Relation between Healthy Drinking Habits and Metabolic Syndrome
Bibliographic record
Abstract
Methods: This study examined drinking habits and metabolic syndrome in 6,713 healthy adults who took a medical health examination in 2014. We divided participants into two groups, and patients were classified as ‘non-drinkers’ or ‘healthy drinkers’ according to Canada’s low-risk drinking guidelines. The relationship between drinking habits and metabolic syndrome was assessed by performing cross-sectional analysis. Results: In men, high density lipoprotein (HDL) cholesterol was significantly higher and the odds ratio of metabolic syndrome was lower in the ‘healthy drinkers’ group (P 0.05). In women, healthy drinkers exhibited lower blood pressure, body mass index (BMI), fasting glucose, LDL cholesterol, triglyceride, and total cholesterol levels, as well as better liver function test values, a lower prevalence of metabolic syndrome, and a lower odds ratio of metabolic syndrome. Conclusion: We verified that healthy drinking habits are related to lower levels of BMI, dyslipidemia, blood pressure, HDL cholesterol, and a lower odds ratio of metabolic syndrome. Additional studies are needed to confirm these results.
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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) | 0.002 | 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".