Examining self-reported sedentary behaviour among children and youth with physical disabilities
Bibliographic record
Abstract
A growing body of research links time spent in sedentary bahaviours (SED) with increased cardio-metabolic disease risk independent of physical activity (PA) levels. Current Canadian SED guidelines state that children and youth should reduce their recreational screen time (RST) to 2 hours daily. Limited research has quantified RST among children and youth with physical disabilites.Therefore, the current study examined self-reported RST among children and youth with physical disabilities living in the Greater Toronto Area. This project is part of a larger, cross-sectional study examining PA and SED within this population. The COMPASS (Leatherdale et al., 2014) SED questionnaire was administered (face-to-face or via mail) to eligible participants across a variety of recreational and rehabilitation organizations. Participants were recruited to recall (in minutes) the time spent in a range of SED (i.e., RST [watching television, texting, playing computer games, surfing the internet] and other SED [doing homework]) over the previous 24-hour period. Mean daily minutes spent in RST was calculated. Overall, 34 participants (Mage = 15.34 ± 3.2 yrs) completed the survey, with the majority (62%) of participants being male, and wheelchair users (47%). Most (91%) participants engaged in over 2 hours per day of RST, with an average of 6.2 hours/day. The majority of time (2 hours/day) was spent watching television. These preliminary findings demonstrate that children and youth with physical disabilities are exceeding the current SED guidelines. Further research is warranted to include objective measures of SED within this population. This will be important for examining relationships between engagement in SED and health, and to inform future intervention work.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".