Positive/ Negative Affect, Strategies of Cognitive Emotion Regulation and Alexithymia in Female Patients with Migraine Headache
Bibliographic record
Abstract
The most common headache, migraine, is a recurring and pulsing pain together with nausea, which may last for 4 to 72 hours. Since migraine has multiple biological, psychological, and environmental causes, it is considered a chronic disease by health psychologists. This comparative and investigative research aims to answer this essential question that whether positive and negative affections, cognitive emotion regulation strategies, and alexithymia as the psychological mechanisms are different in adolescent girls with and without migraine? Method: This research was a descriptive study of casual-comparative design. The sample consisted of two groups of girls with and without migraine, who were selected by convenience sampling and purposeful technique from therapeutic centers of Arak in 2017 (40 individuals per group). The participants completed Toronto Alexithymia Scale-20 (Bagbi, Parker, & Taylor, 1994), Cognitive Emotion Regulation Questionnaire (Garfenski, Kraaji, & Spin-hoven, 2002), and Positive and Negative Affect Schedule (Watson, Clark, & Tellegen, 1998). T-test and multivariate analysis of variance were used to analyze the data.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".