Developing a training method for children's lower limb explosive power and its predictive model

Liu, J, Liu, C and Zhang, Q (2025) Developing a training method for children's lower limb explosive power and its predictive model. Isokinetics and Exercise Science. ISSN 0959-3020

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Abstract

Background: Explosive power, an essential component encompassing both speed and strength, plays a fundamental role in various physical activities, crucial for both competitive sports and general fitness. Objective This research presents an investigation into methodologies for enhancing lower limb explosive power in children aged 6–12 years. It also employs data-driven techniques in correlation analyses and modelling. Methods The study involved an 8-week experiment of training lower limb explosive power using squat jump, 15-metre sprint, hurdle hop, etc. The explosive power was measured using a TENDO device. Combined with correlation analysis and linear regression, predictive models of children's lower limb explosive power have been developed through a data-driven approach using a fuzzy rule-based system. Results Correlation analyses reveal significant associations between changes in explosive power and metrics such as vertical jump height and 30-meter sprint time. Regression analyses produce predictive equations tailored to gender-specific differences. The predictive models derived with the fuzzy rule-based system demonstrate good accuracy. Conclusions The proposed training programme effectively contributes to the enhancement of the lower limb power in children, while the advanced modelling techniques furnish precise prognostic tools, facilitating nuanced and targeted training interventions.

Item Type:	Article
Uncontrolled Keywords:	42 Health Sciences; 4207 Sports Science and Exercise; Clinical Research; Pediatric; 0913 Mechanical Engineering; 1106 Human Movement and Sports Sciences; Sport Sciences; 3202 Clinical sciences; 4207 Sports science and exercise
Subjects:	R Medicine > RC Internal medicine > RC1200 Sports Medicine T Technology > TA Engineering (General). Civil engineering (General)
Divisions:	Engineering
Publisher:	SAGE Publications
Date of acceptance:	19 March 2025
Date of first compliant Open Access:	2 June 2025
Date Deposited:	02 Jun 2025 14:27
Last Modified:	02 Jun 2025 14:30
DOI or ID number:	10.1177/09593020251339371
URI:	https://researchonline.ljmu.ac.uk/id/eprint/26487

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