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Enregistrement W1483061588 · doi:10.1111/j.1360-0443.2011.03651.x

Commentary on Caetano <i>et al</i>. (2012): Beyond exhortations for drinkers to drink less

2011· letter· en· W1483061588 sur OpenAlexaffabout
Tim Stockwell

Notice bibliographique

RevueAddiction · 2011
Typeletter
Langueen
DomaineMedicine
ThématiqueSubstance Abuse Treatment and Outcomes
Établissements canadiensUniversity of Victoria
Organismes subventionnairesnon disponible
Mots-clésHarmConsumption (sociology)Relevance (law)Argument (complex analysis)PsychologyAlcohol consumptionPopulationPublic healthEnvironmental healthDemographyMedicineSocial psychologyAlcoholPolitical scienceSociologyPathology

Résumé

récupéré en direct d'OpenAlex

I would like to start by complimenting the authors of this paper [1]. It provides an elegant anatomy of drinking patterns and related problems in a developing country with both high rates of abstention and high rates of alcohol use disorders. They have added significantly to the literature on the topic widely referred to as the ‘prevention paradox’ by confirming its relevance in such a population and as well for problems of dependence in addition to social harms. They further confirm the essentially non-paradoxical nature of the wide distribution of alcohol problems across many people who drink, as opposed to these being confined to a small group of extremely heavy drinkers. Much of the ‘paradox’ is explicable in terms of their being a great number of people who occasionally drink to excess but whose overall volume of drinking is within the low-risk drinking guidelines, or at least within the moderate range of drinking by overall volume. In his much-debated and seminal contribution, Kreitman [2] first used the prevention paradox as an argument for exhorting all drinkers to drink less as a more appropriate public health message than one which espoused specific low-risk drinking levels. As was subsequently pointed out, Kreitman classified drinkers' risk of harm only in terms of the overall volume of consumption over a week or year, and when drinking pattern was factored in this ‘first-order’ paradox vanished [3–5]. In the present study, a clear majority (75%) of drinkers with social problems were low or moderate drinkers. This number dropped to only 20% when all ‘binge drinkers’ were excluded. For signs of dependence, these figures were 76% and 19%, respectively. Rather than paradoxical, these data indicate the mildly surprising finding that one-fifth of low-volume drinkers who never exceed three drinks (women) or four drinks (men) in 1 day still report some social problems and signs of dependence. Some of this may be explicable in terms of respondents on very low incomes experiencing financial problems when they drink regularly, even at low levels; some of it by underreporting of actual consumption [6] and some by possible difficulties for some respondents grasping the graduated-frequency questions [7]. Furthermore, it may be possible that questions about ‘problems caused by your drinking’ can be understood in more social than personal terms, i.e. respondents believe that simply participating in a social event where there was drinking caused them to experience a problem. Going to a bar can present a risk of being involved in a violent or impaired driving incident even if you have only one drink. However, even factoring-in all these and other possible explanations these data, along with data on elevated cancer risks at low levels of consumption [8], remind us that there is no such thing as completely risk-free drinking. They should also remind us that people who choose to drink are best served by public health messages which encourage them to restrict both volume and quantity per occasion, as opposed to a rather vague and ambiguous encouragement to ‘drink less’ at whatever level they happen to be currently drinking. The prevention paradox has also been employed in the promotion of public health policies to restrict the physical and economic availability of alcohol [9]. A popular counter-argument to such policies is that they punish the many for the sins of the few. The prevention paradox, however, suggests that, on the final day of reckoning, the many commit more sins collectively than the few, and should therefore not be spared the punishment of more expensive and less accessible alcohol. I personally believe the reframing of the paradox in terms of there being many occasional heavy drinkers, even among otherwise low-volume drinkers, to be slightly more helpful in advancing effective alcohol policy than asking people to believe that those who drink a little cause most of the problems. However, this is really simply a nuance, and whatever precise argument is used advocacy of effective broad public health policies such as minimum alcohol pricing and reduced density of liquor outlets is always an uphill battle, especially in cultures in which so many people enjoy and embrace the stuff. Underscoring this point, Macdonald et al. [10] reported recently that public support for effective alcohol policies in Canada was related inversely to provincial per capita alcohol consumption. Put another way, provinces with most need for effective alcohol policy were also those where it was probably hardest to implement. To the extent that research has a role to play in changing hearts and minds in this difficult policy arena, Caetano et al.'s results help to illustrate that the cosy assumption that most alcohol consumption is without risk does not stand up. In Canada, we tried to put this message into one simple figure: 61.5% of all alcohol consumption was inconsistent with widely used low-risk drinking guidelines [11]. 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 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)0,013
score de la tête « metaresearch » (Gemma)0,069
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: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,079
Score d'incertitude au seuil0,068

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0130,069
Méta-épidémiologie (sens strict)0,0020,002
Méta-épidémiologie (sens large)0,0040,002
Bibliométrie0,0020,002
Études des sciences et des technologies0,0080,008
Communication savante0,0080,012
Science ouverte0,0110,005
Intégrité de la recherche0,0790,098
Charge utile insuffisante (le modèle a refusé de juger)0,0140,014

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 Opus0,033
Tête enseignante GPT0,288
Écart entre enseignants0,256 · 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
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

Citations0
Publié2011
Routes d'admission2
Résumé présentoui

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