Sleep and physical activity: the experiences of adults with cerebral palsy and recommendations for clinical practice
Bibliographic record
Abstract
PURPOSE: Adults with cerebral palsy (CP) face challenges maintaining physical activity and good sleep. This study explores their experiences and describes factors influencing sleep and physical activity. METHODS: We conducted semi-structured interviews with fourteen adults aged 23 to 58, of whom thirteen were ambulant. Participants were recruited via the Dutch patient organization for individuals with CP. Data were analyzed using inductive qualitative content analysis. RESULTS: Three main themes emerged: balancing energy, rest and activity, and separate themes on sleep and physical activity. Balancing energy, rest and activity included subthemes of managing personal resources, interaction between sleep and physical activity, and presence of appropriate support and resources. Maintaining a healthy 24-h balance was crucial, yet participants often struggled achieving this balance and finding appropriate support. Experiences with sleep and physical activity were categorized into mental, physical, and environmental subthemes, which are closely interconnected. CONCLUSIONS: People with CP have difficulties with sleep, physical activity, and maintaining a healthy 24-h balance. Despite their motivation to maintain well-being, they often lack adequate support. Addressing these issues holistically can improve care and support for adults with CP. Youth rehabilitation services play a critical role in preparing adolescents with CP for adulthood by fostering self-management skills.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".