Evidence map›Paper›PMID 41333968›Full record

ArticleJournal of exercise science and fitness2026

Effects of retrograde run training on long jump performances of student athletes: A randomized controlled study.

Xinming Lai, Nuttaset Manimmanakorn, Apiwan Manimmanakorn, Michael J Hamlin

Abstract read
In one paragraph

Article in Journal of exercise science and fitness, 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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0citing papers in PubMed
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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

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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.

Xinming LaiGraduate School, Khon Kaen University, Khon Kaen, 40002, Thailand.
Nuttaset ManimmanakornDepartment of Rehabilitation Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen, 40002, Thailand.
Apiwan ManimmanakornDepartment of Physiology, Faculty of Medicine, Khon Kaen University, Khon Kaen, 40002, Thailand.
Michael J HamlinDepartment of Tourism, Sport and Society, Lincoln University, Lincoln, 7647, Christchurch, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/Objectives: Retrograde run training increases forward run speed and muscle power. However, the effect of retrograde run training on long jump performance is not known. The objective of this study was to investigate the effect of retrograde run training on the long jump performance of physical education (PE) students compared to conventional training. Methods: A randomized clinical trial was conducted including 120 PE students from Huzhou University Physical Education Faculty. The participants were randomly allocated into an experimental group or control group. Both groups received a conventional long jump training program, however the experimental group received additional retrograde run training (10 min 3 times per week for 12 weeks), while the control group received a similar level of forward run training. Changes in long jump and other performances were measured at 4, 8 and 12 weeks of the training program. Results: Over the 12-week intervention, the experimental group demonstrated significantly greater improvements in long jump, take off angle, take off accuracy, standing long jump, single leg stance, 30-m forward sprint and 40-m retrograde shuttle run compared to the control group (p < 0.05). Within-group analysis confirmed the experimental group improved significantly from baseline in all outcomes (p < 0.05). In contrast, the control group showed significant improvement only in long jump performance, take-off angle, and single leg stance. Conclusion: The addition of retrograde run training to traditional long jump training significantly improved long jump performance in PE students and may be used as an alternative method to enhance long jump performance.

Indexed as

Backward run trainingBalanceLong jump distanceSpeedTake-off

Identifiers

PMID41333968
PMCPMC12666334

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LicenceCC BY-NC-ND
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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.