RISK FACTORS AND CONSEQUENCES OF ALCOHOL CONSUMPTION AMONG COLLEGE STUDENTS
Bibliographic record
Abstract
Abstract: Introduction: Alcoholism is the recent trend among college students. Peer pressure,stress,depression are some factors that drive these students to practice this social evil. Under intoxication,consequences are grave. Drunk and driving, road traffic accidents, legal issues, antisocial activities are some of them, that has proved alcoholism a public menace. Objective: To assess the risk factors and consequences of alcohol consumption among adolescents. Materials and Methods: A survey was carried out in the colleges under NITTE University. Students present at the day and time of visit were covered. A questionnaire was prepared comprising of a set of 14 questions covering the main objective of the survey. The students were asked to fill the questionnaire irrespective of their gender or whether they consume alcohol or not. Results: From the survey, we found that social gatherings and lifestyle adaptation are major factors that prompt students to consume alcohol. Peer pressure,stress and parents influence are other factors. The consequences observed are legal issues and family problems. But majority didn't seem to face any grave problems due to alcohol intoxication. Conclusions: According to our study, more than 55% of the subjects that consume alcohol do so due to peer pressure, academic stress and emotional stress. Also, more than quarter of those consuming alcohol are involved in road traffic accidents and other legal issues, as well as having familial problems.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.004 | 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".