Risk Factors for Children's Vocabulary Performance: Background Variables and Parental Concerns

What is already known on this subject Research has consistently demonstrated the validity and importance of parental concerns in identifying children's developmental issues, particularly in the early detection of DLD. Previous studies have established that parental observations can be as reliable as quality developmental screening tests. Early language milestones, including onset of speaking and word combinations, have been identified as significant predictors of vocabulary development. Risk factors for language development have been categorised into three domains: biological/genetic factors (family history, health conditions), developmental indicators (delayed milestones), and social/environmental factors. The CDI has emerged as a valuable tool for assessing vocabulary development and identifying children at risk for DLD across various languages. What this study adds to existing knowledge This study reveals that parental concerns emerge as the strongest predictor of vocabulary performance in Arabic, an understudied language in this context, accounting for 27.2% of variance in language development. For the first time, we demonstrate differential predictive patterns between children with and without parental concerns: Onset of speaking predicts performance for children without concerns, while word combination abilities serve as the sole significant predictor for children with concerns. The study validates a three-domain framework in Arabic-speaking populations and shows that subjective factors demonstrate significantly stronger relationships with vocabulary performance than objective indicators, challenging traditional assumptions about measurement reliability. What are the potential or actual clinical implications of this work? These findings highlight the value of considering parental perspectives alongside standardised assessments to gain a comprehensive understanding of children's linguistic abilities in Arabic-speaking populations. Healthcare professionals should recognise that parental reports, when systematically collected, may provide more sensitive indicators of language development than traditional objective measures. Clinical assessment protocols should be restructured to give greater weight to structured parental observations. Word combination abilities, in particular, seem valuable for identifying children with persistent language difficulties. The PA-CDI, combined with background variables, shows promise as an effective clinical tool for early identification of children at risk for language delays in Arabic-speaking populations.

Authors

Institutions

Publication Details

Journal
International Journal of Language & Communication Disorders
Published
2026-02-18
DOI
https://doi.org/10.1111/1460-6984.70211
Primary Topic
Language Development and Disorders
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Risk Factors for Children's Vocabulary Performance: Background Variables and Parental Concerns

Sharon Armon‐Lotem, Lina Hashoul‐Essa
International Journal of Language & Communication Disorders
Language Development and Disorders
article

Risk Factors for Children's Vocabulary Performance: Background Variables and Parental Concerns

Sharon Armon‐Lotem, Lina Hashoul‐Essa
article en

Abstract

What is already known on this subject Research has consistently demonstrated the validity and importance of parental concerns in identifying children's developmental issues, particularly in the early detection of DLD. Previous studies have established that parental observations can be as reliable as quality developmental screening tests. Early language milestones, including onset of speaking and word combinations, have been identified as significant predictors of vocabulary development. Risk factors for language development have been categorised into three domains: biological/genetic factors (family history, health conditions), developmental indicators (delayed milestones), and social/environmental factors. The CDI has emerged as a valuable tool for assessing vocabulary development and identifying children at risk for DLD across various languages. What this study adds to existing knowledge This study reveals that parental concerns emerge as the strongest predictor of vocabulary performance in Arabic, an understudied language in this context, accounting for 27.2% of variance in language development. For the first time, we demonstrate differential predictive patterns between children with and without parental concerns: Onset of speaking predicts performance for children without concerns, while word combination abilities serve as the sole significant predictor for children with concerns. The study validates a three-domain framework in Arabic-speaking populations and shows that subjective factors demonstrate significantly stronger relationships with vocabulary performance than objective indicators, challenging traditional assumptions about measurement reliability. What are the potential or actual clinical implications of this work? These findings highlight the value of considering parental perspectives alongside standardised assessments to gain a comprehensive understanding of children's linguistic abilities in Arabic-speaking populations. Healthcare professionals should recognise that parental reports, when systematically collected, may provide more sensitive indicators of language development than traditional objective measures. Clinical assessment protocols should be restructured to give greater weight to structured parental observations. Word combination abilities, in particular, seem valuable for identifying children with persistent language difficulties. The PA-CDI, combined with background variables, shows promise as an effective clinical tool for early identification of children at risk for language delays in Arabic-speaking populations.

International Journal of Language & Communication DisordersVol. 61(2)
Bar-Ilan University (IL)
Quality Education
Openalex Percentile: Top 53%
Language Development and Disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.