Pilot evaluation of a mindfulness-based intervention to improve quality of life among individuals who sustained traumatic brain injuries
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PRIMARY OBJECTIVE: To examine the potential efficacy of a mindfulness-based stress reduction approach to improve quality of life in individuals who have suffered traumatic brain injuries. RESEARCH DESIGN: Pre-post design with drop-outs as controls. METHODS AND PROCEDURES: We recruited individuals with mild to moderate brain injuries, at least 1 year post-injury. We measured their quality of life, psychological status, and function. Results of 10 participants who completed the programme were compared to three drop-outs with complete data. EXPERIMENTAL INTERVENTION: The intervention was delivered in 12-weekly group sessions. The intervention relied on insight meditation, breathing exercises, guided visualization, and group discussion. We aimed to encourage a new way of thinking about disability and life to bring a sense of acceptance, allowing participants to move beyond limiting beliefs. MAIN OUTCOMES AND RESULTS: The treatment group mean quality of life (SF-36) improved by 15.40 (SD = 9.08) compared to - 1.67 (SD = 16.65; p = 0.036) for controls. Improvements on the cognitive-affective domain of the Beck Depression Inventory II (BDI-II) were reported (p = 0.029), while changes in the overall BDI-II (p = 0.059) and the Positive Symptom Distress Inventory of the SCL-90R (p = 0.054) approached statistical significance. CONCLUSIONS: The intervention was simple, and improved quality of life after other treatment avenues for these participants were exhausted.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.015 | 0.057 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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 it