The Formula for Health and Well-Being in Individuals With Cerebral Palsy: Cross-Sectional Data on Physical Activity, Sleep, and Nutrition
Bibliographic record
Abstract
OBJECTIVE: To determine physical activity, sleep, and nutrition patterns in individuals with cerebral palsy (CP) and investigate the association of Gross Motor Function Classification System (GMFCS) and age with these health behaviors. METHODS: A cross-sectional study was conducted in an outpatient setting. Participants included adolescents and adults with CP (n=28; GMFCS level I-V; mean age 35.1±14.4 years). An Exercise Questionnaire or Leisure Time Physical Activity Questionnaire was used to measure physical activity in adolescents and adults, respectively. Sleep quality was measured using the Pittsburgh Sleep Quality Index (PSQI). An adapted version of the PrimeScreen questionnaire was used to assess nutrition. Linear regression analyses were performed to investigate the association between GMFCS and age with physical activity, sleep, and nutrition. RESULTS: The average total physical activity was 29.2±30.0 min/day. Seventy-five percent of the participants had poor sleep quality (PSQI score >5). Seventy-one percent reported "fair" eating behaviors; none reported "excellent" eating behaviors. Neither GMFCS nor age were significantly associated with PSQI score, PrimeScreen score, or total physical activity. A negative correlation existed between sleep quantity (hr/night) and PSQI score (r=-0.66, p=0.01). CONCLUSION: The triad of health components, consisting of physical activity, sleep, and nutrition, was not associated with GMFCS or age in our sample of 28 individuals with CP, suggesting that these three health behaviors should be assessed during clinical encounters of CP in adolescents and adults at all levels of the GMFCS.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".