Evidence map›Paper›PMID 35342208›Full record

ArticleApplied psycholinguistics2022

Phonological characteristics of novel gesture production in children with developmental language disorder: Longitudinal findings.

Laiah Factor, Lisa Goffman

Abstract read
In one paragraph

Article in Applied psycholinguistics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

2 authors.

Laiah FactorCallier Center for Communication Disorders, School of Behavioral and Brain Sciences, The University of Texas at Dallas, Richardson, TX, USA.ORCID 0000-0003-2109-9129
Lisa GoffmanCallier Center for Communication Disorders, School of Behavioral and Brain Sciences, The University of Texas at Dallas, Richardson, TX, USA.ORCID 0000-0002-7989-737X

Funding

Language-Motor Relations in Children's Speech ProductionR01DC004826 · NIDCD · PURDUE UNIVERSITY WEST LAFAYETTE · PI GOFFMAN, LISA · 2001 to 2014
$3.1M
Sequential Pattern Learning in Children with Developmental Language DisorderR01DC016813 · NIDCD · UNIVERSITY OF TEXAS DALLAS · PI GOFFMAN, LISA · 2018 to 2022
$2.3M
NIDCD NIH HHS R01 DC004826NIDCD NIH HHS R01 DC016813
6 · The paper itself

Abstract

Children with developmental language disorder (DLD; aka specific language impairment) are characterized based on deficits in language, especially morphosyntax, in the absence of other explanatory conditions. However, deficits in speech production, as well as fine and gross motor skill, have also been observed, implicating both the linguistic and motor systems. Situated at the intersection of these domains, and providing insight into both, is manual gesture. In the current work, we asked whether children with DLD showed phonological deficits in the production of novel gestures and whether gesture production at 4 years of age is related to language and motor outcomes two years later. Twenty-eight children (14 with DLD) participated in a two-year longitudinal novel gesture production study. At the first and final time points, language and fine motor skills were measured and gestures were analyzed for phonological feature accuracy, including handshape, path, and orientation. Results indicated that, while early deficits in phonological accuracy did not persist for children with DLD, all children struggled with orientation while handshape was the most accurate. Early handshape and orientation accuracy were also predictive of later language skill, but only for the children with DLD. Theoretical and clinical implications of these findings are discussed.

Indexed as

DLDGestureMotor SkillPhonologySLI

Identifiers

PMID35342208
PMCPMC8955622

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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.