Questions:


Relation between Lifestyle and Body Composition among Young Females in Serbia of 18–29… DOI: http://dx.doi.org/10.5772/intechopen.83586

Body composition variables:


Index:

2. Methodology

Cardiorespiratory Fitness

2.1 Subject samples

studies [33, 48].

2.3 Variables

Questions:

3—regularly)

4 h per week)

66

study, and all invitees agreed to participate.

2.2 Body composition measuring method

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

Body composition measurement was done by multisegmental bioelectrical impedance analysis (BIA). We relied on a professional measurement equipment— In Body 720 Tetrapolar 8-Point Tactile Electrode System (Biospace, Co., Ltd.) and DSM-BIA method (direct segmental multi-frequency bioelectrical impedance analysis). BIA is a widely used standard method for determining whole body composition and segmental lean mass measurements. InBody [45] body

composition analyzer has high test-pretest reliability and accuracy (ICC 0.9995) [46]. Compared with DXA as a golden standard, the interclass correlation coefficient of BIA was between 0.96 and 0.99 in the normal-weight population [47]. All measurement had been performed between 2013 and 2016, in the morning hours. The procedure and course of analysis have been described in previous

We used a validated questionnaire [49] in order to collect data about lifestyle, living habits, and physical activity of young females. The participants were given five questions about their physical activity, with four close-ended answers to each question. Each response was validated from 0 to 3, which thus gave the maximum

• how often? (0—never; 1—1–2 h per week, 2—3–4 h per week; 3—more than

• how do you spend your free time? (0—watching TV, listening to music, using computer, reading books; 1—shopping, 2—walking; 3—practicing sport)

• how much time do you spend behind a computer? (0—over 6 h per day;

• how would you describe your daily lifestyle? (0—too sedentary;

total score of 15. The higher scores indicated healthier behavior.

1—5–6 h per day, 2—2–4 h per day; 3—1–2 h per day)

1—sedentary, 2—moderately active; 3—very active)

• do you exercise? (0—never; 1—occasionally, 2—only seasonally;


Point score:


### 2.4 Statistical analyses

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).
