Effects of a Whole-body General Movement Intervention on Functional Muscle Strength of Children With Autism Spectrum Disorder: Results From a Comparison of Face-to-face Versus Telehealth-Based Intervention Delivery
Notice bibliographique
Résumé
Background Children with autism spectrum disorder (ASD) demonstrate impairments in postural strength and control, both of which are important for activities of daily living. With the onset of the COVID-19 pandemic, more focus has been placed on telehealth interventions. Objective Our randomized controlled trial assessed the effects of a general movement (GM) intervention compared to a standard-of-care seated play (SP) intervention delivered via face-to-face (F2F) and telehealth (TH)-based modes of intervention delivery in children with ASD. Methods Thirty 5- to 14-year-old children were matched at baseline and randomly assigned to the GM or SP groups. Children participated in a 10-week study with pretests and posttests conducted during the first and last weeks and training in the intermediate 8 weeks (2 sessions/week at 1.5 hours/session). The strength subtest of the Bruininks-Oseretsky Test of Motor Proficiency (BOT-2) and a custom-developed functional strength test were administered at pretest and posttest. In addition, we assessed functional strength using 15 upper and lower body exercises that were administered during early and late training sessions. All strength tests were coded for errors in movement form and movement quality during execution. Results On the BOT-2, the GM group (pretest: mean 8.3, SE 1.1; posttest: mean 10.31, SE 1.3; P=.007) but not the SP group showed improvements in scaled scores on the strength subtest. There were no differences in the amount of change for children seen F2F versus TH in the GM group (F2F: mean 2.3, SE 0.8; TH: mean 1.8, SE 0.9; P=.70). In the GM group, 77% of participants showed improvement in front raises and 50% improved on both sumo squats and donkey kicks. Of the 15 upper and lower body functional strength exercises performed, 7 provided significant results at a significance level of P=.05. For the upper body, these included back row (early: mean 81.3, SE 4.6; late: mean 57.0, SE 7.8; P=.01), spread your wings (early: mean 55.5, SE 6.0; late: mean 32.1, SE 5.4; P=.008), press ups (early: mean 72.1, SE 5.3; late: mean 46.8, SE 8.0; P=.01), and superman reach (early: mean 74.4, SE 2.8; late: mean 58.9, SE 6.8; P=.009). For the lower body, these included donkey kicks (early: mean 69.2, SE 2.9; late: mean 40.2, SE 6.0; P<.001), do-a-dot (early: mean 77.4, SE 3.3; late: mean 56.3, SE 6.3; P=.008), and superman kick (early: mean 71.9, SE 2.9; late: mean 49.8, SE 6.8; P=.008). Across all 7 moves, a comparable or higher proportion of children seen via TH showed improvement in movement performance scores compared to children seen F2F. For 6 of 7 movements, the mean reduction in percent movement performance errors (early vs late) was greater for children seen via TH compared to children seen via F2F. In addition, for superman kick (sk), donkey kick (dk), press ups (pu), and superman reach (sr) exercises, a higher proportion of children seen via TH compared to F2F improved movement performance error scores with training (sk: 80% TH vs 50% F2F; dk: 90% TH vs 60% F2F; pu: 100% TH vs 50% F2F; sr: 90% TH vs 25% F2F). Conclusions Although preliminary, our data suggest that TH is an effective mode of delivery of gross motor interventions and can be used to promote functional upper and lower body muscle strength in children with ASD.
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Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, pas un consensus.
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