Long-term effects of benzodiazepine discontinuation among older adults: potential improvements on depressive symptoms
Bibliographic record
Abstract
OBJECTIVES: To examine how change in benzodiazepine (BZD) use is linked to changes in depressive symptoms intensity, worry intensity, and sleep quality over 16 months. METHOD: Data come from a larger randomised controlled trial (RCT) named the 'Programme d'Aide du Succès au SEvrage (PASSE-60+)' study (NCT02281175). Seventy-three participants age 60 years and older took part in a 4-month discontinuation programme and were assessed four times over 16 months. Change in BZD use was defined as the difference in reported mg/day between two assessments. Control variables were RCT discontinuation group; BZD use at T1; and either depressive symptoms, worry intensity, or sleep quality at T1. Hierarchical multiple regressions were used to analyse data. RESULTS: In the short term, right after the discontinuation programme, sleep quality worsened with lower BZD use. This link was no longer significant at the 3- and 12-month follow-up. In the long term, depressive symptoms lowered with lower BZD use. No change was found in worry intensity in relation to BZD use at all measurement times. CONCLUSION: Discontinuation may improve depressive symptoms. Our study also questions the long-term effectiveness of BZD use, since long-term discontinuation was not linked with change in worry intensity and sleep quality.
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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) | 0.000 | 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".