Evidence map›Paper›PMID 35954732›Full record

ArticleInternational journal of environmental research and public health2022

Effects of Various Numbers of Runs on the Success of Hamstring Injury Prevention Program in Sprinters.

Yusaku Sugiura, Kazuhiko Sakuma, Shimpei Fujita, Kazuhiro Aoki, Yuji Takazawa

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

5 authors.

Yusaku SugiuraSport Science, Meikai University, Urayasu 279-8550, Japan.
Kazuhiko SakumaGraduate School of Health and Sports Science, Juntendo University, Inzai 270-1695, Japan.
Shimpei FujitaCollege of Health and Welfare, J.F. Oberlin University, Machida 194-0294, Japan.ORCID 0000-0002-6930-4403
Kazuhiro AokiGraduate School of Health and Sports Science, Juntendo University, Inzai 270-1695, Japan.
Yuji TakazawaDepartment of Sports Medicine, Graduate School of Medicine, Health and Sports Science, Juntendo University, Tokyo 113-0033, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies have not adequately addressed the influence of fatigue, which is considered a major risk factor for hamstring injuries. Therefore, this study aimed to clarify how a muscle fatigue condition affects the success of hamstring injury prevention programs in sprinters. The study subjects were 613 collegiate male sprinters. They employed submaximal/maximal running for a large number of runs and supramaximal running for a small number of runs in daily training. The hamstring injury prevention program had become the most effective strategy in the past 24 seasons of track and field for preventing hamstring injuries. The number of sprinters who experienced hamstring injuries in three periods over the 24 seasons was recorded. The incidents of hamstring injuries during supramaximal running per athlete-seasons were 137.9, 60.6, and 6.7 for Periods I, II, and III, respectively, showing a significant decline (p < 0.01). Furthermore, the incidents of hamstring injuries during submaximal and maximal running per season showed no significant change. The results of this study indicate that by inducing muscle fatigue, a small number of runs makes hamstring injury prevention programs effective.

Indexed as

Athletic InjuriesLeg InjuriesMuscular DiseasesHumansMaleMuscle, SkeletalRisk Factorshamstring injurymaximal runningmuscle fatiguesprinterssupramaximal running

Identifiers

PMID35954732
PMCPMC9367840

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.