Characterization of alcohol consumption among 5th and 6th year students of the Medical School of the Universidad Abierta Interamericana - Sede Rosario, year 2023
Bibliographic record
Abstract
Introduction: In 2017, global alcohol consumption was 243 million hectoliters (Mhl), with Argentina being the eighth largest alcohol consuming country in the world (8.9 million hl). Among university students, alcohol is consumed to increase feelings of well-being, power and sociability, to improve their emotional state and to cope with stressful situations. This is proportionally associated with harmful alcohol consumption.Objective: To describe the characteristics related to alcohol consumption among 5th and 6th year students of the Medical School of the UAI - Rosario Campus in the year 2023.Materials and methods: Quantitative, observational, descriptive, cross-sectional and retrospective study, based on surveys, in which the case of the Universidad Abierta Interamericana - Sede Rosario, during the month of June 2023 was described.Results: 113 people (n total) were interviewed in the present study, among them, 72 were female (63.5%) and 41 were male (36.5%), with a mean age of 28.77± 5.31 (min. 23, max. 50). Among the female population, 26.4% showed risky or harmful use or symptoms of dependence, while 26.8% were male. With regard to age, 28.3% of those who presented risky, harmful consumption or dependence symptoms were between 20 and 25 years old, followed by 25.7% between 26 and 30 years old, 30.8% between 31 and 35 years old, 16.7% between 36 and 40 years old, and 16.7% between 36 and 40 years old,16.7% were between 36 and 40 years of age, and finally 33.3% were over 40 years of age. Conclusion: In the present study, more than a quarter of the surveyed population presented a pattern of risky, harmful consumption or symptoms of alcohol dependence. Among the latter, the population of both sexes presented a similar pattern of problematic consumption. In relation to age, those between 20 and 25 years old, followed by those between 26 and 30 years old presented a more risky consumption. The vast majority of students with problematic or harmful alcohol consumption expressed feelings of guilt after drinking
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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 | 0.000 | 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) | 0.001 | 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".