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Record W7043763134

Strength Training And Physical Function: Role of Self-Efficacy

2025· dissertation· en· W7043763134 on OpenAlexaboutno aff

Bibliographic record

VenueWakeSpace Scholarship (Wake Forest University) · 2025
Typedissertation
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsnot available
Fundersnot available
KeywordsStrength trainingRandomized controlled trialPhysical strengthOsteoarthritisWOMACIntervention (counseling)Muscle strengthPhysical fitness
DOInot available

Abstract

fetched live from OpenAlex

Background: The occurrence of knee osteoarthritis (OA) poses a significant problem for individuals' physical function. Strength training impacts physical function through improvements at the muscular level, where activities of daily living may feel easier to accomplish and may also positively impact perceptions of ability and physical symptoms. Therefore, this study aims to explore whether a strength training intervention leads to changes in self-efficacy and whether changes in self-efficacy mediate the effects of strength training on physical function. Methods: The Strength Training for Arthritis Trial (START) included 377 community- dwelling adults (≥ 50 years) with a body mass index ranging from 20 to 45, knee pain, and radiographic knee OA, who self-reported disability due to knee OA. Measures of Adherence Self-Efficacy, 6-minute Walk Distance, Western Ontario and McMaster Universities OA Index for physical function, and the SF-36 Physical Component Score were collected before randomization and again at an 18-month follow-up in adults who were assigned to 1 of 3 treatment conditions: high-intensity strength training, low-intensity strength training, or attention control. Results: Among 377 randomized participants (mean age, 65 years; 151 women [40%]), 320 (85%) completed the trial. The intervention had a significant positive effect on self-efficacy across all outcomes (ꞵ = 0.24-0.26, p < 0.001). Self-efficacy significantly mediated treatment effects on strength training and physical function across all measures (SF-36 PCS, WOMAC Function, and 6MWD; p < .05). Conclusions: Results supported that a strength training intervention led to improvements in self-efficacy and that self-efficacy mediated the relationship between strength training and physical function. Strength training programs designed to influence aspects of physical function should consider methods to improve self-efficacy and assist individuals with managing physical symptoms. This study was supported by grants 1R01AR059105-01 from the National Institute of Arthritis and Musculoskeletal and Skin Diseases and P30 AG21332 from the National Institute on Aging.

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)0.010
metaresearch head score (Gemma)0.021
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 score0.010
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.021
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.013
GPT teacher head0.235
Teacher spread0.222 · 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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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