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Is alcopop consumption in Switzerland associated with riskier drinking patterns and more alcohol‐related problems?

2006· article· en· W2111208414 on OpenAlexaff
Matthias Wicki, Gerhard Gmel, Emmanuel Kuntsche, Jürgen Rehm, Esther Grichting

Bibliographic record

VenueAddiction · 2006
Typearticle
Languageen
FieldMedicine
TopicSubstance Abuse Treatment and Outcomes
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsEnvironmental healthTruancyAlcoholConsumption (sociology)Alcohol consumptionInjury preventionMedicineSuicide preventionHuman factors and ergonomicsPoison controlOccupational safety and healthSample (material)PsychologyChemistry

Abstract

fetched live from OpenAlex

OBJECTIVES: To examine (a) whether consumers of alcopops compared to consumers of other alcoholic beverages but not alcopops have riskier drinking patterns and more alcohol-related consequences (e.g. truancy, scuffles, problems with parents) and (b) whether the amount of alcopops consumed is associated independently with risky drinking patterns and alcohol-related consequences over and above those associated with the amount of other alcoholic beverages consumed. SAMPLE: As part of the ESPAD international study, a cross-sectional national representative sample of 5,444 drinkers aged 13-16 years was interviewed by means of an anonymous, self-report questionnaire administered in a classroom setting. RESULTS: Earlier initiation of consumption, more frequent risky single occasion drinking (RSOD), and a higher likelihood of negative consequences for consumers than for non-consumers of alcopops were due mainly to higher overall consumption. Other alcoholic beverages had similar effects, and whether the same amount of alcohol was consumed as alcopops or as any conventional alcoholic beverage made no difference. CONCLUSIONS: Alcopops in Switzerland do not seem to be linked to specific riskier drinking patterns or consequences per se. Like all alcoholic beverages, they add to the problems caused by drinking and seem to be consumed in addition to conventional alcoholic beverages without replacing them. As the alcohol industry will continue to launch new beverages, prevention targeting alcohol consumption in general might be more effective than focusing on new beverages only.

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 score0.006
Threshold uncertainty score0.428

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 head0.018
GPT teacher head0.259
Teacher spread0.241 · 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

Citations48
Published2006
Admission routes1
Has abstractyes

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