Low-frequency binge drinking: associated factors and consequences
Bibliographic record
Abstract
Background Binge drinking (BD) is a public health concern among young adults. Whether it is harmful even at a low frequency remains unclear.Objectives To test if even low-frequency (less than once a month) BD is associated with a higher likelihood of alcohol use disorder (AUD), and if some key environmental and psychological features characterize low-frequency binge drinkers.Methods Alcohol-related, environmental and psychological data were collected from university students aged 18–25 who drank alcohol. Students were divided into four groups according to their BD frequency: non-binge drinkers (never had six or more drinks on one occasion), and binge drinkers with low (at least once lifetime but less than once a month), medium (at least once a month but less than once a week), or high (at least once a week) frequency.Results Among the 3308 students included in this cross-sectional study, 473 never binged alcohol, while 1204, 1001, and 630 were low-, medium-, and high-frequency binge drinkers, respectively. Even low-frequency BD was associated with higher AUDIT scores and a larger prevalence of harmful drinking. Compared to non-binge drinkers, low-frequency binge drinkers also reported higher rates of smoking, sensation seeking, and endorsement of enhancement and social drinking motives.Conclusions Among 18–25-year-old students exposed to alcohol, even infrequent BD is associated with more harmful drinking. The findings highlight the importance of prevention strategies since BD less than once a month, which concerns a third of this population, is already associated with a higher likelihood of AUD.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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".