Frequency of alcohol use among elementary school pupils at Belgrade territory
Bibliographic record
Abstract
INTRODUCTION: Alcoholism is one of the most frequent modern diseases. These kinds of epidemiological studies have not been carried out in this country at a global level. OBJECTIVE: The aim of the study was to establish the spread of alcohol abuse among the young regarding the sex, and find the connection between the alcohol abuse and the consumption of drugs and cigarettes. METHODS: The study was carried out among the elementary school pupils of the seventh and eighth grade in the area of Belgrade from October 2003 to January 2004. Total of 457 pupils were involved; 229 (50.1%) were boys and 228 (49.9%) girls, aged 12-15 years, the average age being 13.4 years. The method used was the modified questionnaire European School Survey Project on Alcohol and Other Drugs, which the pupils filled in individually, voluntarily and anonymously. Chi2-test, Student's t-test, Mann-Whitney Logistic Regression Test were used in statistical processing of the data. RESULTS: Almost 70% of the examinees have tried alcohol. Most of the examinees had the first contact with alcohol at the age of 11. Half of our examinees got drunk at least once in their life and about one fifth more than 20 times. The binge form of Consumption (five or more drinks in a row) was evident in a quarter of our examinees. Our examinees use alcohol together with other psychoactive substances, mostly marijuana. It was observed that certain types of behaviour, such as frequent going out in the evening, were directly related to the abuse of alcohol. CONCLUSION: Two thirds of the examinees have tried alcohol. The first contact with alcohol is shifted to an earlier age (11 years). New trends of alcohol abuse have been noticed, such as binge form of consumption and the connection of use with other psychoactive substances.
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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 | 0.000 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".