Sensory Processing Difficulties in Youths With Disruptive Mood Dysregulation Disorder
Bibliographic record
Abstract
Difficulty modulating sensory information has been described in children with developmental disorders. However the relation of Sensory Processing Difficulties (SPD) to emotional regulation problems remains poorly understood. The aim of this study is to determine the rate and patterns of SPD in youth with Disruptive Mood Dysregulation Disorder (DMDD). Participants were DMDD patients aged 6-16 presenting at a University Hospital in outpatient or inpatient facilities (n=30). For each participant the parent-reported Sensory Profile, the Affective Lability Scale, the Beck Depression Inventory-II, the Child Behavior Checklist/4-18 and the K-SADS-PL were completed. The scores of the Sensory Profile of the DMDD youths were compared to those obtained in a clinical control group and to the manual scores for same-age typically developing youths. SPD were reported in 53% of the subjects in the DMDD group. Youths with DMDD showed a significant difference on almost all items of the Sensory Profile compared to typically developing youth. The Sensory Profile was found to discriminate best between the participants with DMDD and those in the clinical control group with regards to the category “Behavioral outcomes of sensory processing” and the factor “Fine motor/ perceptual behavior”. All types of sensory processing patterns were reported in the DMDD youths: sensation avoiding (40%), low registration (27%), sensory sensitivity (20%), and sensation seeking (10%). As a group, youths with DMDD have significantly more SPD when compared to typical youths. Therefore, SPD could be an important factor to consider in youths with DMDD when providing comprehensive assessment and therapeutic interventions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".