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THE EFFECT OF SPINAL STABILISATION TRAINING ON SPINAL MOBILITY, VERTICAL JUMP, AGILITY, AND BALANCE

2003· article· en· W2022354418 on OpenAlexaff
Jonathan Mills, Jack Taunton

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2003
Typearticle
Languageen
FieldHealth Professions
TopicSports and Physical Education Research
Canadian institutionsUniversity of VictoriaUniversity of British Columbia
Fundersnot available
KeywordsMedicineBalance (ability)AthletesPhysical therapyPhysical medicine and rehabilitationLumbarPopulationRange of motionSurgery

Abstract

fetched live from OpenAlex

In a population of patients with chronic low back pain (CLBP), spinal stabilization training has been shown to relieve symptoms and improve range of motion of the hips and lumbar spine. However, no study has yet shown that this type of training improves the stability of the spine in either healthy or CLBP patients. Furthermore, while stabilization training is used by athletes across a diversity of sport backgrounds, a correlation between spinal stability and athletic performance has not been quantified. PURPOSE To determine if spinal stability can be enhanced in a group of college-aged athletes and to quantify a possible relationship between spinal stability and athletic performance. METHODS 36 subjects (20 +/- 1.2 yrs) were randomly assigned to either one of two treatment groups and a control group. Over a ten-week period members of treatment group A performed spinal stabilization training exercises 4 days per week while members of treatment group B performed an equivalent volume of traditional abdominal exercises. The control group performed no exercise in addition to their specific sport training. At weeks 0, 5, and 10 spinal stability, vertical jump, agility, and balance were assessed. Comparisons were made using ANOVA for repeated measures. RESULTS Improvements in spinal stability were greater for group A when compared with the improvements of either group B or the control (10 +/- 1.25 vs. 3 +/- 1 vs. 2.5 +/- 0.75 mmHg, p < 0.05). Greater improvements were also observed in group A for agility (0.57 vs. 0.23 vs. 0,20 sec., p < 0.05) and balance (18 vs. 12 vs. 11 sec, p < 0.05) tests. However, no difference was noted between groups for the vertical jump assessment.

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)0.003
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 score0.047
Threshold uncertainty score0.796

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
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 head0.065
GPT teacher head0.453
Teacher spread0.388 · 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
Published2003
Admission routes1
Has abstractyes

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