Mental Health for Older Adults and Benzodiazpine Use
Bibliographic record
Abstract
Benzodiazepine (BZD) drug use among community-dwelling seniors is a significant health issue. Although long-term use of BZDs by seniors is a recognized problem, little is known about the mental health of the consumers. Better knowledge of their mental health would help nurses in identifying the psychological needs of this population. The goals of this longitudinal study1 (n = 138) were to describe the mental health status of long-term users of BZDs and to compare it with the mental health of seniors who have either begun or stopped consuming BZDs over a 1-year period (from Phase 1 to Phase 2). Results showed that one third of long-term users of BZDs do not present any mental health problem. Furthermore, no differences were observed between the mental health statuses of new users of BZDs, individuals who stopped using BZDs, and long-term users of BZDs. In conclusion, at least one third of long-term users of BZDs should stop using these drugs, and nurses should play a leading role in helping these seniors withdraw from BZD consumption.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".