1494 – Mindfulness-based Cognitive Therapy Reduces Depression Symptoms In People Who Have a Traumatic Brain Injury: Results From a Randomized Controlled Trial
Bibliographic record
Abstract
Introduction Traumatic brain injuries (TBI) may lead to persistent depression symptoms. We conducted several pilot studies to examine the efficacy of mindfulness-based interventions to deal with this issue; all showed strong effect sizes. The logical next step was to conduct a randomized controlled trial (RCT). Objective We sought to determine the efficacy of mindfulness-based cognitive therapy for people with depression symptoms post-TBI (MBCT-TBI). Methods Using a multi-site RCT design, participants (mean age = 47) were randomized to intervention or control arms. Treatment participants received a group-based, 10-week intervention; control participants waited. Outcome measures, administered pre- and post-intervention, and after three months, included: Beck Depression Inventory-II (BDI-II), Patient Health Questionnaire-9 (PHQ-9), and Symptom Checklist-90-Revised (SCL-90-R). The Philadelphia Mindfulness Scale (PHLMS) captured present moment awareness and acceptance. Results BDI-II scores decreased from 25.47 to 18.84 in treatment groups while they stayed relatively stable in control groups (respectively 27.13 to 25.00; p = .029). We did not find statistically significant differences on the PHQ-9 and SCL-90R post- treatment. However, after three months, all scores were statistically significantly lower than at baseline (ps < .01). Increases in mindfulness were associated with decreases in BDI-II scores (r[29] = -.401, p = .025). Conclusions MBCT-TBI may alleviate depression symptoms up to three months post-intervention. Greater mindfulness may have contributed to the reduction in depression symptoms although the association does not confirm causality. More work is required to replicate these findings, identify subgroups that may better respond to the intervention, and refine the intervention to maximize its effectiveness.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".