The Creation of Music Therapy to Relieve Muscle Pain from Office Syndrome
Bibliographic record
Abstract
The study investigates music therapy's clinical efficacy and underlying mechanisms in treating chronic musculoskeletal pain (CMP) in office workers. The research objectives include studying the symptoms of muscle pain resulting from office syndrome, analyzing the effectiveness of music therapy in relieving muscle pain from office syndrome, and creating and evaluating three music therapy compositions specifically designed for this purpose. The study uses a mix of methods, including a literature review on office syndrome and music therapy, the creation of three therapeutic music pieces, and clinical trials with 12 CMP patients split into three groups: control (medication only), experimental group 1 (music therapy), and experimental group 2 (medication and music therapy combined). Data collection and assessment tools include the Life Information Scale, which incorporates traditional Chinese metaphysics to tailor personalized therapies; the GAD-7 scale for measuring anxiety levels; the PHQ-9 for assessing depression levels; the Simplified McGill Pain Questionnaire (SF-MPQ) for evaluating pain intensity and quality; and the PSQI for assessing sleep quality. Findings indicate that common symptoms of office syndrome include muscle pain, stiffness, headaches, and eye fatigue, often aggravated by poor posture and prolonged sitting. The preliminary results show that music therapy can significantly reduce muscle tension, improve blood circulation, and enhance mental well-being. The study emphasizes the importance of integrating music therapy with ergonomic adjustments and regular physical activity. The three compositions created for the study incorporate soothing melodies, rhythms, and harmonies designed to promote relaxation and pain relief, integrating brainwave entrainment techniques such as binaural beats to enhance therapeutic effects. The study concludes that music therapy, particularly when combined with ergonomic and lifestyle interventions, can effectively alleviate muscle pain associated with office syndrome. Recommendations for future research include expanding sample sizes, exploring different musical genres, and integrating advanced AI technology to personalize music therapy further.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".