Effects of a Whole-Body General Movement Intervention on Motor Performance, Agility, and Locomotor Skills of Children With Autism Spectrum Disorder: Results From a Comparison Between Face-to-face and Telehealth-Based Intervention Delivery
Notice bibliographique
Résumé
Background Children with autism spectrum disorder (ASD) demonstrate significant motor impairments in visuomotor and body coordination, agility, and strength. Around 87% of children with ASD are at risk for motor impairments. However, only about 31% of these children receive rehabilitation services to address their motor needs. Objective Our randomized clinical trial assessed the effects of a general movement (GM) intervention compared to a standard-of-care seated play (SP) intervention delivered to children via face-to-face (F2F) and telehealth (TH)–based modes of intervention delivery on motor performance, agility, and locomotor skills in children with ASD. Methods Thirty 5- to 14-year-old children were matched on age, gender, and level of functioning and randomly assigned to the GM or SP groups. Children participated in the study for 10 weeks with pretests and posttests conducted during the first and last weeks and training in the interim 8 weeks with 2 sessions conducted per week. The strength and running speed and agility subtests of Bruininks-Oseretsky Test of Motor Proficiency (BOT-2) and the locomotor subtest of the Test of Gross-motor development (TGMD) were administered at pretest and posttest. In addition, in the GM group, task-specific games involving locomotor skills were assessed during early and late training sessions for changes in movement form or accuracy and the amount of prompting required to complete the actions. Results We found significant improvements in standard scores of the TGMD from pretest to posttest in the GM group (pretest mean 6.1, SE 1.0; posttest mean 8.1, SE 0.9; P<.001) but not the SP group. Within the GM group, there were no significant differences in the rates of improvement for children seen F2F versus via TH (F2F mean 1.8, SE 0.8; TH mean 2.0, SE 1.7; P=.87). On the BOT-2, the GM (pretest mean 36.1, SE 2.6; posttest mean 40.9, SE 3.1; P<.001) but not SP group showed improvements in standard scores on the strength and agility composite. Similar to the trends reported above, there were no differences in the magnitude of improvement for children seen F2F versus via TH (F2F mean 3.7, SD 1.3; TH mean 5.6, SD 1.5; P=.37). On the training-specific test of locomotor skills, children in the GM group improved their movement accuracy (pretest mean 74.4, SE 6.2; posttest mean 86.5, SE 4.7; P<.001) and reduced prompting (pretest mean 22.5, SE 3.5; posttest mean 16.9, SE 4.2; P=.02) required to complete the movements. Both children seen F2F as well as via TH showed similar trends, with no significant differences between the intervention delivery modes. Conclusions Our data suggest that TH is an effective mode of delivery of gross motor interventions and can be used to promote agility and motor coordination in children with ASD. Conflicts of Interest None declared.
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 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 ».