The relationship between alcohol intake and falls hospitalization: Results from the <scp>EPIC‐Norfolk</scp>
Bibliographic record
Abstract
AIM: To evaluate the relationship between habitual alcohol consumption and the risk of falls hospitalization. METHODS: The EPIC-Norfolk is a prospective population-based cohort study in Norfolk, UK. In total, 25 637 community dwelling adults aged 40-79 years were recruited. Units of alcohol consumed per week were measured using a validated Food Frequency Questionnaire. The main outcome was the first hospital admission following a fall. RESULTS: Over a median follow-up period of 11.5 years (299 211 total person years), the cumulative incidence function (95% confidence interval) of hospitalized falls at 121-180 months for non-users, light (>0 to ≤7 units/week), moderate (>7 to ≤28 units/week) and heavy (>28 units/week) were 11.08 (9.94-12.35), 7.53 (7.02-8.08), 5.91 (5.29-6.59) and 8.20 (6.35-10.56), respectively. Moderate alcohol consumption was independently associated with a reduced risk of falls hospitalization after adjustment for most major confounders (hazard ratio = 0.88; 95% confidence interval 0.79-0.99). The relationship between light alcohol consumption and falls hospitalization was attenuated by gender differences. Alcohol intake higher than the recommended threshold of 28 units/week was associated with an increased risk of falls hospitalization (hazard ratio 1.40 [1.14-1.73]). CONCLUSIONS: Moderate alcohol consumption appears to be associated with a reduced risk of falls hospitalization, and intake above the recommended limit is associated with an increased risk. This provides incentive to limit alcohol consumption within the recommended range and has important implications for public health policies for aging populations. Geriatr Gerontol Int 2021; 21: 657-663.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".