Evidence map›Paper›PMID 41992941›Full record

ArticleBiology open2026

Differences in three-dimensional kinetic determinants of jump height between single- and double-leg countermovement jumps.

Terumitsu Miyazaki, Shota Yamamoto, Hirotomo Kubota

Abstract read
In one paragraph

Article in Biology open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
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

3 authors.

Terumitsu MiyazakiNational Institute of Fitness and Sports in Kanoya, Kanoya, 891-2393 Kagoshima, Japan.ORCID 0000-0002-0554-3122
Shota YamamotoNational Institute of Fitness and Sports in Kanoya, Kanoya, 891-2393 Kagoshima, Japan.
Hirotomo KubotaNational Institute of Fitness and Sports in Kanoya, Kanoya, 891-2393 Kagoshima, Japan.

Funding

Japan Society for the Promotion of Science 24K20565National Institute of Fitness and Sports in Kanoya
6 · The paper itself

Abstract

Single-leg jumping tasks are directly linked to scoring in various sports; therefore, identifying the biomechanical determinants of higher single-leg jumping performance is crucial for athletic performance. Single-leg jumping can utilize the hip and lumbosacral joints in three dimensions. However, the joint kinetic variables in the frontal and horizontal planes associated with jump height are not fully understood. This study aimed to investigate the differences in joint kinetic factors associated with jump height between single- and double-leg countermovement jumps (CMJs) using waveform statistical analysis. Forty-eight male collegiate athletes performed single- and double-leg CMJs, and lower-limb and lumbosacral joint kinetics were analyzed. The results showed that the extension torque and flexion-extension power of the lower-limb joints were significantly correlated with jump height in single- and double-leg CMJs. Moreover, during the propulsive phase of the single-leg CMJ, greater hip abduction torque, lumbosacral lateral flexion torque, and hip and lumbosacral axial rotation torques were positively correlated with jump height, but not in the double-leg CMJ. The results highlight different mechanisms for achieving higher jump height between single- and double-leg CMJs. The findings suggest that strength training and movement modification targeting the frontal- and horizontal-plane motions may improve single-leg CMJ performance.

Indexed as

Athletic PerformanceAthletesBiomechanical PhenomenaHumansKineticsMaleMovementTorqueYoung AdultInverse dynamicsJoint powerJoint torqueLower limbWaveform

Identifiers

PMID41992941
PMCPMC13225229

What OpenQuestion holds

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Registered trials

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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.