Evidence map›Paper›PMID 33718868›Full record

ArticleFrontiers in sports and active living2021

Wearable Technology May Assist in Retraining Foot Strike Patterns in Previously Injured Military Service Members: A Prospective Case Series.

Donald L Goss, Daniel J Watson, Erin M Miller, Amy N Weart, Eliza B Szymanek, Gregory M Freisinger

Abstract read
In one paragraph

Article in Frontiers in sports and active living, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Donald L GossDepartment of Physical Therapy, High Point University, High Point, NC, United States.
Daniel J Watson15th Medical Group, Joint Base Pearl Harbor-Hickam, Honolulu, HI, United States.
Erin M MillerBaylor University-Keller Army Community Hospital Division 1 Sports Physical Therapy Fellowship, West Point, NY, United States.
Amy N WeartDepartment of Physical Therapy, Keller Army Community Hospital, West Point, NY, United States.
Eliza B SzymanekMadigan Army Medical Center, Tacoma, WA, United States.
Gregory M FreisingerDepartment of Civil and Mechanical Engineering, United States Military Academy, West Point, NY, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A rearfoot strike (RFS) pattern with increased average vertical loading rates (AVLR) while running has been associated with injury. This study evaluated the ability of an instrumented sock, which provides real-time foot strike and cadence audio biofeedback, to transition previously injured military service members from a RFS to a non-rearfoot strike (NRFS) running pattern. Nineteen RFS runners (10 males, 9 females) were instructed to wear the instrumented socks to facilitate a change in foot strike while completing an independent walk-to-run progression and lower extremity exercise program. Kinetic data were collected during treadmill running while foot strike was determined using video analysis at initial (T1), post-intervention (T2), and follow-up (T3) data collections. Nearly all runners (18/19) transitioned to a NRFS pattern following intervention (8 ± 2.4 weeks after the initial visit). Most participants (16/18) maintained the transition at follow-up (5 ± 0.8 weeks after the post-intervention visit). AVLR of the involved and uninvolved limb decreased 29% from initial [54.7 ± 13.2 bodyweights

Indexed as

cadencefoot strikegait-retrainingloading raterunning biomechanicswearable technology

Identifiers

PMID33718868
PMCPMC7952986

What OpenQuestion holds

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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.