2.1 Subject samples

This research included 248 females aged 18–29. The group comprised professionals, students of the University of Belgrade, and secondary school students. The average age of young females was 24.40 3.34 years. The research was conducted in accordance with the "Declaration of Helsinki for recommendations guiding physicians in biomedical research involving human subjects" [44] and with the permission of the Ethics Committee of the Faculty of Sport and Physical Education, University of Belgrade. Each subject was well informed about the purpose of the study, and all invitees agreed to participate.

Body composition variables:

DOI: http://dx.doi.org/10.5772/intechopen.83586

expressed in %;

expressed in %;

Point score:

2.4 Statistical analyses

3. Results

67

Index:

• BH—body height, expressed in cm;

• BW—body weight, expressed in kg;

• BMI—body mass index, expressed in kg/m2

• VFA—visceral fat area, expressed in cm2

body size, calculated as: FFM/BH<sup>2</sup>

weight, calculated as: BFM/BH<sup>2</sup>

;

• BFM%—body fat mass percentage, calculated as: (BW/BFM) 100,

Relation between Lifestyle and Body Composition among Young Females in Serbia of 18–29…

• SMM%—skeletal muscle mass percentage, calculated as: (BW/SMM) 100,

• FFMI—fat-free mass index, presented as fat-free mass (FFM) relative to

• FMI—fat-mass index, presented as Body Fat Mass (BFM) relative to body

• BCS—body composition score, a mathematical model with the highest degree of prediction has been selected on the basis of regression analysis (a more

• LSS—lifestyle score, representing the sum of points scored on the basis of the

Basic descriptive statistical parameters were calculated for all results in order to define the basic measures of central tendency and level of data's dispersion (mean, SD, cV%, min, max, 95% confidence interval). The criteria variable for assessing multivariate body composition score was calculated by using factorial analysis and following statistical procedures. The relation between lifestyle and body composition variables has been determined by the Pearson's probability coefficient. The threshold of statistically significant statistical difference stood at 95% probability level, p = 0.05. All statistical procedures were carried out by the Microsoft® Office Excel 2007 and

the SPSS for Windows, Release 17.0 (Copyright © SPSS Inc., 1989–2002).

Table 1 provides the results of descriptive statistics of body composition. Figure 1. provides the distribution of results of the correspondents' responses in

3.1 Results of descriptive statistics among young females

relation to physical activities habits.

detailed description has been provided in Section 3);

five questions, with the maximal sum of 15.

;

, expressed in kg/m<sup>2</sup>

, expressed in kg/m<sup>2</sup>

;

;
