Implications of Disability Severity on 24-Hour Movement Guideline Adherence Among Children With Neurodevelopmental Disorders in the United States
Bibliographic record
Abstract
BACKGROUND: Research has established beneficial associations between 24-hour movement guideline adherence and several health outcomes in typically developing (TD) children, but these relationships are poorly understood in children with neurodevelopmental disorders (NDD). This study examined (1) 24-hour movement guideline adherence, (2) the influence of disability severity, and (3) associations between guideline adherence and health outcomes of TD children and children with NDD. METHODS: This cross-sectional study used data from the 2018 and 2019 cycles of the US National Survey of Children's Health. Parental/caregiver reports of movement behaviors (physical activity, screen time, and sleep), disability severity (limitations to daily activities), and health outcomes (general health status, anxiety, and depression) were provided for 8554 children with NDD and 19,669 TD children aged 6-17 years. RESULTS: Children with NDD had significantly lower odds of meeting each movement behavior guideline compared to TD children; these effects were most pronounced for those who experienced consistent limitations to daily activities. Meeting at least 2 guidelines significantly lowered the odds for anxiety and depression, and increased the odds for better general health for children with NDD. DISCUSSION: These findings suggest that degree of disability severity has a strong influence on adherence to 24-hour movement guidelines among children with NDD.
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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".