Somatotype and Body Composition of Indian Male and Female Swimmers, and their Relationship to Countermovement Jump Performance

Bawari, Bhanu; Adhikari, Ragini; Easow, Judy; Pullinger, Samuel Andrew

doi:10.34256/ijk23210

Cited by 3 publications

(1 citation statement)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Further, endomorphy, ectomorphy, and mesomorphy values are calculated according to the Heath and Carter method somatotype rating (Chakrabarti & Adhikari, 2023;Heath & Carter, 1967). Further, the x and y coordinate values were calculated (Bawari et al, 2023) and rounded to two decimals. Table 1 shows the data of these students and calculated values.…”

Section: Preparing the Datamentioning

confidence: 99%

Using R Programming for Somatoploting

Nandikolmath,

Samanchi,

Rana

et al. 2024

ijok

View full text Add to dashboard Cite

Introduction: Anthropometry is a technique employed to evaluate body dimensions and ratios by examining body length, width, circumference, and skinfold thickness. It is cost-effective, uncomplicated, and easily transportable, and it may be used in diverse industries. Somatotyping is a primary method used to classify the human physique based on three main components: endomorphy, mesomorphy, and ectomorphy. Heath and Carter established and modified the standards of somatotype, which continue to be employed for global measurements. Several software tools have been created for somatoploting, including SAS/GRAPH, Houcine, Orhan, and machine-learning models. Nevertheless, most of these tools are not open-source, resulting in laborious manual enumeration and hindering the accurate representation of differences among groups. A functional, open-source, precise tool is required to categorise somatotypes of extensive sample sizes and illustrate their differences. Method: R programming is a powerful and versatile programme language, particularly popular in statistical computing and graphics. It is widely used in various fields, like biostatistics, bioinformatics, and financial market analysis. R incorporates original programming concepts like object-oriented programming, which users can use transparently. This paper introduces how to use R programming as a tool for somatoploting, introduces the code for somatoploting, inserts x and y data, and executes the program to get a somatochart. It uses anthropometric data of 34 school-going students collected in Shindikurbet, Karnataka, aged between 10 and 12 years, collected through ISAK protocol guidelines to develop somatotypes and further plot them. Result: The paper holistically demonstrates using R programming to plot somatotypes in a 2-D Somatochart. Using this process, the reader can develop high-quality somatocharts in image or PDF formats. Conclusion: This study explores using R programming, an open-source software, for somatoploting and generating somatocharts. This method aids in understanding complex information, fact-explaining, and guiding action in various fields. It offers accessible data processing, analysis, and presentation, making implementing and saving budgets for students, researchers, and institutions easy. Further research could be conducted to make the code easier to use in Excel sheets or mobile applications.

show abstract

Section: Preparing the Datamentioning

confidence: 99%

Using R Programming for Somatoploting

Nandikolmath,

Samanchi,

Rana

et al. 2024

ijok

View full text Add to dashboard Cite

show abstract

Investigating Anthropometric characteristics and Somatotypes in Elite Indian Track & Field Athletes

Kamath,

Adhikari,

Bawari

et al. 2024

ijok

View full text Add to dashboard Cite

Introduction: The main aim of this study is to analyze the somatotype and body composition traits of elite-level male track and field competitors in India. Method: Thirty-eight male track and field athletes at the state and national level (Eleven jumpers, four middle-and long-distance runners, nineteen sprinters, and four throwers, took part in the study. Anthropometric measurements were performed for body mass, stature, 7 skinfold sites, 3 girths, and 2 breadths. Somatotypes, body fat %, fat mass and lean body mass for all subjects were also calculated. Results: The pairwise comparison analysis revealed significant differences in the endomorph component for throwers and athletes competing in sprint events (p = 0.000; 95% CI: -2.91 to -0.73), jump events (p = 0.000; 95% CI: -3.25 to -0.94), and middle- or long-distance events (p = 0.002; 95% CI: -3.46 to -0.67). The mesomorph component also revealed significant differences between throwers and athletes competing in sprint events (p = 0.035; 95% CI: -3.27 to -0.09), jump events (p = 0.013; 95% CI: -3.72 to -0.35), and middle- or long-distance events (p = 0.002; 95% CI: -5.00 to -0.92). Significant differences were found in the ectomorph component for jump and throw (p = 0.001; 95% CI: 0.72 to 3.31), for middle/long distance and sprint (p = 0.042; 95% CI: 0.04 to 2.48), for middle/long distance and throw (p = 0.000; 95% CI: 1.37 to 4.52), and for sprint and throw (p = 0.004; 95% CI: 0.46 to 2.91). Significant differences were found in the body fat percentage for jump and throw (p = 0.000; 95% CI: -7.50 to -1.96), for middle/long distance and throw (p = 0.004; 95% CI: -7.97 to -1.27), and for sprint and throw (p = 0.001; 95% CI: -6.86 to -1.64). Conclusion: Throwers were found to be more endomorphic mesomorphs, while middle-and long-distance runners were mesomorphic-ectomorphs, sprinters and jumpers were ectomophic-mesomorphs. Gaining a better understanding of the somatotypes of elite track and field athletes, helps to establish a benchmark for other Indian athletes in the sport, and help coaches improve their training methods.

show abstract

Anthropometric Characteristics and Somatotype Profiles of University Athletes in Nigeria: A Cross-Sectional Study

Leko,

Adefisan

2024

ijok

View full text Add to dashboard Cite

Introduction: This study aimed to determine and compare the anthropometric characteristics and somatotypes of male athletes participating in volleyball, basketball, and soccer at Madonna University, Nigeria. Methods: A cross-sectional study was conducted with 50 male athletes (15 volleyball, 15 basketball, 20 soccer players) aged 18-25 years. Anthropometric measurements, including height, weight, skinfold thicknesses, bone girths, and circumferences, were obtained. Somatotype was estimated using the Heath-Carter method. One-way ANOVA was used to compare the differences between the sports. Results: Basketball players were taller and heavier than the other athletes. Significant differences were found in height (p=0.033), triceps skinfold thickness (p=0.049), and humerus breadth (p=0.013) among the three sports. Volleyball players exhibited the highest endomorphy (4.03 ± 2.09) and mesomorphy (5.16 ± 1.44) scores, while soccer players showed the lowest endomorphy (2.97 ± 0.32) and highest ectomorphy (1.65 ± 0.71) values. The majority of athletes across all three sports were classified as endomorphic mesomorphs. Conclusion: The study provides insights into sport-specific physical characteristics and body compositions among Nigerian collegiate athletes, which may inform talent identification and training strategies. The findings highlight the need for further research to understand the unique attributes of athletes in these sports within the Nigerian context.

show abstract

Somatotype and Body Composition of Indian Male and Female Swimmers, and their Relationship to Countermovement Jump Performance

Cited by 3 publications

References 31 publications

Using R Programming for Somatoploting

Using R Programming for Somatoploting

Investigating Anthropometric characteristics and Somatotypes in Elite Indian Track & Field Athletes

Anthropometric Characteristics and Somatotype Profiles of University Athletes in Nigeria: A Cross-Sectional Study

Contact Info

Product

Resources

About