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Record W4401633244 · doi:10.61707/3wtnsb31

The Creation of Music Therapy to Relieve Muscle Pain from Office Syndrome

2024· article· en· W4401633244 on OpenAlex
Xiaochen Zhang, Pramote Phokha

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Journal of Religion · 2024
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Music Perception
Canadian institutionsnot available
Fundersnot available
KeywordsMusic therapyMedicinePhysical therapyMcGill Pain QuestionnaireGuided imageryVisual analogue scaleManual therapyPhysical medicine and rehabilitationAnxietyAlternative medicinePsychiatry

Abstract

fetched live from OpenAlex

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.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.637
Threshold uncertainty score0.219

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.028
GPT teacher head0.302
Teacher spread0.274 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it