Anthropometric characteristics of female and male athletes bear a different effect on fitness

3Citations
Citations of this article
29Readers
Mendeley users who have this article in their library.

Abstract

Background: Anthropometric variables are highly related to physical performance, being used for the control and monitoring of athletes in different sports. However, whether anthropometric characteristics of female and male athletes bear a different effect on fitness must be determined. Objectives: To relate anthropometric characteristics and fitness of female in comparison with male athletes. Methods: College athletes (n = 189, 112 males) were assessed in weight, height, body mass index, lower and upper body power, agility, and endurance. Results: Males had greater weight and height than female athletes (17 kg and 17 cm, respectively), as well as fitness performance in all tests. In both males and females upper body power was positively correlated with body mass and height (P < 0.05). In addition, agility was negatively correlated (P < 0.05) with height in males and body mass in females. Aerobic fitness show a negative correlation (P < 0.05) with body mass in males. Conclusions: Anthropometric characteristics of female and male athletes bear a different effect on fitness.

Author supplied keywords

References Powered by Scopus

Progressive statistics for studies in sports medicine and exercise science

7190Citations
N/AReaders
Get full text

The Yo-Yo intermittent recovery test: A useful tool for evaluation of physical performance in intermittent sports

1100Citations
N/AReaders
Get full text

Agility literature review: Classifications, training and testing

1030Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Impact of Sport Specific Type on Pulmonary Function and Anthropometric Measures of Adolescents

1Citations
N/AReaders
Get full text

Anthropometrical changes of highly-skilled female bodybuilders during basic mesocycle of annual preparation

1Citations
N/AReaders
Get full text

Hybrid Optimization Algorithm for Gender Prediction from Anthropometric Attributes Using Machine Learning

0Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Carter-Thuillier, B., Ramírez-Campillo, R., Serra-Olivares, J., Gallardo, F., Cresp, M., Nahuelcura, R. O., … Cañas-Jamett, R. (2019). Anthropometric characteristics of female and male athletes bear a different effect on fitness. Asian Journal of Sports Medicine, 10(2). https://doi.org/10.5812/asjsm.66164

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 6

46%

Researcher 4

31%

Lecturer / Post doc 3

23%

Readers' Discipline

Tooltip

Sports and Recreations 12

71%

Arts and Humanities 3

18%

Nursing and Health Professions 2

12%

Save time finding and organizing research with Mendeley

Sign up for free