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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.002 |
| 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".