Evidence map›Paper›PMID 37595332›Full record

ArticleApplied ergonomics2024

Prospective validity assessment of a friction prediction model based on tread outsole features of slip-resistant shoes.

Kurt E Beschorner, Mahiyar Nasarwanji, Chris Deschler, Sarah L Hemler

Abstract read
In one paragraph

Article in Applied ergonomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Kurt E BeschornerDepartment of Bioengineering, University of Pittsburgh, 3700 O'Hara St., Pittsburgh, PA, 15213, USA. Electronic address: beschorn@pitt.edu.
Mahiyar NasarwanjiDepartment of Bioengineering, University of Pittsburgh, 3700 O'Hara St., Pittsburgh, PA, 15213, USA.
Chris DeschlerDepartment of Bioengineering, University of Pittsburgh, 3700 O'Hara St., Pittsburgh, PA, 15213, USA.
Sarah L HemlerDepartment of Bioengineering, University of Pittsburgh, 3700 O'Hara St., Pittsburgh, PA, 15213, USA.

Funding

Portable Slip-Testing Device for Measuring Shoe-Floor Coefficient of FrictionR44AG059258 · NIA · CROSSROADS CONSULTING, LLC · PI BESCHORNER, KURT E, MOYER, BRIAN EVAN · 2017 to 2018
$1.3M
Motion Capture SystemS10RR027102 · NCRR · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CHAM, RAKIE · 2011 to 2011
$232k
A Predictive Statistical Model for Shoe-Floor-Fluid Coefficient of FrictionR03OH011069 · OH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BESCHORNER, KURT E · 2018 to 2019
$145k
NCRR NIH HHS S10 RR027102NIA NIH HHS R44 AG059258NIOSH CDC HHS R03 OH011069
6 · The paper itself

Abstract

Shoe outsole design strongly influences slip and fall risk. Certain tread features that can be readily measured have been shown to predict friction performance. This research aimed to replicate those findings and quantify their ability to predict slipping. Participants (n = 34) were exposed to a low friction oil-coated floor surface, while wearing slip-resistant shoes. The coefficient of friction (COF) of each shoe were predicted based on tread surface area, the presence of a bevel, and hardness. The COF was measured, and the slip outcome was determined. Predicted and measured COF were correlated, and measured COF was a sensitive predictor of slip outcome. The relationship of predicted COF on slip outcome was weaker than anticipated and was not statistically significant. This study partially confirmed the ability of previous regression equations to predict COF. However, the effect size was weaker than previously reported and predicted COF was not sensitive for predicting slips.

Indexed as

Floors and FloorcoveringsShoesFrictionHumansProspective StudiesAnd fallsFootwearFrictionSlipsTrips

Identifiers

PMID37595332
PMCPMC10847959

What OpenQuestion holds

Textmetadata
LicenceTDM
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.