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Record W2088459261 · doi:10.1139/h00-018

Health-Related Fitness, Physical Activity, and History of Back Pain

2000· article· en· W2088459261 on OpenAlexaff
Nancy Payne, Norman Gledhill, Peter T. Katzmarzyk, Veronica Jamnik

Bibliographic record

VenueCanadian Journal of Applied Physiology · 2000
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsYork University
Fundersnot available
KeywordsWaistTrunkPhysical therapyLow back painMedicineBack painPhysical fitnessPhysical activityDiscriminant function analysisGirth (graph theory)CircumferencePhysical medicine and rehabilitationPsychologyBody mass indexInternal medicineMathematicsBiologyAlternative medicine

Abstract

fetched live from OpenAlex

The relationship between history of back pain and measurements of both health-related fitness and physical activity participation was examined in 233 males and 287 females aged 15-69 years. Participants were divided by gender into those reporting no history (NH) or a history (H) of recurring back pain. Analysis of variance indicated that trunk flexion, back extensor endurance, and physical activity participation were significantly higher for NH and waist girth significantly lower for NH in both genders. In females, mean abdominal muscular endurance was significantly higher in NH. Forward stepwise discriminant function analyses indicated that the best discriminators between NH and H were back extensor endurance and physical activity participation in both genders and waist girth in females. These findings support using measurements of trunk flexion, abdominal muscular endurance, back extensor endurance, physical activity participation, and waist girth as indicators of back fitness in the evaluation of back health.

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)0.000
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 score0.925
Threshold uncertainty score0.694

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.010
GPT teacher head0.237
Teacher spread0.227 · 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

Citations39
Published2000
Admission routes1
Has abstractyes

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