01.03.2013 Views

1 TÜRKİYE PROFESYONEL LİGLERİNDE GÖREV ... - Spor Bilim

1 TÜRKİYE PROFESYONEL LİGLERİNDE GÖREV ... - Spor Bilim

1 TÜRKİYE PROFESYONEL LİGLERİNDE GÖREV ... - Spor Bilim

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

ASSESSMENT OF GENDER DIFFERENCES IN ANAEROBIC POWER AND CAPACITY<br />

Tahir HAZIR , Ş. Nazan KOŞAR<br />

Hacettepe University, School of <strong>Spor</strong>t Sciences and Technology, Ankara, TURKEY<br />

INTRODUCTION<br />

Results of the studies examining gender differences in anaerobic performance have shown that<br />

in absolute terms anaerobic power and capacity of males are significantly greater than those of<br />

females. However, the findings are confusing when data is expressed relative to body weight, lean<br />

body mass, muscle cross sectional area or active muscle mass. In studies comparing the individual<br />

differences in anaerobic performance, it is common to express the data relative to body weight in order<br />

to eliminate the influence of body dimensions. However, due to the differences in body composition<br />

(body fat percent, lean body mass etc.) among individuals there is a contradiction against to use of<br />

relative data scaled to body weight (Batterham and Birch, 1996; Nevill et al., 1992). Also, Mayhew<br />

(2001) demonstrated that body fat percent and lean body mass were significant differentiating<br />

components between men and women and allowed proper gender classification in 99% of the cases in<br />

his study. The results of these studies suggested that normalization of anaerobic performance data<br />

using body weight is not an independent index of body dimensions. In light of the discussion above,<br />

the purpose of this study was to determine gender differences in anaerobic power and capacity by<br />

using body weight, lean body mass and muscle cross sectional area as correction factors and analyzing<br />

data by using two different statistical methods: i) scaling data to body weight, lean body mass and<br />

muscle cross sectional area, ii) normalizing data by using body weight, lean body mass and muscle<br />

cross sectional area as covariates.<br />

METHODS<br />

A total of 53 university students (Male: 27 and Female: 26) from the department of physical<br />

education and sports were voluntarily participated in this study. The tests included measurement of<br />

anthropometric measures and Wingate test. Subjects were tested with a standard sport wear (sport<br />

shoes, short and t-shirt), after 2-3 hours following their usual breakfast, in the morning between the<br />

hours of 10:00-12:00 to circadian rhythm effects (Hill et al., 1991). In order to eliminate the effects of<br />

menstrual cycles on body composition parameters (Bunt et al., 1989) and anaerobic performance<br />

subjects were tested during the follicular phase of menstrual cycle. Body fat percent was calculated by<br />

using the equations developed by Açıkada et al., (1995a and 1995b). Thigh muscle cross sectional area<br />

(CSA) at the mid-part of the thigh was calculated by the equation developed by Knapik et al., (1996).<br />

Anaerobic power and capacity were determined using a Monarch 814E (Sweden) bicycle ergometer<br />

according to the Wingate Anaerobic Test procedures (Inbar, Bar-Or & Skinner, 1996). For gender<br />

comparisons with respect to anaerobic performance measures two different statistical analysis were

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!