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Record W6903321216 · doi:10.1192/j.eurpsy.2023.906

The relationship between alexithymia and Nyght Eating Syndrome

2023· article· en· W6903321216 on OpenAlexaboutno aff

Bibliographic record

VenuePubMed Central · 2023
Typearticle
Languageen
FieldEngineering
TopicSilicon and Solar Cell Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsAlexithymiaBinge eatingBinge-eating disorderArousalAnxietyEating disordersEmotional eating

Abstract

fetched live from OpenAlex

INTRODUCTION: NES is characterized by daytime anorexia, sleep difficulties with nocturnal food intake, resulting in obesity (Stunkard et al. Am J of Med. 1955; 19 78-86). Alexithymia refers to the impairment in recognizing and describing feelings. The impairment in distinguishing emotions from body sensations may lead patients to confuse emotional arousal with physical hunger (Sifneos et al. Mod. trends psychosom. med. 1976; 3 430-439). This mechanism could lead to nocturnal food intake. Alexithymia was firstly described in BED and was related to BED severity. OBJECTIVES: To our knowledge no studies have investigated the relationship between alexithymia and NES. The aim of the present study was to assess alexithymia in patients with NES, to improve surgical and nutritional outcomes. METHODS: 110 patients with clinical diagnosis of NES admitted to the Eating Disorder Unit, between 2013 and 2022 underwent psychiatric assessment for bariatric surgery. Clinical assessment consisted of clinical interview and the following psychometric rating scales: 20-item Toronto Alexithymia Scale; Eating Disorder Inventory 2, specifically the Interoceptive Awareness subscale; Barratt Impulsiveness Scale; Binge Eating Scale. RESULTS: The mean BES score was 24.14(SD 8.23), computed on 107 patients, of which 16 (14.5%) had no or minimal binge eating problems and 91 (82.7%) had moderate-severe binge eating problems. The mean TAS total score was 55.11(12.92), computed on 103 patients. 42 patients had a TAS-20 total score ≤50 and were categorized as non-alexithymic, and 61 had a TAS-20 total score >50 and were categorized as alexithymic. Simple linear regression was used to test if TAS-20 total score significantly predicted EDI-IA in the whole sample (97 patients). The overall regression was statistically significant (R(2)=0.27, F(1,96)=35.46, p< .001) and TAS total score significantly predicted EDI-IA score (β=0.519, p<.001). In the alexithymic group, the regression was statistically significant (R(2)=0.305, F(1,57)=25.07, p< .001) and TAS total score significantly predicted EDI-IA score (β=0.553, p<.001). [Table: see text] Image: Image 2: CONCLUSIONS: In patients with NES, alexithymia significantly predicts poor interoceptive awareness, thus explaining excessive nocturnal food intake. DISCLOSURE OF INTEREST: None Declared

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
gptno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
models agreeAgreement compares identical category sets and study designs across arms.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.237

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.033
GPT teacher head0.221
Teacher spread0.187 · 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

Labeled directly by 2 models reading the full record.

The models applied no category: nothing in the taxonomy fit this work.
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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