Evidence map›Paper›PMID 31855605›Full record

ArticleJournal of speech, language, and hearing research : JSLHR2020

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

Katherine Sanchez, Alicia J Spittle, Jessica O Boyce, Linda Leembruggen, Anastasia Mantelos, Stephanie Mills, Naomi Mitchell, Emily Neil, Miya St John, Jasmin Treloar and 1 more

Abstract readComparative Study
In one paragraph

Article in Journal of speech, language, and hearing research : JSLHR, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Hierarchy and Reliability of the Preschool Language Scales-Fifth Edition: Mokken Scale Analysis.Journal of speech, language, and hearing research : JSLHR · 2021
    Article
  6. Children Born Prematurely May Demonstrate Catch-Up Growth in Pre-Adolescence.Language, speech, and hearing services in schools · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Katherine SanchezClinical Sciences, Murdoch Children's Research Institute, Parkville, Victoria, Australia.
Alicia J SpittleClinical Sciences, Murdoch Children's Research Institute, Parkville, Victoria, Australia.
Jessica O BoyceClinical Sciences, Murdoch Children's Research Institute, Parkville, Victoria, Australia.
Linda LeembruggenDepartment of Speech Pathology and Audiology, The University of Melbourne, Parkville, Victoria, Australia.
Anastasia MantelosDepartment of Speech Pathology and Audiology, The University of Melbourne, Parkville, Victoria, Australia.
Stephanie MillsDepartment of Speech Pathology and Audiology, The University of Melbourne, Parkville, Victoria, Australia.
Naomi MitchellDepartment of Speech Pathology and Audiology, The University of Melbourne, Parkville, Victoria, Australia.
Emily NeilDepartment of Speech Pathology and Audiology, The University of Melbourne, Parkville, Victoria, Australia.
Miya St JohnClinical Sciences, Murdoch Children's Research Institute, Parkville, Victoria, Australia.
Jasmin TreloarDepartment of Speech Pathology and Audiology, The University of Melbourne, Parkville, Victoria, Australia.
Angela T MorganClinical Sciences, Murdoch Children's Research Institute, Parkville, Victoria, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Child LanguageVerbal BehaviorChild, PreschoolCommunicationFemaleGestational AgeHumansInfant, Extremely PrematureInfant, NewbornLanguage Development DisordersLongitudinal StudiesMaleProspective StudiesTerm Birth

Identifiers

PMID31855605
PMCPMC7213482

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.