Version 1
: Received: 12 June 2024 / Approved: 13 June 2024 / Online: 13 June 2024 (14:56:43 CEST)
How to cite:
Chandrashekhar, R.; Fonseca Perez, L.; Wang, H. Characterization of Great Toe Extension Strength Using ToeScale - A Novel Portable Device. Preprints2024, 2024060923. https://doi.org/10.20944/preprints202406.0923.v1
Chandrashekhar, R.; Fonseca Perez, L.; Wang, H. Characterization of Great Toe Extension Strength Using ToeScale - A Novel Portable Device. Preprints 2024, 2024060923. https://doi.org/10.20944/preprints202406.0923.v1
Chandrashekhar, R.; Fonseca Perez, L.; Wang, H. Characterization of Great Toe Extension Strength Using ToeScale - A Novel Portable Device. Preprints2024, 2024060923. https://doi.org/10.20944/preprints202406.0923.v1
APA Style
Chandrashekhar, R., Fonseca Perez, L., & Wang, H. (2024). Characterization of Great Toe Extension Strength Using ToeScale - A Novel Portable Device. Preprints. https://doi.org/10.20944/preprints202406.0923.v1
Chicago/Turabian Style
Chandrashekhar, R., Luciana Fonseca Perez and Hongwu Wang. 2024 "Characterization of Great Toe Extension Strength Using ToeScale - A Novel Portable Device" Preprints. https://doi.org/10.20944/preprints202406.0923.v1
Abstract
Great toe strength (GTS) weakness is linked to declines in balance and mobility. Assessing GTS, particularly great toe extension strength (GTES) accurately is often neglected in clinical evaluations due to cumbersome and subjective methods. This study aims to characterize the force development curve output from the ToeScale and examine GTES variations with age, sex, BMI, and grip strength (GS) using traditional analyses and machine learning (ML). We conducted a pilot, cross-sectional feasibility study with convenience samples. We assessed GS using a hand-grip dynamometer and GTES using the ToeScale. Data analysis included descriptive statistics, correlations, independent samples t-tests, and accuracy and area under the curve (AUC) scores for three ML models. Thirty-one participants (Males: 9, Females: 22), 14 young (18-24 years), and 17 older (>65 years) adults participated in the study. Males had significantly higher peak GTES than females in both age groups. Associations between GTES parameters with BMI and GS varied by age and sex. ML model accuracies and AUC scores were low-moderate but aligned with traditional analyses. Future studies with larger samples and optimized ML models are needed.
Keywords
great toe extension strength; force development curve; grip strength; machine learning.
Subject
Public Health and Healthcare, Physical Therapy, Sports Therapy and Rehabilitation
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
