Maternal anxiety and previous anaphylaxis are associated with alexithymia in young patients with food allergy
Bibliographic record
Abstract
BACKGROUND: Alexithymia is a multifaceted personality construct described as "a lack of words to express emotions" that includes difficulty identifying feelings, difficulty describing feelings and a concrete, externally oriented cognitive style. Among patients with food allergy (FA) alexithymia has been found higher than in general population and associated with dysfunctional coping strategies. Childhood traumatic experiences and/or dysfunctional parent-child relationship can contribute to alexithymia. The study aimed to explore possible associations between child alexithymia and mother alexithymia and anxiety, as well as previous anaphylaxis. METHODS: Sixty-five mother-child pairs have been recruited. Children had a medical diagnosis of FA. The Toronto Alexithymia Scale-20 was used to assess alexithymia in participants. The State-Trait Anxiety Inventory was used to assess trait anxiety in mothers. Statistical analysis was performed to investigate the influence of variables sex, previous anaphylaxis, and adrenaline auto-injector prescription on child and mother's alexithymia and to explore possible association between maternal and child alexithymia. RESULTS: A substantial percentage of children were alexithymic (21.5%) or borderline (33.8%), while mothers' frequencies were lower and in line with prevalence in general population. Child alexithymia was positively associated with previous anaphylaxis and mothers' trait anxiety (p < .05). Mother trait anxiety was also associated with maternal alexithymia. Furthermore, a positive association between child and mother alexithymia has been found. CONCLUSIONS: Clinicians must be aware of the role of alexithymia and its association with maternal anxiety and previous anaphylaxis in children with FA, encouraging seeking psychological support when needed. A multidisciplinary patient-centered approach should be put in place for the effective care of FA.
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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 | 0.000 | 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) | 0.002 | 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".