Evidence map›Paper›PMID 42059738›Full record

ArticleJournal of speech, language, and hearing research : JSLHR2026

Using the Quantifying Bilingual Language Experience Questionnaire to Identify Risk for Language Impairment in Bilingual Children.

Cécile De Cat, Laurice Tuller, Arief Gusnanto, Draško Kašćelan, Philippe Prévost, Ludovica Serratrice, Sharon Unsworth

Abstract read
In one paragraph

Article in Journal of speech, language, and hearing research : JSLHR, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. A Data-Driven Approach to the Issue of 'Catching Up With Monolinguals'.International journal of language & communication disorders
    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

7 authors.

Cécile De CatUniversity of Leeds, United Kingdom.ORCID 0000-0003-0044-0527
Laurice TullerUniversity of Tours, France.ORCID 0000-0002-7491-0379
Arief GusnantoUniversity of Leeds, United Kingdom.ORCID 0000-0001-5748-784X
Draško KašćelanUniversity of Essex, United Kingdom.ORCID 0000-0002-4465-0844
Philippe PrévostUniversity of Tours, France.
Ludovica SerratriceUniversity of Reading, United Kingdom.ORCID 0000-0001-8108-0118
Sharon UnsworthRadboud University, Nijmegen, the Netherlands.ORCID 0000-0002-0946-2362

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeClinical triage, but also inclusive population sampling in research, requires efficient detection of children likely to be at risk for language impairment (LI), a significant challenge in the case of bilingual children. Our goal was to derive automatic risk factor indices from a parental questionnaire and compare their usefulness in initial identification of children at risk for LI.

methodAlternative risk factor indices were derived from the Quantifying Bilingual Language Experience (Q-BEx) online questionnaire backend calculator, differing in the weight and detail given to language proficiency. Each index was applied to two data sets composed of 5- to 8-year-old children: one with independent diagnosis of developmental language disorder (DLD)/typical development (TD; 109 bilingual children tested in France) and one of largely all-comer children (278 bilingual and monolingual children tested in France, the Netherlands, and the United Kingdom). We compared how these alternative indices predicted (likely) DLD/TD status and structural language outcomes, assessed with Language Impairment Testing in Multilingual Settings tools, designed for bilingual children.

resultsRF4-min, a risk factor index composed of four equally weighted components (age of first word, age of first sentence, early development concerns, and strongest speaking skills between the home/heritage language and the societal language), satisfactorily separated bilingual children according to developmental status and was a significant predictor of language outcomes. This composite score showed the best balance between separability, sensitivity, and predictive value compared to indices without a proficiency component or with a more heavily weighted/detailed proficiency component.

conclusionRF4-min, a Q-BEx automatically derived composite risk factor index, yielded promising results, indicating usefulness as part of first-level triage for LI. SUPPLEMENTAL MATERIAL: https://doi.org/10.23641/asha.32080185.

Indexed as

Child LanguageLanguage Development DisordersMultilingualismChildChild, PreschoolFemaleHumansLanguage TestsMaleRisk AssessmentRisk FactorsSurveys and Questionnaires

Identifiers

PMID42059738
PMCPMC13274534

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.