Social cognition and competence in preschoolers with congenital heart disease.
Bibliographic record
Abstract
OBJECTIVE: Children born with congenital heart disease (CHD) are at an increased risk for various neurodevelopmental impairments. However, little is known regarding social outcomes associated with CHD, particularly during early childhood. The present study aimed to characterize the sociocognitive profile and to assess the contribution of language, executive functions (EF), and social cognition to social competence (SC) in preschoolers with CHD. METHOD: = 55) completed a standardized neuropsychological assessment. Performance on sociocognitive skills was compared to test norms using one-sample t tests. Hierarchical regression was conducted to examine the associations between language skills, affect recognition (AR), theory of mind (ToM), EF (performance-based and parent-rated), and social competence. RESULTS: Children with CHD performed significantly worse than norms in language and ToM, whereas EF and social competence appeared generally preserved in our sample. In hierarchical regression analysis, cognitive functions (language score, AR, ToM, EF performance) accounted for a significant 24.3% of the variance. Parent-rated EF added another 24.8% to the total explained variance. CONCLUSIONS: These findings provide new evidence for understanding social cognition and competence among preschoolers with CHD, showing vulnerability in social cognition and language skills but not in social competence more generally. The model suggests a combined contribution of social cognition, language, and EF on social outcomes. Remedial programs addressing these intervention targets could be useful in promoting social development in this vulnerable population. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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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 | 0.000 |
| 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".