Evidence map›Paper›PMID 32481233›Full record

ArticleJournal of musculoskeletal & neuronal interactions2020

Safety considerations for forward falls.

Saeed Abdolshah, Nader Rajaei, Yasuhiro Akiyama, Yoji Yamada, Shogo Okamoto

Abstract read
In one paragraph

Article in Journal of musculoskeletal & neuronal interactions, 2020. 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. 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

5 authors.

Saeed AbdolshahDepartment of Mechanical Systems Engineering, Nagoya University, Nagoya, Japan.
Nader RajaeiDepartment of Mechanical Systems Engineering, Nagoya University, Nagoya, Japan.
Yasuhiro AkiyamaDepartment of Mechanical Systems Engineering, Nagoya University, Nagoya, Japan.
Yoji YamadaDepartment of Mechanical Systems Engineering, Nagoya University, Nagoya, Japan.
Shogo OkamotoDepartment of Mechanical Systems Engineering, Nagoya University, Nagoya, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveForward falls are among the most frequent causes of upper extremity fractures. This study investigated the safety considerations to prevent wrist injuries during bimanual forward falls.

methodsA biomechanical model was developed with two separated arms to facilitate investigation of asymmetrical contact and predict the impact force applied to each hand separately. To validate the developed model, a series of fall experiments were conducted in which one hand collided with a hard surface, while the other collided with a soft surface.

resultsThe results show that the impact force applied to each hand is independent of the other. Using these results and our model, the safety aspects of human forward falls were analyzed with a view to preventing injuries. Specifically, we sought to determine the safe range of surface stiffness and damping to ensure that the occurrence of forward falls does not lead to trauma.

conclusionThe results of this study can be applied in the design of compliant flooring to ensure the safety of people in environments with potential fall hazards. From a robotics viewpoint, the results are applicable in the design of compliant flooring for shared workplaces, where robots collaborate with people and collisions between humans and robots may cause falls.

Indexed as

Accidental FallsModels, TheoreticalAdultArmBiomechanical PhenomenaFloors and FloorcoveringsFractures, BoneHardnessHumansMaleYoung AdultBimanual Forward FallBiomechanical ModelCompliant FlooringImpact ForceWrist Injuries

Identifiers

PMID32481233
PMCPMC7288389

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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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.