Associations between meeting 24-hour movement guidelines and quality of life among children and adolescents with autism spectrum disorder
Bibliographic record
Abstract
BACKGROUND: The Canadian 24-hour movement behavior (24-HMB) guidelines suggest that a limited amount of screen time use, an adequate level of physical activity (PA), and sufficient sleep duration are beneficial for ensuring and optimizing the health and quality of life (QoL) of children and adolescents. However, this topic has yet to be examined for children and adolescents with autism spectrum disorder (ASD) specifically. The aim of this cross-sectional observational study was to examine the associations between meeting 24-HMB guidelines and several QoL-related indicators among a national sample of American children and adolescents with ASD. METHODS: Data were taken from the 2020 U.S. National Survey of Children's Health dataset. Participants (n = 956) aged 6-17 years and currently diagnosed with ASD were included. The exposure of interest was adherence to the 24-HMB guidelines. Outcomes were QoL indicators, including learning interest/curiosity, repeating grades, adaptive ability, victimization by bullying, and behavioral problems. Categorical variables were described with unweighted sample counts and weighted percentages. Age, sex, race, preterm birth status, medication, behavioral treatment, household poverty level, and the educational level of the primary caregivers were included as covariates. Odds ratio (OR) and 95% confidence interval (95%CI) were used to present the strength of association between adherence to 24-HMB guidelines and QoL-related indicators. RESULTS: Overall, 452 participants (45.34%) met 1 of the 3 recommendations, 216 (22.65%) met 2 recommendations, whereas only 39 participants (5.04%) met all 3 recommendations. Compared with meeting none of the recommendations, meeting both sleep duration and PA recommendations (OR = 3.92, 95%CI: 1.63-9.48, p < 0.001) or all 3 recommendations (OR = 2.11, 95%CI: 1.03-4.35, p = 0.04) was associated with higher odds of showing learning interest/curiosity. Meeting both screen time and PA recommendations (OR = 0.15, 95%CI: 0.04-0.61, p < 0.05) or both sleep duration and PA recommendations (OR = 0.24, 95%CI: 0.07-0.87, p < 0.05) was associated with lower odds of repeating any grades. With respect to adaptive ability, participants who met only the PA recommendation of the 24-HMB were less likely to have difficulties dressing or bathing (OR = 0.11, 95%CI: 0.02-0.66, p < 0.05) than those who did not. For participants who met all 3 recommendations (OR = 0.38, 95%CI: 0.15-0.99, p = 0.05), the odds of being victimized by bullying was lower. Participants who adhered to both sleep duration and PA recommendations were less likely to present with severe behavioral problems (OR = 0.17, 95%CI: 0.04-0.71, p < 0.05) than those who did not meet those guidelines. CONCLUSION: Significant associations were found between adhering to 24-HMB guidelines and selected QoL indicators. These findings highlight the importance of maintaining a healthy lifestyle as a key factor in promoting and preserving the QoL of children with ASD.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".