Leg Movement Rate before and after a Caregiver-Provided Intervention for Infants at Risk of Developmental Disability: A Pilot Study.

AIM: Our purpose was to assess daily leg movement rate before and after a caregiver-provided in-home intervention for infants at risk for developmental disability. We also assessed adherence and quality of caregiver-child interaction. METHODS: Twelve infants, at risk for developmental disabilities, and their caregivers participated in an intervention focused on increasing leg movements. Intervention started between 3- and 6-months corrected age and ended once the infant was able to sit independently or at 9 months corrected age, whichever occurred first. Infants were assessed monthly. RESULTS: Infants at risk for developmental disabilities who were moving less than 1200 leg movements per hour awake at the start of the intervention increased their daily leg movement rate following the intervention (Median [range]: pre-1047 [506-1056], post- 1104 [655-1359], p = 0.040). Additionally, the caregivers had a high adherence (Median: 89%, Range: 11.43%-329.17%) and good quality of caregiver-child interaction (Median NCAST total: 46, Range: 34-59); and maintained similar amounts of adherence (p = 0.575) and quality of caregiver-child interaction (p = 0.432) throughout the intervention. CONCLUSION: This study provides preliminary evidence that leg movement rate has the potential to be used as an outcome measure to assess an infant's progress and motor practice during an intervention.

Collecting Infant Environmental and Experiential Data Using Smartphone Surveys.

We propose that the collection of infant experiential and environmental data using smartphone surveys has the potential to fill a gap in foundational and clinical knowledge. To achieve this, these data need to be collected in a systematic way that is translatable globally. We can then begin to understand differences in child development and physical therapy from a variety of cultures and traditions. An infant's development is shaped by experiences in everyday life, and everyday experiences vary around the world. Hence, it is important to quantify these experiences to better understand variability in developmental trajectories. Recent increase in smartphone access has made the capability of collecting infant experiential data more feasible around the world. We provide examples and suggestions for ways in which experiential and environmental data can be collected for future practice.

sEMG Analysis During Landing in Children With Autism Spectrum Disorder: A Pilot Study.

PURPOSE: The aim was to explore the timing and duration of muscle activation during a landing task in children with autism spectrum disorder (ASD), and compare their responses to those of children who are developing typically (TD). METHODS: Six children (ages 3-4.5 years), half with ASD, hung from a vertical bar, landed, and reacted to a light cue that signaled the child to run to the right or left or to stay in place. Electromyography and kinematics were recorded and compared between groups. RESULTS: Children with ASD had more and longer bursts of muscle activation during preimpact. In contrast, children TD displayed more and longer burst of muscle activation during impact. CONCLUSION: The results suggest that children with ASD have a less developed landing strategy compared with their peers TD. Further investigation into the neuromuscular components in children with ASD will guide future interventions for this population.