Surveying the Landscape of Persistent Concussive Symptoms in Adults Through an Occupational Lens
Bibliographic record
Abstract
IMPORTANCE: Little is known about how and to what extent persistent concussive symptoms affect occupational performance in adults. OBJECTIVE: To evaluate the impact of persistent postconcussive symptoms on occupational performance. DESIGN: A cross-sectional study design was used in which the occupational performance needs of adults with persistent concussion symptoms were identified by a trained occupational therapist via semistructured interview. SETTING: University research space. PARTICIPANTS: Adults ages 18 to 60 yr experiencing persistent concussion symptoms. OUTCOMES AND MEASURES: Occupational performance was evaluated using the Canadian Occupational Performance Measure. Data were then categorized by two researchers using the Occupational Therapy Practice Framework: Domain and Process (4th ed.). RESULTS: The most commonly affected occupational performance areas included education and work, social participation, and performance of instrumental activities of daily living. CONCLUSIONS AND RELEVANCE: Aligning with prior knowledge of the impact of psychosocial difficulties and higher order cognitive deficits on daily life, performance of complex occupations is heavily affected in adults with persistent concussive symptoms. Plain-Language Summary: The functional impact of symptoms that adults experience postconcussion becomes apparent as they return to their life occupations. The results of this study showed that adults with persistent concussive symptoms more commonly experienced occupational challenges with participation in education, social activities, and the performance of instrumental activities of daily living, with subtle, important variations in symptoms across adults. Detailed, client-centered evaluation of occupational performance changes postconcussion is an area of potential growth for occupational therapy practice and research.
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".