Associations between meeting 24-hour movement guidelines and quality of life among children and adolescents with autism spectrum disorder
Notice bibliographique
Résumé
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.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».