcohol consumption and there is no "safe" limit. There is a global gap in knowledge about socially and culturally appropriate interventions for reducing alcohol consumption in these heavy-drinking groups of midlife women. OBJECTIVE: The research questions (RQs) driving the study are as follows: RQ1-what are the shared social practices that constitute and connect alcohol consumption in each of the 4 case study groups of midlife women? RQ2-what are the perceptions of women in the case study groups about the "invisible hands" shaping alcohol consumption in their social worlds? RQ3-what are the possible "systems-level" interventions or strategies to counter or oppose the "invisible hands" impacting women's alcohol consumption? and RQ4-what is the validity, fidelity, and effectiveness of codeveloped critical consciousness interventions on alcohol-related social practices and consumption patterns? METHODS: Our study will identify and implement ways to support the following groups of heavy-drinking midlife women to reduce their alcohol consumption (and their breast cancer risk): (1) women living in regional areas of Australia; (2) lesbian, gay, bisexual, transgender, queer, and other sexual orientation and gender identity women; (3) women living in poverty; and (4) women working in the corporate sector. An expert group of midlife women, termed a women's thought collective (WTC), will guide all stages of the study. Stage 1 (0-18 months) will collect qualitative data using social media analysis, netnography, photo elicitation, and ethnography to understand the forces oppressing women and shaping their alcohol consumption. We will recruit 50 participants in each of the case study groups. Stage 2 (19-24 months) will involve deliberative dialogue methods with the case study groups (15 participants per group) to identify policy-level changes required to support the reduction in participants' drinking. Stage 3 (25-36 months) will codevelop alcohol reduction interventions using critical consciousness development and then implement them using a quasi-experimental design. Primary outcomes are readiness to reduce alcohol and actual changes in consumption levels. RESULTS: This protocol was funded by the Australian Research Council (DP250104494) for 3 years, starting in July 2025. Human research ethics committee approval has been granted (0457). CONCLUSIONS: Expected outcomes include community actions and policy levers for alcohol reduction, addressing the intersecting sociocultural, political, and commercial factors shaping alcohol use among midlife women. The findings will help inform strategies to counter oppressive forces or transform them into sources of hope, encouraging new practices that challenge social norms. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/72628.
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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 | 0,049 | 0,047 |
| Méta-épidémiologie (sens strict) | 0,003 | 0,004 |
| Méta-épidémiologie (sens large) | 0,005 | 0,006 |
| Bibliométrie | 0,003 | 0,003 |
| Études des sciences et des technologies | 0,007 | 0,003 |
| Communication savante | 0,005 | 0,003 |
| Science ouverte | 0,004 | 0,004 |
| Intégrité de la recherche | 0,006 | 0,009 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,061 | 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 ».