Evidence map›Paper›PMID 41561351›Full record

ArticleFrontiers in bioengineering and biotechnology2025

Lower-limb coordination adaptations to shooting distance in basketball: an exploratory angular velocity-based vector coding study.

Ziyang Feng, Zhonghao Xie, Zhiguan Huang, Wenwei Huang, Xue Mi, Guoxing Li

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

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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

6 authors.

Ziyang FengSchool of Athletic Training, Guangzhou Sport University, Guangzhou, Guangdong, China.
Zhonghao XieSchool of Athletic Training, Guangzhou Sport University, Guangzhou, Guangdong, China.
Zhiguan HuangGuangdong Engineering Technology Research Center for Sports Aids, Guangzhou, China.
Wenwei HuangSchool of Athletic Training, Guangzhou Sport University, Guangzhou, Guangdong, China.
Xue MiSchool of Athletic Training, Guangzhou Sport University, Guangzhou, Guangdong, China.
Guoxing LiSchool of Athletic Training, Guangzhou Sport University, Guangzhou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This exploratory study aimed to investigate how shooting distance is associated with the adaptations in lower limb inter-joint coordination of male university basketball athletes during the Loading and Jump Phases. Methods: Kinematic data from 14 university basketball athletes performing jump shots at four distances (4.6 m, 5.8 m, 7.0 m, and 8.325 m) were collected using OpenCap. Inter-joint coordination was quantified using a vector coding technique based on angular velocity data. This approach was selected to conform with biomechanical conventions for calculating angular dynamics, preserve more temporal information, and make the measure more robust to any noise that may be present in the data. Subsequently, the adaptations were analyzed using Bayesian circular mixed-effects models. Results: Analysis of the data showed a primary adaptation in the Jump Phase: as shooting distance increased, coordination showed a trend towards greater Distal (knee and ankle) Dominancy. This change was underpinned by interaction effects (95% HPD that did not contain zero) between shooting distance and movement phase in multiple lower-limb joint couplings. Alongside this primary adaptation, an asymmetrical adjustment in the bilateral Knee-Ankle coordination during the Loading Phase emerged: with increasing distance, the right side showed enhanced Distal Dominancy while the left side trended towards Proximal Dominancy. Conclusion: Based on these observed patterns, we propose two hypotheses for future confirmatory research: (1) that this trend towards greater Distal Dominancy may reflect a functional optimization of the lower limb for long-range shooting, and (2) that the observed asymmetry might be a functional adaptation to the specific demands of the shooting motion.

Indexed as

basketballcircular mixed-effect modelcoordinationOpenCapvector coding

Identifiers

PMID41561351
PMCPMC12813038

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LicenceCC BY
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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.