Self-efficacy and Functional Disability as Barriers to Physical Activity Participation in Pediatric Multiple Sclerosis (P4.023)
Bibliographic record
Abstract
OBJECTIVE: To assess the relationship between self-efficacy, functional disability and physical activity (PA) participation in pediatric multiple sclerosis (MS). BACKGROUND: 40-70[percnt] of North American children with MS experience depression or fatigue. PA has been correlated with less fatigue and depression in adult MS. Recently, we found children with MS participated in less strenuous PA than their peers; however, barriers to PA participation are unknown. DESIGN/METHODS: 55 patients aged 8-18 were recruited from the Hospital for Sick Children (20 MS, 35 monophasic demyelination (DM)), as well as 12 healthy controls (CTL). Subjects completed a standard battery of questionnaires, including: PedsQL-MSF, CES-DC, PA Self-Efficacy Scale (PASES), and the Functional Disability Inventory. The subjects were then given an accelerometer to wear for 7 days and two additional questionnaires (the Godin Leisure Time Exercise Questionnaire (GLTEQ) and the International Physical Activity Questionnaire) regarding their PA participation. RESULTS: The MS group reported lower PA self-efficacy than DM (p=0.02) and CTL (p=0.006) and greater functional disability than CTL (p=0.02). No significant differences were found on the self-report measures of PA. The MS group performed less vigorous PA than DM (p=0.04) as measured by the accelerometer. Within the MS group, PA self-efficacy correlated with functional disability (r=0.56, p=0.006), walking PA (IPAQ; r=0.62, p=0.002), and light PA (accelerometer; r=0.61, p=0.005). Functional disability correlated with walking PA (IPAQ; r=0.66, p<0.001) and sedentary time (accelerometer; r=0.71, p<0.001). CONCLUSIONS: Children with MS report lower physical activity self-efficacy, higher perceived functional disability, and perform less vigorous PA than their peers. In addition, self-efficacy and functional disability correlate with both self-report and objective measures of physical activity levels in MS. Interventions aimed at strengthening self-efficacy and perceived functional ability may lead to improved levels of physical activity in this population. Study Supported by: National MS Society (Grant#: PP2256), Manitoba-Ontario endMS Summer Studentship Award.
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".