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Enregistrement W4389887215 · doi:10.1111/add.16402

New perspectives on how to formulate alcohol drinking guidelines: Response to commentaries

2023· article· en· W4389887215 sur OpenAlexafffundabout
Kevin D. Shield, Catherine Paradis, Peter Butt, Timothy S. Naimi, Adam Sherk, Mark Asbridge, Daniel T. Myran, Tim Stockwell, Samantha Wells, Nancy Poole, J. Jill Heatley, Erin Hobin, Kara Thompson, Matthew M. Young

Notice bibliographique

RevueAddiction · 2023
Typearticle
Langueen
DomaineMedicine
ThématiqueSubstance Abuse Treatment and Outcomes
Établissements canadiensCarleton UniversityGreoSt. Francis Xavier UniversityGovernment of Nova ScotiaUniversity of OttawaUniversity of VictoriaUniversity of SaskatchewanBritish Columbia Centre of Excellence for Women's HealthUniversity of TorontoWestern UniversityCanadian Centre on Substance Use and AddictionPublic Health OntarioDalhousie UniversityCentre for Addiction and Mental Health
Organismes subventionnairesHealth Canada
Mots-clésPsychologyAlcoholEnvironmental healthPoison controlHuman factors and ergonomicsMedicineBiology

Résumé

récupéré en direct d'OpenAlex

There is a need for research on how the use of years of life lost and risk zones affect risk perception, and how risk acceptability differs between individuals. Furthermore, there is a need for guidance documents to better delineate how single-occasion drinking increases harms. We would like to thank Mr Angus and Drs Livingston, Holmes and Greenfield for their commentaries on our debate article [1-4]. These commentaries focus upon (i) the definition, operationalization and communication of health consequences from alcohol use and (ii) the need to communicate how per occasion drinking impacts health. The Canadian Guidance on Alcohol and Health (CGAH) uses years of life lost (YLL) as the main measure of health loss. However, as noted by the commentators, while YLL are more comprehensive of health loss when compared to death, there is a need for evidence on how the use of YLL affects people's perceptions of alcohol's impact upon health [5]. As noted by the commentators, further research and consultation is needed on the acceptability of alcohol-related risks, and to determine what constitutes low-, moderate- and high-risk. For example, is it appropriate to use Starr's analysis, as we did, or should we determine different risk zone thresholds for different activities? How, then, do we help people compare risk-taking behaviours if variable criteria are used under different circumstances? We acknowledge that the effect of the CGAH risk zone approach (as opposed to a single threshold approach) on a person's perceptions of alcohol's impact upon health are unknown, as there is no evidence on this topic [6]. The CGAH risk zones correspond to Starr's analysis of people's willingness to accept risks from voluntary behaviours [7]. Rather than defining an acceptable risk level, we used the widely accepted 1:1000 and 1:100 life-time-attributable death thresholds as bench-marks to communicate risk. One benefit of using risk zones is that they promote autonomy by avoiding the endorsement of any particular risk threshold as acceptable. Their use also may increase the relevance of guidelines to those for whom consumption at the lowest risk zone may not be possible or welcome. Therefore, we hypothesize that the most effective way to communicate the impact of alcohol use on health is to provide risk information based on a standard risk definition, with each individual determining what risk is acceptable to him or her. In addition to guidance documents, personalized web applications may help to operationalize risk measures in a variety of forms, including death, loss of life expectancy, incidence of disease, financial costs and calorie intake, while also enabling the autonomy to select desired health gains through reduced drinking. Dr Greenfield called attention to the CGAH's limitations in conveying the risks of per occasion drinking [6]. The CGAH recommends that ‘you don’t exceed 2 drinks on any day’ (where a drink is 13.45 g of ethanol). While it is not possible to model the impacts of both volume and patterns of alcohol use due to the availability of suitable risk ratios, we agree with Dr Greenfield that there is sufficient evidence for guidance documents to discuss how a greater number of drinks consumed on an occasion increases harms, and that this message needs to be better emphasized in future knowledge mobilization of the CGAH. Catherine Paradis (co-chair), Peter Butt (co-chair), Mark Asbridge, Danielle Buell, Samantha Cukier, Francois Damphousse, Jennifer Heatley, Erin Hobin, Harold R. Johnson, Ryan McCarthy, Chris Mushquash, Daniel Myran, Tim Naimi, Nancy Poole, Justin Presseau, Adam Sherk, Kevin D. Shield, Tim Stockwell, Sharon Straus, Kara Thompson, Samantha Wells and Matthew Young. Kevin D. Shield: Conceptualization (equal); writing—original draft (equal); writing—review and editing (equal). Catherine Paradis: Conceptualization (equal); funding acquisition (equal); writing—original draft (equal); writing—review and editing (equal). Peter R. Butt: Conceptualization (equal); funding acquisition (equal); writing—original draft (equal); writing—review and editing (equal). Timothy Naimi: Conceptualization (equal); writing—review and editing (equal). Adam Sherk: Conceptualization (equal); writing—review and editing (equal). Mark Asbridge: Conceptualization (equal); writing—review and editing (equal). Daniel T. Myran: Conceptualization (equal); writing—original draft; writing—review and editing (equal). Tim Stockwell: Conceptualization (equal); writing—review and editing (equal). Samantha Wells: Conceptualization (equal); writing—review and editing (equal). Nancy Poole: Conceptualization (equal); writing—review and editing (equal). Jennifer Heatley: Conceptualization (equal); writing—review and editing (equal). Erin Hobin: Conceptualization (equal); writing—review and editing (equal). Kara Thompson: Conceptualization (equal); writing—review and editing (equal). Matthew M. Young: Conceptualization (equal); writing—review and editing (equal). Production of this document was made possible by a financial contribution from Health Canada to the Canadian Centre on Substance Use and Addiction. The views expressed herein do not necessarily represent the views of Health Canada. T.S. and A.S. declare funding from the Ontario Public Service Employees Union to serve as expert witnesses opposing the introduction of alcohol sales in corner stores. T.N., T.S. and A.S. declare funding from the Finnish government alcohol monopoly, Alko, to conduct research on alcohol and public health policy. T.N. declares funding from the British Columbia Liquor and Cannabis Regulation Branch.

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: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,428
Score d'incertitude au seuil0,823

Scores Codex et Gemma par catégorie

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

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 Opus0,066
Tête enseignante GPT0,352
Écart entre enseignants0,286 · 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
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

Citations1
Publié2023
Routes d'admission3
Résumé présentoui

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