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ArticleFrontiers in bioengineering and biotechnology2025

Normative isokinetic knee strength values and prediction models in non-athletic Chinese adults.

Kun Liu, Lulu Yin, Ye Zhang, Gongliang Liu, Ping Fang, Yanhong Ma, Lihua Huang

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

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.

2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Kun Liu *Department of Rehabilitation Medicine, Shanghai Sixth People's Hospital, Shanghai, China.
Lulu Yin *Key Laboratory of Exercise and Health Sciences (Shanghai University of Sport), Ministry of Education, Shanghai, China.
Ye ZhangDepartment of Rehabilitation Medicine, Shanghai Sixth People's Hospital, Shanghai, China.
Gongliang LiuDepartment of Rehabilitation Medicine, Shanghai Sixth People's Hospital, Shanghai, China.
Ping FangDepartment of Rehabilitation Medicine, Shanghai Sixth People's Hospital, Shanghai, China.
Yanhong MaDepartment of Rehabilitation Medicine, Shanghai Sixth People's Hospital, Shanghai, China.
Lihua HuangDepartment of Rehabilitation Medicine, Shanghai Sixth People's Hospital, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Establishing normative isokinetic muscle strength values and prediction models for knee joints in non-athletic healthy Chinese adults aids in clinical assessments, diagnosis, and rehabilitation. However, there has been limited research on these normal reference values, particularly involving large sample cohorts. Therefore, this study aimed to develop normative reference values and predictive models for knee joint isokinetic muscle strength across different age groups and genders in non-athletic healthy Chinese adults. Methods: A total of 2,208 participants aged between 20-70 years old were included in the study. The participants were divided into two groups by gender and further divided into five age groups: 20-29, 30-39, 40-49, 50-59 and 60-69 years old, resulting in a total of 10 groups. Key parameters, including peak torque of knee flexors and extensors, relative peak torque, peak torque ratio of flexors to extensors, peak torque angle and work, were collected using an isokinetic dynamometer at angular velocities of 60°/s and 180°/s. Two-way analysis of variance was utilised to analyse the characteristics and differences of these parameters amongst different age groups and genders. Pearson correlation coefficients were calculated to examine the relationships between these parameters and gender, age, height, weight and body mass index. Predictive models were developed using linear regression and various machine learning techniques. Results: Males exhibited significantly higher knee isokinetic strength values than females across all age groups, with knee extensor strength 20.47%-38.01% higher and knee flexor strength 22.91%-43.42% higher at both 60°/s and 180°/s. Muscle strength showed a moderate negative correlation with age, indicating a decline with increasing age. Extension strength values were greater than flexion, and measurements at 180°/s were lower compared to 60°/s. The multilayer perceptron regressor demonstrated the highest predictive capability among the models tested. Conclusion: This study provides comprehensive normative reference values and predictive models for knee joint isokinetic muscle strength in non-athletic healthy Chinese adults. The results highlight significant gender and age differences, offering valuable data for clinical assessments and personalized rehabilitation strategies to improve knee joint health and overall quality of life.

Indexed as

isokinetic strengthknee jointmachine learningnormal reference valueprediction models

Identifiers

PMID40470506
PMCPMC12133959

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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.