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Record W7006085336

Short-term Effects of Sling Exercise Combined with Massage on the Treatment of Neck Type Cervical Spondylopathy

2021· article· en· W7006085336 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicNationalism and Cultural Identity
Canadian institutionsnot available
Fundersnot available
KeywordsSling (weapon)MassageElectromyographyTrapezius muscleBiofeedbackNeck pain
DOInot available

Abstract

fetched live from OpenAlex

Objective: To observe the effects of sling exercise combined with massage in patients with neck type cervical spondylopathy (NTCS) by using surface electromyography (sEMG), and to explore the short-term effects on neck pain, neck disabilities and muscle fatigue.MethodsA total of ninety-three patients with neck type cervical spondylopathy who met the inclusion criteria were divided into three groups according to the random number table: massage group, sling exercise group and sling exercise combined with massage group, with 31 cases in each group. The three groups were treated with massage, sling exercise, sling exercise combined with massage therapy respectively, 30 minutes per time, once a day, 5 days per week, for a total of one week. Before and after treatment, the McGill Pain Questionnaire (MPQ) and the Neck Disability Index (NDI) were used to evaluate the cervical function and quality of life of patients, and the median frequency (MF) of the upper trapezius muscle was measured by electromyography biofeedback instrument.ResultsBefore treatment, the MPQ scores, NDI scores and MF value of the three groups were not statistically different (P>0.05). After treatment, the MPQ scores, NDI scores and MF value of the three groups were all improved (P<0.05); the MPQ scores and NDI scores of the three groups all decreased, and those of the massage group, sling exercise group and sling exercise combined with massage group were (16.68±2.52) scores, (17.06±1.71) scores, (15.03±1.66) scores, and (15.35±4.77) scores, (15.29±4.38) scores, (13.71±4.61) scores respectively; the MF value increased, the value on the left was (69.73±6.47) Hz, (70.05±7.40) Hz and (73.34±5.21) Hz respectively, and the value on the right was (63.29±8.66) Hz, (63.51±9.76) Hz and (65.85±8.21) Hz respectively, the differences were statistically significant (P<0.05); the short-term effects of sling exercise combined with massage group on neck pain, dysfunction and neck muscle fatigue were better than those of the massage group and the sling exercise group respectively (P<0.05), but there were no significant differences between the massage group and the sling exercise group (P>0.05). Further correlation analysis showed that the MPQ scores was negatively correlated with MF value (left: r=-0.626, P<0.05; right: r=-0.695, P<0.05); besides the NDI scores decreased with the increase of MF value (left: r=-0.692, P<0.05; right: r=-0.491, P<0.05), and the average MF value on the right was lower than that on the left.ConclusionSling exercise combined with massage can significantly reduce the patient's pain, activate and strengthen the neck muscles, improve the neck function of patients. At the same time, the sEMG can objectively reflect that sling exercise combined with massage has better short-term effects on the upper trapezius muscle.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.167
GPT teacher head0.508
Teacher spread0.341 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
Domainnot available
GenreEmpirical

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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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