Evidence map›Paper›PMID 38196364›Full record

ArticleProceedings. Biological sciences2024

Human foot form and function: variable and versatile, yet sufficiently related to predict function from form.

Robert W Schuster, Andrew G Cresswell, Luke A Kelly

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. 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

3 authors.

Robert W SchusterSchool of Human Movement and Nutrition Sciences, The University of Queensland, Saint Lucia, Queensland, 4067, Australia.ORCID 0000-0003-1738-7136
Andrew G CresswellSchool of Human Movement and Nutrition Sciences, The University of Queensland, Saint Lucia, Queensland, 4067, Australia.ORCID 0000-0002-4828-9355
Luke A KellySchool of Human Movement and Nutrition Sciences, The University of Queensland, Saint Lucia, Queensland, 4067, Australia.ORCID 0000-0002-9736-0517

Funding

Australian Research Council (ARC) Discovery Early Career Research
6 · The paper itself

Abstract

The human foot is a complex structure that plays an important role in our capacity for upright locomotion. Comparisons of our feet with those of our closest extinct and extant relatives have linked shape features (e.g. the longitudinal and transverse arches, heel size and toe length) to specific mechanical functions. However, foot shape varies widely across the human population, so it remains unclear if and how specific shape variants are related to locomotor mechanics. Here we constructed a statistical shape-function model (SFM) from 100 healthy participants to directly explore the relationship between the shape and function of our feet. We also examined if we could predict the joint motion and moments occurring within a person's foot during locomotion based purely on shape features. The SFM revealed that the longitudinal and transverse arches, relative foot proportions and toe shape along with their associated joint mechanics were most variable. However, each of these only accounted for small proportions of the overall variation in shape, deformation and joint mechanics, most likely owing to the high structural complexity of the foot. Nevertheless, a leave-one-out analysis showed that the SFM can accurately predict joint mechanics of a novel foot, based on its shape and deformation.

Indexed as

LocomotionModels, StatisticalHumansMotionfoot mechanicsfoot morphologylongitudinal archshape–function modellingtransverse arch

Identifiers

PMID38196364
PMCPMC10777145

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.