Evidence map›Paper›PMID 35340227›Full record

ReviewJournal of healthcare engineering2022

Optimal Loading Height: A Practical Research of Drop Jump from Biomechanics.

Zehao Tong, Wenjia Chen, Hang Xu, Feng Zhai

Registry-linked trialOpen access · hybridAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of healthcare engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06565468 (The Effect of Cold Water Immersion on Recovery and Performance in NCAA Division I Athletes), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.3field-weighted citation impact, top 24% of its field
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.

NCT06565468 nacompletednot on this mapstarted 2024, after this paper: background citation

The Effect of Cold Water Immersion on Recovery and Performance in NCAA Division I Athletes

TypeinterventionalSponsorUniversity of California, Los AngelesRan2024 to 2025Enrolled75ConditionsRecovery, Physiological, Athletic PerformanceArmsCold water immersion pool.
3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
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 at 2 institutions in 1 country.

Zehao TongCollege of Physical Education, China University of Mining and Technology, Xuzhou, Jiangsu, China.ORCID 0000-0001-8097-7708
Wenjia ChenCollege of Physical Education, China University of Mining and Technology, Xuzhou, Jiangsu, China.ORCID 0000-0003-3994-6285
Hang XuDepartment of Medical Imaging, Xuzhou Medical University, Xuzhou, Jiangsu, China.ORCID 0000-0003-2324-1782
Feng ZhaiCollege of Physical Education, China University of Mining and Technology, Xuzhou, Jiangsu, China.ORCID 0000-0001-5547-7672
China University of Mining and Technology · CNXuzhou Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plyometrics training is paid great attention by coaches and researchers because of its significant effect on the level of lower limb explosive athletes. Many coaches and reseachers use the biomechanical methods to determine optimal loading height for drop jump. The researchers' findings in determining optimal loading height were highly biased and were not applied effectively to training practices. This paper reviews the development process of optimal loading height in deep-jump training, combs the relevant concepts and biomechanical mechanisms of optimal loading height in deep-jump training, and looks forward to the future research.

Indexed as

AthletesLower ExtremityBiomechanical PhenomenaBiophysicsHumans

Identifiers

PMID35340227
PMCPMC8941546
OpenAlexW4221049387

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.