Preliminary Feasibility of a Novel Mind-Body Program to Prevent Persistent Concussion Symptoms Among Young Adults With Anxiety: Nonrandomized Open Pilot Study
Bibliographic record
Abstract
BACKGROUND: Concussions are common, particularly among young adults, and often are associated with persistent, debilitating, and hard-to-treat symptoms. Anxiety and concussion symptoms often amplify each other, and growing evidence indicates that anxiety plays a key role in symptoms persistence after concussion. Targeting anxiety early after concussion may be a promising means of helping prevent persistent concussion symptoms in this population. We developed the Toolkit for Optimal Recovery after Concussion (TOR-C), the first mind-body program tailored for young adults with a recent concussion and anxiety, aiming to prevent persistent concussion symptoms. OBJECTIVE: This study aims to conduct an open pilot of TOR-C to test preliminary feasibility, signal of change in measures, and treatment perceptions. METHODS: Five young adults (aged 18-24 years) attended 4 weekly one-on-one live video sessions with a clinician. Participants completed questionnaires measuring treatment targets (ie, pain catastrophizing, mindfulness, fear avoidance, limiting behaviors, and all-or-nothing behaviors) and outcomes (ie, postconcussive symptoms, physical function, anxiety, depression, and pain) at baseline, immediately following the intervention, and 3 months after intervention completion. At the conclusion of the program, participants attended a qualitative interview and provided feedback about the program to help optimize study content and procedures. RESULTS: Feasibility markers were excellent for credibility and expectancy (5/5, 100% of participants scored above the credibility and expectancy scale midpoint), client satisfaction (4/5, 80% of participants scored above the Client Satisfaction Questionnaire midpoint), therapist adherence (97% adherence), acceptability of treatment (5/5, 100% of participants attended 3 or more sessions), adherence to homework (87% home practice completion), and feasibility of assessments (no measures fully missing). The feasibility of recruitment was good (5/7, 71% of eligible participants agreed to participate). There were preliminary signals of improvements from pre-post comparisons in treatment targets (d=0.72-2.20) and outcomes (d=0.41-1.38), which were sustained after 3 months (d=0.38-2.74 and d=0.71-1.63 respectively). Exit interviews indicated overall positive perceptions of skills and highlighted barriers (eg, busyness) and facilitators (eg, accountability) to engagement. CONCLUSIONS: TOR-C shows preliminary feasibility, is associated with a signal of improvement in treatment targets and outcomes, and has the potential to support recovery from concussion. The quantitative findings along with the qualitative feedback obtained from the exit interviews will help optimize TOR-C in preparation for an upcoming randomized controlled trial of TOR-C versus an active control condition of health education for concussion recovery. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/25746.
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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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".