A100: Predictors of Involvement in Leisure Activities Among Children and Youth With Juvenile Idiopathic Arthritis
Bibliographic record
Abstract
Background/Purpose: Children with juvenile idiopathic arthritis may be less involved in leisure activities compared to their healthy peers in part due to disease related factors such as pain, joint stiffness and tenderness. The main purpose of our study was to describe involvement in leisure activities, as well as to identify potential socio‐demographic, disease‐related, personal and environmental determinants. Methods: Ninety three children and youth aged 8 to 18 years diagnosed with juvenile idiopathic arthritis (JIA) and their families participated in this cross‐sectional study. Children and youth were administered the Children's Assessment of Participation and Enjoyment (CAPE), which measures involvement in leisure activities (recreation, physical, social, skill‐based, self‐improvement). The disease characteristics were abstracted from the child's medical file (JIA sub‐type, active joint count, age of diagnosis), pain perception, functional status, motivation, self‐perception and perceived social support were obtained through self‐report. Parents completed questionnaires on socio‐demographic data, as well as on family function and environmental barriers. Multiple linear regression was used for data analysis. Results: The leisure activities completed by most participants (>90%) were playing computer/video games, watching television, hanging out with friends and doing homework. Least popular activities were (h10%) martial arts, gymnastics and horseback riding. The level of enjoyment was highest for social activities (mean: 4.2+0.5). Involvement in active physical activities was negatively associated with the presence of active disease (β = −0.385, p = 0.028). However a higher level of perceived athletic competence was associated with greater intensity in active physical activities (β = 0.261, p = 0.037). Higher environmental barrier scores were negatively associated with involvement in social (β = −0.222, p = 0.023) leisure activities. Conclusion: Disease activity may dissuade children and youth from participating in more active pursuits, which places them at greater risk for adopting sedentary lifestyles. There is evidence that contextual factors (personal and environmental) influence leisure participation. The identification of determinants of leisure activities in children and youth with arthritis may allow healthcare professionals to assess children's health needs with more precision and promote a healthier lifestyle.
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 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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".