Alcohol Addiction and Cognitive Function among Café Visitors at South Jakarta
Bibliographic record
Abstract
Background: Alcohol addiction has an acute and chronic impact, and may cause cognitive function impairment, in the form of interference in decision making and impulse control, as well as impaired motor function. Furthermore, research on alcohol addiction and cognitive function has not been widely studied in Indonesia. The purpose of this study was to explore the association between alcohol addiction and cognitive function among café visitors at South Jakarta. Methods: This was a cross sectional study, conducted among cafévisitors at South Jakarta in 2018. The respondents of this study were individuals who have consumed alcohol in the last 12 months and not consumed narcotics, psychotropic, and other addictive substances except nicotine and caffeine. Alcohol addiction among respondent was assessed by the CAGE questionnaire and cognitive function was assessed by the MoCA-Ina questionnaire. Statistical analysis was determined by Chi Square test.Results: In total, 80 respondents consisting of 57 men and 23 women met the study criteria, 67.5% of respondents have experienced alcohol addiction and 85.2% have experienced poor cognitive function. There was a strong association between alcohol addiction and cognitive function among café visitors (p=0.000; OR=44.083).Conclusions: Individual with alcohol addiction has a poor cognitive function compared with people without alcohol addiction. Therefore, awareness of the adverse effects of alcohol addiction on cognitive function among community is needed and thus, people are expected to distance from alcohol addiction.
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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) | 0.004 | 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".