THE ASSOCIATION BETWEEN THE USE OF ALCOHOL, MARIJUANA AND COCAINE AND THE SOCIODEMOGRAPHIC CHARACTERISTICS OF UNIVERSITY STUDENTS OF RIBEIRÃO PRETO, BRAZIL
Bibliographic record
Abstract
ABSTRACT Objective: to determine the prevalence of use in life and in the last three months of alcohol, marijuana and cocaine among university students from the social and health Sciences areas of Ribeirão Preto, Brazil and to evaluate the association between use in life and in the last three months of alcohol, marijuana and cocaine and the variables gender, area of the course, with whom the student lives, importance of religion, age and year of study. Method: a cross-sectional study, carried out with a convenience sample of 275 students from a public university in Ribeirão Preto-SP. For data collection, two instruments were used, containing sociodemographic, training and psychoactive substances. For the analysis, the following tests were used: Fisher's exact test, Chi-square test of Person and Mann-Whitney test. Results: As for sociodemographic factors, there was a significant association between the gender of the participants among the use of marijuana and cocaine in life (p=0.024 and p=0.005, respectively) and the last three months (p=0.013 and p=0.009, respectively), among the importance of religion and the lifetime use of alcohol, marijuana and cocaine (p <0.001, p <0.001 and p = 0.024, respectively) and the use of only marijuana in the last three months (p <0.001) and among the use of marijuana in the last three months and the year of graduation (p=0.003). Regarding age, the results showed a significant difference only between the groups that reported not to use alcohol in life (p=0.037). Conclusion: the investigated university students presented a prevalence of use in their lifetime and in the last three months of marijuana and cocaine greater among men, but not for alcohol. The importance of religion was negatively associated with the use of investigated drugs. The results can provide important subsidies for the structuring of preventive measures for abuse of psychoactive substances between university students and the need for new investigations that cover the subject.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".