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-
1
Bennetts CJ, Owings TM, Erdemir A, et al: Clustering and classification of regional peak plantar pressures of diabetic feet. J Biomech 46: 19, 2013.
-
2
Keijsers NLW, Stolwijk NM, Louwerens JWK, et al: Classification of forefoot pain based on plantar pressure measurements. Clin Biomech (Bristol, Avon) 28: 350, 2013.
-
3
Rouhani H, Favre J, Crevoisier X, et al: Ambulatory assessment of 3D ground reaction force using plantar pressure distribution. Gait Posture 32: 311, 2010.
-
4
Štefan L, Kasović M, Zvonar M: Association between the levels of physical activity and plantar pressure in 6-14-year-old children. PeerJ 8: e8551, 2020.
-
5
Booth BG, Hoefnagels E, Huysmans T, et al: PAPPI: personalized analysis of plantar pressure images using statistical modelling and parametric mapping. PLoS One 15: e0229685, 2020.
-
6
Matlosz P, Szybisty A, Momola I, et al: Plantar pressure distribution assessment of young school children. Sci Rev Phys Culture 7: 2, 103, 2017.
-
7
Feka K, Brusa J, Cannata R, et al: Is bodyweight affecting plantar pressure distribution in children? an observational study. Medicine (Baltimore) 99: e21968, 2020.
-
8
Zhao Y, Zheng D, Yan S, et al: Children with obesity experience different age-related changes in plantar pressure distributions: a follow-up study in China. Int J Environ Res Public Health 17: 6602, 2020.
-
9
Catan L, Amaricai E, Onofrei RR, et al: The ımpact of overweight and obesity on plantar pressure in children and adolescents: a systematic review. Int J Environ Res Public Health 17: 6600, 2020.
-
10
Yan S, Li R, Shi B, et al: Mixed factors affecting plantar pressures and center of pressure in obese children: obesity and flatfoot. Gait Posture 80: 7, 2020.
-
11
Walsh TP, Butterworth PA, Urquhart DM, et al: Increase in body weight over a two-year period is associated with an increase in midfoot pressure and foot pain. J Foot Ankle Res 10: 31, 2017.
-
12
McPoil TG, Haager M, Hilt J, et al: Can static foot posture measurements predict regional plantar surface area? Foot (Edinb) 24: 161, 2014.
-
13
Dulai S, Ramadi A, Lewicke J, et al: Functional characterization of plantar pressure patterns in gait of typically developing children using dynamic pedobarography. Gait Posture 84: 267, 2021.
-
14
Giacomozzi C, Stebbins JA: Anatomical masking of pressure footprints based on the Oxford Foot Model: validation and clinical relevance. Gait Posture 53: 131, 2017.
-
15
Cousins SD, Morrison SC, Drechsler W: The reliability of plantar pressure assessment during barefoot level walking in children aged 7-11 years. J Foot Ankle Res 5: 8, 2012.
-
16
Ozturk B, Angin E, Guchan Z, et al: Assessment of the plantar pressure, muscle strength and balance in patients with type 2 diabetes mellitus in Cyprus. Open J Endocr Metab Dis 6: 151, 2016.
-
17
Cousins SD, Morrison SC, Drechsler WI: Foot loading patterns in normal weight, overweight and obese children aged 7 to 11 years. J Foot Ankle Res 6: 36, 2013.
-
18
Hafer JF, Lenhoff MW, Song J, et al: Reliability of plantar pressure platforms. Gait Posture 38: 544, 2013.
-
19
Mayolas Pi C, Arrese AL, Aparicio AV, et al: Distribution of plantar pressures during gait in different zones of the foot in healthy children: the effects of laterality. Percept Mot Skills 120: 159, 2015.
-
20
Molina-Garcia P, Miranda-Aparicio D, Molina-Molina A, et al: Effects of exercise on plantar pressure during walking in children with overweight/obesity. Med Sci Sports Exerc 52: 654, 2020.
-
21
Wang Y, Li Z, Wong DW, et al: Effects of ankle arthrodesis on biomechanical performance of the entire foot. PLoS One 10: e0134340, 2015.
-
22
Morales-Orcajo E, Souza TR, Bayod J, et al: Non-linear finite element model to assess the effect of tendon forces on the foot-ankle complex. Med Eng Phys 49: 71, 2017.
-
23
Celik Y: How, Biostatistics and Modern Scientific Research with SPSS, 4th Ed, p 264, Nobel Medical Bookstores, 2017.
-
24
Teyhen DS, Stoltenberg BE, Collinsworth KM, et al: Dynamic plantar pressure parameters associated with static arch height index during gait. Clin Biomech 24: 391, 2009.
-
25
Müller S, Carlsohn A, Müller J, et al: Static and dynamic foot characteristics in children aged 1-13 years: a cross-sectional study. Gait Posture 35: 389, 2012.
-
26
Levy JC, Mizel MS, Wilson LS, et al: Incidence of foot and ankle injuries in West Point cadets with pes planus compared to the general cadet population. Foot Ankle Int 27: 1060, 2006.
-
27
Periyasamy R, Anand S: The effect of foot arch on plantar pressure distribution during standing. J Med Eng Technol 37: 342, 2013.
-
28
Queen RM, Mall NA, Nunley JA, et al: Difference in plantar loading between flat and normal feet during different athletic tasks. Gait Posture 29: 582, 2009.
-
29
Stanković K, Booth BG, Danckaers F, et al: Three-dimensional quantitative analysis of healthy foot shape: a proof of concept study. J Foot Ankle Res 11: 8, 2018.
-
30
Vette AH, Funabashi M, Lewicke J, et al: Functional, impulse-based quantification of plantar pressure patterns in typical adult gait. Gait Posture 67: 122, 2019.
-
31
Demirbüken İ, Özgül B, Timurtaş E, et al: Gender and age impact on plantar pressure distribution in early adolescence. Acta Orthop Traumatol Turc 53: 215, 2019.
New Distinct Component Patterns for Plantar Pressure Variables by Using Principal Component Analysis
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Background: It is important to determine the plantar pressure distribution of schoolchildren by applying static and dynamic foot analyses using a pedobarography device. However, it is difficult to obtain clear interpretations from results that can be explained by a large number of plantar pressure variables. The aim of this study was to use principal component analysis (PCA) to predict the main components for reducing the size of big data sets, provide a practical overview, and minimize information loss on the subject of plantar pressure assessment in youths.
Methods: In total, 112 schoolchildren were included in the study (mean ± SD: age, 10.58 ± 1.27 years; body mass index, 18.86 ± 4.33). During the research, a pedobarography device was used to obtain plantar pressure data. Each foot was divided into six anatomical regions and evaluated. Global and regional plantar pressure distributions, load and surface areas, pressure-time integrals, weight ratios, and geometric foot properties were calculated.
Results: The PCA yielded ten principal components that together account for 81.88% of the variation in the data set and represent new and distinct patterns. Thus, 137 variables affecting the subject were reduced to ten components.
Conclusions: The numerous variables that affect static and dynamic plantar pressure distributions can be reduced to ten components by PCA, making the research results more concise and understandable.
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