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Parent/caregiver perspectives of meaningful improvement in functional domains for people with CDKL5 deficiency disorder: a mixed-methods study

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.

Italian Version of QI-Disability for QoL Evaluation in Children and Adolescents with Intellectual Disability: Translation and Cross-Cultural Adaptation Process

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.

Aragung buraay: culture, identity and positive futures for Australian children: Dharawal language: aragung = shield for war, protection; buraay = child

Fiona Pete Stanley Azzopardi FAA FASSA MSc MD FFPHM FAFPHM FRACP FRANZCOG HonDSc HonDUniv HonFRACGP HonMD HonFRCPCH HonLLB (honoris causa) PhD, FRACP

How we measure language skills of children at scale: A call to move beyond domain-specific tests as a proxy for language

The aim of this research note is to encourage child language researchers and clinicians to give careful consideration to the use of domain-specific tests as a proxy for language; particularly in the context of large-scale studies and for the identification of language disorder in clinical practice.

The Utility of Natural Language Samples for Assessing Communication and Language in Infants Referred with Early Signs of Autism

Natural Language Sampling (NLS) offers clear potential for communication and language assessment, where other data might be difficult to interpret. We leveraged existing primary data for 18-month-olds showing early signs of autism, to examine the reliability and concurrent construct validity of NLS-derived measures coded from video-of child language, parent linguistic input, and dyadic balance of communicative interaction-against standardised assessment scores. Using Systematic Analysis of Language Transcripts (SALT) software and coding conventions, masked coders achieved good-to-excellent inter-rater agreement across all measures.

The prevalence of and potential risk factors for Developmental Language Disorder at 10 years in the Raine Study

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.

Creating Equitable Opportunities for Language and Literacy Development in Childhood and Adolescence

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.

Adolescent education outcomes and maltreatment: The role of pre-existing adversity, level of child protection involvement, and school attendance

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.

Heritability of Specific Language Impairment and Nonspecific Language Impairment at Ages 4 and 6 Years Across Phenotypes of Speech, Language, and Nonverbal Cognition

Nonverbal IQ is not on the same causal pathway as language impairments

Predicting language difficulties in middle childhood from early developmental milestones: A comparison of traditional regression and machine learning techniques

The current study provides preliminary evidence that machine learning algorithms provide equivalent predictive accuracy to traditional methods for language difficulties in middle childhood