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Record W7005871800

Spettro alimentare, interocezione e dimensione alessitimica in un campione della popolazione generale

2023· article· it· W7005871800 on OpenAlexaboutno aff

Bibliographic record

VenueElectronic Theses and Dissertations Repository (University of Pisa) · 2023
Typearticle
Languageit
FieldComputer Science
TopicEducational Management and Quality
Canadian institutionsnot available
Fundersnot available
KeywordsAlexithymiaAutistic spectrumPopulationConfusionBreastfeedingSocialization
DOInot available

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.753
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.012
GPT teacher head0.233
Teacher spread0.221 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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