The Effectiveness of Thai Massage and Joint Mobilization
Bibliographic record
Abstract
BACKGROUND: Non-specific low back pain (LBP) is a common health problem resulting from many risk factors and human behaviors. Some of these may interact synergistically and have been implicated in the cause of low back pain. Massage both traditional Thai massage and joint mobilization as a common practice has been shown to be effective for some subgroup of nonspecific LBP patients. PURPOSE AND SETTING: The trial compared the effectiveness between traditional Thai massage and joint mobilization for treating nonspecific LBP. Some associated factors were included. The study was conducted at the orthopedic outpatient department, Lerdsin General Hospital, Bangkok, Thailand. METHODS: Prospective, randomized study was developed without control group. The required sample size was estimated based on previous comparative studies for effectiveness between techniques. Two primary outcome measures were a 0 to 10 visual analog scale (VAS) of pain and Oswestry Disability Index (ODI). Secondary outcome measures were satisfaction of patients and adverse effects of the treatment. The "intention to treat" (ITT) and per protocol approach were used to compare the significance of the difference between treatment groups. PARTICIPANTS: One hundred and twenty hospital outpatients, 20 (16.7%) male and 100 (83.3%) female, were randomized into traditional Thai massage and joint mobilization therapy. The average age of traditional Thai massage and joint mobilization was 50.7 years and 48.3 years, respectively. Both groups received each treatment for approximately 30 minutes twice per week over a four-week period. Total course did not exceed eight sessions. RESULT: With ITT, the mean VAS of traditional Thai massage group before treatment was 5.3 (SD = 1.7) and ODI was 24.9 (SD = 14.7), while in joint mobilization groups, the mean VAS was 5.0 (SD = 1.6) and ODI was 24.6 (SD = 15). After treatment, the mean VAS and ODI were significantly reduced (VAS = 0.51 (SD = 0.89) and ODI = 8.1 (SD = 10.7) for traditional Thai massage, VAS = 0.86 (SD = 1.49) and ODI = 8.26 (SD = 12.97) for joint mobilization). Constipation was found in 34 patients (28.3%). CONCLUSION: The traditional Thai massage and joint mobilization used in this study were equally effective for short-term reduction of pain and disability in patients with chronic nonspecific LBP. Both techniques were safe with short term effect in a chosen group of patients.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".