Relationship Between Anterior–Posterior Plantar Reaction Force Distribution and Gait Speed in Post-Stroke Patients

Background: Gait speed is an important indicator of walking ability in post-stroke patients. Although gait speed is associated with anterior–posterior reaction force (AP RF), how AP RF is distributed across the plantar surface and whether this distribution is associated with gait speed remain unclear. Methods: Fifteen post-stroke patients and 18 healthy controls were included. AP RF was measured during walking using a sensor shoe system equipped with four triaxial force sensors located at the heel, first metatarsal (MT1), fifth metatarsal (MT5), and toe regions. AP RF distribution was quantified as the relative contribution of each plantar region and compared among the paretic, non-paretic, and control sides across the stance phase using linear mixed-effects models. Associations between AP RF distribution and gait speed were examined using Spearman’s rank correlation coefficients, with p-values adjusted for multiple testing using the Benjamini–Hochberg false discovery rate procedure. Results: Significant group × stance phase interactions were observed for the relative contributions of MT1 and MT5. After correction for multiple comparisons, the MT1 contribution at 81–90% of the stance phase was lower on both the paretic and non-paretic sides than on the control side, whereas the MT5 contribution at 1–10% was higher on both sides than on the control side. Total AP RF was also lower on the paretic and/or non-paretic sides than on the control side during several stance phases. On the non-paretic side, the MT5 contribution at 1–10% was negatively correlated with gait speed (rs = −0.66, BH-FDR adjusted p = 0.04). Conclusions: Post-stroke patients showed altered AP RF distribution during the early and late stance phases compared with healthy controls. Greater MT5 contribution on the non-paretic side during early stance was associated with slower gait speed, suggesting that AP RF distribution may provide additional information for characterizing gait impairment after stroke beyond total AP RF.

Authors

Institutions

Publication Details

Journal
Journal of Clinical Medicine
Published
2026-10-16
DOI
https://doi.org/10.3390/jcm15208014
Primary Topic
Stroke Rehabilitation and Recovery
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Relationship Between Anterior–Posterior Plantar Reaction Force Distribution and Gait Speed in Post-Stroke Patients

Midori Miyagi, Toshiaki Nishi, Takeshi Yamaguchi, Yoshihiro Sasaki et al.
Journal of Clinical Medicine
Stroke Rehabilitation and Recovery
article

Relationship Between Anterior–Posterior Plantar Reaction Force Distribution and Gait Speed in Post-Stroke Patients

Midori Miyagi, Toshiaki Nishi, Takeshi Yamaguchi, Yoshihiro Sasaki, Junichi Hayasaka, Hide Matsumoto, Daiki Naito, Keita HONDA, Satoru Ebihara, Yusuke Sekiguchi, Daiki Haruyama, Yuzuki Nakai
article en

Abstract

Background: Gait speed is an important indicator of walking ability in post-stroke patients. Although gait speed is associated with anterior–posterior reaction force (AP RF), how AP RF is distributed across the plantar surface and whether this distribution is associated with gait speed remain unclear. Methods: Fifteen post-stroke patients and 18 healthy controls were included. AP RF was measured during walking using a sensor shoe system equipped with four triaxial force sensors located at the heel, first metatarsal (MT1), fifth metatarsal (MT5), and toe regions. AP RF distribution was quantified as the relative contribution of each plantar region and compared among the paretic, non-paretic, and control sides across the stance phase using linear mixed-effects models. Associations between AP RF distribution and gait speed were examined using Spearman’s rank correlation coefficients, with p-values adjusted for multiple testing using the Benjamini–Hochberg false discovery rate procedure. Results: Significant group × stance phase interactions were observed for the relative contributions of MT1 and MT5. After correction for multiple comparisons, the MT1 contribution at 81–90% of the stance phase was lower on both the paretic and non-paretic sides than on the control side, whereas the MT5 contribution at 1–10% was higher on both sides than on the control side. Total AP RF was also lower on the paretic and/or non-paretic sides than on the control side during several stance phases. On the non-paretic side, the MT5 contribution at 1–10% was negatively correlated with gait speed (rs = −0.66, BH-FDR adjusted p = 0.04). Conclusions: Post-stroke patients showed altered AP RF distribution during the early and late stance phases compared with healthy controls. Greater MT5 contribution on the non-paretic side during early stance was associated with slower gait speed, suggesting that AP RF distribution may provide additional information for characterizing gait impairment after stroke beyond total AP RF.

Journal of Clinical MedicineVol. 15(20)
Kumamoto Health Science University (JP), Tohoku University (JP), Tohoku University Hospital (JP), Research Institute for Electromagnetic Materials (JP), International University of Health and Welfare (JP), IRYO Sosei University (JP)
Japan Society for the Promotion of Science
Good health and well-being
Openalex Percentile: Top 17%
Stroke Rehabilitation and Recovery
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.