Evidence map›Paper›PMID 42051608›Full record

ArticleJournal of human kinetics2026

Neuromuscular Adaptation to Varying Drop Jump Heights: A Muscle Synergy Approach in Elite Handball Players.

Jinwei Zhao, Kinga Łosińska, Luyao Chen, Piotr Aschenbrenner

Abstract read
In one paragraph

Article in Journal of human kinetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jinwei ZhaoDepartment of Physical Education, Gdansk University of Physical Education and Sport, Gdansk, Poland.ORCID https://orcid.org/0009-0001-3404-1615
Kinga ŁosińskaDepartment of Physical Education, Gdansk University of Physical Education and Sport, Gdansk, Poland.ORCID https://orcid.org/0009-0009-0227-106X
Luyao ChenFaculty of Physical Education, Harbin Sport University, Harbin, China.ORCID https://orcid.org/0009-0003-6218-3842
Piotr AschenbrennerDepartment of Physical Education, Gdansk University of Physical Education and Sport, Gdansk, Poland.ORCID https://orcid.org/0000-0003-1307-6621

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid single-leg landings and rebounds are central to high-performance handball, yet little is known about neuromuscular coordination adaptations to changing mechanical demands under such conditions. This study examined how different landing heights would modulate lower limb muscle synergy patterns in elite male handball players performing single-leg drop jumps. Twenty professional athletes executed rebound jumps from five standardized heights (0.15-0.75 m). Kinematic data, ground reaction forces, and surface electromyography (sEMG) from seven lower limb muscles were collected and synchronized. Muscle synergies were extracted using non-negative matrix factorization (NMF), while the temporal characteristics of activation patterns were analyzed with SPM1d. Across landing heights, synergy dimensionality remained stable while both muscle weightings and phase-specific activation (pre-activation, buffering, propulsion) were systematically modulated. These height-dependent adjustments were consistent with redistribution within existing motor modules rather than isolated muscle-specific changes. Practically, programming unilateral plyometrics at ~0.60 m may elicit the most pronounced, yet controlled, adaptation of braking and push-off strategies relevant to impact-force management.

Indexed as

electromyographyinjury prevention strategiesmotor primitivessingle-leg reboundsport-specific neuromechanics

Identifiers

PMID42051608
PMCPMC13112167

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.