Factors Associated with Alcohol Consumption among Adolescents in Selected Secondary Schools in a Local Government Area of Oyo State, Southwest, Nigeria
Bibliographic record
Abstract
Alcohol use during adolescence and young adulthood remain a prominent public health problem. This study identifies factors associated with alcohol consumption among adolescents in selected secondary schools in Ibadan North Local Government Area, Southwest, Nigeria. A cross-sectional descriptive study was used. One hundred and seventy-six (176) respondents were consecutively selected using the random technique. Data were analyzed using chi-square and hypotheses tested at a 5% level of significance. Findings revealed that the majority of the respondents had poor knowledge of alcohol consumption, while (36.4%) of the respondents had consumed alcoholic beverages. Over half (54.5%) engaged in drinking alcohol as a result of peer influence. The majority (70%) of them had good knowledge of factors influencing alcohol consumption and factors influencing consumption among the respondents. Thus, the rate of alcohol consumption among adolescents was low (36.4%) as a larger percentage (64.6%) of them did not consume alcohol owing to their knowledge of the effect and the presence of some protective factors within the environment. In conclusion, alcohol consumption among adolescents was low, knowledge of its consumption was high, and it was associated with its actual consumption. Alcohol use is also associated with peer influence and environmental variables, while age and gender did not have any relationship with alcohol consumption. Therefore, educational intervention to improve knowledge of the consequences of alcohol consumption among adolescents and public policies with preventive educational campaigns was recommended.
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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 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".