Expressive Language in Preschoolers Born Preterm: Results of Language Sample Analysis and Standardized Assessment

Assessing the Language Abilities of Preterm-Born Children: An Examination of Standardized Testing and Language Sample Analysis

PURPOSE

To understand how best to assess the language abilities of preterm-born children, this study: (a) compared preterm- and term-born children's language skills using standardized testing and language sample analysis (LSA), (b) investigated how executive function skills and the language sampling context respectively affect standardized test and LSA scores, and (c) examined the pattern of associations between standardized test and LSA scores among preterm-/term-born groups.

METHOD

Twenty-five term-born and 23 preterm-born 2-year-old singletons were administered the language scales of the Bayley Scales of Infant and Toddler Development-Third Edition (receptive communication, expressive communication, language composite scores). Parent-child free-play recordings were used to quantify the (para)linguistic features of the children's speech. Executive function was measured via parent report.

RESULTS

The preterm-born group obtained significantly lower scores than the term-born group on all Bayley language measures (though differences were not consistently observed when using cutoff scores). Few preterm-term differences in LSA measures were found. The preterm-term differences in Bayley scores were not explained by between-group differences in executive function. Some preterm-term differences in LSA scores were moderated by the language sampling context. The preterm- and term-born groups exhibited different patterns of Bayley-LSA correlations.

CONCLUSIONS

Preterm language difficulties were more apparent on standardized test than LSA scores. Nonetheless, the Bayley-LSA correlations indicate that poor test performance (linked with preterm birth) is associated with functional communication difficulties. The discussion outlines the complementary utility of standardized tests and LSA while acknowledging the limited utility of cutoff scores and the confounding influence of the language sampling context.

SUPPLEMENTAL MATERIAL

https://doi.org/10.23641/asha.26142661.

Probing the Impact of Prematurity on Segmentation Abilities in the Context of Bilingualism

Infants born prematurely are at a high risk of developing linguistic deficits. In the current study, we compare how full-term and healthy preterm infants without neuro-sensorial impairments segment words from fluent speech, an ability crucial for lexical acquisition. While early word segmentation abilities have been found in monolingual infants, we test here whether it is also the case for French-dominant bilingual infants with varying non-dominant languages. These bilingual infants were tested on their ability to segment monosyllabic French words from French sentences at 6 months of (postnatal) age, an age at which both full-term and preterm monolinguals are able to segment these words. Our results establish the existence of segmentation skills in these infants, with no significant difference in performance between the two maturation groups. Correlation analyses failed to find effects of gestational age in the preterm group, as well as effects of the language dominance within the bilingual groups. These findings indicate that monosyllabic word segmentation, which has been found to emerge by 4 months in monolingual French-learning infants, is a robust ability acquired at an early age even in the context of bilingualism and prematurity. Future studies should further probe segmentation abilities in more extreme conditions, such as in bilinguals tested in their non-dominant language, in preterm infants with medical issues, or testing the segmentation of more complex word structures.

Describing the Spoken Language Skills of Typically Developing Afrikaans-Speaking Children Using Language Sample Analysis: A Pilot Study

PURPOSE

Language sample analysis is widely regarded as the gold standard of language assessment. However, the uncertainty regarding the optimal length of sample and the limited availability of developmental language data for nonmainstream languages such as Afrikaans complicate reliable use of the method. The study aimed to provide guidelines on representative length of sample and concurrently provide a preliminary description of the spoken language skills of Afrikaans-speaking children.

METHOD

The study involved 30 typically developing Afrikaans-speaking children aged between 3;6 and 9;6 (years;months). A descriptive research design was used to transcribe and analyze 1-hr interactions collected in natural environments of participants who were recruited using referral sampling. Video and audio recordings of the samples were transcribed using adapted Sampling Utterances and Grammatical Analysis Revised analysis procedures.

RESULTS

Results indicated that mean length of utterance in words per minute, number of different words per minute, and total number of words per minute stabilized at 30 min and no significant differences were found between 30 min and longer time segments. Morphology results concur with existing developmental findings in Afrikaans. Lexical diversity results correlated with the findings of the lexical specificity and accuracy in the Prutting and Kirchner Pragmatic Protocol (Prutting & Kirchner, 1987). The developmental trajectories for pragmatic and phonological development were consistent with existing guidelines.

CONCLUSIONS

The study concluded that a 30-min interaction segment provides a representative language sample for Afrikaans-speaking children who are between 3;6 and 9;6. It provides promising preliminary developmental data and clinical guidelines, confirming the potential of language sample analysis (LSA) as a reliable component of language assessment in Afrikaans.

Children Born Prematurely May Demonstrate Catch-Up Growth in Pre-Adolescence

Introduction Children born prematurely often score lower on standardized tests of language in early childhood. Less is known about longer term outcomes. This investigation considered language outcomes in pre-adolescent children born very preterm/very low birthweight, as assessed by both standardized test scores and language sample measures, and explored attention abilities as a possible moderating factor. Method The present investigation provided a longitudinal follow-up to Mahurin Smith et al. (2014) by examining the language outcomes of 84 children at the 11-year time point (39 with a history of prematurity and 45 born at full term) and a total of 82 at the 12-year time point (37 with a history of prematurity, 45 born at full term). Assessments included subtests of the Clinical Evaluation of Language Fundamentals- Fourth Edition, productive language measures taken from narrative tasks, and parent and examiner ratings of attention. Results Gestational age significantly predicted standardized language scores at age 11 years, but this effect was no longer statistically significant at age 12 years. When parent ratings of attention were considered as additional variables, gestational age was no longer a significant predictor. Gestational age did not serve as a significant predictor for the productive language measures at either time point. Discussion Results indicate that catch-up growth in language may take place in pre-adolescence for many children born prematurely. Clinical implications focus on the need to utilize multiple forms of language assessment and to directly consider the potential role of attention on standard test results.

Language, Motor, and Cognitive Outcomes of Toddlers Who Were Born Preterm

Purpose The purpose of this study was to examine the language, motor, and cognitive abilities of children born preterm in four categories: (a) healthy preterm infants, (b) infants of diabetic mothers, (c) infants with respiratory distress syndrome, and (d) infants with chronic lung disease when the children were 30 months, uncorrected age. Comorbidity of language, motor, and cognitive skills was examined, along with predictor variables. Method A total of 148 children who were born preterm participated and were assessed using bivariate tests and logistic regression on standardized assessment scores. Results Controlling for the children's gestational age (GA), overall language ability was significantly lower in the infants of diabetic mothers group compared to the healthy preterm infant group, and expressive language skills were significantly lower for the chronic lung disease group than the respiratory distress syndrome group. The children with language delays on at least one measure were significantly more likely to have cognitive, motor, or both delays. Lower maternal education was a significant predictor for language and cognitive delays, and younger GA was a significant predictor for language, motor, and cognitive delays. Conclusion Assessment of the preterm infant from a biosystems approach allows the speech-language pathologist to take into consideration maternal education, diagnosis at preterm birth, and GA, which were found to impact the language, motor, and cognitive outcomes of children born preterm. Our findings further reinforce the concept of the whole child in that children born preterm who display language delays should be screened for co-occurring motor and/or cognitive delays.

Development of speech and hearing skills in prematures adequate and small for gestational age: chronological age between 18 and 36 months

PURPOSE

This study aimed to identify whether the development of hearing abilities in the first year of life is related to the development of language in preterm neonates with chronological age between 18 and 36 months, verifying if the language performance varies according to the weight/gestational age ratio.

METHODS

Retrospective and longitudinal study approved by the Institution's Ethics Committee. The sample consisted of 66 preterm infants of both sexes, aged 18-36 months, divided into two groups: AIG Group 39 neonates with weight appropriate to the gestational age, 26 with normal hearing and 13 with altered hearing; and PIG group 27 neonates small for gestational age, 18 with normal and 9 with altered hearing. Results from the development of auditory skills in the first year of life and evaluation of the reception, expression and total of language (Menezes, 2003) were obtained from neonatal follow-up records. We used the ANOVA and the Equality Test of Two Proportions as statistical procedures.

RESULTS

In each group, we observed a significant difference in the Reception and Total language in children with normal and altered auditory development. Children with normal hearing development presented a higher percentage of language adequacy. The language performance did not differ in relation to the weight / gestational age adequacy.

CONCLUSION

Changing auditory abilities in the first year of life interfered more in language development than the gestational age / weight ratio.

Conversational Language in 3-Year-Old Children Born Very Preterm and at Term

Purpose Language difficulties are prevalent among children born preterm. Existing studies have largely used standardized language tests, providing limited scope for detailed descriptive examination of preterm language. This study aimed to examine differences in conversational language between children born < 30 weeks and at term as well as correlations between language sample analysis (LSA) and a standardized language tool. Method Two hundred four 3-year-olds (103 born < 30 weeks, 101 born at term) recruited at birth provided a 10-min language sample and completed the Preschool Language Scales-Fifth Edition (I. Zimmerman, Steiner, & Pond, 2011). LSA was conducted using the Systematic Analysis of Language Transcripts and Index of Productive Syntax. Group differences were analyzed using linear regression, and Pearson correlation coefficient (coef) was used to determine correlations between measures. Results Children born < 30 weeks scored lower than term-born peers on multiple metrics when controlled for confounding factors (sex, high social risk, multilingualism, and diagnosed neurodevelopmental disorders), including mean length of utterance in morphemes (coef = -0.28, 95% confidence interval [CI] [-0.56, 0.01]) and words (coef = -0.29, 95% CI [-0.53, -0.05]), number of different word roots (coef = -10.04, 95% CI [-17.93, -2.14]), and Index of Productive Syntax sentence structures (coef = -1.81, 95% CI [-3.10, -0.52]). Other variables (e.g., number of utterances, number of nouns and adjectives) were not significantly different between groups. LSA and the Preschool Language Scales-Fifth Edition were at most moderately correlated (≤ .45). Conclusions Three-year-old children born preterm demonstrated poorer conversational language than children born at term, with some specific areas of deficit emerging. Furthermore, formal assessment and LSA appear to provide relatively distinct and yet complementary data to guide diagnostic and intervention decisions. Supplemental Material https://doi.org/10.23641/asha.11368073.

Using Computer Programs for Language Sample Analysis

Purpose

Although language sample analysis is widely recommended for assessing children's expressive language, few school-based speech-language pathologists routinely use it, citing a lack of time, resources, and training ( Pavelko, Owens, Ireland, & Hahs-Vaughn, 2016 ). The purpose of this clinical tutorial is (a) to describe options for language sample analysis using computer programs and (b) to demonstrate a process of using language sample analysis focused on the assessment of 2 preschool children as case studies.

Method

We provide an overview of collecting and analyzing child language samples and describe 3 programs for language sample analysis: 2 dedicated software programs (Computerized Language Analysis [ MacWhinney, 2000 ] and Systematic Analysis of Language Transcripts [ Miller & Iglesias, 2015 ]) and 1 protocol for using word processing software to analyze language samples (Sampling Utterances and Grammatical Analysis Revised; Pavelko & Owens, 2017 ). We also present analysis results from each program for play-based language samples from 2 preschool children and detailed analysis of the samples with potential treatment goals.

Results

Each program offers different analyses, comparison databases, and sampling contexts. We present options for additional analysis, clinical interpretations, and potential treatment goals based on the 2 preschool cases.

Conclusion

Clinicians can use computer programs for language sample analysis as part of a process to make naturalistic language assessment more feasible.

Supplemental Material

https://doi.org/10.23641/asha.10093403