The impact of lifetime excessive alcohol use on behavioural and psychological symptoms of dementia
Bibliographic record
Abstract
INTRODUCTION: Excessive alcohol use (EAU) elevates the risk of dementia through various mechanisms, yet its impact on the behavioural and psychological symptoms of dementia (BPSDs) remains uncertain. METHODS: In this exploratory cross-sectional analysis of baseline data from the Standardizing Care for Neuropsychiatric Symptoms and Quality of Life in Dementia (StaN) study (ClinicalTrials.gov/NCT03672201), we included individuals with Alzheimer's disease and related dementias requiring BPSD treatment. We compared demographic characteristics and presentation of BPSDs (using the total and domain scores on the Neuropsychiatric Inventory-Clinician) in those with and without a lifetime history of EAU. RESULTS: Among 193 participants [mean (SD) age: 80.6 (9.7) years, male: 48.4%], those in the EAU group (n = 17) and in the comparator group (n = 176) had severe and comparable cognitive impairment, with a median Functional Assessment Staging Tool for Dementia score of 6e. Participants with EAU were significantly younger than comparators [mean age (SD): 72.9 (7.1) years vs. 81.4 (9.5) years] (t = -3.678, df = 181, P < .001), and were more frequently male (76.5% [13 of 17] vs. 46.6% [82 of 176]; P = .036). In a sensitivity analysis, there were no differences in the Neuropsychiatric Inventory-Clinician total or individual domain scores between those with EAU and a subsample of those without EAU matched for age, sex, and recruitment site. CONCLUSION: This exploratory study found that among individuals with Alzheimer's disease and related dementias and BPSDs, lifetime history of EAU is more frequent in younger males. Future studies may further examine the impact of EAU in individuals with BPSDs.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".