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Record W4389887215 · doi:10.1111/add.16402

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

2023· article· en· W4389887215 on 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

Bibliographic record

VenueAddiction · 2023
Typearticle
Languageen
FieldMedicine
TopicSubstance Abuse Treatment and Outcomes
Canadian institutionsCarleton 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
FundersHealth Canada
KeywordsPsychologyAlcoholEnvironmental healthPoison controlHuman factors and ergonomicsMedicineBiology

Abstract

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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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.428
Threshold uncertainty score0.823

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.066
GPT teacher head0.352
Teacher spread0.286 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2023
Admission routes3
Has abstractyes

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