Police work is a stressful occupation, where officers are exposed to chronic and intense stressors. When it comes to understanding and predicting reaction to prolonged stress, it has been shown that there is more to personality than what can be captured by the most widespread personality models. Adding Mental Toughness as the capacity to tolerate and overcome stress at work, as well as the Dark Triad as a tendency for malevolent behaviour, to the traditional model of assessing the personality of a police officer can improve the prediction of important outcomes. The aim of this paper was to examine the psychometric properties of the Serbian translations for the Mental Toughness Inventory (MTI) and the Dark Triad Dirty Dozen (DTDD) in a population of police students. The research was conducted on a sample of 92 students in their first and second years at the University of Criminal Investigation and Police Studies. Considering the specificity of the sample, both instruments showed good reliability (Cronbach's Alpha Based on Standardized Item a = 0.81 for MTI and a = 0.84 for DDTD); factor structure was confirmed for the MTI (ch² = 51.5, p < 0.001, CFI = 0.864) and DTDD (ch² = 105, p < 0.001, CFI = 0.886) as well as convergent (r=-.384, p < 0.01 between Mental toughness, and Machiavellianism). Although deviations from the normal distribution were obtained, having in mind the rigor of psychological and physical selection into the Police University, the obtained psychometric properties of the MTI and DTDD were acceptable and we recommend the instruments for further usage.

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).

The aim of this research was to determine whether there are differences in the shooting distribution and efficiency between the ABA basketball league and the Euroleague within the 2018/2019 regular part of the season. The research sample was represented by the teams participating in the ABA League (12 teams) and the Euroleague (16 teams) in the 2018/2019 season. The regular part of the season was organized in a two-round league system for both leagues, where 264 games were played within the ABA league, and 480 games in the Euroleague. Based on the results obtained using the T-test for independent samples, it was noticed that there are statistically significant differences in 3 point shots from the central position (p<0.000), 2 point shots from the central position (p<0.000), and within the key (p=0.002), and when it comes to the shooting efficiency, significant differences appear in the 3 point position on the left side (p=0.010) and the right corner (p=0.041), as well as for 2 points inside the key (p=0.001). Analyzing the percentage of shooting efficiency, it is clear that Euroleague teams have a higher quality compared to teams from the ABA league, which is in line with previous research where it is indicated that 2-point shots are one of the most important factors for a team's success in competition. Euroleague teams take most of the shots from the key in relation to other positions, as well as ABA teams, while the level of efficiency is reversed. Considering that in both leagues, the largest number of shots was taken from the key, it can be concluded that the number of shot attempts is a more important factor than efficiency when it comes to success in competition.

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Basketball games have been analyzed in great detail, providing valuable information for coaches and team scouts to tactically prepare the team for the upcoming games. "Synergy Sports Technology" company provides one of the greatest databases for basketball coaches. Regarding the basketball game, there are 10 standardized play-types in offense and 2 standardized play-types in defense. Using Synergy, every basketball game is logged separately, storing data in a general database from which scouts and coaches or researchers select specific information or video for further data analysis. In basketball, there is a large number of data collected and processed all the time, regarding the great number of games played. Applicability of these data presents a great tool for detailed analysis and creating scout reports. Using this program for further research could be very helpful and can contribute to a better, more accurate, and detailed analysis.