Evidence map›Paper›PMID 36502001›Full record

ArticleSensors (Basel, Switzerland)2022

Angular Velocities and Linear Accelerations Derived from Inertial Measurement Units Can Be Used as Proxy Measures of Knee Variables Associated with ACL Injury.

Holly S R Jones, Victoria H Stiles, Jasper Verheul, Isabel S Moore

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 19% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Effect of Foot Orthoses on Angular Velocity of Feet.Sensors (Basel, Switzerland) · 2023
    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 at 2 institutions in 1 country.

Holly S R JonesCardiff School of Sport and Health Sciences, Cardiff Metropolitan University, Cyncoed Campus, Cardiff CF23 6XD, UK.
Victoria H StilesSport and Health Sciences, University of Exeter, St Luke's Campus, Exeter EX1 2LU, UK.ORCID 0000-0003-1107-6484
Jasper VerheulCardiff School of Sport and Health Sciences, Cardiff Metropolitan University, Cyncoed Campus, Cardiff CF23 6XD, UK.ORCID 0000-0002-2939-8046
Isabel S MooreCardiff School of Sport and Health Sciences, Cardiff Metropolitan University, Cyncoed Campus, Cardiff CF23 6XD, UK.
Cardiff Metropolitan University · GBUniversity of Exeter · GB

Funding

Knowledge Economy Skills Scholarships 2 (KESS2) MEK334
6 · The paper itself

Abstract

Given the high rates of both primary and secondary anterior cruciate ligament (ACL) injuries in multidirectional field sports, there is a need to develop easily accessible methods for practitioners to monitor ACL injury risk. Field-based methods to assess knee variables associated with ACL injury are of particular interest to practitioners for monitoring injury risk in applied sports settings. Knee variables or proxy measures derived from wearable inertial measurement units (IMUs) may thus provide a powerful tool for efficient injury risk management. Therefore, the aim of this study was to identify whether there were correlations between laboratory-derived knee variables (knee range of motion (RoM), change in knee moment, and knee stiffness) and metrics derived from IMUs (angular velocities and accelerations) placed on the tibia and thigh, across a range of movements performed in practitioner assessments used to monitor ACL injury risk. Ground reaction forces, three-dimensional kinematics, and triaxial IMU data were recorded from nineteen healthy male participants performing bilateral and unilateral drop jumps, and a 90° cutting task. Spearman's correlations were used to examine the correlations between knee variables and IMU-derived metrics. A significant strong positive correlation was observed between knee RoM and the area under the tibia angular velocity curve in all movements. Significant strong correlations were also observed in the unilateral drop jump between knee RoM, change in knee moment, and knee stiffness, and the area under the tibia acceleration curve (r

Indexed as

Anterior Cruciate Ligament InjuriesKnee InjuriesBiomechanical PhenomenaHumansKneeKnee JointMaleaccelerometerfield-based assessmentsgyroscopeinjury monitoringinjury riskknee biomechanicswearable technologies

Identifiers

PMID36502001
PMCPMC9740759
OpenAlexW4311012122

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.