Evidence map›Paper›PMID 39944772›Full record

ArticleOrthopaedic journal of sports medicine2025

Using Wearable Sensor Technology to Analyze Running Technique and Prospective Running-Related Injuries During United States Military Cadet Basic Training.

Amy N Weart, Lauren C Brown, Erin M Florkiewicz, Gregory M Freisinger, Kyle H East, Nicholas Reilly, Jinsup Song, Donald L Goss

Abstract read
In one paragraph

Article in Orthopaedic journal of sports medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Amy N WeartThe Geneva Foundation, Tacoma, Washington, USA.
Lauren C BrownNavy Bureau of Medicine and Surgery, Falls Church, Virginia, USA.
Erin M FlorkiewiczThe Geneva Foundation, Tacoma, Washington, USA.
Gregory M FreisingerDepartment of Civil and Mechanical Engineering, United States Military Academy, West Point, New York, USA.
Kyle H EastUnited States Air Force Operational Physical Therapy Fellowship, United States Air Force Academy, Colorado Springs, Colorado, USA.
Nicholas ReillyThe Geneva Foundation, Tacoma, Washington, USA.
Jinsup SongDepartment of Biomechanics, Temple University School of Podiatric Medicine, Philadelphia, Pennsylvania, USA.
Donald L GossThe Geneva Foundation, Tacoma, Washington, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Running biomechanics have been linked to the development of running-related injuries in recreational and military runners. Purpose/Hypothesis: The purpose of this study was to determine if personal characteristics or running biomechanical variables are associated with running-related injury incidence or time to injury in military cadets undergoing training. It was hypothesized that a rearfoot strike pattern, greater rate of impact, or a lower step rate would be related to a greater running-related injury incidence and a decreased time to injury. Study Design: Cohort study; Level of evidence, 2. Methods: Military cadets wore an on-shoe wearable sensor that analyzed biomechanical variables of foot strike pattern, rate of impact, running pace, step rate, step length, and contact time during cadet basic training (60 days). Running-related injuries during cadet basic training were determined by medical record review. Personal and running variables between the injured and uninjured cadets were compared using independent Results: Of the 674 cadets who completed the study, 11% sustained a running-related injury. A significantly greater proportion of the injured participants were female (χ Conclusion: Study results indicated that non-modifiable risk factors such as female sex and prior injury history increased the risk of running-related injury in cadets undergoing military training. Running biomechanical variables measured by the wearable sensor were not associated with injury in this study.

Indexed as

cadet basic trainingoveruse injuryrunning-related injurywearable sensors

Identifiers

PMID39944772
PMCPMC11815808

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Registered trials

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