Continuation Sessions of Mindfulness‐Based Cognitive Therapy (MBCT‐C) vs. Treatment as Usual in Late‐Life Depression and Anxiety: An Open‐Label Extension Study
Bibliographic record
Abstract
OBJECTIVES: Mindfulness-based cognitive therapy (MBCT) is a novel treatment for depression. Our published randomized controlled trial shows that MBCT improves symptoms of late-life depression (LLD) and anxiety (LLA). We now examine whether continuation sessions of MBCT (MBCT-C) can prevent LLD/LLA symptom recurrence. METHODS/DESIGN: Following an 8-week MBCT intervention, we compared patients who attended open-label weekly 1-hour MBCT-C for another 26 weeks (n = 10) vs those who did not (n = 17) for change in depressive and anxiety symptoms. RESULTS: While there were no significant differences between groups on depressive or anxiety symptom severities between 8- and 34- weeks (Cohen's d = 0.045), we observed a small clinical effect of MBCT-C on symptoms of anxiety (d = 0.29). CONCLUSIONS: These preliminary results suggest that MBCT-C may be somewhat beneficial for symptoms of LLA, but not for LLD. Healthcare providers should consider what is clinically feasible before investing time and resources into MBCT-C in older adults with depression and/or anxiety.
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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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".