The Effects of Massage Therapy on Post-traumatic Stress Disorder: A Case Report
Bibliographic record
Abstract
Objective: To observe the effects of massage on generalized anxiety stemming from post-traumatic stress disorder (PTSD). The patient was seeking massage for relief from the symptoms of PTSD with the primary symptom to be addressed in treatment being anxiety. Methods: The client was a 25-year-old female who experienced PTSD from domestic abuse. The Generalized Anxiety Disorder 7-item assessment was used to measure anxiety throughout the study at the beginning of each session. The patient received six sessions of massage using several different massage modalities based on education requirements and to explore the most efficacious treatment techniques for the client. The different massage modalities that were used were neuromuscular therapy, myofascial release, cupping, craniosacral, and hot rocks. Results: The client's presenting concerns included anxiety, pounding heart, shortness of breath, nausea and abdominal discomfort, and sweating. The client experienced a decrease in anxiety which meet the criteria for a minimal clinically important difference. The client experienced a small reduction in PTSD symptoms over the course of the six sessions. The client's preferred massage modalities were craniosacral and hot rocks as she perceived the most benefit from these massage modalities. Conclusion: Massage is a treatment option for individuals with anxiety and symptoms related to PTSD and different massage techniques, while all appearing to be helpful, should be utilized as per the client's preference.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".