Evidence map›Paper›PMID 38364508›Full record

Observational studyGait & posture2024

Cues to land softly and quietly result in acute reductions in ground reaction force loading rates in runners.

Lauren K Sara, Logan W Gaudette, José Roberto de Souza Júnior, Adam S Tenforde, Lindsay Wasserman, Caleb D Johnson

Abstract readObservational Study
In one paragraph

Observational study in Gait & posture, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Walking as a Window to the Brain: Redefining Gait in Neurology.Medical sciences (Basel, Switzerland) · 2026
    Review
  2. Article
  3. Biomechanics of a Drop Landing: Osteogenic Stimulus Measures May Vary.Journal of musculoskeletal & neuronal interactions · 2025
    Article
  4. 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.

Lauren K SaraSpaulding National Running Center, Spaulding Rehabilitation Hospital, Cambridge, MA 02138, USA; Department of Physical Medicine and Rehabilitation, Harvard Medical School, Cambridge, MA 02138, USA; Department of Rheumatology, Boston University, Boston, MA 02215, USA. Electronic address: lsara@bu.edu.
Logan W GaudetteSpaulding National Running Center, Spaulding Rehabilitation Hospital, Cambridge, MA 02138, USA.
José Roberto de Souza JúniorSpaulding National Running Center, Spaulding Rehabilitation Hospital, Cambridge, MA 02138, USA; Department of Physical Medicine and Rehabilitation, Harvard Medical School, Cambridge, MA 02138, USA; Graduate Program of Sciences and Technologies in Health, University of Brasília, Brasília, Federal District 72220-275, Brazil.
Adam S TenfordeSpaulding National Running Center, Spaulding Rehabilitation Hospital, Cambridge, MA 02138, USA; Department of Physical Medicine and Rehabilitation, Harvard Medical School, Cambridge, MA 02138, USA.
Lindsay WassermanSpaulding National Running Center, Spaulding Rehabilitation Hospital, Cambridge, MA 02138, USA.
Caleb D JohnsonSpaulding National Running Center, Spaulding Rehabilitation Hospital, Cambridge, MA 02138, USA; Department of Physical Medicine and Rehabilitation, Harvard Medical School, Cambridge, MA 02138, USA; United States Army Research Institute of Environmental Medicine, Natick, MA 01760, USA.

Funding

Boston University Rheumatology Research Training (BURRT) T32 ProgramT32AR080623 · NIAMS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI TUHINA NEOGI · 2022 to 2026
$895k
NIAMS NIH HHS T32 AR080623
6 · The paper itself

Abstract

backgroundA common gait retraining goal for runners is reducing vertical ground reaction force (GRF) loading rates (LRs), which have been associated with injury. Many gait retraining programs prioritize an internal focus of attention, despite evidence supporting an external focus of attention when a specific outcome is desired (e.g., LR reduction). RESEARCH QUESTION: Does an external focus of attention (using cues for quiet, soft landings) result in comparable reductions in LRs to those achieved using a common internal focus (forefoot striking while barefoot)?

methodsThis observational study included 37 injured runners (18 male; mean age 36 (14) years) at the OMITTED Running Center. Runners wore inertial measurement units over the distal-medial tibia while running on an instrumented treadmill at a self-selected speed. Data were collected for three conditions: 1) Shod-Control (wearing shoes, without cues); 2) Shod-Quiet (wearing shoes, cues for quiet, soft landings); and 3) Barefoot-FFS (barefoot, cues for forefoot strike (FFS)). Within-subject variables were compared across conditions: vertical instantaneous loading rate (LR, primary outcome); vertical stiffness during initial loading; peak vertical GRF; peak vertical tibial acceleration (TA); and cadence.

resultsVertical LR, stiffness, and TA were lower in the Shod-Quiet compared to Shod-Control p < 0.001). Peak vertical GRF and cadence were not different between Shod-Quiet and Shod-Control. Reductions in stiffness and LR were similar between Shod-Quiet and Barefoot-FFS, and GRF in Barefoot-FFS remained similar to both shod conditions. However, runners demonstrated additional reductions in TA and increased cadence when transitioning from Shod-Quiet to the Barefoot-FFS condition (p < 0.05). SIGNIFICANCE: These results suggests that a focus on quiet, soft landings may be an effective gait retraining method for future research.

Indexed as

CuesFootAdultBiomechanical PhenomenaFemaleGaitHandHumansMaleMiddle AgedShoesTibiaYoung AdultBiomechanicsGround reaction forcesKineticsRunningTibial acceleration

Identifiers

PMID38364508
PMCPMC10939780

What OpenQuestion holds

Textmetadata
LicenceTDM
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.