Use this URL to cite or link to this record in EThOS:
Title: An investigation of language and communication, from infancy to middle-childhood, in children at high familial risk for Autism Spectrum Disorder (ASD)
Author: Delmonte, Sonja Charlotte
ISNI:       0000 0004 6349 3527
Awarding Body: King's College London
Current Institution: King's College London (University of London)
Date of Award: 2016
Availability of Full Text:
Access from EThOS:
Access from Institution:
Atypical language development has been well documented in autism spectrum disorder (ASD) and may also form part of the broader phenotype. The principle aim of this review is to systematically examine the early predictors of language development in ASD and those at familial risk of developing ASD. In addition, it aims to examine whether early markers of language development are the same or different for those with ASD/familial risk and typically developing controls, and to examine the point in development at which markers emerge. PsychINFO, PsychArticles, Medline, Embase and Web of Science databases were searched systematically in line with PRISMA guidelines. Studies were included if they were a prospective longitudinal design and reported potential predictors of language outcomes in ASD and at risk populations at ≤3 years of age. Results from 37 papers, meeting inclusion criteria, were synthesised. Aspects of social attention, attention to and processing of speech, gesture use, responding to and eliciting interaction, motor skills and imitation predicted language outcome. There was no evidence that infant affect predicted language outcomes. Studies did not report the longitudinal association between neurocognitive abilities such as executive function and language outcomes. The results highlighted the need for future studies to examine causal mechanisms in order to uncover the origin of language impairment in ASD and also indicated a number of potential targets for early intervention in those at risk of the disorder. Intervention studies, as well as multi-level and multi-time point techniques, may elucidate causal mechanisms in future work.
Supervisor: Charman, Tony ; Gliga, Teodora Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available