Disorganized attachment and psychological symptoms in children with somatic symptoms disorders
Bibliographic record
Abstract
Introduction Somatic symptoms disorders (SSD) are one of the most neglected areas in child and adolescent psychiatry (Mohapatra et al., 2014). SSD are characterized by multiple and variable physical symptoms without demonstrable pathophysiological processes. Literature has investigated the role of several psychological variables in SSD, with inconclusive data. Moreover, there is a paucity of studies on middle-childhood and early adolescence in this clinical condition. Objectives We focus on the role of attachment and on psychological aspects in children with SSD. Aims The aims are to verify the presence of: – an overrepresentation of attachment disorganization in these children; – an overrepresentation of psychological symptoms. Methods Fifty-six consecutive Italian patients with SSD, aged from 8 to 15, were administered Child Behavior Checklist (Achenbach, 1991) and Child Attachment Interview (Shmueli-Goetz et al., 2000). Results Findings showed: – a significant presence of disorganized attachment with respect to both parents; – high levels of anxiety and depression. Conclusion This study extended previous research in middle-childhood and early adolescence in SSD. The findings support the influence of the disorganization aspects and the psychological problems surrounding the SSD. The clinical implications for future research directions are discussed. Disclosure of interest The authors have not supplied their declaration of competing interest.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".