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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/127507


    Title: Dynamic Analysis of Upper- and Lower-Extremity Performance During Take-Offs and Landings in High-Wall Climbing: Effects of a Plyometric and Strength Training Intervention
    Authors: Wen-Lung Shih, Ming-Lang Yeh , Ming-Hsi Chuang and Cheng-En Wu
    Keywords: climbing high wall;plyometric and strength training;ground reaction force;ballistic push-ups;dynamic analysis
    Date: 2024-11-05
    Issue Date: 2025-07-21 12:05:18 (UTC+8)
    Publisher: MDPI
    Abstract: This study used a 12-week plyometric and strength training program as an intervention to improve upper- and lower-extremity muscle strength for jumping and landing when climbing high walls. Sixty general non-athlete male college students were openly recruited and divided into an experimental group and a control group. The experimental group underwent a plyometric and strength training program twice a week for 12 weeks (24 sessions). The intervention was divided into three phases, each lasting four weeks, with the training intensity gradually increasing in each phase. A hand grip dynamometer was used to measure grip strength, and a PASCO double-track force plate was used to assess upper-extremity push-up force and lower-extremity take-off and landing strength. The results of the 12-week intervention showed that the experimental group experienced significant increases in grip strength (both hands), hand-ground reaction force, and upper-extremity hang time. Additionally, the time of upper-extremity action on the force plate decreased. Lower-extremity take-off strength improved, as reflected in increased ground reaction force, rate of force development, and passage time. Upon landing, ground reaction force decreased by 3.2%, and cushioning time shortened by 52.7%. This study concludes that plyometric and strength training have promising effects in enhancing upper- and lower-extremity strength, particularly in climbing and landing tasks.
    Relation: Applied Sciences 14(22), 10137
    DOI: 10.3390/app142210137
    Appears in Collections:[Graduate Institute of Intelligent Healthcare Industry] Journal Article

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