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Energy drink co‐administration is associated with increased reported alcohol ingestion

2010· article· en· W2131491838 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueDrug and Alcohol Review · 2010
Typearticle
Languageen
FieldMedicine
TopicCoffee research and impacts
Canadian institutionsDalhousie University
Fundersnot available
KeywordsAlcoholMedicineIngestionTimelineAlcohol intoxicationAlcohol intakeAlcohol dependenceInjury preventionPoison controlEnvironmental healthInternal medicine

Abstract

fetched live from OpenAlex

INTRODUCTION AND AIMS: While energy drinks (EDs) and alcohol have been reported to be frequently co-administered, little is known about the effect of this co-administration on alcohol drinking patterns. The purpose of the present research was to characterise patterns of ED and alcohol co-administration. DESIGN AND METHODS: Seventy-two ED users were recruited from the Halifax university community. Participants provided information about their lifetime ED and other substance use, in addition to detailing instances of their ED and alcohol use during the previous week using a timeline follow-back interview. RESULTS: Seventy-six per cent of participants reported ever deliberately mixing alcohol with EDs and 19% reported doing so during the previous week. Relative to alcohol drinking sessions in which EDs were not used, participants reported drinking significantly more alcohol when it was co-administered with EDs. DISCUSSION AND CONCLUSIONS: Alcohol and ED co-administration is relatively common among ED users and seems to be associated with increased alcohol ingestion. It is recommended that this matter receive more clinical and research attention.

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.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.610
Threshold uncertainty score0.511

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.043
GPT teacher head0.354
Teacher spread0.311 · 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