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Record W3203848303 · doi:10.3233/ies-210193

The association of lower trunk muscle strength with low back pain in elite lightweight judokas is dependent on lumber spine abnormalities

2021· article· en· W3203848303 on OpenAlexaff
Takashi Okada, Kazunori Iwai, Takayoshi Hakkaku, Koichi Nakazato

Bibliographic record

VenueIsokinetics and Exercise Science · 2021
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsWestern University
Fundersnot available
KeywordsMedicineTrunkLow back painWeaknessPhysical therapyLumbarPhysical medicine and rehabilitationAnatomyPathology

Abstract

fetched live from OpenAlex

BACKGROUND: Lumbar radiological abnormalities (LRA) and trunk muscle weakness are major causes of the low back pain (LBP). We reported that the prevalence of LRA was approximately 90% in middle- and heavyweight-judokas, independent to the occurrence of LBP. However, the trunk muscle weakness, especially the rotators, plays a key role in occurrence of LBP in heavyweight judokas. OBJECTIVE: To examine the trunk muscle strength (TMS) and LRA impact on LBP occurrence in lightweight judokas. METHOD: The strength of the trunk extensors, flexors, and rotators was measured in 32 lightweight male judokas. LBP and LRA were identified using a questionnaire, X-ray, and MRI. RESULTS: The occurrence rate of LBP and LRA were 40.6% and 62.5%, respectively, without any significant correlation. Among judokas without LRA, TMS of those with LBP were significantly lower than those without LBP ([Formula: see text] 0.05, the extensor; 60[Formula: see text]/s: ES [d] [Formula: see text] 1.38, 90[Formula: see text]/s: ES [d] [Formula: see text] 0.78, and 120[Formula: see text]/s: ES [d] [Formula: see text] 0.37, flexor; 60[Formula: see text]/s: ES [d] [Formula: see text] 1.48, dominant rotator; 60[Formula: see text]/s: ES [d] [Formula: see text] 1.66, and 90[Formula: see text]/s: ES [d] [Formula: see text] 1.87, non-dominant rotator; 90[Formula: see text]/s: ES [d] [Formula: see text] 0.17, and dominant/non-dominant rotator ratio; 90[Formula: see text]/s: ES [d] [Formula: see text] 1.55). Moreover, there were significant negative correlations between LBP severity and TMS ([Formula: see text] 0.05, the extensor; 90[Formula: see text]/s: [Formula: see text] [Formula: see text]0.63, dominant rotator; 90[Formula: see text]/s: [Formula: see text] [Formula: see text]0.648, and dominant/non-dominant rotator ratio; 90[Formula: see text]/s: [Formula: see text] [Formula: see text]0.621) in judokas without LRA. CONCLUSION: Weak trunk musculature may be a co-factor in the occurrence of LBP in lightweight judokas without LRA.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.753
Threshold uncertainty score0.266

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.004
GPT teacher head0.229
Teacher spread0.225 · 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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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