ALCOHOL SELF-MEDICATION AMONG MIDDLE-AGED AND OLDER ADULTS
Bibliographic record
Abstract
Middle-aged and older adults use alcohol for various reasons, including to self-medicate. Self-medication is the use of alcohol or other substances to relieve discomforting physical/mental health symptoms or to cope with negative affect. Understanding the reasons why middle-aged and older adults use alcohol and providing alternatives to alcohol are important steps toward reducing the morbidity of alcohol use disorders in this population. The goals of this presentation are to review: the prevalence of self-medication with alcohol among adults in mid- and late-life; reasons for self-medication with alcohol; and potential outcomes of self-medication with alcohol in later life. We propose a conceptual model to help synthesize the literature and aid in hypothesis development and testing. We then review measurement issues, including how to identify middle-aged and older adults who may be self-medicating with alcohol, and discuss treatment and prevention opportunities. This presentation concludes by highlighting avenues for future research.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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".