Determinants of Sustained Binge Drinking in Young Adults
Bibliographic record
Abstract
BACKGROUND: Binge drinking occurs frequently among young adults, posing risks to health and safety. Little is known, however, about which drinkers continue to binge later into adulthood. We sought to identify predictors of sustained binge drinking behaviors in young adulthood. METHODS: Participants from the Nicotine Dependence in Teens (NDIT) cohort (n = 609, 53% female) completed self-report questionnaires in 20 survey cycles (SCs) during secondary school between 1999 and 2005, and in 2 postsecondary school SCs in 2007 to 2008 (SC 21; Mage = 20 years) and 2011 to 2012 (SC 22; Mage = 24 years). Participants reporting past-year binge drinking in both SCs 21 and 22 were categorized as sustainers (n = 517). Using multivariable logistic regression, we investigated 25 potential predictors of sustained binge drinking, binge-drinking frequency, and change in frequency over time among sustainers. RESULTS: Compared with stoppers, sustainers (85% of participants) were more likely to be younger, male, and to have no college/university education. Sustainers began drinking alcohol and binge drinking earlier, drank at least monthly during more secondary school grades, binged more frequently at age 20, and scored higher on impulsivity and novelty seeking in adolescence. Among sustainers, frequent binge drinkers were more likely to be male, to be nonstudents, to score higher on novelty seeking, and to have reported more depressive symptoms in adolescence. Sustainers who decelerated their binge frequency between SCs 21 and 22 were more likely to be female, to have achieved a higher level of education, and to report more depressive symptoms in SC 21. CONCLUSIONS: The determinants of sustained binge drinking are similar to predictors of binge drinking reported in the literature. Early identification of, and intervention with, youth who are impulsive, inclined toward novelty seeking, and who report higher levels of early sub clinical depressive symptoms might forestall their involvement in risky alcohol use.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".