The relationship between dispositional mindfulness and psychological, cognitive, and functional outcomes following mild traumatic brain injury
Bibliographic record
Abstract
Background: Most individuals who sustain a mild uncomplicated Traumatic Brain Injury (mTBI) recover within 1–3 months. However, a significant proportion consistently report ongoing cognitive, psychological, and somatic sequelae, which can be functionally disabling and hinder active participation in society following injury. The present study examined dispositional mindfulness as a targetable protective factor as it pertains to psychological, cognitive, and functional outcomes in the post-acute stage of mTBI. Method. In this cross-sectional study, 45 litigating individuals with persistent symptoms in the post-acute stage following mTBI completed a comprehensive neuropsychological assessment, which included current and retrospective pre-injury ratings of the Five-Facet Mindfulness Questionnaire. Results. Mindfulness was significantly associated with depression and anxiety but not with objective cognitive performance on measures of attention or working memory. Lower mindfulness was observed in individuals who had returned to work following injury compared to those who had not, specifically in the Observing and Describing facets. Pre-injury mindfulness significantly predicted scores on the Psychiatric Impairment Rating Scale, with higher Observing scores predicting worse functioning. Future research employing experimental and longitudinal designs can further elucidate these relationships.
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.
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 | 0.001 | 0.004 |
| 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) | 0.001 | 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 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".