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Research on the health literacy of parents with children with intellectual disability is limited. Understanding parents' healthcare skills and needs is essential for improving children's health and developing effective support. In this study we aimed to (1) explore the health literacy skills of parents that enabled them to support the health needs of their child with intellectual disability and the factors influencing these skills, and (2) identify opportunities to support parent health literacy.
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.
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.
Research from large population-based studies investigating the language and academic outcomes for bilingual children is rare. The current study aimed to investigate the influence of dual language exposure on (i) English vocabulary outcomes at 5 years (126 bilinguals, 1675 monolinguals), and 10 years (vocabulary: 92 bilinguals, 1413 monolinguals:), and (ii) academic outcomes at 10 years (107 bilinguals, 1746 monolinguals).
This unprecedented longitudinal twin study focused on the arc of language acquisition from first words to adolescence, with data collection at 2, 4, and 6 years of age, reported in four previous studies and now new data at ages 9 and 14 years.
Speech and language therapists' (SLT) practice with cultural and linguistic diverse (CALD) populations with acquired and congenital neurogenic communication disorders in Denmark and Sweden is becoming more urgent due to demographic changes.
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