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Record W4406788953 · doi:10.1097/md.0000000000041265

The effect of dynamic neuromuscular stabilization technique combined with Kinesio Taping on neuromuscular function and pain self-efficacy in individuals with chronic nonspecific low back pain: A randomized trial

2025· article· en· W4406788953 on OpenAlexaboutno aff
Peng Hei, Zhe Zhang, Jiaxin Wei, C. Lan, Xinyu Wang, Xueyi Jing, Xuexue Chen

Bibliographic record

VenueMedicine · 2025
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineVisual analogue scaleIsometric exerciseOswestry Disability IndexPhysical therapyMcGill Pain QuestionnaireLow back painRandomized controlled trialPhysical medicine and rehabilitationElectromyographyLumbarRehabilitationBack painSurgery

Abstract

fetched live from OpenAlex

BACKGROUND: This study investigates the therapeutic efficacy of dynamic neuromuscular stabilization (DNS) technology paired with Kinesio Taping in patients with persistent nonspecific low back pain, as well as the effect on neuromuscular function and pain self-efficacy. METHODS: A randomized controlled clinical study was conducted to collect clinical data on DNS combined with KT for the treatment of chronic nonspecific low back pain from November 2023 to April 2024. The inclusion criteria were patients with chronic nonspecific lower back pain, aged between 18 and 30 years old, and without serious underlying medical conditions, such as cardiac disease, hypertension, and diabetes. The control group received Kinesio Tape therapy, and the experimental group received a combination of Kinesio Tape therapy and DNS technology. The treatment lasted for 6 weeks, 3 times a week. Patients were examined before and after treatment using the Visual Analog Rating Scale, Oswestry Dysfunction Score, and Pain Self-Efficacy Questionnaire. Multifidus and transversus abdominis muscle strength was tested using surface electromyography signals, and the patient's joint mobility, maximal isometric muscle strength, and muscular endurance were tested using the Davy Spine Rehabilitation System. Internal lumbar and abdominal pressures were assessed using stabilizer pressure biofeedback. RESULTS: A total of 32 subjects (17 males and 15 females) were enrolled, of which 16 were in the experimental group and 16 in the control group. After the treatment, the patients in both groups showed significant improvements in the visual analogue scale, Oswestry disability index, Chinese version of Pain Self-Efficacy Questionnaire (PSEQ), joint mobility, maximum isometric strength, muscle endurance, abdominal pressure, transverse abdominal muscle and multifidus muscle scales compared with the pretreatment results. (Chinese version of Pain Self-Efficacy Questionnaire) scales were significantly improved compared with the pretreatment; joint mobility, maximal isometric muscle strength, muscular endurance, intra-abdominal pressure, transversus abdominis and multifidus AEMG (average electromyography) were more significantly improved, and the differences were statistically significant (P < .05). The experimental group showed more significant improvement than the control group (P < .05). CONCLUSION: DNS technology paired with Kinesio Taping can considerably improve neuromuscular function and enhance pain self-efficacy in chronic nonspecific low back pain patients, reducing discomfort and improving dysfunction.

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)0.004
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0050.003
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0060.001

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.

Opus teacher head0.004
GPT teacher head0.239
Teacher spread0.235 · 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 designRandomized 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".

Quick stats

Citations3
Published2025
Admission routes1
Has abstractyes

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