MétaCan
Menu
Back to cohort

EATING DISORDERS AND ALEXITHYMIA IN COLLEGE STUDENTS

2017· other· en· W6908410657 on OpenAlexaboutno aff

Bibliographic record

VenueBiblioBoard Library Catalog (Open Research Library) · 2017
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsAlexithymiaEating disordersFeelingToronto Alexithymia ScaleBody mass index

Abstract

fetched live from OpenAlex

Background: Researches on troubles of emotional control in addictions, such as the eating disorders (ED) have mainly focused their attention on alexithymia concept, defined by Sifneos as a deficit in emotion processing.Aims: To estimate prevalence rate of alexithymia and ED.to explore the relationships between alexithymia and ED in college students. Methods:College students, via Facebook, were recruited online, during the first half of February 2018, to participate in an online survey on ED.We used an anonymous self u2013questionnaire composed of 57 items designed to record some sociodemographic and clinical data.The screening of ED was made thanks to the Test Eating Attitudes (EAT-26).Alexithymia was evaluated by the Toronto Alexithymia Scale, (TAS-20).Results:The mean age of students was 17 years. In terms of gender distribution, 57.1% of the sample was girls. Body mass index average was 21.21. The frequency of alexithymics was 40.5% with a mean score of 60.02. The frequency of students with potential ED was 33.3% with a mean score of 15.71. This prevalence of ED is higher among girls than boys (37.5% vs 27.8%, p =0.508). The prevalence of potential ED in the alexithymics (47.1%) was significantly higher than that in the non-alexithymics (24%).The TAS-20 scores were significantly correlated to the presence of ED (p = 0.026). The EAT-26 scores was significantly correlated to the Externally-Oriented Thinking subscale of theTAS-20 (p=0.001).Conclusion: Our study emphasizes the relationship between alexithymia and disorder of eating behavior among college students showing the difficulty in discriminating between feelings and physical sensations.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Bibliometrics, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.206
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0360.016
Science and technology studies0.0010.002
Scholarly communication0.0100.020
Open science0.0160.026
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0110.006

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 head0.065
GPT teacher head0.378
Teacher spread0.313 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueBiblioBoard Library Catalog (Open Research Library)French-language works237,207