Participation in leisure activities in adolescents with congenital heart defects
Bibliographic record
Abstract
AIM: To describe leisure participation in adolescents with congenital heart defects (CHD) and identify factors associated with intensity of participation. METHOD: Eighty adolescents with CHD were recruited (39 males, 41 females; mean age [SD] 15y 8mo [1y 8mo] range 11y 5mo-19y 11mo) of whom 78 completed the Children's Assessment of Participation and Enjoyment (CAPE) outcome measure of leisure participation. The measure has five subscales: recreational, active-physical, social, skill-based, and self-improvement. Associations between the CAPE and age, sex, and development were examined. Motor ability (Movement Assessment Battery for Children, Second Edition), cognition (Leiter International Performance Scale-Revised), behavior (Strengths and Difficulties Questionnaire), and motivation (Dimensions of Mastery Questionnaire) were assessed. RESULTS: Participants exhibited impaired motor (43.5%), behavioral (23.7%), and cognitive (29.9%) development. The most intense participation was in social (mean [SD] 3.3 [0.99]) and recreational (2.9 [0.80]) activity types on the CAPE. Male sex (p<0.05) and younger age were associated with greater physical activity (<15y: 1.87; ≥15y: 1.31, p<0.05). Greater engagement in social activities was related to better cognition (r=0.28, p<0.05), higher motor function (r=0.30-0.36, p<0.01), and fewer behavioral difficulties (r=-0.32 to -0.47, p<0.01). Cognitive ability (r=0.27, p<0.05), dexterity and aiming/catching (r=0.27-0.33, p<0.05), and behavior problems (r=0.38-0.49, p=0.001) were correlated with physical activity participation. Persistence in tasks, an aspect of motivation, correlated with physical (r=0.45, p<0.001) and social activity involvement (r=0.28, p<0.05). INTERPRETATION: Ongoing developmental impairments in adolescents with CHD are associated with decreased active-physical and social engagement, putting them at risk of poor physical and mental health. Health promotion strategies should be considered. WHAT THIS PAPER ADDS: Adolescents with congenital heart defects (CHD) have limited engagement in active-physical leisure activities. Cognitive, motor, and behavioral impairments are associated with decreased participation in leisure in children with CHD. Female sex and older age are associated with less engagement in leisure. Mastery motivation correlates with participation, suggesting an avenue for intervention.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".