Evidence map›Paper›PMID 40872013›Full record

ArticleSensors (Basel, Switzerland)2025

Exploring Difference in Hand-Foot Coordination Ability Among Tennis Players of Different Sport Levels Based on the Correlation Between Lower-Limb Acceleration and Hand Grip Force.

Yan Xiao, Jinghui Zhong, Yang Gao, Kebao Zhang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Evaluating tennis player performance based on different types of grip strength.BMC sports science, medicine & rehabilitation · 2026
    Article
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4 · The record

Corrections and comments

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

4 authors.

Yan XiaoInstitute of Physical Education and Training, Capital University of Physical Education and Sports, Beijing 100191, China.
Jinghui ZhongSchool of Kinesiology and Health, Capital University of Physical Education and Sports, Beijing 100191, China.
Yang GaoInstitute of Physical Education and Training, Capital University of Physical Education and Sports, Beijing 100191, China.
Kebao ZhangSchool of Recreation and Community Sport, Capital University of Physical Education and Sports, Beijing 100191, China.ORCID 0009-0007-8758-0800

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo quantify real-time hand-foot coupling in tennis and test whether the coupling pattern differs by playing standard.

methodsFifteen nationally certified second-level male athletes and fifteen recreational beginners performed multi-directional swings, alternating forehand-backhand groundstrokes and serve-and-volley sequences while tri-axial ankle acceleration and racket-grip force were synchronously recorded in wearable inertial measurement units (IMUs). Grip metrics (mean force, peak force, force duration) and acceleration magnitudes were analysed with MANOVA and Hedges' g effect sizes, followed by the Benjamini-Hochberg correction (α = 0.025).

resultsAcross tasks, athletes showed higher mean ankle acceleration (standardised mean difference, Hedges' g) but 45% lower mean grip force (Hedges' g = -1.28; both

conclusionWe quantified hand-foot coordination in tennis by synchronising tri-axial ankle acceleration with calibrated racket-grip force across three match-realistic tasks. Relative to beginners, athletes demonstrated an inverse coupling between ankle acceleration and grip-force metrics, whereas beginners showed a direct coupling, consistent with our purpose of quantifying coordination via synchronised wearable sensors.

Indexed as

FootHandHand StrengthLower ExtremityTennisAccelerationAdultAthletesBiomechanical PhenomenaHumansMaleWearable Electronic DevicesYoung Adultaccelerometrygrip forcehand–foot coordinationperformance analysistennis

Identifiers

PMID40872013
PMCPMC12389805

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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.