Evidence map›Paper›PMID 38393265›Full record

ArticleSports (Basel, Switzerland)2024

Effects of Different Wearable Resistance Placements on Running Stability.

Arunee Promsri, Siriyakorn Deedphimai, Petradda Promthep, Chonthicha Champamuang

Abstract read
In one paragraph

Article in Sports (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. 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.

Arunee PromsriDepartment of Physical Therapy, School of Allied Health Sciences, University of Phayao, Phayao 56000, Thailand.ORCID 0000-0002-0389-6645
Siriyakorn DeedphimaiDepartment of Physical Therapy, School of Allied Health Sciences, University of Phayao, Phayao 56000, Thailand.
Petradda PromthepDepartment of Physical Therapy, School of Allied Health Sciences, University of Phayao, Phayao 56000, Thailand.
Chonthicha ChampamuangDepartment of Physical Therapy, School of Allied Health Sciences, University of Phayao, Phayao 56000, Thailand.

Funding

University of Phayao UoE65003
6 · The paper itself

Abstract

Stability during running has been recognized as a crucial factor contributing to running performance. This study aimed to investigate the effects of wearable equipment containing external loads on different body parts on running stability. Fifteen recreational male runners (20.27 ± 1.23 years, age range 19-22 years) participated in five treadmill running conditions, including running without loads and running with loads equivalent to 10% of individual body weight placed on four different body positions: forearms, lower legs, trunk, and a combination of all three (forearms, lower legs, and trunk). A tri-axial accelerometer-based smartphone sensor was attached to the participants' lumbar spine (L5) to record body accelerations. The largest Lyapunov exponent (LyE) was applied to individual acceleration data as a measure of local dynamic stability, where higher LyE values suggest lower stability. The effects of load distribution appear in the mediolateral (ML) direction. Specifically, running with loads on the lower legs resulted in a lower LyE_ML value compared to running without loads (

Indexed as

largest Lyapunov exponentlocal dynamic stabilityrecreational runnersrunning gaitrunning stabilitysmartphone-based accelerometrytreadmill runningwearable resistance trainingweight vest

Identifiers

PMID38393265
PMCPMC10892856

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.