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Record W4400605972 · doi:10.36106/paripex/7204493

A STUDY TO COMPARE THE EFFECTIVENESS OF FELDENKRAIS EXERCISE VERSUS PILATES EXERCISE ON FUNCTIONAL DISABILITY AND CORE MUSCLE ENDURANCE IN SUBJECTS WITH NONSPECIFIC CHRONIC LOW BACK PAIN

2024· article· en· W4400605972 on OpenAlexaboutno aff
Swetha Kuppusamy, S. Ramkumar, Balaji Kuppusamy

Bibliographic record

VenuePARIPEX INDIAN JOURNAL OF RESEARCH · 2024
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsnot available
Fundersnot available
KeywordsPhysical medicine and rehabilitationPhysical therapyMedicineCore (optical fiber)Exercise therapyRandomized controlled trialComputer scienceSurgery

Abstract

fetched live from OpenAlex

Low back pain is the most common health problem and has a huge impact on adults. Worldwide LBP is the problem that causes a greater number of years of disability. It leads to loss of functionality and affects ADL activities and Quality of life. The prevalence of LBP is more in undergraduate students of medical college in the age group of 18 to 25. The sample of 30 students with Non-specific chronic LBP was selected based on inclusion criteria, they were divided into group A (15), and group B (15), and these groups trained with specific training exercises for 6 weeks. After the training for 6 weeks, postassessment was done using QBPDS and McGill endurance test. The statistical analysis done by using unpaired 't' test with the values of Group A and Group B shows the significance of (p<0.05). Between the group analysis of the post values shows in the Group B is significant than Group A. After the statistical analysis, it shows that there is an improvement in core muscle endurance and functional disability in Group B (Pilates exercise) than Group A (Feldenkrais exercise) which shows that Group B is more significant than Group A.

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 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)0.010
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.074
Threshold uncertainty score0.374

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.054
GPT teacher head0.367
Teacher spread0.313 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

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