ArticleBMC public health2023
New prediction equations for knee isokinetic strength in young and middle-aged non-athletes.
Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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
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Who cites it
5 citing papers in PubMed.
- Article
- Heavy Metal Transfer from Cigarette Smoke to Lung Tissue: Inducing on Pulmonary Function and Bronchoalveolar Microbiome Dysregulation in Rats.Biological trace element research · 2026Article
- Isokinetic Strength Profile of the Wrist Muscles: A Study of Healthy Women and Men.Journal of functional morphology and kinesiology · 2025Article
- Normative isokinetic knee strength values and prediction models in non-athletic Chinese adults.Frontiers in bioengineering and biotechnology · 2025Article
- Impact of a 20-Week Resistance Training Program on the Force-Velocity Profile in Novice Lifters Using Isokinetic Two-Point Testing.Journal of functional morphology and kinesiology · 2024Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
backgroundThis study aimed to develop alternative prediction equations to predict isokinetic muscle strength at 60°/s based on anthropometric characteristics, including body mass, height, age, and sex for young and middle-aged non-athlete populations.
methodsThree hundred and thirty-two healthy non-athletic participants (174 females, 158 males) between 20 and 59 years underwent a 60°/s isokinetic knee joint concentric contraction test. Forty people were randomly selected for retesting to assess the reliability of the isokinetic instrument. Multivariate linear regression was used to establish extension peak torque (EPT) and flexion peak torque (FPT) prediction equations. Sixty extra participants were used individually to validate the prediction equations, and Bland Altman plots were constructed to assess the agreement of predicted values with actual measurements.
resultsThe result demonstrated that the instrument we used has excellent reliability. The multivariable linear regression model showed that body mass, age, and sex were significant predictors of PT (EPT: Adjusted R
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Registered trials
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