Evidence map›Paper›PMID 42483388›Full record

ArticleFrontiers in physiology2026

The effect of complex training with traditional and variable resistance on lower limb muscle strength and swimming performance in competitive swimmers.

Cuiqing Zhao, Liam Patrick Kilduff, Frank Nugent, Michael Keiner, Chao Chen, Zixiang Zhou

Abstract read
In one paragraph

Article in Frontiers in physiology, 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

6 authors.

Cuiqing ZhaoSchool of Sports Science, Nantong University, Nantong, China.
Liam Patrick KilduffApplied Sports, Technology, Exercise, and Medicine Research Centre, Faculty of Science and Engineering, Swansea University, Swansea, United Kingdom.
Frank NugentDepartment of Physical Education & Sport Sciences (PESS), University of Limerick, Limerick, Ireland.
Michael KeinerGerman University of Health and Sport, Ismaning, Germany.
Chao ChenCollege of Physical Education, Dalian University, Dalian, China.
Zixiang ZhouSchool of Humanities and Social Sciences, Shandong Medical and Pharmaceutical University, Yantai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To compare the effects of variable resistance complex training (VRCT) versus traditional complex training (TCT) on maximum strength, vertical jump ability and swimming performance in swimmers. Methods: Twenty-four male swimmers (age: 20.9 ± 1.1 years) were randomized to VRCT (n = 8), TCT (n = 8), or control (CON; n = 8) and completed a twice weekly training intervention over a 6-week period. Training programs involved alternating high-load resistance exercise with plyometric exercise within the same session. The VRCT group performed resistance exercises at 70% of 1-repetition maximum (1RM) + 0% to 23% of 1RM from band resistance with a 90-second rest interval, while the TCT group conducted resistance exercise at 93% of 1RM with a 4-minute rest interval. Maximum strength, vertical jump, start, turn and 100-m sprint performance were assessed pre- and post-intervention. Results: VRCT and TCT demonstrated significant increase in the 1RM back squat, countermovement jump and squat jump height (all Conclusions: Both complex training modalities can be implemented to enhance lower limb strength, power and sprint performance. VRCT is more efficient to improve start and turn time in swimmers.

Indexed as

muscle strengthpost-activation performance enhancementswimming performancevariable-resistance complex trainingvertical jump

Identifiers

PMID42483388
PMCPMC13384850

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.