Healthy lifestyle intervention impacts on cognition and habits for individuals with traumatic brain injury: Secondary analysis of a randomized controlled trial
Bibliographic record
Abstract
To examine the impact of a healthy lifestyle intervention adapted for survivors of traumatic brain injury (TBI) classified as overweight or obese on cognition and habits. Setting is community-based intervention. Participants (n = 57) were adult survivors of moderate or severe TBI at least 6-month post-injury with a body mass index of ≥25 kg/m2. We conducted secondary analysis of a 12-month randomized controlled trial of a healthy lifestyle intervention (GLB-TBI) compared to an attention control group (BHG); primary study analyses previously demonstrated statistically and clinically significant weight loss of 7.9%, enhanced blood pressure, improved lipids, and good attendance and self-monitoring. Primary outcomes included the Montreal Cognitive Assessment and the Self-Report Habit Index. Average cognitive function for the GLB-TBI group significantly improved, whereas the average score for BHG decreased (β = 1.8 [0.29, 3.31]; p = 0.02). There were no significant differences in perceived habit strength. Although both groups perceived improvement in healthy habits, only the GLB-TBI group focused on evidence-based dietary and physical activity changes, resulted in improved cognitive function. Healthcare providers should consider referrals for healthy lifestyle interventions for survivors of brain injury who are overweight/obese, particularly for those experiencing sustained cognitive deficits.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.005 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".