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Where, With Whom, and How Much Alcohol Is Consumed on Drinking Events Involving Aggression? Event‐Level Associations in a Canadian National Survey of University Students

2008· article· en· W2164931151 on OpenAlexaffabout
Samantha Wells, Ljiljana Mihić, Paul F. Tremblay, Kathryn Graham, Andrée Demers

Bibliographic record

VenueAlcoholism Clinical and Experimental Research · 2008
Typearticle
Languageen
FieldMedicine
TopicSubstance Abuse Treatment and Outcomes
Canadian institutionsUniversité de MontréalCentre for Addiction and Mental Health
Fundersnot available
KeywordsAggressionContext (archaeology)PsychologyInjury preventionPoison controlHuman factors and ergonomicsEnvironmental healthSuicide preventionResidenceDemographyAlcohol abuseAlcohol consumptionSocial psychologyMedicineAlcoholPsychiatryGeography

Abstract

fetched live from OpenAlex

BACKGROUND: Epidemiological research using event-level data can provide a better understanding of the association between alcohol consumption, characteristics of drinking contexts, and the likelihood of aggressive behavior. The present research assessed whether alcohol intake and characteristics of the drinking context were associated with the likelihood of aggression within individuals across 3 drinking events based on a national sample of university students, taking into account individual characteristics and university level variables. Additionally, we determined whether individual characteristics, particularly drinking pattern, were associated with alcohol-related aggression controlling for drinking event characteristics, and whether relations of aggression to alcohol and drinking contexts differed by gender. METHODS: Secondary analyses of the 2004 Canadian Campus Survey (CCS), a national survey of 6,282 university students (41% response rate) at 40 Canadian universities, were conducted. Respondents were asked about their three most recent drinking events, including whether they were in an argument or fight with someone, number of drinks consumed, and characteristics of the drinking context as well as their usual drinking frequency and heavy episodic drinking. We used multi-level analyses to account for the nested structure of the data (i.e., drinking events nested within individuals who were nested within universities). RESULTS: The number of drinks consumed was positively associated with aggression. Drinking contexts found to be positively associated with aggression included being at a party, at a fraternity/sorority and/or residence, at three or more drinking places (versus 1 or 2), and having a partner present whereas having a meal reduced the likelihood of aggression. A significant interaction was found between gender and being at a party, with a significant effect found for women but not for men. CONCLUSIONS: These results support experimental evidence indicating a direct role of alcohol in aggression and point to characteristics of the drinking context that might be targeted in future prevention initiatives.

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.088
Threshold uncertainty score0.958

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 head0.318
GPT teacher head0.480
Teacher spread0.162 · 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

Citations52
Published2008
Admission routes2
Has abstractyes

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