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Record W2979614560 · doi:10.5539/ijps.v11n4p53

Psychological Stress, Self-Compassion and Self-Punishment among Tension-Type Headache and Healthy University Students (A Comparative Study)

2019· article· en· W2979614560 on OpenAlexvenueno aff
Sawzan Sadaqa Basyouni

Bibliographic record

VenueInternational Journal of Psychological Studies · 2019
Typearticle
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologySelf-compassionPunishment (psychology)Clinical psychologyScale (ratio)CompassionPerceived Stress ScaleStress (linguistics)Developmental psychologyMindfulness

Abstract

fetched live from OpenAlex

Headache is one of the most common complaints among university students due to the lifestyle they lead and the academic and social burdens they have. The present study aims to identify the differences between Tension-Type Headache (TTH) and healthy university students regarding psychological stress, self-compassion, and self-punishment. It covered a sample of tension-type headache and healthy students visiting the medical center and university clinic at Umm Al-Qura University and University of Jeddah numbered (235) and aged (18-40) years. To achieve the study objectives, an analytical descriptive approach was adopted. A TTH scale and a psychological stress scale, prepared by the author, in addition to a self-compassion scale and a self-punishment scale were applied. Results revealed that there were statistically significant differences in the means of TTH and healthy students at the level of (0.01) on the scales of psychological stress, self-compassion, and self-punishment in favor of students with TTH. The study recommends developing consulting programs to reduce psychological stress, self-compassion, self-punishment, and their somatic symptoms among university students.

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 score0.002
Threshold uncertainty score0.006

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 studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.086
GPT teacher head0.443
Teacher spread0.356 · 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

Citations2
Published2019
Admission routes1
Has abstractyes

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