Evidence map›Paper›PMID 37061747›Full record

ArticleJournal of foot and ankle research2023

How to measure children's feet: 3D foot scanning compared with established 2D manual or digital methods.

Juliane Mueller, Monika Richter, Kathrin Schaefer, Jonathan Ganz, Jörg Lohscheller, Steffen Mueller

Open access · goldAbstract read
In one paragraph

Article in Journal of foot and ankle research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 22% 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.

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, 12 citations in OpenAlex.

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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

6 authors at 4 institutions in 1 country.

Juliane MuellerDepartment of Computer Science, Therapy Sciences, Trier University of Applied Sciences, Trier, Germany. ju.mueller@hochschule-trier.de.
Monika RichterPrüf- und Forschungsinstitut Pirmasens e.V, Department of Shoe Technical Research and Development, PFI Germany, Pirmasens, Germany.
Kathrin SchaeferPrüf- und Forschungsinstitut Pirmasens e.V, Department of Shoe Technical Research and Development, PFI Germany, Pirmasens, Germany.
Jonathan GanzDepartment of Computer Science, Therapy Sciences, Trier University of Applied Sciences, Trier, Germany.
Jörg LohschellerDepartment of Computer Science, Trier University of Applied Sciences, Trier, Germany.
Steffen MuellerDepartment of Computer Science, Therapy Sciences, Trier University of Applied Sciences, Trier, Germany.
Prüf- und Forschungsinstitut Pirmasens (Germany) · DETrier University of Applied Sciences · DETechnische Hochschule Ingolstadt · DEUniversität Trier · DE

Funding

Bundesministerium für Wirtschaft und Energie 18838 BG
6 · The paper itself

Abstract

backgroundIn infants and young children, a wide heterogeneity of foot shape is typical. Therefore, children, who are additionally influenced by rapid growth and maturation, are a very special cohort for foot measurements and the footwear industry. The importance of foot measurements for footwear fit, design, as well as clinical applications has been sufficiently described. New measurement techniques (3D foot scanning) allow the assessment of the individual foot shape. However, the validity in comparison to conventional methods remains unclear. Therefore, the purpose of this study was to compare 3D foot scanning with two established measurement methods (2D digital scanning/manual foot measurements).

methodsTwo hundred seventy seven children (125 m / 152 f; mean ± SD: 8.0 ± 1.5yrs; 130.2 ± 10.7cm; 28.0 ± 7.3kg) were included into the study. After collection of basic data (sex, age (yrs), body height (cm), body weight (kg)) geometry of the right foot was measured in static condition (stance) with three different measurement systems (fixed order): manual foot measurement, 2D foot scanning (2D desk scanner) and 3D foot scanning (hand-held 3D scanner). Main outcomes were foot length, foot width (projected; anatomical; instep), heel width and anatomical foot ball breadth. Analysis of variances for dependent samples was applied to test for differences between foot measurement methods (Post-hoc analysis: Tukey-Kramer-Test; α=0.05).

resultsSignificant differences were found for all outcome measures comparing the three methods (p<0.0001). The span of foot length differences ranged from 3 to 6mm with 2D scans showing the smallest and 3D scans the largest deviations. Foot width measurements in comparison of 3D and 2D scans showed consistently higher values for 3D measurements with the differences ranging from 1mm to 3mm.

conclusionsThe findings suggests that when comparing foot data, it is important to consider the differences caused by new measurement methods. Differences of about 0.6cm are relevant when measuring foot length, as this is the difference of a complete shoe size (Parisian point). Hence, correction factors may be required to compare the results of different measurements appropriately. The presented results may have relevance in the field of ergonomics (shoe industry) as well as clinical practice.

Indexed as

FootHeelBody Weights and MeasuresChildChild, PreschoolHumansShoesFoot lengthFoot widthShoe industryShoe size

Identifiers

PMID37061747
PMCPMC10105443
OpenAlexW4365814016

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.