Edith L. Bavin

Through a cross-sectional community study of 2044 children aged 2 years, we (1) examine the impact of hearing loss on early spoken expressive vocabulary outcomes and (2) investigate how early intervention-related factors impact expressive vocabulary outcomes in children with hearing loss predominantly identified through universal newborn hearing screening. We used validated parent/caregiver-reported checklists from two longitudinal cohorts (302 children with unilateral or bilateral hearing loss, 1742 children without hearing loss) representing the same population in Victoria, Australia. The impact of hearing loss and amplification-related factors on vocabulary was estimated using g-computation and multivariable linear regression. Children with versus without hearing loss had poorer expressive vocabulary scores, with mean scores for bilateral loss 0.5 (mild loss) to 0.9 (profound loss) standard deviations lower and for unilateral loss marginally (0.1 to 0.3 standard deviations) lower. For children with hearing loss, early intervention and amplification by 3 months, rather than by 6 months or older, resulted in higher expressive vocabulary scores. Children with hearing loss demonstrated delayed spoken expressive vocabulary despite whole-state systems of early detection and intervention. Our findings align with calls to achieve a 1-2-3 month timeline for early hearing detection and intervention benchmarks for screening, identification, and intervention.

Background: Language is foundational for neurodevelopment and quality of life, but an estimated 10% of children have a language disorder at age 5. Many children shift between classifications of typical and low language if assessed at multiple times in the early years, making it difficult to identify which children will have persisting difficulties and benefit most from support. This study aims to identify a parsimonious set of preschool indicators that predict language outcomes in late childhood, using data from the population‐based Early Language in Victoria Study ( n = 839). Methods: Parents completed surveys about their children at ages 8, 12, 24, and 36 months. At 11 years, children were assessed using the Clinical Evaluation of Language Fundamentals 4th Edition (CELF‐4). We used random forests to identify which of the 1990 parent‐reported questions best predict children's 11‐year language outcome (CELF‐4 score ≤81 representing low language) and used SuperLearner to estimate the accuracy of the constrained sets of questions. Results: At 24 months, seven predictors relating to vocabulary, symbolic play, pragmatics and behavior yielded 73% sensitivity (95% CI: 57, 85) and 77% specificity (95% CI: 74, 80) for predicting low language at 11 years. [Corrections made on 5 May 2023, after first online publication: In the preceding sentence ‘motor skills’ has been corrected to ‘behavior’ in this version.] At 36 months, 7 predictors relating to morphosyntax, vocabulary, parent–child interactions, and parental stress yielded 75% sensitivity (95% CI: 58, 88) and 85% specificity (95% CI: 81, 87). Measures at 8 and 12 months yielded unsatisfactory accuracy. Conclusions: We identified two short sets of questions that predict language outcomes at age 11 with fair accuracy. Future research should seek to replicate results in a separate cohort.

Purpose: To examine (1) the association between low language (LL) and caregiver’s health-related quality of life (HRQoL), (2) whether persistent LL affects caregiver’s HRQoL and (3) whether child social-emotional-behavioural (SEB) difficulties attenuates the association between LL and caregiver’s HRQoL. Method: Data were from the Early Language in Victoria Study (ELVS) and the Longitudinal Study of Australian Children (LSAC). Caregiver’s HRQoL was measured using the EuroQoL-5 dimensions and the Assessment of Quality of Life-8 dimensions. Language ability was determined using the Clinical Evaluation of Language Fundamentals (CELF)-Preschool-2nd or 4th edition (ELVS) and the Peabody Picture Vocabulary Test-3^rd edition or CELF-4 recalling sentences subscale (LSAC). Child SEB difficulties were measured using the Strengths and Difficulties Questionnaire. Multivariable linear regression was used for the analysis. Result: At 11–12 years, an association between LL and reduced caregiver’s HRQoL was found in LSAC, but not in ELVS. Persistent LL from 4–11 years seemed to not affect caregivers’ HRQoL in either cohort. Child SEB difficulties attenuated the association between caregiver’s HRQoL and LL. Conclusion: Both LL and SEB difficulties contributed to reduced caregiver’s HRQoL at children age 11–12 years. Interventions supporting children with LL should consider caregiver’s well-being in provision of care that meets families’ needs.

Purpose: To extend our knowledge about factors influencing early vocabulary development for infants with cochlear implants (CIs), we investigated the impact of positive parenting behaviors (PPBs) from the Indicator of Parent Child Interaction, used in parent–child interactions during everyday activities. Method: Implantation age for the sample recruited from CI clinics in Australia ranged from 6 to 10 months for 22 children and from 11 to 21 months for 11 children. Three observation sessions at three monthly intervals were coded for use of PPBs. Children's productive vocabulary, based on the MacArthur–Bates Communicative Development Inventories parent checklist, was collected approximately 6 and 9 months later. A repeated-measures negative binomial generalized linear mixed-effects model was used to investigate associations between the total PPBs per session, covariates (maternal education, gender, and time since implant), and the number of words produced. In follow-up analyses with the PPBs entered separately, variable selection was used to retain only those deemed informative, based on the Akaike information criterion. Results: As early as Session 1, associations between the PPBs and vocabulary were identified. Time since implant had a positive effect. For different sessions, specific PPBs (descriptive language, follows child's lead, and acceptance and warmth) were identified as important contributors. Conclusions: Complementing previous findings, valuable information was identified about parenting behaviors that are likely to impact positively the early vocabulary of infants with CIs. Of importance is providing parents with information and training in skills that have the potential to help create optimal contexts for promoting their child's early vocabulary development.

For children with normal hearing (NH), early communication skills predict vocabulary, a precursor to grammar. Growth in early communication skills of infants with cochlear implants (CIs) was investigated using the Early Communication Indicator (ECI), a play-based observation measure. Multilevel linear growth modelling on data from six ECI sessions held at three-monthly intervals revealed significant growth overall, with a non-significant slower growth rate than that of children with NH (comparison age centred at 18 months). Analyses of gesture use and of nonword vocalisations revealed the CI group used significantly more of each, with more rapid growth. In contrast, the CI group used significantly fewer single words and multiword utterances, and with slower growth. Maternal education and time to achieve consistent CI use impacted significantly on growth for the CI sample. The results indicate that progression to vocabulary by young CI users can be supported by encouraging their use of prelinguistic communication.

Background: Language outcomes for children with cochlear implants (CIs) vary widely, even for those implanted before 2 years of age. Identifying the main influencing factors that account for some of the variability is important in order to provide information to guide appropriate clinical and intervention services for young children with CIs. However, there is limited research focusing on the predictors of early vocabulary development for children implanted in infancy.Aims: To identify significant predictors of vocabulary (12–15 months post‐implant) for a sample of 33 children with CIs, the majority implanted between 6 and 10 months of age, drawing on predictors of vocabulary reported for children with normal hearing. Of particular interest was the impact of pre‐implant development and use of gestures.Methods & Procedures: Children with severe to profound hearing loss, and no other known disabilities, were recruited from CI clinics in Australia before receiving their CIs. Subscales from the Bayley Scales‐III (receptive and expressive communication, gross and fine motor, and cognition) were used to assess their development at that time. Using the Macarthur–Bates Communicative Development Inventory (Words and Gestures) we documented the children's (1) use of gestures at six data‐collection times 3 months apart; and (2) vocabulary at the last three time points. Time since implant and time to consistent use of the CIs were also included as potential predictors. Data were analysed using generalized linear models, assuming a negative binomial response with a log‐link function. Stepwise variables selection was followed to retain a smaller number of the covariates.Outcomes & Results: A year after implantation, the significant predictors identified for vocabulary were pre‐implant receptive communication and early gesture use. Together with fine motor and cognitive skills, these two variables were also significant predictors of vocabulary 3 months later. With maternal education entered into the models, higher vocabulary scores were significantly associated with higher maternal education 12 months post‐implantation, but not 15 months.Conclusions & Implications: Pre‐implant abilities are important in explaining some variability in the early vocabulary of infants with CIs, together with their use of early gestures post‐implantation. That is, having a non‐verbal means to express a concept can assist in their development of oral vocabulary. Identifying strategies to help develop fine motor skills for infants with CIs, and encouraging their use of gestures to communicate their needs/intentions, are likely to be of benefit.

Research with adults and older children indicates that verb biases are strong influences on listeners’ interpretations when processing sentences, but they can be overruled. In this paper we ask two questions: (i) are children with ASD who are high functioning sensitive to verb biases like their same age typically developing peers?, and (ii) do young children with ASD and young children with typical development override strong verb biases to consider alternative interpretations of ambiguous sentences? Participants were aged 5-9 years (mean age 6.65 years): children with ASD who were high functioning and children with typical development. In task 1 biasing and neutral verbs were included (e.g., eat cake versus move cake). In task 2 the focus was on whether the prepositional phrase occurring with an instrument biasing verb (e.g. ‘chop the tree with the axe’) was interpreted as an instrument even if the named item was an implausible instrument (e.g. candle in ‘Cut the cake with the candle’). Overall, the results showed similarities between groups but the ASD group was generally slower. In task 1, both groups looked at the named object faster in the biasing than the non-biasing condition, and in the biasing condition the ASD group looked away from the target more quickly than the TD group. In task 2, both groups identified the target in the prepositional phrase. They were more likely to override the verb instrument bias and consider the alternative (modification) interpretation in the implausible condition (e.g., looking at the picture of a cake with a candle on it’). Our findings indicate that children of age 5 years and above can use context to override verb biases. Additionally, an important component of the sentence processing mechanism is largely intact for young children with ASD who are high functioning. Like children with typical development, they draw on verb semantics and plausibility in integrating information. However, they are likely to be slower in processing the language they hear. Based on previous findings of associations between processing speed and cognitive functioning, the implication is that their understanding will be negatively affected, as will their academic outcomes.

Background: There is variability in the language of children with autism, even those who are high functioning. However, little is known about how they process language structures in real time, including how they handle potential ambiguity, and whether they follow referential constraints. Previous research with older autism spectrum disorder (ASD) participants has shown that these individuals can use context to access rapidly the meaning of ambiguous words. The severity of autism has also been shown to influence the speed in which children with ASD access lexical information.Aims: To understand more about how children with ASD process language in real time (i.e., as it unfolds). The focus was the integration of information and use of referential constraints to identify a referent named in a sentence.Methods & Procedures: We used an eye‐tracking task to compare performance between young, high‐functioning children with autism (HFA) and children with typical development (TD). A large sample of 5–9‐year‐old children (mean age = 6;8 years), 48 with HFA and 56 with TD participated; all were attending mainstream schools. For each item participants were shown a display of four images that differed in two dimensions. Each sentence contained an adjective and noun that restricted the choice from four to two (the target and competitor), followed by a prepositional phrase (e.g., the blue square with dots); this added modifying information to provide a unique description of the target. We calculated looking time at the target, the competitor and the two distractors for each 200 ms time interval as children processed the sentence and looked at the display. Generalized estimating equations were used to carry out repeated‐measures analyses on the proportion of looking time to target and competitor and time to fixate to target.Outcomes & Results: Children in both groups (HFA and TD) looked at the target and competitor more than at the distractors following the adjective and noun and following the modifying information in the prepositional phrase more at the target. However, the HFA group was significantly slower in both phases and looked proportionally less at the target. Across the sample, IQ and language did not affect the results; however, age and attention had an impact. The older children showed an advantage in processing the information as did the children with higher attention scores.Conclusions & Implications: The HFA group took longer than the TD group to integrate the disambiguating information provided in the course of processing a sentence and integrate it with the visual information, indicating that for the ASD group incremental processing was not as advanced as for children with ASD, and they were less sensitive to referential conventions. Training for young children with ASD on the use of referential conventions and available contextual clues may be of benefit to them in understanding the language they hear.

The paper reports on a study designed to develop a risk model that can best predict single-word spelling in seven-year-old children when they were aged 4 and 5. Test measures, personal characteristics and environmental influences were all considered as variables from a community sample of 971 children. Strong concurrent correlations were found between single-word spelling and single-word reading while expressive language and, to a lesser extent, receptive language were less strongly correlated. Predictors of single-word spelling at ages 4 and 5 were dominated by child-related factors such as letter knowledge, a history of speech impairment and expressive language along with maternal word reading ability. Based on the strength of the predictive factors identified at both age 4 and 5, our results provide initial support for using a targeted model for screening pre-schoolers at risk of not mastering spelling in a timely manner.

Problems in language processing have been associated with autism spectrum disorder (ASD), with some research attributing the problems to overall language skills rather than a diagnosis of ASD. Lexical access was assessed in a looking‐while‐listening task in three groups of 5‐ to 7‐year‐old children; two had high‐functioning ASD (HFA), an ASD severe (ASD‐S) group (n = 16) and an ASD moderate (ASD‐M) group (n = 21). The third group were typically developing (TD) (n = 48). Participants heard sentences of the form “Where's the x?” and their eye movements to targets (e.g., train), phonological competitors (e.g., tree), and distractors were recorded. Proportions of looking time at target were analyzed within 200 ms intervals. Significant group differences were found between the ASD‐S and TD groups only, at time intervals 1000–1200 and 1200–1400 ms postonset. The TD group was more likely to be fixated on target. These differences were maintained after adjusting for language, verbal and nonverbal IQ, and attention scores. An analysis using parent report of autistic‐like behaviors showed higher scores to be associated with lower proportions of looking time at target, regardless of group. Further analysis showed fixation for the TD group to be significantly faster than for the ASD‐S. In addition, incremental processing was found for all groups. The study findings suggest that severity of autistic behaviors will impact significantly on children's language processing in real life situations when exposed to syntactically complex material. They also show the value of using online methods for understanding how young children with ASD process language. Autism Res 2014, 7: 687–694. © 2014 International Society for Autism Research, Wiley Periodicals, Inc.