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Record W7117124951 · doi:10.61113/ijiap.v3i9.1141

Understanding Emotional Eating through the lens of Alexithymia and Psychological Distress among Young Adults

2025· article· W7117124951 on OpenAlexaboutno aff
Jasleen Kaur

Bibliographic record

VenueInternational Journal of Interdisciplinary Approaches in Psychology · 2025
Typearticle
Language
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsnot available
Fundersnot available
KeywordsAlexithymiaYoung adultPsychological distressEmotional distressCoping (psychology)DistressEmotional eatingToronto Alexithymia Scale

Abstract

fetched live from OpenAlex

Emerging adulthood is a pivotal developmental stage wherein unresolved emotional difficulties often manifest in maladaptive behaviour patterns. Emotional eating has emerged as an ill-adjusted coping mechanism frequently associated with elevated psychological distress and deficits in emotional processing. Alexithymia, defined as the inability to identify and articulate emotions has been strongly implicated in such behavioural patterns. Psychological distress, a state of physical, mental, or emotional suffering experienced by an individual further exacerbates vulnerability to emotional eating. The present study aimed to investigate the effects of alexithymia and psychological distress on emotional eating among young adults. A sample of 50 young adults was collected in the age range of 18-27 years. Standardised tools were used to measure emotional eating, alexithymia and psychological distress. The results revealed a significant positive correlation between alexithymia and emotional eating. The results also state a significant positive correlation between psychological distress and emotional eating. Moreover, a positive correlation is also observed between alexithymia and psychological distress among young adults.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
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 head0.141
GPT teacher head0.406
Teacher spread0.264 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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