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Collateral Pressure Distribution At Planter Aspect Of Standing Posture Of Male Sportsperson As An Indicator Of Balance Mechanism

Ravinder Kumar, Sajjad Ahmad Bhat, Dhananjoy Shaw


In spite of increasing technological advances, the athletes have to perform tremendously as far as neuro-muscular co-ordination and collateral pressure distribution is concerned. The feet are considered as an important part of our body for standing a locomotive performance. It supports not only the whole body weight but also bears several times of body weight during physical performance. Different morphological foot characteristics are associated with different functions. The normal foot with twenty six (26) bones and associated muscles ensures the foot’s static and dynamic functions and contributes to the overall features of the foot, but the shape and morphology differs from individuals and are important for preventing injuries and providing information about sports performance. Human being having collateral asymmetricity in regard to morphological volume and functional/neurological ability, males are no exceptional. Considering the above analogy, it was hypothesized that collateral pressure distribution of standing posture of male sportsperson of right and left foot will be uneven. The aim of the study was to compare between right and left collateral pressure distribution of foot in standing posture of male sportspersons. The study was conducted on forty eight (48) males. Age of the sample ranged from 17 to 25 years. Data was collected using the portable pressure measurement plat from Zebris Inc;Germany (40x30 cm),supported with WinFDM-S software (Germany). The selected variables were Age (years), Weight (Kilograms), Height (meters), and Body Mass Index (BMI) to describe the sample. Selected variables were Average Left Fore Foot Force (%), Average Left Back Foot Force (%), Average Left Foot Force Total (%), Average Right Fore Foot Force (%), Average Right Back Foot Force (%) and Average Right Foot Force Total (%) .Collected data was computed using SPSS software for Mean, Standard deviation and t-test. The pressure distribution in regard to selected variables was found to be different between right foot and left foot. It was concluded that the collateral pressure distribution at planter aspect of standing posture of male sportspersons are uneven.

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R. P. Betts, C. I. Franks, A. J. M.

Boulton, T. Duckworth. Static and

dynamic foot pressure measurements

in the management of the incentive

foot, In: Proceedings of the

International Conference on

Biomechanics and Clinical

Kinesiology of Hand and Foot. IIT

Madras, 1985.

R. G. Braz, G. A. Carvaiho.

Relationship between quadriceps

angle (q) and plantar pressure

distribution in football players, Rev




IJBB (2017) 8–14 © JournalsPub 2017. All Rights Reserved Page 14

International Journal of Bionics and Biomaterials

Vol. 3: Issue1

Bras Fisioter, São Carlos. 2010;

(4): 296–302p.

J. K. Gurney, U. G. Kersting, D.

Rosenbaum. Dynamic foot function

and morphology in elite rugby league

athletes of different ethnicity, Appl

Ergon. 2009; 40: 554–9p.

J. M. Hausdorff, H. K. Edelberg, S.

Mitchell, A. L. Goldberger, J. Y. Wei.

Increased gait unsteadiness in

community-dwelling elderly fallers,

Arch Phys Med Rehabil. 1997; 78:


M. Hossert, M. Vyas, J. Leach, L. A.

Lipsitz, V. Novak. Foot pressure

distribution walking in young and

adults, BMC. 2005; 5(8).

O. D. Kandil, S. N. Aboelazm, M. S.

Mabroük. Foot biometrics: gender

differences in plantar pressure

distribution in standing position, Am J

Biomed Eng. 2014; 4(1): 1–9p.

J. F. Lehmann, B. J. De lateur, R.

Price. Biomechanics of normal gait,

Phys Med Rehabil Clin North Am.

; 3: 95–109p.

Q. Mei, M. t3raham, Y. Gu.

Biomechanical analysis of the plantar

and upper pressure with different

sports shoes, Biomed Eng Technol.

; 14: 181–91p.

R. Das, D. Mohan, P. Baruah, N.

Kumar. Analysis of Ground Force and

Temporal Parameters During Human

Gait for Design of Sensor Mechanism.

Department of Bio-Medical

Engineering, NEHU, Shillong

Biorehab, JournalsPub, 2016, 127–


S. Jena, G. M. Sakhare, S. K. Panda,

A. Thirugnanam. Determining

Predictability of Human Gait

Parameters Using Univariate and

Multivariate Regression Studies.

Department of Bio-Medical

Engineering, NEHU, Shillong,

Biorehab, Journals Pub, 2016, 44–



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