Association Between Quality of Cheap and Unrecorded Alcohol Products and Public Health Consequences in Poland
Bibliographic record
Abstract
BACKGROUND: The research aimed to study the quality of cheap alcohol products in Poland. These included unrecorded alcohols (i.e., home-produced or illegally imported), estimated to constitute more than 25% of total consumption and fruit wines. METHODS: A sample of alcohol products (n = 52) was collected from local markets and chemical analyses were conducted. The parameters studied were alcoholic strength, volatiles (methanol, acetaldehyde, and higher alcohols), ethyl carbamate, inorganic elements, and food additives including preservatives, colors, and sweeteners. The compositions of the beverages were then toxicologically evaluated using international standards. RESULTS: With the exception of 1 fortified wine, the unrecorded alcohols were home-produced fruit-derived spirits (moonshine) and spirits imported from other countries. We did not detect any nonbeverage surrogate alcohol. The unrecorded spirits contained, on average, 45% vol of alcohol. However, some products with considerably higher alcoholic strengths were found (up to 85% vol) with no labeling of the content on the bottles. These products may cause more pronounced detrimental health effects (e.g., liver cirrhosis, injuries, some forms of malignant neoplasms, alcohol use disorders, and cardiovascular disease) than will commercial beverages, especially as the consumer may be unaware of the alcohol content consumed. Fruit wines containing between 9.5 and 12.2% vol alcohol showed problems in terms of their additive content and their labeling (e.g., sulfites, sorbic acid, saccharin, and artificial colors) and should be subjected to stricter control. Regarding the other components investigated, the suspected human carcinogens, acetaldehyde and ethyl carbamate, were found at levels relevant to public health concerns. While acetaldehyde is a typical constituent of fermented beverages, ethyl carbamate was found only in home-produced unrecorded alcohols derived from stone fruits with levels significantly above international guidelines. CONCLUSIONS: The contamination of unrecorded alcohols with ethyl carbamate should be analyzed in a larger sample that also should include legal alcoholic beverages. Furthermore, the impacts of unrecorded alcohol on the health of people with lower socioeconomic status should be studied in detail. Overall, given the extent of the alcohol-attributable disease burden in Poland, the highest priority should be given to the problem of ethanol and its very high content in unrecorded alcohol products.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".