Evidence map›Paper›PMID 41041270›Full record

ArticleFrontiers in physiology2025

Configural analysis of dry-land strength and front crawl performance in adolescents.

Tianyi Gao, Jiawen Shen, Baojie Tang, Xinyuan Wu, Yifan Shi, Bo Huang

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Article in Frontiers in physiology, 2025. 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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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Tianyi Gao *School of Sports Science, South China Normal University, Guangzhou, Guangdong, China.
Jiawen Shen *The Affiliated High School of South China Normal University, Guangzhou, Guangdong, China.
Baojie TangSchool of Sports Science, South China Normal University, Guangzhou, Guangdong, China.
Xinyuan WuSchool of Sports Science, South China Normal University, Guangzhou, Guangdong, China.
Yifan ShiGraduate School, Guangzhou Institute of Physical Education, Guangzhou, Guangdong, China.
Bo HuangSchool of Sports Science, South China Normal University, Guangzhou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Dry-land strength capacities play a crucial role in competitive swimming, especially in short-distance events where explosive force and coordination are decisive. However, most research has focused on isolated variables rather than exploring how combinations of strength attributes jointly influence performance. Competitive swimming performance is influenced by multiple interacting physical attributes, yet the specific combinations of dry-land strength capacities that contribute to short-distance front crawl performance in adolescents remain unclear. Methods: To address this gap, this study employs fuzzy-set Qualitative Comparative Analysis (fsQCA) to investigate the configurational relationships between dry-land strength parameters and 50-m front crawl swimming performance among adolescent competitive swimmers. Eighty-five adolescent competitive swimmers (n = 85; age: 15.0 ± 1.5 years; weight: 61.5 ± 9.6 kg) were categorized into three groups based on competition scores and underwent seven physical assessments, including deep squats, pull-ups, grip strength tests, medicine ball throws, progressive plank, and vertical jumps. Results: Using fsQCA 3.0 software, configuration analysis revealed six significant causal configurations explaining 72.7% of high-performance cases. Configurations S1a/S1b identified core conditions in deep squats, pull-ups, and grip strength, while S2a/S2b highlighted bench press and vertical jumps for enhancing stroke efficiency and start/turn acceleration. The S3/S4 configurations demonstrated unique contributions from whole-body coordination and vertical explosiveness, respectively. Discussion: Multifactor synergy is key to improving swimming performance, and different athletes may need an individualized training focus. Coaches should develop a training plan based on the specific needs of the athletes to maximize their potential.

Indexed as

adolescent athletesconfigural analysisdry-land strengthfront crawl swimming performanceQCA

Identifiers

PMID41041270
PMCPMC12484033

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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.