Obesity prevalence and trends of PBF related to age were defined on a sample of 8100 people among whom, 4955 were male (Age = 31.2 ± 10 yr) and 3145 were female (Age = 32.1 ± 11.3 yr). Body structure measurements were performed using a standardized method of multichannel bioimpedance analysis (BIA), using a body structure analyzer -InBody 720. The total sample was divided into two subsamples according to sex, where every subsample was divided into five different age groups.The mean PBF values of the Male total sample were 18.2 ± 8.0 % and the female total sample was 28.3 ± 9.2 %. Results of Kruskal-Wallis ANOVA with Dwass-Steel-Critchlow-Fligner post-hock showed that there are statistically significant differences (p < 0.001) between all age groups among themselves except groups 50 -60 and 60 -65 (p = 0.09). Analysis of obesity prevalence according to the PBF indicator in different age groups revealed the existence of statistically significant (p < 0.001) trends of increasing obesity with age, both in men and women. Based on the result of this study, it can be concluded that most of the Serbian working population are in the range of normal PBF values, excluding the male 30-39.9 yr and female 60-65 yr age categories as groups which are more prone to obesity levels.

The goal of this study was to define the population parameters of the body fat percentage of residents of the Republic of Serbia. The sample was a total of 8145 respondents, of which 3051 (37.5%) were women with an average age of 32.0 ± 9.8 years, and the rest of 5094 (62.5%) were men with an average age of 32.9 ± 11.3 years. The average value of PBF for the women subsample was 28.46 ± 9.19% and 18.00 ± 7.98% for the men subsample. The results of factorial variance analysis have shown that there is a statistically significant difference (p<0.001) of PBF values regarding sex (F=1243.719) and respondent's age (F=508.469) as well as the interaction of factors "age" and "sex" (F=22.593). The regression analysis has shown that age explains 82.09% of variance regarding the age function for women and 85.08% of variance regarding the age function for men, taking into consideration that the function that best describes the variance PBF for women is linear and polynomial for men. Both sex and age are determined as factors that influence over-increasing the values of PBF, while the most critical groups where PBF crosses critical values are the groups of women over 50 years of age (the average prevalence of overweight and obese is 37.81% and 23.89% respectively) and men over 60 years of age (the average prevalence of overweight and obese is 25.48% and 38.36% respectively).

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