Anthropometric and Physical Performance Profiles of Elite Karate Kumite and Kata Competitors: Karate tournaments consist of two equally important karate disciplines: the kumite and kata competitions. Due to being based both on the distinctive selection of movement techniques and their kinematic and kinetic patterns, we hypothesized that the elite kumite and kata competitors could differ regarding their anthropometric and physical performance profiles. Thirty-one senior male karate competitors of the national karate team (kumite n = 19; kata n = 12) participated in this study. The tests applied included both the assessment of anthropometric (body height, mass and body mass index) and the following physical performance measurements: the adductor and hamstring flexibility (sideward leg splits test), speed and acceleration (20-m sprint test with 10-m acceleration time), explosive power (countermovement and standing triple jump), agility ("T"- test) and aerobic endurance (20-m multistage shuttle run test). The kumite competitors revealed a larger body size through body height (p = 0.01) and mass (p = 0.03), while the differences in body composition were non-significant. The kumite competitors also demonstrated higher acceleration (p = 0.03) and explosive power (standing triple jump; p = 0.03). A 6-7° higher flexibility of the kata competitors remained somewhat below the level of significance (p = 0.09). The findings could be interpreted by the distinctive differences in the movement techniques. Specifically, a higher explosive power could be beneficial for kumite, while both a smaller stature and higher flexibility (particularly of the lower extremity) could be important for the exceptionally low postures of the kata competitors. Although further elucidation is apparently needed, the obtained finding could be of importance for both the early selection and training of karate competitors.

Female police officers may be required to pursue offenders on foot while wearing occupational loads. The aim of this study was to determine relationships between fitness measures and change of direction speed (CODS) in female police officers and the influence of their occupational loads. Retrospective data were provided for 27 female police officers (age = 32.19 ± 5.09 y, height = 162.78 ± 5.01 cm, and mass = 71.31 ± 13.42 kg) and included fitness measures of: lower-body power (standing long jump (SLJ)), upper-body and trunk muscle endurance (push-up (PU) and sit-up (SU)), aerobic power (estimated VO_2max), and CODS (Illinois agility test). The CODS test was performed without and with occupational load (10 kg). Paired sample t-tests (between-load conditions) and Pearson’s correlations (relationships between measures) were performed with linear regression analysis used to account for the contribution of measures to unloaded and loaded CODS performance. CODS was significantly slower when loaded (unloaded = ~23.17 s, loaded = ~24.14 s, p < 0.001) with a strong, significant relationship between load conditions (r = 0.956, p < 0.001). Moderate to strong, significant relationships were found between all fitness measures ranging from estimated VO_2max (r = −0.448) to SU (r = −0.673) in the unloaded condition, with the strength of these relationships increasing in the loaded condition accounting for 61% to 67% of the variance, respectively. While unloaded agility test performance was strongly associated with loaded performance, female police officer CODS was significantly reduced when carrying occupational loads. A variety of fitness measures that influence officer CODS performances become increasingly important when occupational loads are carried.

This study investigated differences in the body composition of police officers from different occupational groups and the moderation effects of leisure time physical activity (LTPA). A sample of 237 police officers (special anti-terrorist unit, gendarmerie, firefighters, and general duties) participated in the study. Body mass index (BMI), percent of body fat (%BF), percent of skeletal muscle mass (%SMM), and index of hypokinesia (IH) were assessed using a multichannel bioelectric impedance analyzer and officers reported the amount of LTPA using an international physical activity questionnaire. The sample was divided in three groups relative to LTPA, sedentary (0–149 min/week), moderately active (150–299 min/week), and very active (300+ min/week). Multiple analysis of variance (4 × 3) was used to analyze if occupational groups differed based solely on occupation, if officers from the same occupation differed in muscularity and fatness based on LTPA, and if any differences in body composition occurred between officers from different occupations with the same level of LTPA. Police officers from more physically demanding occupations demonstrated lower %BF and IH, while having higher %SMM. This was also observed among the officers of the same occupation who reported a higher LTPA, while officers who reported very high LTPA had similar body composition.

This study investigated the hierarchical structure of physical characteristics in elite young (i.e., U17-U19) basketball players according to playing positions. In addition, their predictive value of physical characteristics was determined for the evaluation of players’ physical preparedness. Sixty elite male basketball players performed 13 standardized specific field tests in order to assess the explosive power of lower limbs, speed, and change-of-direction speed. They were divided into three groups according to playing positions (guard [n = 28], forward [n = 22], center [n = 10]). The basic characteristics of the tested sample were: age = 17.36 ± 1.04 years, body height = 192.80 ± 4.49 cm, body mass = 79.83 ± 6.94 kg, and basketball experience = 9.38 ± 2.10 years for guards; age = 18.00 ± 1.00 years, body height = 201.48 ± 3.14 cm, body mass = 90.93 ± 9.85 kg, and basketball experience = 9.93 ± 2.28 years for forwards; and age = 17.60 ± 1.43 years; body height = 207.20 ± 3.29 cm, body mass = 104.00 ± 9.64 kg, and basketball experience = 9.20 ± 1.62 years for centers. For all playing positions factor analysis extracted three factors, which cumulatively explained 76.87, 88.12 and 87.63% of variance, respectively. The assessed performance measures were defined as significant (p < 0.001), with regression models of physical performance index (PP_INDEX). PP_INDEX of guards = −6.860 + (0.932 × t-test) − (1.656 × Acceleration 15 m) − (0.020 × Countermovement jump); PP_INDEX of forwards = −3.436 − (0.046 × Countermovement jump with arm swing) − (1.295 × Acceleration 15 m) + (0.582 × Control of dribbling); PP_INDEX of centers = −4.126 + (0.604 × Control of dribbling) − (1.315 × Acceleration 15 m) − (0.037 × Sargent jump). A model for the evaluation of physical performance of young basketball players has been defined. In addition, this model could be used as a reference model for selection procedures, as well as to monitor the efficacy of applied training programmes within the short, medium and long-term periodization.

In order to achieve high results in sports, it is necessary to provide an adequate status of an athlete in according to various factors, among which the body structure is one of greater importance. The aim of this research is to define the most discriminated indicators of body structure indexes, thanks to which a specific change of physical structure can be observed according to a branch of sport and type of combat sport. Variables in the research were: body height, body mass, body mass index, free fat mass index, fat mass index, protein mass index, skeletal muscle mass index, percent of body fat, percent of skeletal muscle mass and protein fat index. The measuring of the body composition is realized by using multichannel segmental bioimpedance with InBody 720 apparatus, applied on the total of 112 male high level senior-age athlete members of different national team's member of Republic of Serbia (62 judokas, 29 Greco-Roman style wrestlers and 21 karatekas). The discriminative analysis has shown that subsamples of the athletes statistically differ in morphology on Wilks' lambda level (0.435, p = 0.000), and that following variables have the highest discrimination compared to athlete respondents in sport function: percent of skeletal mass (0.34), percent of body fat (0.28) and protein fat index (0.26), as the first isolated factor (p = 0.000) by which is explained 86.3 %, that is body weight (0.74), skeletal muscle index (0.73), protein mass index (0.72), body mass index (0.72) and free fat mass index (0.70), as the second factor (p = 0.030) by which 13.7 % variability of measured body structure space is explained. By establishing body structure models of judokas, wrestlers and karatekas for variables examined and by using modern technological method of measuring (InBody 720, 2008) we got new information that characterize specificity of the sport, which all contribute to spreading and improving already existing knowledge in the sports sciences and sport body morphology area.

Purpose: – The purpose of this paper is to determine the influence of different Specialized Physical Education (SPE) teaching programs on the level of students’ physical abilities.Design/methodology/approach: – In the Academy of Criminalistic and Police Studies (ACPS), one of the teaching program goals is an improvement of student's physical abilities level. Since the establishment of ACPS, three SPE programs have been implemented differing in number of class hours. Five different tests were used: “Isometric dead lift,” “Hand grip,” the Long jump (LJ), the Sit-up test and the Cooper test.Findings: – Multivariate analysis of variance results indicated a statistically significant difference between the programs in tests LJ, Sit-up and Cooper. The Bonferroni test showed differences between all three programs. The discriminant analysis showed that both discriminant factors are statistically significant. The greatest factor in the first function was the test LJ, while the greatest factor in the second discriminant function was the Sit-up test.Practical implications: – The importance of research was the fact that by determining the changes of students’ physical abilities level, the authors can evaluate the effectiveness of various SPE programs. Results could be used in planning standards, selection and control of the achieved physical abilities level.Social implications: – Changes could contribute to the positive effects of the educational process on improvement of students’ physical abilities.Originality/value: – This is one of the few studies which examine the influence of quantitatively different teaching programs on the level of physical abilities within a period of 15 years.