Spettro alimentare, interocezione e dimensione alessitimica in un campione della popolazione generale
Bibliographic record
Abstract
Background Le interconnessioni tra interocezione, dimensioni alessitimiche e disturbi dello spettro alimentare sono state variamente esplorate in letteratura, con risultati non univoci. Scopo dello studio Valutare la potenziale correlazione tra livelli di confusione enterocettiva, dimensioni alessitimiche e sintomatologia di spettro anoressico-bulimico, in un campione non clinico di giovani adulti di qualunque genere. Si è ipotizzato che la confusione interocettiva, in quanto dimensione implicata nella comparsa di tratti alessitimici, potesse costituire un elemento predittivo della fenomenica di spettro anoressico-bulimico, sia direttamente sia indirettamente attraverso la dimensione alessitimica. Materiale e Metodo Lo studio effettuato (cross-sectional, osservazionale, no-profit) ha previsto il reclutamento volontario di soggetti della popolazione generale di età compresa fra 18 e 30 anni, di qualunque genere, valutati con una procedura online (Microsoft Form), ai quali sono stati somministrati un questionario socio-demografico, la Toronto Alexitymia Scale (TAS-20), l’Interoceptive Accuracy Scale (IAS), l’Interoceptive Confusion Questionnaire (ICQ) e la Eating Attitude test (EAT-26). La somministrazione di questionari è avvenuta in accordo con quanto approvato dal Comitato di Bioetica dell’Università di Pisa (protocollo #0012005/2023). Risultati Lo studio ha dimostrato una correlazione significativa fra interocezione, alessitimia e dimensioni dello spettro alimentare, significativamente maggiore nel genere femminile. Conclusioni Le alterazioni interocettive e la dimensione alessitimica potrebbero costituire fattori di rischio per la sintomatologia di spettro alimentare, anche in soggetti della popolazione generale, in particolare nel genere femminile. _____________________________________________________________________________________________________ Background Relationships between interoception, alexithymia dimensions and food spectrum disorders have been already explored, with mixed results. Study Aims To evaluate potential correlations between interoceptive confusion, alexithymia traits, and anorexic-bulimic spectrum signs and symptoms, in a general population sample. It has been hypothesized that interoceptive confusion, as a dimension involved in the onset of alexithymia traits, could constitute a predictor of anorexia-bulimia spectrum signs and symptoms, both directly and indirectly through alexithymia dimension. Material and Method The study had a cross-sectional, observational, non-profit design and involved the voluntary recruitment of subjects from general population, aged between 18 and 30, of any gender, assessed with an online procedure (Microsoft Form). Participants were administered with a socio-demographic questionnaire, and with the Toronto Alexithymia Scale (TAS-20), the Interoceptive Accuracy Scale (IAS), the Interoceptive Confusion Questionnaire (ICQ), and the Eating Attitude test (EAT-26). The Bioethics Committee of the University of Pisa approved the study procedures (protocol # 0012005/2023). Results The study demonstrated a significant correlation between interoception, alexithymia and food spectrum dimensions, more relevant in female gender. Conclusions Interoceptive alterations and the alexithymia dimension could constitute risk factors for eating spectrum symptoms, even in subjects of the general population, especially in female gender.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".