Access to alcohol and binge drinking among vocational college students: A multilevel study in a tourist destination province of Thailand
Bibliographic record
Abstract
McNeil, E., Inthawong, Y., & Assanangkornchai, S. (2015). Access to alcohol and binge drinking among vocational college students: A multilevel study in a tourist destination province of Thailand. The International Journal Of Alcohol And Drug Research, 5(2), 47-55. doi:http://dx.doi.org/10.7895/ijadr.v5i2.214A key issue in alcohol-related harm reduction is the impact of commercial and social availability on alcohol-related problems and harm among young people. The increasing density of alcohol outlets has been shown to be associated with harmful youth drinking behavior, although studies have produced mixed results, underlying the complexity of the situation.Aims: The present study was conducted to assess the relationship between density of alcohol outlets and drinking behaviors among vocational college students.Methods: A cross-sectional school-based survey was conducted among full-time students studying in vocational colleges in Phuket, Thailand. Multilevel regression models were used to assess the relationship between alcohol-outlet density and current and binge drinking, controlling for student and school characteristics.Results: A total of 3,363 students completed the self-reported questionnaire (response rate 66.7%). A significant association was found between alcohol-outlet density and binge drinking but not current drinking. Both current and binge drinking were associated with a positive attitude toward drinking, perception of peer and family drinking norms, and social availability of alcohol. For every increase in 10 on-premise alcohol outlets per square kilometer the risk of binge drinking increased by an average of 5%. Empirical evidence regarding this relationship is important to support law and policy movements towards further restriction of alcohol outlets and zoning of entertainment venues.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".