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Record W4416108302 · doi:10.55248/gengpi.6.1025.3654

Examining the Relationship between Emotion Regulation, Alexithymia, and Perceived Stress in Women with Breast Cancer Mediated by Perceived Social Support

2025· article· W4416108302 on OpenAlexaboutno aff

Bibliographic record

VenueInternational Journal of Research Publication and Reviews · 2025
Typearticle
Language
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsSocial supportBreast cancerStress (linguistics)PerceptionAffect (linguistics)Psychological stress

Abstract

fetched live from OpenAlex

This research aims to determine the relationship between emotion regulation, Alexithymia, and perceived stress in women with breast cancer, with the mediation of perceived social support.This study is both descriptive and correlational in nature, as it is based on the subject matter and its objectives.The statistical population of this research consists of women with breast cancer in Sari County in 2023 who were undergoing treatment.Due to accessibility conditions, 127 participants were selected using purposive sampling.Data were collected using the Emotion Regulation Questionnaire by Garnefski and Kraaij (2006), the Toronto Alexithymia Scale (1994), the Perceived Stress Scale by Cohen (1983), and the Perceived Social Support Scale by Zimet (1988).The data were then analyzed using regression analysis in larger dimensions (path analysis) using SPSS and Smart PLS software.The results indicated that there is a significant positive relationship between emotion regulation, Alexithymia, and perceived stress in women with breast cancer, mediated by perceived social support (p < 0.05), thus accepting the main hypothesis of the research.

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)0.004
metaresearch head score (Gemma)0.001
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 score0.082
Threshold uncertainty score0.536

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.093
GPT teacher head0.414
Teacher spread0.322 · 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.

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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