ArticleJournal of human kinetics2018
Comparative Study of Kinematics and Muscle Activity Between Elite and Amateur Table Tennis Players During Topspin Loop Against Backspin Movements.
Article in Journal of human kinetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed, 41 citations in OpenAlex.
- Kinematics of Topspin Stroke Combinations in Table Tennis and its Inter-Individual Variability.Journal of sports science & medicine · 2025Review
- Chasse-Step and One-Step Footwork Reported Different Biomechanical Profiles in Elite Table Tennis Athletes.Journal of sports science & medicine · 2025Article
- Development of a MediaPipe-based framework for biomechanical quantification of table tennis forehand strokes.Frontiers in sports and active living · 2025Article
- Effects of loop type and target direction variation on kinematics and kinetics of table tennis backhand loop: a statistical parametric mapping approach.Frontiers in bioengineering and biotechnology · 2025Article
- Effect of foot strike patterns and angles on the biomechanics of side-step cutting.Frontiers in bioengineering and biotechnology · 2024Article
- Biomechanics of Topspin Forehand Loop in Table Tennis: An Application of OpenSim Musculoskeletal Modelling.Healthcare (Basel, Switzerland) · 2023Article
- Lower Limb Biomechanics during the Topspin Forehand in Table Tennis: A Systemic Review.Bioengineering (Basel, Switzerland) · 2022Review
- Biomechanical Comparison between Down-the-Line and Cross-Court Topspin Backhand in Competitive Table Tennis.International journal of environmental research and public health · 2022Article
- Developing a tool to assess technical skills in talented youth table tennis players-a multi-method approach combining professional and scientific literature and coaches' perspectives.Sports medicine - open · 2021Article
- Creating a Scoring System with an Armband Wearable Device for Table Tennis Forehand Loop Training: Combined Use of the Principal Component Analysis and Artificial Neural Network.Sensors (Basel, Switzerland) · 2021Article
- A novel method for noninvasive bioelectric measurement utilizing conductivity of seawater.Scientific reports · 2021Article
- The Application of Statistical Parametric Mapping to Evaluate Differences in Topspin Backhand between Chinese and Polish Female Table Tennis Players.Applied bionics and biomechanics · 2021Article
- Article
- Statistical Parametric Mapping Reveals Subtle Gender Differences in Angular Movements in Table Tennis Topspin Backhand.International journal of environmental research and public health · 2020Article
- Comparing the Kinematic Characteristics of the Lower Limbs in Table Tennis: Differences between Diagonal and Straight Shots Using the Forehand Loop.Journal of sports science & medicine · 2020Article
- Gender Differences in Kinematic Parameters of Topspin Forehand and Backhand in Table Tennis.International journal of environmental research and public health · 2020Article
- The Motor and Leisure Time Conditioning of Young Table Tennis Players' Physical Fitness.International journal of environmental research and public health · 2020Article
- A Biomechanical Analysis of Lower Limb Movement on the Backcourt Forehand Clear Stroke among Badminton Players of Different Levels.Applied bionics and biomechanics · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study investigated differences of lower limb kinematics and muscle activity during table tennis topspin loop against backspin movements between elite players (EPs) and amateur players (APs). Ten EPs and ten APs performed crosscourt backhand loop movements against the backspin ball with maximal power. Vicon motion analysis and a MEGA ME6000 system was used to capture kinematics and surface EMG data. The motion was divided into two phases, including the backswing and swing. The joints' flexion and extension angle tendency between EPs and APs differed significantly. The coefficient of multiple correlation (CMC) values for EPs were all beyond 0.9, indicating high similarity of joint angles change. APs presented moderate similarity with CMC values from 0.5 to 0.75. Compared to APs, EPs presented larger ankle eversion, knee and hip flexion at the beginning moment of the backswing. In the sEMG test, EPs presented smaller standardized AEMG (average electromyography) of the lower limb muscles in the rectus femoris and tibia anterior on both sides. Additionally, the maximum activation of each muscle for EPs was smaller and MPF (mean power frequency) of the lower limb was greater during the whole movement. The present study revealed that EPs could complete this technical motion more economically than APs, meanwhile, EPs were more efficient in muscle usage and showed better balance ability.
Indexed as
Identifiers
What OpenQuestion holds
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.