Home participation and personal and environmental factors in children and adolescents with Down syndrome
Bibliographic record
Abstract
AIM: To describe current home participation (frequency, involvement) and caregiver's desire for change in home participation of children and adolescents with Down syndrome, as well as home environmental factors, and to explore the associations of personal and environmental factors with current participation and caregiver's desire for change. METHOD: Eighty-two caregivers (mean age = 45 years 10 months) of children and adolescents with Down syndrome (mean age = 10 years 7 months) were surveyed about the child's home participation and environmental factors using the Participation and Environment Measure-Children and Youth. Furthermore, children's personal and environmental factors were collected. Results are reported using descriptive analysis and correlations (Spearman's rank correlation coefficients and Mann-Whitney U test) to describe the relationship between current participation and caregiver's desire for change, with personal and environmental factors as ordinal and nominal variables respectively (p < 0.05). RESULTS: Children's participation was highest with regard to personal care management and lowest with regard to school-related activities. Most caregivers desired change in homework and household chores. Greater frequency was associated with male sex, caregiver less rigorous social distancing due to the COVID-19 pandemic, and children receiving therapies. Greater involvement was associated with younger age in children and higher environmental support. Older age in children was associated with caregiver's greater desire for change. INTERPRETATION: Personal and environmental factors correlated with participation in specific ways. Creative strategies to promote participation that consider caregiver's wishes should be undertaken.
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 | 0.000 |
| 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) | 0.002 | 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".