Background: Few previous studies focused on plantar loading patterns in HV patients with metatarsalgia. Are there any differences in plantar pressure measurements in women with HV with and without metatarsalgia?
Methods: A prospective matched-cohort study was designed to analyze plantar pressure measurements in women with HV with and without metatarsalgia from January 2017 to December 2019. The inclusion criteria were age over 18 years old, women, diagnosis of HV with metatarsalgia. Control group had the same inclusion criteria, except metatarsalgia. Patient-reported outcomes scores included American Orthopedic Foot and Ankle Society Score (AOFAS), and Visual Analog Scale (VAS). Radiographic data were obtained according to the guidelines of the AOFAS Committee on Angular Measurements. Plantar pressure measurements were performed using a platform.
Results: Forty-seven patients met the inclusion criteria. An age-, BMI-, and hallux valgus angle-matched cohort of 47 patients were also selected. There were no statistically significant differences in demographic data and radiographic assessment. HV with metatarsalgia group showed greater values in peak and mean force, peak and mean pressure, and pressure-time integral under toes and metatarsal heads. These differences reached statistically significant in mean force ( = 0.009) and peak force ( = 0.003) under T1; mean pressure ( = 0.01) and peak pressure ( = 0.04) under T1; and mean force ( = 0.003) under MH1. The binary logistic regression analysis showed mean force under T1 as the most associated plantar pressure measurement with the presence of metatarsalgia. C-statistic was 0.66. Mean force > 35 N had a 70% of sensitivity and a 57% of specificity as a cut-off value for the presence of metatarsalgia.
Conclusion: HV patients with metatarsalgia had greater values in plantar pressure measurements. Mean force under T1 could be used as a plantar pressure measurement to predict metatarsalgia.
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http://dx.doi.org/10.1007/s43465-021-00416-3 | DOI Listing |
J Foot Ankle Res
March 2025
The University of South Australia, Allied Health & Human Performance Unit, Adelaide, SA, Australia.
Background: This study investigated the effect of various offloading devices commonly used for the management of diabetic foot ulcerations on peak plantar pressure and pressure-time integral of the contralateral limb.
Methods: A quantitative, randomised and within-subject repeated measures study was conducted in an outpatient gait laboratory. Outpatients with unilateral diabetic foot ulcers and adequate perfusion to the lower limb without an intrinsic limb-length discrepancy who were able to walk were recruited for the study.
Gait Posture
December 2024
Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran; Pharmaceutical Research Center, Mashhad University of Medical Sciences, Mashhad, Iran; Department of Medical Informatics, UMC-Location AMC, University of Amsterdam, Amsterdam, the Netherlands. Electronic address:
Background: Measuring plantar pressure distribution is critical for understanding foot-ground interactions, providing valuable insights for diagnosing and managing various health conditions. Since its initial studies in 1984, this field has garnered increasing attention within healthcare and medicine due to its broad applications across clinical settings.
Research Question: How does measuring plantar pressure distribution affect healthcare outcomes across different age groups and health conditions?
Methods: This review thoroughly explores the literature concerning plantar pressure distribution, focusing on studies conducted from 1984 onwards.
J Biomech
January 2025
Department of Rehabilitation Medicine, Amsterdam UMC, University of Amsterdam, Meibergdreef 9 1105 AZ, Amsterdam, the Netherlands; Amsterdam Movement Sciences, Rehabilitation & Development, Amsterdam, the Netherlands.
The offloading effectiveness of custom-made footwear for people with diabetes is assessed using plantar pressure measurements. While such pressure data is multidimensional, it is mostly analyzed using a scalar - maximum peak plantar pressure (PMax). We aimed to investigate the associations between multiple peak plantar pressure parameters for footwear assessment and determine whether this assessment depends on the chosen parameter.
View Article and Find Full Text PDFJMIR Hum Factors
January 2025
Department of Biomedical Engineering, Chung Yuan Christian University, No. 200, Zhongbei Road, Zhongli District, Toayuan City, 32023, Taiwan, 886 32564507.
Background: Muscle fatigue, characterized by reduced force generation during repetitive contractions, impacts older adults doing daily activities and athletes during sports activities. While various sensors detect muscle fatigue via muscle activity, biochemical markers, and kinematic parameters, a real-time wearable solution with high usability remains limited. Plantar pressure monitoring detects muscle fatigue through foot loading changes, seamlessly integrating into footwear to improve the usability and compliance for home-based monitoring.
View Article and Find Full Text PDFSensors (Basel)
December 2024
School of Human Kinetics, Faculty of Health Sciences, University of Ottawa, Ottawa, ON K1N 6N5, Canada.
Freezing of gait (FOG) is a walking disturbance that can lead to postural instability, falling, and decreased mobility in people with Parkinson's disease. This research used machine learning to predict and detect FOG episodes from plantar-pressure data and compared the performance of decision tree ensemble classifiers when trained on three different datasets. Dataset 1 ( = 11) was collected in a previous study.
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