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Enregistrement W3165372535 · doi:10.1111/add.15569

Commentary on Meier <i>et al</i>.: Gender disparities in the effects of alcohol pricing policies on consumption and harm reduction

2021· letter· en· W3165372535 sur OpenAlexaboutno aff
Heng Jiang, Anne‐Marie Laslett

Notice bibliographique

RevueAddiction · 2021
Typeletter
Langueen
DomaineMedicine
ThématiqueSubstance Abuse Treatment and Outcomes
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésHarmHarm reductionConsumption (sociology)PopulationPoison controlInjury preventionDomestic violenceMedicineEnvironmental healthAffect (linguistics)PsychologyPsychiatryDemographyPublic healthSocial psychology

Résumé

récupéré en direct d'OpenAlex

While increasing alcohol tax and introducing a minimum unit price will probably have only a moderate impact on women's drinking, the harm that women experience from others’ drinking could be substantially reduced. If this epidemiological model were to be applied to measure the effects of alcohol pricing policies on alcohol's harm to others, different gender-specific effects may be found. Studies have found that women are more likely to experience many harms from others’ drinking than men, including from family and domestic violence, sexual and verbal abuse, financial harm and from care-giving; for instance, when they are required to care for drinkers and drinkers’ dependents [3-6]. Meier and colleagues’ modelling results show that the introduction of MUP and a 10% tax increase in the United Kingdom will lead to greater reduction of consumption among men than women. Subsequently, we posit that this could reduce the alcohol harm to others that women experience from men's drinking, given that the majority of harmful drinkers are men. To the best of our knowledge, no studies have explored the effects of alcohol pricing policies on interpersonal harms from others’ drinking in different gender and other population subgroups, and this is a significant research gap in the field. Meier et al. [1] found that the estimated impact of alcohol pricing policy on women's consumption was moderate and would probably only affect consumption of high-risk drinking women who live in the most deprived areas of the United Kingdom. The modelling showed that women in socio-economically advantaged groups are likely to maintain their alcohol consumption and spend more money on alcohol after the tax or price increase than women in other socio-economic groups. However, men are likely to continue to spend the same amount on alcohol and reduce total consumption if the price goes up, particularly if they are socio-economically disadvantaged. Similar gender-specific effects of alcohol pricing policies might be expected in other high-income countries with similar drinking cultures to the United Kingdom, such as in Australia and Canada [2, 7]. Given that the gaps in heavy drinking prevalence between the sexes are even greater in many low- and middle-income countries (LMICs; for example, in China, India, Thailand and countries in Africa) than in Australia, the United Kingdom and United States [8], even more marked effects on harm to women from others’ drinking might be expected. Therefore, applying taxation or a floor price policy in LMICs could substantially reduce men's consumption and their alcohol-related hospitalizations, and while achieving a very small or almost no impact on women's drinking, the harm women experience from others’ drinking could also be substantially reduced. The gap in alcohol consumption between men and women has narrowed in the last two decades, with binge-drinking and alcohol use disorder increasing more rapidly among middle-aged women [9-11]. UK national statistical data show that the proportions of men and women drinking riskily (men and women who exceeded 8 and 6 units of alcohol on their heaviest drinking day, respectively) were very similar in 2017, although men still drank more [12]. Modelling the gender-specific effects of alcohol pricing policies among different age groups with different levels of drinking might provide evidence that consumption and harm among middle-aged women can be reduced, as it has been for middle-aged men by interventions that increase price: for instance, by separately modelling interventions, changes in consumption and subsequent hospitalization rates among middle-aged women. Including women in all age groups, despite adjusting for age, may mask the direct effects of pricing policies on middle-aged women, if interventions have less impact on younger and older women's drinking and experiences of harm. The modelling work by Meier et al. provides evidence that alcohol taxation and minimum pricing policies can not only reduce gender gaps in alcohol consumption and alcohol-related hospitalizations in the United Kingdom, but that these policies can also reduce social inequalities, as both men and women in the most deprived areas were estimated to reduce their alcohol consumption more than drinkers from less deprived areas. While this study has provided strong evidence using the modelling and predictive data, future studies could use real-time data to evaluate the gender specific impact of MUP among different socio-economic groups on alcohol consumption and alcohol-related harms, for instance, in two UK regions retrospectively, following the introduction of MUP in Scotland (1 May 2018) and Wales (2 March 2020) and test the validity of the current modelling study. None.

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: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Commentaire · Signal consensuel: aucune
Score de désaccord entre enseignants0,611
Score d'incertitude au seuil0,680

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
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 Opus0,037
Tête enseignante GPT0,299
Écart entre enseignants0,263 · 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'étudeSans objet
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

Citations2
Publié2021
Routes d'admission1
Résumé présentoui

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