Understanding the experiences related to movement behaviours and health of children and youth with disabilities during the COVID-19 pandemic: A qualitative study
Bibliographic record
Abstract
The COVID-19 pandemic and its associated public health restrictions have disproportionally impacted the health of children and youth with disabilities (CYD). Contributing to poor health among CYD is the lack of healthy movement behaviours (i.e., physical activity, sedentary behaviours, and sleep) observed within this population throughout the pandemic. Understanding how the pandemic has impacted the movement behaviours and health of Canadian CYD is an important step for identifying strategies that can aid in pandemic recovery. This study explored the experiences of CYD and their families during the pandemic specifically related to CYD's movement behaviours and physical and mental health. Seven semi-structured interviews were conducted with Canadian families of CYD in March 2020 (7 mothers, Mage=44 years; 3 boys, 4 girls, Mage =10 years). Interviews were analyzed using an inductive thematic analysis. The resulting themes relating to CYD's movement behaviours and health included: (1) reduced physiotherapy opportunities (e.g., missed visits, lack of specialized equipment), (2) unoccupied time (e.g., increased time for screens), (3) parental capacity (e.g., lack of time to provide support, parental stress) and (4) shifting of routines (e.g., later bedtimes, limited social opportunities). All four of these themes were influenced by the affordances of the social and built environment within families' communities. This study provides novel contextual information regarding the experiences of CYD and their families during the pandemic which may be contributing to the decline in healthy movement behaviours and overall health. These results can help to inform strategies to overcome repercussions related to the pandemic for CYD.
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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 | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.016 | 0.011 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| 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".