Studies on foot morphological characters A basis for the development of footwear with fit and comfort for obese individuals

Similar documents
The Influence of Load Carrying Modes on Gait variables of Healthy Indian Women

THE INFLUENCE OF SLOW RECOVERY INSOLE ON PLANTAR PRESSURE AND CONTACT AREA DURING WALKING

Program B-4 Evaluating Physical Development and Nutrition

JAPMA Article In Press

The Effect of a Seven Week Exercise Program on Golf Swing Performance and Musculoskeletal Screening Scores

A Study on the parameters of the feet of adolescent boy. Engineering Faculty, Leather Engineering Department,

THE ANGLE OF SHOULDER SLOPE IN NORMAL MALES AS A FACTOR IN SHOULDER HARNESS DESIGN OFFICE OF AVIATION MEDICINE FEDERAL AVIATION AGENCY

Work Space Recommendations on the Basis of Anthropometric Measurements of Punjabi Women

New research that enhances our knowledge of foot mechanics as well as the effect of

Foot Anthropometric Profile of High School Students in Bandung

Analysis of Foot Pressure Variation with Change in Stride Length

RELATIONSHIP OF SELECTED KINEMATIC VARIABLES WITH THE PERFORMANCE OF DOUBLE HANDEDBACKHAND IN TENNIS. Rajesh Kumar, M.P.Ed,

The Effect of Altitude on Growth of Anthropometric and Motor Performance of 14 Year Old Adolescence

A COMPARISON OF SELECTED BIOMECHANICAL PARAMETERS OF FRONT ROW SPIKE BETWEEN SHORT SET AND HIGH SET BALL

An Exploratory Study of Psychomotor Abilities among Cricket Players of Different Level of Achievement

This article has been downloaded from JPES Journal of Physical Education an Sport Vol 24, no 3, September, 2009 e ISSN: p ISSN:

COMPARING 3D FOOT SHAPE MODELS BETWEEN TAIWANESE AND JAPANESE FEMALES

Biomechanical analysis of spiking skill in volleyball

Biomechanics of extreme sports a kite surfing scenario

Introduction to ICD-10-CM. Improving the Financial Health of the Practices we Serve.

An Examination of the Effects of a Curriculum Based Pedometer Program in Two Age Groups: Adults and Pre-Adolescent Children

Flip-flop footwear with a moulded foot-bed for the treatment of foot pain: a randomised controlled trial

A study on the effect of limb length and arm strength on the ball release velocity in cricket

Foot morphology of normal, underweight and overweight children

A Comparative Study of Running Agility, Jumping Ability and Throwing Ability among Cricket Players

Measuring Heterogeneous Traffic Density

VISIONS FOR FOOTWEAR TIP SHAPE ACCORDING TO THE CONFIGURATION FINGER

Analysis of Gait Characteristics Changes in Normal Walking and Fast Walking Of the Elderly People

R J Tunbridge and J T Everest Transport and Road Research Laboratory CROWTHORNE, England

Evidence Summary: Rock Climbing

Contents Introduction Wear Supportive Footwear Do Heat Therapy Do Cold Therapy Perform Restorative Exercises...

Running Injuries in Adolescents Jeffrey Shilt, M.D. Part 1 Page 1

Customized rocker sole constructions

Fat flat feet: footwear for the obese child

A Comparative Study on Speed and Endurance among Basketball and Kho-Kho Players of Hyderabad

Anaerobic and aerobic contributions to 800 m and 8 km season bests

A COMPARATIVE STUDY ON RESPIRATORY PARAMETERS BETWEEN SHORT DISTANCE AND LONG DISTANCE SWIMMERS

Health Beyond Healthcare The Chronic Disease Impacts of Neighborhood Design. Erik J. Aulestia, AICP Principal, Torti Gallas + Partners

Chapter I examines the anthropometric and physiological factors that. determine success in sport. More specifically it discusses the somatotype

Genetic correlations between racing performance at different racing distances in Thoroughbreds and Arab horses

The Influence of Heavy Truck Egress Tactics on Ground Reaction Force

A Comparative Analysis of Motor Fitness Components among Sprinters, Throwers and Jumpers

An ocean-atmosphere index for ENSO and its relation to Indian monsoon rainfall

Physical activity has a number of benefits

Foot morphology of Turkish football players according to foot preference

The latest from the World Health Organization meeting in October 2011 ICF updates

A CROSS-SECTIONAL ANALYSIS OF SKILL RELATED PHYSICAL FITNESS COMPONENTS OF KAYAKING AND ROWING PLAYERS

Analyses and statistics on the frequency and the incidence of traffic accidents within Dolj County

EXPLORING MOTIVATION AND TOURIST TYPOLOGY: THE CASE OF KOREAN GOLF TOURISTS TRAVELLING IN THE ASIA PACIFIC. Jae Hak Kim

Sandra Nutter, MPH James Sallis, PhD Gregory J Norman, PhD Sherry Ryan, PhD Kevin Patrick, MD, MS

As a physiotherapist I see many runners in my practice,

Chapter III PROCEDURE SELECTION OF SUBJECTS

Walkable Communities and Adolescent Weight

Post impact trajectory of vehicles at rural intersections

Gabriel Gijón Noguerón Eva Lopezosa Reca Ana Belen Ortega Avila. Faculty of Health Science. University of Malaga

Gait Analyser. Description of Walking Performance

Treating Foot Pain in Alpine Skiers with

NBA TEAM SYNERGY RESEARCH REPORT 1

Anthropometric Characteristics of Feet of Soldiers in the New Zealand Army

CHAP Summary 8 TER 155

Is lung capacity affected by smoking, sport, height or gender. Table of contents

BODY FORM INFLUENCES ON THE DRAG EXPERIENCED BY JUNIOR SWIMMERS. Australia, Perth, Australia

SUPPLEMENTARY INFORMATION

Handbook of. and manufacture. footwear design. TheTextile Institute. Edited by. A. Luximon. Woodhead Publishing Series in Textiles: Number 141

REPORT. A comparative study of the mechanical and biomechanical behaviour of natural turf and hybrid turf for the practise of sports

Dairy Strength. Holstein Cow. Jersey Cow. Dairy Strength makes up 25% of the Holstein score card.

At What Extent Physical Training Can Minimize Gender Differences in Male and Female Trained Swimmers? - A Comparative Analysis

Knowledge of Emergency Contraception in the Southern States of India

Proposed Paralympic Classification System for Va a Information for National federations and National Paralympic Committees

Chayanin Angthong, MD, PhD Foot & Ankle Surgery Department of Orthopaedics, Faculty of Medicine Thammasat University, Pathum Thani, Thailand

Synchronization of Signalized Intersection from Rasoma to High Court in Indore District

Land Use and Cycling. Søren Underlien Jensen, Project Manager, Danish Road Directorate Niels Juels Gade 13, 1020 Copenhagen K, Denmark

Influence of the size of a nation s population on performances in athletics

Tightening Evaluation of New 400A Size Metal Gasket

Health and Community Design: The Local Government Role in Promoting Active Living

User s Guide

Solutionbank S1 Edexcel AS and A Level Modular Mathematics

ABSTRACT AUTHOR. Kinematic Analysis of the Women's 400m Hurdles. by Kenny Guex. he women's 400m hurdles is a relatively

Walking speemtmmkubjects and amputees: aspects of validity of gait analysis

Walk or Waddle? Caroline Jiang Hayley Shen Biol/ Phys 438 April 8, 2003

Biomechanical Comparison of Two Different Kicks in Soccer

Age gradient in the cost-effectiveness of bicycle helmets Kopjar B, Wickizer T M

Anthropometric and Biomechanical Characteristics on Body Segments of Koreans

Joint Impact of Lower Extremities in Obese and Overweight Children. Jenny Patel and Benjamin Sweely Tickle College of Engineering November 16th, 2017

SATURATION FLOW ESTIMATION AT SIGNALIZED INTERSECTIONS UNDER MIXED TRAFFIC CONDITIONS

SELECT WHEY SOME THOUGHTS ON WHY WHEY PROTEIN CONTINUES TO BE CLINICALLY IMPORTANT

The Effects of Chronic Creatine Supplementation on Performance and Body Composition of Female Athletes. by Megan Brenner

Conservation Limits and Management Targets

It has been observed that 20-30% of children never form the arches or curves in both the feet or in just one foot.

Phenotypic Standard of. Australian Brahman Cattle. Compiled by the Australian Brahman Breeders Association Ltd VERSION 06

A bit of background. Session Schedule 3:00-3:10: Introduction & session overview. Overarching research theme: CPTA

PATHOLOGICAL CONDITIONS REQUIRING THE USE OF CUSTOMIZED LASTS

Evidence Summary: Golf

The Willingness to Walk of Urban Transportation Passengers (A Case Study of Urban Transportation Passengers in Yogyakarta Indonesia)

Study of anthropometric characteristics among the university level archers

Investigation of Relationship of Strength and Size of Different Body Parts to Velocity of Volleyball Serve and Spike

Factors of Influence on the Walking Ability of Children with Spastic Cerebral Palsy

Body mass index and incidence of menorrhagia among adolescent female undergraduate students in Nigeria

Arch Height and Running Shoes: The Best Advice to Give Patients

A Comparative Look at Pain Prevalence: Europe and U.S.

Transcription:

Academia Journal of Scientific Research 3(3): 000-000, February 2019 DOI: 10.15413/ajsr.2019.0400 ISSN 2315-7712 2019 Academia Publishing Research Paper Studies on foot morphological characters A basis for the development of footwear with fit and comfort for obese individuals Accepted 4th February, 2019 ABSTRACT Selvaraj Mathivanan 1 * and P. Balachender 2 1 CSIR- Central Leather Research Institute, Chennai 600020, Tamil Nadu, India. 2 Anna University, Chennai 600 025, Tamil Nadu, India. *Corresponding author. E-mail: mathivanans@hotmail.com, p_balachander@yahoo.com. Overweight and obesity are increasing health problems that cause excess body weight to chronic heel-pain, plantar-fasciitis, ankle, knee-pain and other ill-foot problems. There is a need for designing suitable footwear for these people based on their foot-morphologies and body mass index (BMI). In the present study, the foot morphological parameters such as height, weight, length of foot, ball girth, instep girth, heel girth and ankle girth were measured. Data were analysed descriptively and were statistically correlated with the foot characteristics according to BMI categorisation of obese individuals. The results showed significant linear relationship on ball girth and ankle girth with response to BMI. The instep girth and heel girth showed positive correlation with BMI. No significant difference in length of foot with body mass index of obese individuals was observed. The results are useful for the design of shoe lasts for obese individuals and for the development of comfort footwear. Key words: Anthropometry, body mass index, footwear design, shoe-last. INTRODUCTION Overweight and obesity are major health problems in many parts of the world and the incidence of these conditions is on the increase. The prevalence of obesity is increasing in both developed and developing countries (Dennis, 1992). Among numerous other medical conditions, a high incidence of osteoarthritis, painful feet and symptomatic complaints in the joints of the lower extremities are frequently reported for obese persons. Obesity is a medical condition in which excess body fat accumulates to the extent that it may have a negative effect on health. Obesity has reached epidemic proportions globally, with more than 1 billion people in the world being overweight adults, and there are around 300 million people who are obese (Garrow, 1988). The population under higher BMI categories is constantly on rising trend all over the world and has become primarily a threatening factor for the people not along overseas but also for countries such as India. According to the survey conducted by All India Institute of Medical Science, it was observed that 34% of men and 40.3% women were overweight and obese. In the twenty-first century, obesity has reached epidemic proportions in India, with morbid obesity affecting 5% of the country s population (Jung et al., 2001). India is following a trend of other developing countries that are steadily becoming more obese. According to National Family Health Survey (NFHS-3), the overall prevalence of overweight/obesity in India was 12.1% in men and 16% in women. In India, a study conducted by Swami et al. (2015) estimated that prevalence of overweight and obesity among elderly in urban area was 33% (Krauss et al., 2008). Obesity is defined as a condition of abnormal or excessive fat accumulation in adipose tissue, to the extent that health is impaired (Manna e al., 2001). Obesity is most commonly caused by a combination of excessive food intake, lack of physical activity and genetic susceptibility (Mauch et al., 2009). It is mostly preventable through a combination of social changes and personal choices, changes to diet and exercising are the main treatments (WHO, 2000). Obesity is a leading preventable cause of death worldwide with increasing rates in adults and children. Body mass index

(BMI) is a simple and widely used method for estimating body fat mass (Mei et al., 2002). BMI was defined in the 19 th century by the Belgian statistician (Nigg et al., 1999). People are generally considered obese when their body mass index (BMI), a measurement obtained by dividing a person s weight by the square of the person s height, is over 30 kg/m 2 with the range 25-30 kg/m 2 defined as overweight (Prentice and Jebb, 1995). BMI is calculated by dividing the subject s mass by the square of his or her height, typically expressed either in metric or US.BMI = Weight (in kg)/ Height 2 (in m). The Morphology changes with BMI Individuals are classified into different categories as per their BMI as shown in Table 1 (Nuttall, 2015). Body Mass Index (BMI) was derived from booking weight (kilograms) and height (metres). Using this, the patients were categorized as underweight (<18.5 kg/m 2 ), normal or lean BMI (18.5 22.9 kg/m 2 ), overweight (23.0 24.9 kg/m 2 ) and obese ( 25 kg/m 2 ) based on the revised consensus guidelines for India. The foot dimensional characters are significantly different from normal subjects to obese subject. The foot morphological features are affected due to heaviness of weight of obese individuals and the girth measures of feet that are wider than the normal subjects. The feet of obese are predominantly found with lower foot arches due to excessive pounding and loading over the plantar surface of feet. Hence, the wide feet character along with lower foot arch is the primary factors affected by higher level of body mass index. The studies on foot morphology especially for obese individuals assume importance and it further necessitates modelling of Shoe-Lasts to exactly meet the terms of foot morphological parameters. The knowledge of foot morphology is important for the design and development of footwear. The anthropometrics emphasizes that any aspect of pathological function is depending on the morphology, and the objective way of evaluating and comparing the aspects of morphology in the human is highly significant in footwear applications. Anthropometry is very important field of application in footwear and orthotics industry (Priyadharshini et al., 2017; Suresh et al., 2015). Anthropometry refers to the measurement of the human individual, which involves the systematic measurement of the physical properties of the human body, primarily dimensional descriptors of body size and shape. At present, anthropometry plays an important role in industrial design, clothing design, ergonomics where statistical data about the distribution of body dimensions in the population are used to optimize products. Changes in lifestyles, nutrition, and ethnic composition of populations lead to changes in the distribution of body dimensions (e.g. the obesity epidemic) and require regular updating of anthropometric data collections. A study by Defour et al. (2009) examined the factors associated with foot pain, including current and past shoe wear. Footwear should be based on foot shape. Hence, knowledge of foot anthropometrics is an important prerequisite to optimize last design (Swami et al., 2005). It is well known that foot shape is manifold and could differ from one individual to another (Sweeting, 2007). Fit has been identified as a primary component of footwear comfort and discomfort (The Hindu, 2007). Various types of foot should be considered in manufacturing shoes (Waterson and Sell, 2006). From the above survey and discussion, it can be observed that obesity leads to varied foot deformation. Although, many research findings have been carried out on foot characteristics, the relationship between foot dimensional characteristics of obese and footwear conforming the morphological features of obese foot has not been much explored from literature findings. Hence, the obese individuals pose hardship in choosing ideal footwear to meet their foot dimensional and functional requirements. Finally, it has warranted the necessity of studying the foot anthropometric characteristics of obese individuals in this research. The data on varied foot parameters would form the basis for the design and development of shoe-last especially for obese individuals. The main purpose of the present foot morphological research is to develop footwear with the proper fit and comfort for improving the well-being of obese individuals during locomotion. There seems considerable scope and potential of research for obese possessing with varied foot deformities and foot related problems, it was revealed from literature research. There is a need and necessity to explore technical interventions on design and development of shoelast for obese individuals from the data of foot characteristics. The foot anthropometric characteristics play a key role for the design and development of shoe-last and appropriate footwear respectively. Footwear and last designers primarily rely on length, widths and girths of foot to design the lasts for shoes. Footwear should be made according to the foot dimensions of the user population. Fundamentally, the foot anthropometric survey has been prioritised as an important component of research. To achieve the above-said objectives, the rest of the study is organized as follows: materials and methods, description of the experiments, results and discussion and thereafter, the conclusion is drawn. MATERIALS AND METHODS Foot anthropometric studies for obese This survey was aimed at to study the distinctive characteristics of foot morphology in high body mass index (BMI) population. To commence the studies on foot anthropometric characteristics, the prime importance of conductance of foot survey was informed to the targeted individuals. To measure the dimensions of foot, sliding and spreading callipers, measuring tapes, Stature meters etc were procured from local market and standard methods

Table 1: Description of BMI classification. Underweight < 18.5 Normal range 18.5 24.9 Overweight 25.0 Preobese 25.0 29.9 Obese 30.0 Obese Class I 30.0 34.9 Obese Class II 35.0 39.9 Obese Class III 40.0 Table 2: Mean and SD mesures of Foot characteristics of obese. S/N Description Mean ± SD 1 Height 1.70 ± 0.08 2 Weight 97.27 ± 15.24 3 Body Mass Index 33.77 ± 4.98 4 Ball Girth 268.69 ± 12.10 5 Instep Girth 286.33 ± 23.64 6 Heel Girth 350.80 ± 30.17 7 Ankle Girth 265.56 ± 21.26 8 Length of foot 283.22 ± 28.88 were followed as described study by Singh and Bhasin (1989). Emphasis was placed on identifying appropriate human subjects who fall under the obese categorisation prior to the foot survey activities. The participants consent was sought and their willingness to take part with this activity was obtained. The participants exclusively males with a total strength of 55 were enrolled for the study on foot morphological characters. Calliper and tape measures are used as instruments for classic approaches to quantify foot-anthropometrics. Tapes were used to measure the circumference of foot, whereas calliper rules measure height, width and length dimension of foot. The anthropometric measurements such as height, weight, length of foot, ball girth of foot, instep girth, heel girth and ankle girth for the obese participants were taken and the mean and standard deviation on these parameters were estimated and are shown in the Table 2. The somatometric measurement of length of foot was taken between foot end and foot tip (anterior point of the most protruding toe) along the medial tangent of the foot (foot measuring line: y-axis). A sliding calliper was set over which foot was placed axially. The foot outline was measured for the length of foot (Singh and Bhasin, 1989). The ball girth of foot was measured using the tape covering the maximum circumference over the first metatarsophalangeal protrusion and fifth metatarsophalangeal joint protrusion. The instep girth was measured using the tape covering the circumference of the foot passing through the instep point. Subsequently, the heel girth was measured covering the dimension around a foot passing through the instep and heel feather point. The ankle girth was measured covering the circumference of the ankle region of foot of the obese participants (Montagu and Brozek, 1960). Total body-mass with minimum possible clothing was observed in standard weighing machines for the subjects. It can be clearly understood that the foot parameters identified for foot anthropometric survey are significantly distinct from the normal foot subjects. The characteristics such as girth dimensions of foot are wider and larger for obese participants. The foot survey research reveals the findings that the foot parameters of obese are not as similar as normal foot and there is a significant difference between them. RESULTS To achieve the objectives of the present study, morphological charactersitics of sample feet were garnered. The primary anthropometric characteristics: Height, Weight, BMI, Ball girth, Instepgirth, Heelgirth, Ankle girth and Length of foot were measured from the participation of 55 male obese categorised people. It was observed that the age group ranges between 22 and 57 of the participants classified as obese were enrolled in the foot anthropometric studies. The heights of the participants ranging from 1.35 to 1.89 m were measured. The weight of the participants from 72 kg to the maximum weight of 120 kg was measured and subsequently the BMI values were measured under the ranges between 25.51 and 42.82. The fitting girth measurements were obtained from 240 to 295 mm. The instep girth values ranging between 250 and 355 mm were observed and followed with the heel girth

measurements from 240 to 390 mm. Finally, the ankle girth values ranging between 214 and 328 mm and length of foot from 215 to 395 mm were obtained from the participants. The mean and standard deviation on the foot characteristics of obese were calculated and are shown in Table 2. The mean and standard deviation for height was 1.70 ± 0.08, followed by weight and body mass index with 97.27 ± 15.24 and 33.77 ± 4.98, respectively. The girth measures on the different regions of foot are shown in the Table 2. The mean and standard deviation for the ball girth was 268.69 ± 12.10, Instep girth 286.33 ± 23.64, Heel girth 350.80 ± 30.17, Ankle girth 265.56 ± 21.26 and length of foot 283.22 ± 28.88. Statistical analysis The data collected on the foot characteristics were analysed using statistical methodologies. The following statistical parameters were observed: Mean, minimum, maximum, variation, range, standard deviation, degree of freedom, coefficient of variation and correlation coefficient. The statistical method Bivariate Pearson analysis was carried out initially. The bivariate Pearson Correlation produces a sample correlation coefficient, r, which measures the strength and direction of linear relationships between pairs of continuous variables. The Pearson Correlation evaluates whether there is statistical evidence for a linear relationship among the same pairs of variables in the population, represented by a population correlation coefficient, ρ ( rho ). The Pearson Correlation is a parametric measure. The correlation can take on any value in the range [-1, 1]. The sign of the correlation coefficient indicates the direction of the relationship, while the magnitude of the correlation (how close it is to -1 or +1) indicates the strength of the relationship: -1 : perfectly negative linear relationship 0 : no relationship +1: perfectly positive linear relationship. The strength has been assessed by the following general guidelines: 0.1 < r <0.3 small / weak correlation 0.3 < r <0.5 medium / moderate correlation 0.5 < r < 1 large / strong correlation. The Body Mass Index and fitting girth, ankle girth had a statistically significant linear relationship (p <.01) and can be observed in Table 3. The direction of the relationship was positive (that is, Body Mass Index and fitting girth, ankle girth were positively correlated), meaning that these variables tend to increase together. For instance: the greater Body Mass Index is associated with larger fitting girth and ankle girth. The magnitude or strength of the association was approximately moderate (0.3 < r 0< 0.5). The Body Mass Index and Instep girth and heel girth had a statistically significant linear relationship (p < 0.05). The direction of the relationship was positive, that is, Body Mass Index and instep girth and heel girth were positively correlated, meaning that these variables tend to increase together. For instance; the greater Body Mass Index is associated with greater instep girth and heel girth. The magnitude, or strength, of the association is approximately moderate (0.3 < r <0.5). The Body Mass Index and length of foot did not have a statistically significant linear relationship (that is, p >0.005). The direction of the relationship was negative, that is, Body Mass Index and length of foot were negatively correlated and were inclined to decrease together. Hence, the magnitude or strength of the association is approximately weak (0.1< r <0.3). The Scatter Plot is presented to graphically illustrate the relationship of BMI with foot parameters: Ball girth and Instep girth are shown in Figures 1 and 2. It can be observed from the tabulated data that most of the obese samples were within the range 30 to 35. From Figure 1, it can be seen that the subjects of more than 80% are plotted within the body mass index ranges of 30 to 35. The fitting girth or ball girth parameter determines that the circumference measure of widest fore- part region of foot is concentrated in the ranges between 260 and 280 mm, respectively. It clearly implies that the subjects with the body mass index values of 30 to 35 possess wider ball girth dimensions and are categorised under wider fit measures. From Figure 2, it can be observed that the subjects of more than 70% are plotted within the body mass index ranges of 30 to 35. The instep girth parameter determines that the circumference measure of highest region of foot is concentrated in the ranges between 260 mm and 300 mm respectively. It describes that the subjects with the body mass index values ranging between 30 and 35 represent higher girth dimensions and are significantly distinctive as compared with normal foot characteristics. From Figure 3, it can be observed that the subjects of more than 80 % are plotted within a body mass index range of 30 to 35. The heel girth parameter determines that the circumference measure of heel region of foot is concentrated in the ranges between 300 and 380 mm respectively. It suggests that the subjects with the body mass index values between 30 and 35 represent higher heel circumference dimensions and are significantly possessing higher proportion as compared with normal foot characteristics. From Figure 4, it can be observed that the subjects of more than 60% are plotted within the body mass index ranges of 30 to 35. The ankle girth parameter determines that the circumference measure of ankle region of foot is concentrated in the ranges between 260 and 280 mm

Table 3: Statistical parameters for foot dimensions. Item Fitting girth mm Instep girth Heel girth Ankle girth Length of foot Pearson Correlation 0.396** 0.301* 0.329* 0.369** -0.09 Significance(2-tailed) 0.003 0.026 0.014 0.006 0.503 **. Correlation at 0.01(2-tailed). *. Correlation at 0.05(2-tailed). Figure 1: Scatter plot for BMI vs. Fitting Girth. Figure 2: Scatter plot for BMI vs. Instep Girth. Figure 3: Scatter plot for BMI vs. Heel Girth. Figure 4: Scatter plot for BMI vs. Ankle Girth. respectively. This implies that the subjects with body mass index values ranging between 30 and 35 represent higher ankle circumference values and are significantly different from normal foot characteristics. In Figure 5, it can be observed that the subjects of more than 60% are plotted against the body mass index ranges of 30 to 35. The length of foot examined is around 275 mm and is concentrated densely in this region. This indicates that there is no significant difference in response of higher body mass index proportion falling under the obese category. In summary, it is clearly understood that the obese feet possesses higher range of foot dimensional characters and are evidenced from the scatter plot diagrams. These data indicate that the development of shoe-last is necessary exclusively for obese individuals. Since all the foot anthropometric parameters pertaining to obese are significantly different from the foot characteristics of normal subjects, the development of shoe-last and the construction of footwear assumes greater importance and is an immediate need for the well-being of obese individuals.

Figure 5: Scatter plot for BMI vs. Length of foot. CONCLUSION The foot morphological characteristics of obese individuals were evaluated and the data obtained were analysed statistically in this study. The Pearson Correlation analysis showed that the Body Mass Index, ball girth and ankle girth had statistically significant linear relationship and were found to be positively correlated. This indicates that with increase in Body Mass Index, the dimensions of ball girth and ankle girth also increase in proportion. Similarly, the Body Mass Index and Instep girth and heel girth showed statistically significant linear relationship, indicating increase in instep girth and heel girth with increase in body mass index. In the case of the relationship of Body Mass Index with the length of the foot, there was no much significant statistical linearity. Hence, this study concludes based on the findings that there is a significant difference in footwear between normal and obese individuals on the foot morphological features. These research findings will be helpful and supportive for the modelling of their shoe-last, as a result, the design and development of appropriate footwear exclusively for the obese individuals with fit and comfort, need to be considered. REFERENCES Defour AB, Broe KE, Nguyen US, Gagnon DR, Hillstrom HJ, Walker AH, Kivell E, Hannan MT (2009). Foot Pain: is current or past shoe wear a factor? Arthritis Rheum. 61(10): 1352-1358. Dennis JJ (1992). The Art and Science of Fitting Shoes. Foot and Ankle. 13(5): 257-262. Garrow JS (1988). Obesity and related diseases. London: Churchill Livingstone. pp. 1 16. Jung S, Lee S, Boo J, Park J (2001). A Classification of foot types for designing footwear of the Korean elderly. Proceedings of the 5th symposium on Footwear Biomechanics, Zuerich Switzerland. pp. 48-49. Krauss I, Grau S, Mauch M, Maiwald C, Hortsmann T (2008). Sex related differences in foot shape. Ergonomics. 519(11): 1693-1709. Manna I, Pradhan D, Ghosh S, Kar SK, Dhara P (2001). A Comparative study of foot dimension between adult male and female and evaluation of foot hazards due to using of footwear. J. Phys. Anthropol. Appl. Hum. Sci. 20(4): 241-246. Mauch M, Grau S, Maiwald C, Horstmann T (2009). A new approach to children footwear based on foot type Classification. Ergonomics. 52(8): 999-1008. Mei Z, Grummer-Strawn LM, Pietrobelli A, Goulding A, Goran MI, Dietz WH (2002). Validity of body mass index compared with other bodycomposition screening indexes for the assessment of body fatness in children and adolescents. Am. J. Clin. Nutr. 75(6): 978-985. Nigg BM, Nurse MA, Stefanyshyn DJ (1999). Shoe inserts and orthotics for sport and physical activities. Medicine and Science. Sci. Sports and Exercise; 31: 421 428. Nuttall FQ (2015). Body Mass Index, Obesity, BMI and Health: A Critical review. Nutr. Today. 50(3): 117-128. Prentice AM, Jebb SA (1995). Obesity in Britain: gluttony or sloth. BMJ. 3(11):437 439. Priyadharshini R, Saraswathy G, GauthamGopalakrishna, Das BN, Vijay V (2017). Standardization of Foot Sizes of Patients with Diabetic Foot Ulcer through Anthropometric Survey. Anthropologist. 28(3): 139-146. Suresh KD, Gautham G, Md. Sadiq, Das BN, Jagathnath KKM (2015). Characteristics of Foot Dimensions of Children with Cerebral Palsy and Standardizing Orthosis Size - Through an Anthropometric Pilot Study. Anthropologist. 20(3): 727-734. Swami HM, Bhatia V, Gupta AK (2005). An epidemiological study of obesity among elderly in Chandigarh. Indian J. Community Med. 30(1): 1-5. Sweeting HN (2007). Measurement and definitions of obesity in childhood and adolescence: A field guide for the uninitiated. Nutr. J. 6:32. Waterson P, Sell R (2006). Recurrent themes and developments in the history of the Ergonomics Society. Ergonomics. 49(8): 743-799.