Mindfulness for female outpatients with chronic primary headaches: an internet-based bibliotherapy
Bibliographic record
Abstract
Our aim was to investigate effectiveness of mindfulness by bibliotherapy on disability, distress, perceived pain and mindfulness in women with tension headaches and migraines. Primary headaches have been of great interest to mental health researchers because of the high prevalence, as well as significant disability and distress in the affected people. Despite the promising results of in-person treatment and some limitations that such interventions may cause, patients may be encountered with problems when using health care services. The present study is a quasi-experimental randomized design with pre-test, post-test, and control group. The study population consisted of 1396 women with migraine headache referring to headache clinic of Baqiyatallah Hospital in Tehran. Of these, 30 patients (including tboh experimental and control group) were selected by objective sampling method and were randomly assigned to the two groups. The experimental group, in addition to medical treatment as usual, was treated for a period of 8 sessions by Mindfulness-based Stress Reduction Internet-based Bibliotherapy, but the control group used only the medical treatment. The sample had no attritions. Data were collected by the four scales of (DASS-21), Migraine Disability Assessment Test (MIDAS), McGill's Short Form Questionnaire (MPQ-SF), and Mindfulness Inventory (MAAS). We used covariance analysis to analyze the findings in the measured scales. MBSR-IBB treatment had no significant effect on pain sensory dimension (P <0.44), despite improvement of mindfulness (P <0.0001). In contrast, the greatest effect was on the level of disability (P <0.0001). We observed also a significant improvement in distress (P <0.0001). In conclusion, in spite of the presence of headaches, the mindfulness improved the quality of life and reduced the level of mental distress. In addition, using the Internet-based bibliotherapy method, these services can be used with easier access, lower cost, and more flexibility.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.008 | 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".