Meaningful occupations of young adults with muscular dystrophy and other neuromuscular disorders
Bibliographic record
Abstract
BACKGROUND.: Youth with Duchenne muscular dystrophy (DMD) and other neuromuscular disorders are living well into adulthood and often need help engaging in meaningful occupations. PURPOSE.: Our purpose was to explore enablers and barriers to engaging in meaningful occupations, from the perspectives of youth, parents, and practitioners. METHOD.: This qualitative study involved 26 participants (11 parents, eight youth ages 19 to 28 [mean = 22.3 years], seven practitioners). Data were obtained from semistructured interviews and analyzed using an interpretive descriptive approach. FINDINGS.: Youth with DMD and neuromuscular disorders engage in meaningful occupations in a variety of ways. Occupational enablers were supports and accommodations and self-care skills and coping strategies, while occupational barriers involved societal expectations of a normative adulthood, discrimination and inaccessible environments, lack of supports and resources, medical challenges, fatigue, lack of motivation, and social isolation and depression. IMPLICATIONS.: Practitioners should work to uncover what youth consider important and connect them to appropriate resources so they can engage in meaningful occupations.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".