Evidence map›Paper›PMID 40460085›Full record

ArticlePloS one2025

Validity of smartphone sensors to assess selected kinetic and kinematic outcomes during single-leg landing stabilization tasks.

Alessio Gallina, Michael Anthonius Lim, Hélio V Cabral

Abstract read
In one paragraph

Article in PloS one, 2025. 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

3 authors.

Alessio GallinaSchool of Sport, Exercise and Rehabilitation Sciences, College of Life and Environmental Sciences, University of Birmingham, Birmingham, United Kingdom.ORCID 0000-0003-1945-5518
Michael Anthonius LimSchool of Sport, Exercise and Rehabilitation Sciences, College of Life and Environmental Sciences, University of Birmingham, Birmingham, United Kingdom.
Hélio V CabralSchool of Sport, Exercise and Rehabilitation Sciences, College of Life and Environmental Sciences, University of Birmingham, Birmingham, United Kingdom.ORCID 0000-0003-3252-0724

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionLanding stabilization tasks are a key component of injury prevention and rehabilitation programs. An objective estimation of kinetics and kinematics requires equipment and expertise which are often unavailable outside specialized centres. We investigated whether smartphone sensors, which are widely available to the general population, provide valid estimates of selected body kinematics and kinetics during landing stabilization tasks.

methodsSeventy-six asymptomatic participants (35 females) performed a unilateral landing stabilization task on both legs. Ground reaction forces and trunk orientation were collected using a force platform and an inertial measurement unit, respectively. Participants performed the tasks holding a smartphone on their chest, which collected acceleration and orientation data. We established the validity between estimates obtained with smartphone sensors and specialized equipment using Intraclass Correlation Coefficient (ICC) and paired T-test or Wilcoxon test.

resultsFor both legs, agreement was excellent for time of flight (lower bound of the 95% confidence interval of the ICC > 0.94); at least good for early balance (ICC > 0.87), sagittal trunk orientation (ICC > 0.79), and concentric force (ICC > 0.80); and at least moderate for frontal trunk orientation (ICC > 0.58), late balance (ICC > 0.65) and landing impact (ICC > 0.60). Smartphone accelerometers overestimated all measures compared to the force platform (p < 0.001).

conclusionSmartphone sensors provide measures similar to those obtained using specialized equipment when used to assess selected kinetics and kinematics outcomes during landing stabilization exercises. Time of flight, concentric force, early balance and trunk orientation in the sagittal plane demonstrated at least good agreement, although smartphone sensors systematically overestimated acceleration-derived measures. This study sets the foundations for the use of smartphone sensors as a simple, inexpensive tool to characterize the performance of landing stabilization tasks objectively.

Indexed as

LegPostural BalanceSmartphoneAccelerometryAdultBiomechanical PhenomenaFemaleHumansKineticsMaleYoung Adult

Identifiers

PMID40460085
PMCPMC12133011

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.