ArticleMuscles (Basel, Switzerland)2023
W Prime: Evidence-Based Proposal for a New Predictor of Gait Speed in Older Women.
Article in Muscles (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- Caffeine optimizes Zumba training benefits on functional performances in middle-aged women: a randomized trial study.Scientific reports · 2024Trial
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe hyperbolic torque-duration curve depicts critical torque (CT) and W prime (W'), with the curve's asymptote representing CT as the boundary between heavy- and severe-intensity domains. W', the curvature constant, indicates cumulative work beyond CT. This study investigated age-related reductions in W', CT, and gait speed, and whether W' and CT predict gait speed independently of muscle torque.
methodsthree groups (adults, middle-aged, older) totaling 131 women were studied. W' and CT were determined using 60 maximal isometric voluntary contractions of knee extensors. The fast gait speed was calculated in walking tests at 10 m, 400 m, and six minutes (6 MWT).
resultsgait speed decreased (
conclusionsaging led to declines in W', CT, and gait speed. W', not CT, remained a significant predictor of gait speed, indicating its importance for older women's mobility.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.