Evaluating the association between developmental language disorder and depressive symptoms in preschool children
Bibliographic record
Abstract
This study aims to investigate the association between developmental language disorder (DLD) and depressive symptoms in preschool-aged children, building upon previous research that has demonstrated emotional difficulties in children with DLD. Forty-one children with DLD or children at risk for DLD (DLD group) and 41 children with typical language development (TLD) were included in this study. Language development was evaluated using the TEDIL test which is a Turkish adaptation of the Test of Early Language Development-3. Auto acoustic Emissions Testing and Immittance-Metric Assessment were used to exclude children with hearing impairment. Developmental delays were excluded by Denver Developmental Screening Test II. Mothers filled out the Sociodemographic Data Form and the Child Depressive Symptoms Assessment Scale. The results demonstrate that children in DLD group scored significantly higher on the Child Depressive Symptoms Assessment Scale, manifesting increased levels of aggression, separation anxiety, impulsivity, hyperactivity, and encountering greater social adaptation difficulties and deterioration in cognitive processes than TLD. Multivariate regression analysis suggests that increased impulsivity and hyperactivity, alongside social and cognitive challenges, are predictors of DLD. The study concludes that depressive symptoms are more prevalent in children in DLD group than in their typically developing counterparts. These findings underscore the necessity for targeted psychiatric and pedagogical interventions, as well as individualized educational programs that cater to the socio-emotional and cognitive needs of children with DLD.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".