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Record W2070088818 · doi:10.1159/000073449

Body Image Disturbance, Parental Bonding and Alexithymia in Patients with Eating Disorders

2003· article· en· W2070088818 on OpenAlexaboutno aff
Chiara De Panfilis, P. Rabbaglio, Chiara Rossi, G Zita, Carlo Maggini

Bibliographic record

VenuePsychopathology · 2003
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsnot available
Fundersnot available
KeywordsAlexithymiaDepersonalizationPsychologyToronto Alexithymia ScaleEating disordersClinical psychologyFeelingBody mass indexStepwise regressionDisturbance (geology)Developmental psychologyMedicineEmotional exhaustion

Abstract

fetched live from OpenAlex

BACKGROUND: To evaluate if body image disturbance and alexithymia, two major clinical features of eating disorders (ED), are predicted by an altered parental bonding. SAMPLING AND METHODS: 64 female ED outpatients and 68 female healthy controls were assessed by means of the Parental Bonding Instrument (PBI), the Body Uneasiness Test (BUT), and the Toronto Alexithymia Scale (TAS-20). Pearson's correlations and multiple stepwise regression analysis were applied to explore the contribution of PBI factors on BUT and TAS scores. RESULTS: BUT weight phobia, body image concerns, avoidance, depersonalization, Global Severity Index and positive symptom total were predicted by low parental care, while compulsive self-monitoring was predicted by parental overprotection. TAS total score and difficulty in describing feelings were predicted by low maternal care. CONCLUSIONS: Body image disturbance in ED may be conceptualized as a deficit in self-development, resulting from failures in parent-child interactions which impaired the ability to distinguish bodily needs from emotional experiences.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.006
GPT teacher head0.268
Teacher spread0.261 · 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 source (direct Gemma or distilled Codex), not a consensus.

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".

Quick stats

Citations81
Published2003
Admission routes1
Has abstractyes

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