Exploring the Relationship of Cognitive Disengagement Syndrome and Attention Deficit/Hyperactivity Disorder with Emotional Dysregulation: A Twin Study in Childhood and Adolescence
Bibliographic record
Abstract
Data on the genetic and environmental factors underlying the co-occurrence of Cognitive Disengagement Syndrome (CDS), Attention Deficit Hyperactivity Disorder (ADHD), and Emotional Dysregulation (ED) are limited. This study aimed to explore the nature of the associations between CDS, ADHD with ED, and to assess the role of shared etiological factors in explaining their comorbidity. We analyzed a sample of 400 Italian twin pairs aged 8–18, from Northern Italy and enrolled in the Italian Twin Registry. Bivariate genetic analyses were conducted using parent-rated CBCL scores for CDS, ADHD, and ED. For both CDS–ED and ADHD–ED associations, the best-fitting models were Cholesky AE models (−2LL = −849.167 and −339.030, respectively; p > 0.05), suggesting that the covariation was mainly due to additive genetic factors (CDS–ED—A = 0.81, 95% CI [0.66–0.95]; ADHD–ED—A = 0.86, 95% CI [0.75–0.95]). More than half of the genes were shown to be shared among the phenotypes. Non-shared environmental contributions were smaller (CDS–ED—E = 0.19, 95% CI [0.05–0.34]; ADHD–ED—E = 0.14, 95% CI [0.05–0.25]), indicating interrelated but distinct constructs. Despite some limitations, particularly the exclusive use of the CBCL, findings highlight the importance of monitoring ED symptoms in individuals with CDS or ADHD, and vice versa.
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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 | 0.001 | 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".