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Fiona Pete Stanley Azzopardi FAA FASSA MSc MD FFPHM FAFPHM FRACP FRANZCOG HonDSc HonDUniv HonFRACGP HonMD HonFRCPCH HonLLB (honoris causa) PhD, FRACP
Children and adolescents with Intellectual Disability experience a worse Quality-of-Life (QoL) relative to typically developing peers. Thus, QoL evaluation is important for identifying support needs and improving rehabilitation effectiveness. Nevertheless, currently in Italy there are not tools with this scope. This study aims to translate and cross-culturally adapt the Quality-of-Life Inventory-Disability into Italian.
CDKL5 deficiency disorder (CDD) is a rare developmental and epileptic encephalopathy. Greater understanding of the smallest meaningful improvements for individuals with CDD in clinical trials and practice is needed for a person-centred approach to treatment efficacy. This study explored how parent/caregivers of people with CDD understood meaningful improvements and described change for priority functional domains including communication, gross motor, fine motor, feeding.
Language development is critical for children's life chances. Promoting parent-child interactions is suggested as one mechanism to support language development in the early years. However, limited evidence exists for a causal effect of parent-child interactions on children's language development.
The majority of children acquire language effortlessly but approximately 10% of all children find it difficult especially in the early or preschool years with consequences for many aspects of their subsequent development and experience: literacy, social skills, educational qualifications, mental health and employment.
This study sought to determine the prevalence of Developmental Language Disorder (DLD) in Australian school-aged children and associated potential risk factors for DLD at 10 years.
Maltreated children are at high risk for low educational achievement, however few studies have accounted for confounding risk factors that commonly co-occur (including child, family and neighbourhood risk factors) and results have been mixed, particularly for adolescents.
Nonverbal IQ is not on the same causal pathway as language impairments
The current study provides preliminary evidence that machine learning algorithms provide equivalent predictive accuracy to traditional methods for language difficulties in middle childhood
The aim of the current study was to investigate the risk factors present at 2 years for children who showed language difficulties that persisted