Performance Indicators of Winning and Defeated Female Handball Teams in Matches of the 2012 Olympic Games Tournament.

The aim of the study was to determine performance indicators of winning and defeated women teams of the 2012 Olympic Games handball tournament. The sample of entities consisted of 27 games played during the preliminary round of the competition. The sample of variables consisted of the completed and unsuccessfully executed technical and tactical handball elements in attacking and defensive actions during handball matches (14 variables describing performance in attack and three variables related to defensive play). The differences between the winning and defeated teams in performance variables were determined using the Mann-Whitney U-test. The results showed statistically significant differences between the winning and defeated teams in the following variables: successful fast-break shots (5.11 ± 2.79 vs. 3.00 ± 1.88), unsuccessful wing shots (2.33 ± 1.24 vs. 3.67 ± 1.98), unsuccessful long-range shots (10.70 ± 3.98 vs. 13.37 ± 4.33), steals (5.48 ± 2.28 vs. 4.04 ± 2.07), and assists (13.81 ± 4.04 vs. 11.37 ± 3.59). The winning teams were better in the variables defining offensive performance effectiveness, especially with regard to successful performance of counter attacks; they also had higher efficiency of attacking actions with a strict selection of distance shots and wing shots, as well as a higher number of assists and steals.

Effects of a training program for special operations battalion on soldiers' fitness characteristics.

The aim of this study was to investigate the effects of special operations battalion (SOB) training program on soldiers' fitness parameters. The research was conducted on a sample of 25 members (mean ± SD: age 27.93 ± 5.12 years, height 178.64 ± 6.91 cm, body mass 81.42 ± 9.18 kg) of the Croatian Armed Forces for SOB, divided into control and experimental groups. Total duration of the SOB basic training was 62 days. The sample of variables consists of 12 tests for the assessment of fitness characteristics, 2 tests for functional capacity, and 18 morphological measures. Morphological parameters were measured according to the instructions of the International Biological Program. Fitness characteristics were measured with the following tests: 1-kg medicine ball throw from a seated position, standing broad jump (SBJ), relative sergeant test, 20-m sprint, the maximum thrust from the bench, push-ups in 2 minutes (PU(2minutes)), sit-ups in 2 minutes (SU(2minutes)), pull-ups (PU), thrust from the bench with 70% of body weight (BP(70%)), crawling and jumping, agility test 93639 with turn (A9-3-6-3-9), and sit and reach. Functional abilities were evaluated with 2 tests: 3,200 m running (SK3200) and 300 yards running (MBI3Y). There was a statistically significant difference in a set of fitness characteristics variables analyzed between the 2 groups in initial and final measurements in the multivariate level. Analyzing the results of t-test, differences of variables, it was evident that the difference after the SOB program occurred in 7 variables in the experimental group: SBJ, PU2minutes, SU2minutes, PU, BP70%, MBI3Y, and SK3200. Basic training for SOB during 8 weeks has produced significant burnout of the body for the participants who have completed their training. This led to a reduction in fitness performance manifested through the tested variables.

Impact of body composition on performance in fitness tests among personnel of the Croatian navy.

The purpose of this study was to determine the impact of body weight on fitness tests among the personnel of the Croatian navy. Forty two naval personnel (age 27 +/- 4.1 years; body mass 86.2 +/- 4.9 kg; height 184.6 +/- 7.4 cm; body fat percentage 17.3 +/- 5.2) participated in this study. In order to evaluate the fitness of the naval servicemen, we applied a testing procedure that included measurements of 7 fitness tests and 15 body anthropometric tests. A negative correlation was found between the body fat percentage and all the analyzed sprint tests and three anaerobic power tests (r), SP5 (r = -0.42), SP10 (r = -0.51), SP20 (r = -0.53), SJ (r = -0.45), CM (r = -0.57), SLJ (r = -0.67). Also a negative correlation was found between the body fat percentage and VO2(max) (r = -0.44). A positive correlation was found between the sprint test and the power performance test and thigh and calf girth. Spiriting ability is influenced by the strength of a person. This is one of the reasons why we found a positive correlation between the sprint test (SP5, SP10 and SP20) and thigh and calf girth. In this study we found a negative correlation between body fat percentages and all the sprint tests and three anaerobic power tests and VO2(max). The ectomorph somatotypes have positive correlations with all variables. The mesomorph somatotypes have the greatest positive correlations with all variables. The endomorph somatotypes have negative correlations with all variables. According to the body composition of Croatian naval servicemen we can conclude that they need a sufficient level of strength and endurance for everyday tasks. The effectiveness of a weight-management program is determined by the success of the participants in losing the necessary amount of weight and being able to maintain that weight loss. This requires long-term tracking of these individuals in a naval environment.

Are there any differences in power performance and morphological characteristics of Croatian adolescent soccer players according to the team position?

The aim of the study was to analyze differences in power performance and morphological characteristics of young Croatian soccer players with respect to their team positions and to establish correlations between the power performance variables. Anthropometric characteristics and jumping and sprint performances were analyzed for 45 soccer players (age 14-15; mean body height 175.4 +/- 6.61 cm; body weight 63.6 +/- 8.06 kg) according to their team positions (defender, midfielder, forward). Pearsons coefficient of correlation was used to determine the relationship between the power performance variables. There were no significant differences (p > 0.05) in the power performance of players according to their team position. The only significant differences between players were in some of the anthropometric characteristics, such as height and weight linear relationship was determined between almost all the power performance variables. Since the players in this study were very young and their sports careers have not reached their peak performance, it is possible that their nominal team positions may change during their soccer careers.

Fitness profiling in handball: physical and physiological characteristics of elite players.

The purpose of this study was to describe the structural and functional characteristics of elite Croatian handball players and to evaluate whether the players in different positional roles have different physical and physiological profiles. According to the positional roles, players were categorized as goalkeepers (n = 13), wing players (n = 26), backcourt players (n = 28) and pivot players (n = 25). The goalkeepers were older (p < 0.01), and the pivot players were more experienced (p < 0.01) than the backcourt players. The wings were the shortest players in the team. The pivots were tallest and heavier than the backcourt and wing players (p < 0.01), whereas the backcourt players were tallest then wings (p < 0.01). Goalkeepers had more body fat than the backcourt and wing players (p < 0.01). The backcourt players had a lower percentage of body fat. The backcourt players were the quickest players in the team when looking at values of maximal running speed on a treadmill. The Goalkeepers were the slowest players in the team (p < 0.01). The best average results concerning maximal heart rate were detected among the backcourt players. There were no statistically significant differences between the players'positions when measuring blood lactate and maximal heart rate. A strong negative correlation was found between body fat and maximal running speed (r = -0.68, p < 0.01). Coaches are able to use this information to determine which type of profile is needed for a specific position. Experienced coaches can used this information in the process of designing a training program to maximize the fitness development of handball players, with one purpose only, to achieve success in handball.