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Association between Quadriceps Strength and Self-Reported Physical Activity in Individuals with Knee Osteoarthritis

2019· article· en· W2954193321 on OpenAlexaboutno aff
Malia N.M. Blue, Abbie E. Smith‐Ryan, Hope Davis‐Wilson, J. Troy Blackburn, Brian Pietrosimone

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2019
Typearticle
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineOsteoarthritisIsometric exercisePhysical therapyBody mass indexKnee painKnee JointInternal medicineSurgery

Abstract

fetched live from OpenAlex

Limited quadriceps strength is common with knee osteoarthritis (OA) and may lead to activity avoidance and low physical activity (PA) levels. PURPOSE: To investigate the association between quadriceps strength and self-reported PA in individuals with knee OA. Secondary analyses evaluated the association between a change (Δ) in quadriceps strength and self-reported PA following a 4-week physical therapy intervention designed to improve lower extremity strength. METHODS: Ninety individuals with radiographic knee OA were enrolled in the current study (43% male; Kellgren-Lawrence grade: 2-4). Assessments occurred at baseline, post intervention, and 4 weeks after intervention completion. At each testing visit, participants completed the Physical Activity Scale for the Elderly (PASE), the Western Ontario and McMaster Universities Arthritis Index pain subscale, and a quadriceps maximal voluntary isometric contraction (MVIC) performed at 70° of knee flexion measured with an isokinetic dynamometer. Multiple regression analyses were conducted to assess the association between MVIC normalized to body mass (nMVIC - predictor variable) and PASE after accounting for age, body mass index, radiographic OA severity, and pain. RESULTS: For all participants at baseline, there was a significant association between greater nMVIC and greater PASE (ΔR2=0.049, p=0.033) after accounting for covariates. When stratified by sex, nMVIC was not associated with PASE (Males: ΔR2=0.045, p=0.197; Females: ΔR2=0.011, p=0.432). There was no association between the ΔnMVIC and ΔPASE following the intervention (Total: ΔR2=0.043, p=0.072; Males: ΔR2=0.071, p=0.106; Females ΔR2=0.008, p=0.585), or 4 weeks post intervention (Total: ΔR2=0.001, p=0.845; Males: ΔR2=0.009, p=0.629; Females: ΔR2=0.002, p=0.773). CONCLUSIONS: Although greater quadriceps strength was associated with greater self-reported PA, nMVIC only explained 4.9% of the variance in PASE. Post intervention, a change in strength was not associated with a change in PA. Therapeutic interventions aimed at increasing strength may not lead to a subsequent increase in PA. Future studies should investigate the influence of interventions incorporating PA and strength on health and physical function in individuals with knee OA. Supported by NIH NIAMS 1R21AR067560-01.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
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 head0.262
Teacher spread0.253 · 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 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
Published2019
Admission routes1
Has abstractyes

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