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Record W3152497008 · doi:10.21608/jshp.2020.161577

الألکسیثمیا وعلاقتها بالأکل الانفعالی لدى عینة من المصریین المقیمین بالمملکة العربیة السعودیة فی ضوء بعض المتغیرات الدیموجرافیة المعدلة Alexithymia and its relationship to emotional eating among a sample of Egyptians residing in the Kingdom of Saudi Arabia in terms of some modified demographic variables

2020· article· ar· W3152497008 on OpenAlexaboutno aff

Bibliographic record

Venueمجلة بحوث و دراسات نفسية · 2020
Typearticle
Languagear
FieldHealth Professions
TopicProblem Solving Skills Development
Canadian institutionsnot available
Fundersnot available
KeywordsAlexithymiaToronto Alexithymia ScalePsychologyHappinessSadnessAngerEmotional eatingMarital statusAnxietyEating disordersResidenceClinical psychologyDemographySocial psychologyMedicinePsychiatryObesityEating behaviorPopulation

Abstract

fetched live from OpenAlex

تستهدف الدراسة الکشف عن العلاقة بين الألکسيثميا والأکل الانفعالي لدى عينة من المصريين المقيمين بالمملکة العربية السعودية في ضوء بعض المتغيرات المعدلة، کما تستهدف فحص الفروق بين الذکور والإناث مرتفعي الأکل الانفعالي ومنخفضيه في الألکسيثميا وأبعادها الفرعية. ولتحقيق هذه الأهداف تم ترجمة کل من مقياس تورنتو للألکسيثميا ومقياس سالزبورج للأکل الانفعالي، وتم تطبيقهما على أفراد العينة. ولم تکشف النتائج عن ارتباط الألکسيثميا بالأکل الانفعالي بعد عزل تأثير کل من (العمر ومستوى التعليم والنوع والحالة الاجتماعية ومدة الإقامة خارج الوطن)، باستثناء ارتباط الدرجة الکلية للأکل الانفعالي وبعض أبعاده الفرعية خاصة، (السعادة والحزن والغضب والقلق) بالتوجه الخارجي في التفکير؛ ما يعني أن العمر ومستوى التعليم والنوع والحالة الاجتماعية ومدة الإقامة خارج الوطن لم يمارسوا دورًا معدلًا للعلاقة بين الألکسيثميا والأکل الانفعالي وأبعادهما الفرعية. وکشفت النتائج عن وجود فروق بين الذکور والإناث في الألکسيثميا وبُعدي تحديد ووصف الانفعالات، ولم تؤيد وجود فروق بينهما في التوجه الخارجي في التفکير، کما لم تؤيد وجود فروق بين مرتفعي الأکل الانفعالى ومنخفضيه في الدرجة الکلية للألکسيثميا وبُعدي تحديد ووصف الانفعالات، بينما کانت هناک فروق بينهما في بعد التوجه الخارجي في التفکير. The study aims to reveal the relationship between alexithymia and emotional eating among a sample of Egyptians residing in the Kingdom of Saudi Arabia in terms of some modified demographic variables. It also aims to examine the differences between males and females with high and low emotional eating in alexithymia and its sub-dimensions. To achieve these goals, both the Toronto scale for alexithymia and the Salzburg scale for emotional eating were translated and applied to the individuals in the sample. The results did not reveal correlation between alexithymia and emotional eating after isolating the effect of age, level of education, gender, marital status, and length of residence outside the country), exceptionally the association of the total degree of emotional eating and some of its sub-dimensions (especially, happiness, sadness, anger, and anxiety) to the externally-oriented thinking; which means that Age, level of education, gender, marital status, and length of residence outside the home country did not modify the relationship between alexithymia and emotional eating and their sub-dimensions. The results revealed that there were differences between males and females in alexithymia and both identifying and describing emotions, and did not support the presence of differences between them in the externally-oriented thinking, nor did you support the presence of differences between high emotional eating and low levels in the total degree of alexithymia and both identifying and describing emotions, while there were differences between them in the externally-oriented thinking.

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)0.002
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 score0.020
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0200.003

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 head0.092
GPT teacher head0.336
Teacher spread0.243 · 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".

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Published2020
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