Evidence map›Paper›PMID 42591492›Full record

ArticleFrontiers in bioengineering and biotechnology2026

Field-to-laboratory biomechanical profiling of reactive strength index in male volleyball drop jumps.

Di Lu, Yueming Li, Tianyuan He, Jiaxin He, Jian Sun, Duanying Li

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Article in Frontiers in bioengineering and biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Di LuSchool of Physical Education, Guangzhou Sport University, Guangzhou, Guangdong, China.
Yueming LiSports Training Institute, Guangzhou Sport University, Guangzhou, Guangdong, China.
Tianyuan HeSports Training Institute, Guangzhou Sport University, Guangzhou, Guangdong, China.
Jiaxin HeSports Training Institute, Guangzhou Sport University, Guangzhou, Guangdong, China.
Jian SunSports Training Institute, Guangzhou Sport University, Guangzhou, Guangdong, China.
Duanying LiSports Training Institute, Guangzhou Sport University, Guangzhou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Reactive strength index (RSI) is widely used in drop-jump testing, but the score alone does not show how the landing-to-take-off phase is organized. Objective: This study examined whether RSI in male volleyball drop jumps can be interpreted more clearly by combining field-accessible performance metrics with time-continuous knee-joint biomechanical waveforms. Methods: Forty-four male volleyball participants were classified as trained athletes (n = 22) or recreational participants (n = 22). Each completed 30-cm drop jumps using force platforms and three-dimensional motion capture. Field outcomes included jump height, contact time, RSI, and countermovement depth. Laboratory outcomes included dominant-limb knee angle, moment, and power waveforms, with supplementary lower-limb peak joint and work-distribution outcomes. Discrete outcomes were analyzed with mixed models and covariate-adjusted models; waveforms were compared in Python using one-dimensional statistical parametric mapping, with supplementary body mass-normalized kinetic waveform analyses. Results: Compared with recreational participants, trained athletes had shorter contact time (adjusted β = -0.093 s, 95% CI: -0.157 to -0.030), smaller countermovement depth (adjusted β = -7.03 cm, 95% CI: -11.98 to -2.08), and higher RSI (adjusted β = 0.273 m/s, 95% CI: 0.131-0.415). Knee propulsive work was higher before anthropometric adjustment, whereas the adjusted result was statistically inconclusive. Waveform analysis showed less knee flexion across most of contact, greater knee moment during middle-to-late contact, and phase-specific knee-power differences. Conclusion: Higher RSI in trained male volleyball athletes was associated with a compact field-level landing-rebound pattern, defined by shorter contact time and smaller countermovement depth, supported by lower-limb discrete outcomes and knee-joint waveform features rather than a single biomechanical feature. Combining field-accessible metrics with lower-limb biomechanical analysis may provide a more interpretable profile of reactive strength in volleyball drop jumps.

Indexed as

biomechanicsdrop jumpknee jointreactive strength indexstatistical parametric mappingvolleyball

Identifiers

PMID42591492
PMCPMC13462052

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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.