Construction and validation of a nomogram model for predicting different sites of ankle pain in runners with chronic ankle instability

This study aimed to establish a risk prediction nomogram model for anterolateral, mediolateral, and posterolateral ankle pain in runners with chronic ankle instability (CAI) and analyse the potential risk factors for pain at different ankle sites. Thirty recreational runners with CAI who reported ankle pain in the anterolateral, mediolateral, or posterolateral regions were recruited for this study. Kinematic, kinetic, and electromyographic data during running were collected using motion capture system, 3-D force platform, and surface electromyography system. These data were used to generate a dynamic nomogram. The results showed that anterolateral ankle pain in runners with CAI may be caused by insufficient gastrocnemius muscle strength (OR 0.85, 95% CI 0.73-0.97), excessive ground reaction force (GRF, OR 2.64, 95% CI 1.25-6.22), and an increased percentage of ankle energy absorption (OR 9.11, 95% CI 1.50-77.79). Mediolateral ankle pain might be contributed by greater ankle inversion angle (OR 1.08, 95% CI 1.01-1.00) and GRF (OR 2.13, 95% CI 1.17-4.31). Moreover, posterolateral ankle pain was predicted by increased ankle adduction angle (OR 1.06, 95% CI 1.00-1.12), increased GRF (OR 2.16, 95% CI 1.07-4.80), and decreased dynamic stability (OR 0.20, 95% CI 0.05-0.68). To prevent ankle pain, runners with CAI should be encouraged to focus on improving the neuroreceptor sensitivity of the gastrocnemius muscles, and retraining their energy absorption patterns.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2024-09-27
DOI
https://doi.org/10.1038/s41598-024-71688-6
Primary Topic
Foot and Ankle Surgery
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Construction and validation of a nomogram model for predicting different sites of ankle pain in runners with chronic ankle instability

Sun You-ping, Jian Song, Shengmeng Wei, Zeyi Zhang et al.
Scientific Reports
Foot and Ankle Surgery
article

Construction and validation of a nomogram model for predicting different sites of ankle pain in runners with chronic ankle instability

Sun You-ping, Jian Song, Shengmeng Wei, Zeyi Zhang, Hanlin Shi
article en

Abstract

This study aimed to establish a risk prediction nomogram model for anterolateral, mediolateral, and posterolateral ankle pain in runners with chronic ankle instability (CAI) and analyse the potential risk factors for pain at different ankle sites. Thirty recreational runners with CAI who reported ankle pain in the anterolateral, mediolateral, or posterolateral regions were recruited for this study. Kinematic, kinetic, and electromyographic data during running were collected using motion capture system, 3-D force platform, and surface electromyography system. These data were used to generate a dynamic nomogram. The results showed that anterolateral ankle pain in runners with CAI may be caused by insufficient gastrocnemius muscle strength (OR 0.85, 95% CI 0.73-0.97), excessive ground reaction force (GRF, OR 2.64, 95% CI 1.25-6.22), and an increased percentage of ankle energy absorption (OR 9.11, 95% CI 1.50-77.79). Mediolateral ankle pain might be contributed by greater ankle inversion angle (OR 1.08, 95% CI 1.01-1.00) and GRF (OR 2.13, 95% CI 1.17-4.31). Moreover, posterolateral ankle pain was predicted by increased ankle adduction angle (OR 1.06, 95% CI 1.00-1.12), increased GRF (OR 2.16, 95% CI 1.07-4.80), and decreased dynamic stability (OR 0.20, 95% CI 0.05-0.68). To prevent ankle pain, runners with CAI should be encouraged to focus on improving the neuroreceptor sensitivity of the gastrocnemius muscles, and retraining their energy absorption patterns.

Scientific ReportsVol. 14(1)
East China Normal University (CN)
East China Normal University
Climate action
Openalex Percentile: Top 78%
Foot and Ankle Surgery
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.

Construction and validation of a nomogram model for predicting different sites of ankle pain in runners with chronic ankle instability — Sun You-ping, Jian Song, et al. · Scientific Reports (2024) | TGRS Research Map | TGRS