Public College Students’ Perception of Underage Drinking In Nigeria: Analysis of Current Issues
Bibliographic record
Abstract
BACKGROUND: Alcohol is the most widely used substance of abuse among youths in Nigerian. Currently, underage drinking has become a serious public health problem in most colleges and despite the health and safety risk, consumption of alcohol is rising. Having recourse to the public health objective on alcohol by the World Health organization, which is to reduce the health burden caused by the harmful use of alcohol, thereby saving lives and reducing injuries, this study explored the nature of alcohol use among college students, binge drinking and the consequences of alcohol consumption. Secondary school students are in a transition developmentally and this comes with its debilitating effects such as risky alcohol use which affects their health and educational attainment (Loukas, Cance, & Batanova, 2016; Adekeye, 2012). METHODS: This is a cross-sectional study of 809 college students (ages 14–20 years) using the research survey method. For data collection, an adapted and validated version of the youth questionnaire on underage drinking was employed. RESULTS: Bivariate analysis found that more male students consume beer and spirits while wine was the reported preference of female students. Heavy episodic drinking (HED) was discovered among few male students while 50.2% of the sample had their first drink between ages 14 and 17. 81% of the sample had ever drank alcohol while more than half (65%) of the sample consume alcohol once in a month. Further analyses show prevalence of alcohol consumption, strategies to reducing alcohol use, reasons for underage drinking and effects of alcohol consumption. CONCLUSIONS: A majority of underage students supported increasing efforts to control underage drinking. The students reported that an effective approach to decreasing alcohol use could be public presentations by people who have been seriously hurt or impaired by alcohol use. This will be a veritable public health intervention.
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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 | 0.001 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".