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Record W2791612173 · doi:10.1111/add.14179

Four‐year follow‐up of an internet‐based brief intervention for unhealthy alcohol use in young men

2018· article· en· W2791612173 on OpenAlexaff
Nicolas Bertholet, Joseph Studer, John Cunningham, Gerhard Gmel, Bernard Burnand, Jean‐Bernard Daeppen

Bibliographic record

VenueAddiction · 2018
Typearticle
Languageen
FieldMedicine
TopicSubstance Abuse Treatment and Outcomes
Canadian institutionsUniversity of TorontoCentre for Addiction and Mental Health
FundersChinese Society of Clinical OncologySchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungNational Science Foundation
KeywordsMedicineBinge drinkingCohortRandomized controlled trialPopulationBrief interventionAlcohol Use Disorders Identification TestIntervention (counseling)Cohort studyPhysical therapyPoison controlInjury preventionEnvironmental healthPsychiatryInternal medicine

Abstract

fetched live from OpenAlex

AIM: To estimate the long-term efficacy of an internet-based brief intervention (IBI) in decreasing alcohol use among men on (1) number of drinks/week and (2) monthly or more binge drinking prevalence. In addition, overall changes in alcohol use were assessed. DESIGN: Participants in a cohort study were recruited in a two parallel-group randomized controlled trial of an IBI versus no-intervention control condition, showing a positive intervention effect at 6 months. As part of the regular cohort assessments, participants were re-assessed 47 months after the initial trial, offering an opportunity to determine long-term efficacy. SETTING: Young Swiss men from the general population. PARTICIPANTS: Of 737 randomized trial participants with unhealthy alcohol use (> 14 drinks/week or ≥ 6 drinks/occasion at least monthly, or Alcohol Use Disorders Identification Test (AUDIT) ≥ 8), 626 completed a cohort assessment at mean ± standard deviation (SD) = 47.4 ± 2.6) months after their randomized trial baseline assessment. INTERVENTION: IBI included normative and personalized feedback on alcohol use, risk indicators, information about alcohol and health and recommendations; controls: assessment only. MEASUREMENTS: Self-reported number of drinks/week and monthly or more binge drinking prevalence. FINDINGS: Comparisons at follow-up were adjusted for baseline drinking. Missing values were replaced with the last observation carried forward. There was no evidence of differences between the IBI and control group on either the number of drinks/week [IBI: 10.8 (14.2); control: 10.7 (14.1), P = 0.8] or monthly or more binge drinking prevalence (IBI: 65.1%; control: 63.5%, P = 0.5). Although there was no evidence of overall change from baseline in number of drinks/week [9.8 (7.9) at baseline, 10.8 (14.1) at 47 months, P = 0.051], there was evidence that monthly or more binge drinking prevalence had decreased during the follow-up time (84.9% at baseline, 64.3% at 47 months, P < 0.001). CONCLUSIONS: An internet-based brief intervention directed at unhealthy alcohol use among young men does not appear to reduce drinking over the long-term.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.064
Threshold uncertainty score0.369

Codex and Gemma teacher scores by category

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

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 head0.055
GPT teacher head0.329
Teacher spread0.274 · 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 designObservational
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

Citations9
Published2018
Admission routes1
Has abstractyes

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