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Enregistrement W4252990767 · doi:10.7895/ijadr.293

Measuring alcohol’s cost, the Russian-language AUDIT, home-drinking, guilt, shame and forgiveness, and alcohol use among sexual minority women

2021· article· en· W4252990767 sur OpenAlexvenueno aff
Neo K. Morojele, Anne‐Marie Laslett

Notice bibliographique

RevueThe International Journal of Alcohol and Drug Research · 2021
Typearticle
Langueen
DomaineMedicine
ThématiqueSubstance Abuse Treatment and Outcomes
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésAlcohol Use Disorders Identification TestShameAuditEconomic costMedicinePsychologyPsychiatryEnvironmental healthPoison controlInjury preventionSocial psychologyBusiness

Résumé

récupéré en direct d'OpenAlex

Welcome to the first issue of Volume 9 of IJADR for 2021. This issue has papers that are likely to be of interest to a very broad audience. Again, we have a spread of international papers addressing issues related to (a) the measurement of cost of alcohol-attributable illness in studies across the globe (Carr et al., 2021); (b) drinking at home in Australia (Aplin et al., 2021); (c) the operationalisation of the Alcohol Use Disorders Identification Test (AUDIT) in the Russian Federation and other countries where Russian-language versions of the instrument have been used (Bunova et al., 2021); (d) alcohol consumption and problems among sexual minority women (SMW) in the United States of America (Hughes et al., 2021); and (e) emotions of shame and guilt feelings among people with alcohol use disorders (AUDs) in Turkey (Vatansever & Ozgur-Ilhan., 2021). There are many interesting, useful and important lessons about measuring alcohol consumption, alcohol-related problems and costs from this issue’s collection of papers.Cost of illness studies are relevant to policymakers because they summarize the societal burden from a given disease and enable comparison of costs for different health and social problems. Cost of illness studies have been broadened to include costs due to risk factors such as alcohol. The aim of the Carr, Rehm and Manthey (2021) paper was two-fold: to evaluate alcohol-attributable cost of illness metrics and improve guidelines for alcohol-specific and general cost of illness studies. Carr et al. (2021) undertook a systematic review firstly to identify guidelines for how cost of illness studies should be undertaken. They found 14 sets of guidelines and identified key criteria that cost of illness studies should meet. Secondly, they identified 18 alcohol-attributable cost of illness studies and reviewed whether these studies followed identified best practice guidelines. Disappointingly, Carr et al. found that adherence to guidelines in published alcohol-attributable (and general) cost of illness studies was low. Contrary to recommendations, many studies did not: define direct and indirect costs; compare the costs estimated to the national gross domestic figures; or estimate avoidable costs. Consequently, they concluded that the alcohol-related costs of illness estimated in many studies are deficient. Importantly Carr et al., (2021) set out common standards for cost of illness studies and suggest content-related and software-based solutions that should reduce heterogeneity and enhance comparability in future alcohol cost of illness studies.Aplin and colleagues’ (2021) paper describes a study in which the authors compared the role of habit and intention in drinking at home among a sample of adults (aged 35-60 years) in Australia. Although conducted pre-COVID, this study is particularly relevant to the COVID-19 times of increased home drinking due to the closure of on-premise outlets in many locations. A key finding of the study is that habit is more strongly associated with alcohol consumption than is drinking intention. In other words, drinking at home seems to involve more of an automatic than a conscious decision-making process. The study’s findings raise some important questions regarding drinking during the pandemic. With restrictions imposed on on-premise consumption in many countries, in one form or the other, home drinking is likely to have increased. What are the implications of these restrictions and new patterns or levels of “habitual drinking” for alcohol-related harms in the home? And will those habits be maintained once lockdown restrictions have been lifted?The AUDIT has been widely available since the 1980s, and validated and translated into several languages throughout the world. The paper by Anna Bunova and her colleagues (2021) describes a document analysis which was conducted to identify the different versions of the AUDIT as part of a larger validation project. Bunova et al. uncovered 61 unique versions of the AUDIT in Russian and identified a number of inconsistencies in the ways in which they had been operationalized and translated from English. For example, they found standard drinks were operationalised differently across different forms of the AUDIT, and speculated that this could be due to the absence of official definitions of a standard drink in Russia. It would be useful for these revelations to be disseminated widely to those interested in using the AUDIT in Russian. The shortcomings that have been highlighted are probably not unique to the Russian language AUDITs, and similar audits of the AUDIT are probably worth pursuing for other non-English language versions of the AUDIT. The Chicago Health and Life Experiences of Women (CHLEW) study is the longest-running and most comprehensive study of alcohol use among sexual minority women (SMW, e.g., lesbian, bisexual) in the United States of America and globally. The first wave was undertaken in 2000 and the fifth wave is underway. The article by Hughes, Wilsnack, Martin, Matthews and Johnson (2021) describes CHLEW’s development and the challenges faced by the research team in developing and maintaining a longitudinal study. This paper celebrates the success of this study, including the 56 published manuscripts produced in the past 21 years, and describes the contribution the study has made to deepening understanding of SMW’s drinking and associated risks. Crucially, the paper also details how longitudinal designs can be used to understand how changes in social determinants impact alcohol use. This paper outlines the processes of this long-term study, its major findings, and the lessons learned, and acts as a model for future research that seeks to understanding and eliminate sexual orientation-related health disparities.In a study of treatment and non-treatment samples in Turkey, Vatansever and her colleagues (2021) sought to disentangle the relative importance of two similar, but unique concepts, among people with alcohol use disorders (AUDs) – guilt and shame. These constructs refer to a feeling and an emotion that are not uncommon among people with AUDs. They also assessed pride and forgiveness. A key finding was that individuals with substance use disorders had higher levels of guilt and shame, and lower levels of pride than a comparison group of people without an AUD. They also found that when both guilt and shame were entered into one model, only guilt was independently associated with having a substance use disorder. The findings have important implications for treatment of individuals with AUDs.

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)0,012
score de la tête « metaresearch » (Gemma)0,065
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,012
Score d'incertitude au seuil0,065

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0120,065
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0020,002
Études des sciences et des technologies0,0010,001
Communication savante0,0020,002
Science ouverte0,0010,001
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0030,001

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 Opus0,109
Tête enseignante GPT0,367
Écart entre enseignants0,258 · 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'étudeObservationnel
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

Citations0
Publié2021
Routes d'admission1
Résumé présentoui

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