Physical literacy (PL) is considered an important determinant of physical activity level (PAL), but studies have rarely examined the associations between PL and PAL in preadolescents. This study aimed to evaluate associatios between PL, PAL and sedentary behavior (SB) in preadolescents from southeastern Europe. The participants were 9- to 11-year-old children from Croatia and Bosnia and Herzegovina (n=333, 52% girls) who were tested for PL, PAL and SB. The PLAYself questionnaire was used for the evaluation of PL, while PAL was estimated by data provided throughout the Physical Activity Questionnaire for Children (PAQ-C). Pearson’s correlations and multiple regressions were calculated to identify the associations between study variables. The results revealed a significant correlation between PL and PAL in the total sample (16% of the common variance) among boys (10% of the common variance) and girls (25% of the common variance), which was additionally confirmed by multiple regression calculated between the PL subdomains and PAL (R2=0.23, 0.15, and 0.31 for total sample, boys and girls, respectively). The SB was not significantly correlated with PL (<2% of the common variance; p>0.05) or with PAL (<1% of the common variance; p>0.05). The results indicated a stronger association between PL and PAL in girls than in boys, indicating the possible influence of the types of physically demanding activities children are involved in on the studied associations. To explore causality more specifically, intervention studies are warranted.

The awareness of the importance of physical literacy (PL) is globally increasing; however, knowledge of the applicability of PL measurement tools in southeastern Europe is limited. The aim of this study was to evaluate the reliability and validity of translated versions of the CAPL-2 and PLAYself questionnaires in 9- to 11-year-old elementary school children from Croatia, Bosnia and Herzegovina, and Montenegro. The participants were 303 children (141 girls; all 9 to 11 years of age) from Croatia (n = 71), Bosnia and Herzegovina (n = 162), and Montenegro (n = 70), enrolled in regular elementary school. The participants were tested throughout a test–retest procedure using two PL evaluation tools, i.e., the Canadian Assessment of Physical Literacy (shorter version, CAPL-2) and the Physical Literacy Assessment of Youth (PLAYself) questionnaires. With an intraclass correlation (ICC) of 0.70–0.80 for specific questionnaire subscales and 0.84 for the total score, PLAYself was found to be reliable. With Kappa values of 0.11–0.23 and a percentage of absolute agreement of less than 62%, CAPL-2 appeared to be less reliable. Factors related to sport participation were significantly positively associated with the PLAYself score, indicating its proper validity. In conclusion, we suggest the usage of the PLAYself questionnaire in further studies examining PL in children of a similar age in the region. Future studies in other age groups and languages are also warranted.

Flexibility is an important determinant of dynamic balance, but studies rarely examined the chronic effects of flexibility training on changes in balance capacity. This study aimed to determine the influence of different forms of flexibility exercises on dynamic balance in female professional football players. Participants were 30 female professional football players (age =19.0±4.1 years), divided into three groups dynamic stretching group (DSG; N=10, age =18.9±3.3 years), static stretching group (SSG; N=10, age =19.5±4.3 years) and control group (N=10, age =18.5±3.3 years). All groups participated in equal football training, while DSG and SSG performed additional flexibility training 3-times a week (10-15 min of duration) throughout the study course (16 weeks). Dynamic balance was measured by the Y-balance test (YBT), and ANOVA for repeated measurement was applied to identify the effects. Results evidenced the significant influence of both flexibility programs on dynamic balance. Both DSG and SSG were equally effective in the first part of the study (until the 8th week), but between the 8th and 16th study week, only DSG improved their balance capacity significantly. Static stretching should be applied in the first phases of flexibility training aiming at the improvement of dynamic balance, but in later phases, usage of dynamic stretching is suggested.

Cigarette smoking (CS) and low physical activity levels (PAL) are known to be risk factors for cardiovascular diseases. However, few studies have examined the associations between these factors in population of university students, and, to the best of our knowledge, no study examined this issue in period after the COVID-19 pandemic, despite the detrimental social and health consequences of the pandemic. The aim of this cross-sectional study was to examine associations between sport-participation, PAL and CS among university-level students in the first year after the COVID-19 pandemic. Participants were 761 students (411 females) from three universities in Bosnia and Herzegovina and Croatia, who were tested using semi-structured anonymous questionnaires at the beginning of the 2022/2023 academic year. Questions included queries on sociodemographic characteristics, CS, PAL, and sport-participation. Differences between genders were established by Chi-square test and gender-stratified logistic regressions were calculated to evaluate the associations between sport-participation and PAL, with binomized CS (smoking vs. non-smoking). One third of participants were daily smokers. Logistic regression showed no correlation between PAL and smoking prevalence for total sample (OR = 0.88, 95%CI: 0.75-1.05), males (OR = 0.95, 95%CI: 0.41-1.45), or females (OR = 0.90, 95%CI: 0.54-1.52). In addition, sport participation was not significantly associated with smoking. Results did not prove that sport and physical exercising are a way of reducing the likelihood of smoking; this finding could be a characteristic of the studied sample of participants, but could also be related to the period that was observed (the first year after the COVID-19 pandemic). Further studies examining the associations between PAL/sport participation and other types of substance misuse are warranted.

Abstract Study aim: This study aimed to evaluate predictors of futsal-specific change-of-direction speed and futsal-specific reactive agility in professional male futsal players. Material and methods: The players (n=75) studied were members of seven futsal teams that competed at the highest national level in Croatia and in Bosnia and Herzegovina. The predictors in this study included measures of generic power, speed, agility, and anthropometrics. The univariate and multivariate relationships among the predictors and the criteria (futsal-specific change-of-direction speed and futsal-specific reactive agility) were assessed by using Pearson’s correlations and multiple regression analysis, respectively. Results: The predictors were poorly related to the different facets of agility (all trivial to moderate correlations). Multiple regression models were not successfully cross-validated for any of the types of agility performance. Conclusion: Generic power, speed, agility, and anthropometrics are not valid predictors of futsal-specific change-of-direction speed and futsal-specific reactive agility. As these futsal performances were used to mimic real-game situations in futsal, these findings suggest that superiority in generic motor abilities and anthropometrics may not have a significant effect on performance in futsal matches.

Although functional asymmetry is very common and normal in professional athletes, the better interlimb symmetry between dominant and nondominant sides (bilateral symmetry) could contribute to successful performance in basketball. The aim of this study was to evaluate the importance of bilateral symmetry of the one-leg jumping and agility performances in differentiating basketball players according to their (i) playing position (guards, forwards, and centers) and (ii) performance levels (first division vs. second division). The participants were 102 professional male basketball players, with all members of the teams competing in the two highest national divisions at the moment of testing (height: 194.92 ± 8.09 cm; body mass: 89.33 ± 10.91 kg; 21.58 ± 3.92 years of age). Performance levels (first division, N = 58 vs. second division, N = 44) and playing positions (guards, N = 48; forwards, N = 22; centers, N = 32) were observed as dependent variables. We measured one-leg jumping capacities (running vertical jump and lay-up vertical jump), basketball-specific preplanned agility (CODS), and basketball-specific reactive agility (RAG), all executed on dominant and nondominant sides. Accordingly, the bilateral symmetry of jumping and agility was calculated by calculating the ratio of the corresponding performances on the dominant and nondominant sides. Factorial analysis of variance (performance levels × positions) indicated that the bilateral symmetry of one-leg jumping differentiated players according to their playing position, with better bilateral symmetry among guards (F-test = 6.11 (medium effect size) and 5.81 (small effect size), p < 0.05 for lay-up and running-jump symmetry, respectively). Performance levels significantly differed in the bilateral symmetry of lay-up jump, with better symmetry for first-division players (F-test = 10.11 (medium effect size), p < 0.001), which was mostly influenced by significant differences among guards. Playing positions and performance levels did not differ in bilateral symmetry of the CODS and RAG. The study reveals the importance of bilateral symmetry of the sport-specific performance in differentiating playing positions and performance levels in basketball. Further studies in other multidirectional sports and other sport-specific performances are warranted.

There is an evident lack of studies examining the pursuit of excellence in futsal. The aims of this study were to evaluate anthropometric and physiological variables that may contribute to distinguishing among performance levels in professional futsal players and to evaluate correlates of those variables. The participants were 75 male professionals (age = 25.1 ± 5.1 years, body height = 182.3 ± 6.2 cm, body mass = 80.8 ± 10.4 kg), who were divided into performance levels using two criteria: (i) starters (first teams) vs. non-starters (substitutes) and (ii) top-level players (members of the national team and players who participated in top-level team competition in Europe) vs. high-level players (team players competing at the highest national competitive rank). Variables included anthropometrics (body height and mass, BMI, body fat percentage), generic tests of physiological capacities [5- and 10-m sprints, countermovement jump, broad jump, 20-yard test, reactive strength index (RSI)], and futsal-specific fitness tests [kicking speed by dominant and non-dominant leg, futsal-specific tests of change of direction speed, and reactive agility (FSRAG) involving/not involving dribbling the ball]. Top-level players outperformed high-level players in RSI, broad jump, kicking speed, and FSRAG involving dribbling. Starters achieved better results than non-starters in fewer variables, including kicking speed and RSI. Body fat percentage negatively influenced FSRAG involving dribbling, and RSI. FSRAG, RSI, and kicking speed were significantly correlated, indicating the similar physiological background of these capacities. The findings suggest that enhanced reactive strength and the ability to rapidly change direction speed in response to external stimulus while executing futsal-specific motor tasks (e.g., dribbling), along with players’ ability to kick the ball speedily, can be considered essential qualities required for advanced performance in futsal. Consequently, futsal strength and conditioning training should be targeted toward lowering relative body fat, maximizing lower-body reactive strength and including futsal-specific skills (e.g., dribbling, shooting) in reactive agility drills.

The aim of this study was to determine the effects of programmed kinesiological treatment on transformation of postural spinal status in the sagittal plane kyphosis and fl at feet pes planus, in IV to VI grade pupils (second triad of nine-year elementary school). The study was conducted on a 290 pupil sample. Eight (8) variables were applied in the study to evaluate postural spine status kyphosis and fl at feet pes planus. The research had a longitudinal character. The use of contingent tables shows the frequencies and the corresponding percentages increase the deformity of the spine kyphosis and fl at feet pes planus. The results of the study indicate the statistical signifi cance of the percentage of deformity of the kyphosis and fl at feet pes planus. Changes in the arch of the feet and spine are mainly in the fi rst stage of deformation, which also enabled the correction of the condition with the application of programmed kinesiological treatment. Therefore, in the global assessment of the quality and justifi cation of the use of programmed kinesiological treatment for one school year, we must state that it contributed to the improvement of the deformity of the kyphosis and the fl at feet of the research sample of pupils.

BACKGROUND Although agility is an important quality in basketball, factors associated with basketball specific pre-planned-agility (change-of-direction-speed, CODS) and non-planned-agility (reactive agility, RA) are rarely investigated. The aim of this study was to evaluate relationship between anthropometric and motor indices with basketball-specific CODS and RA in male basketball players of high performance level. METHODS We tested 88 high-level male basketball players (height: 194.62±8.09 cm; body mass: 89.13±10.81 kg; age: 21.12±3.47 years). The sample was randomly divided into validation (N.=44) and cross-validation (N.=44) subsamples. The study variables included: broad-jump, countermovement-jump, reactive-strength-index, visual-reaction-time, body height, body mass, and body fat percentage (predictors); as well as basketball-specific CODS and RA (criteria). Univariate associations were assessed by Pearson's correlation coefficients. Multivariate relationships between the predictors and the criteria were assessed with multiple regression analysis for the validation subsample, which was then cross-validated. RESULTS The established multiple regression models were successfully cross-validated for CODS (R2=0.40 and 0.36; P=0.01) and RA (R2=0.38 and 0.41; P=0.01, for validation and cross-validation subsample, respectively). The broad-jump (i.e., horizontal displacement) is important predictor of CODS (Beta=-0.41; P=0.01); anthropometrics and body build are specifically associated with RA (Beta=0.51, -0.61 and 0.41 for body height, body mass and body fat percentage, respectively; all P<0.05), while reactive-strength-index is directly related both to CODS (Beta=-0.41, P=0.02), and RA (Beta=-0.40, P=0.03). CONCLUSIONS While basketball players are differentially oriented toward specific game duties, specific capacities should be developed in order to meet specific sport requirements.

Abstract Sekulic, D, Pehar, M, Krolo, A, Spasic, M, Uljevic, O, Calleja-González, J, and Sattler, T. Evaluation of basketball-specific agility: applicability of preplanned and nonplanned agility performances for differentiating playing positions and playing levels. J Strength Cond Res 31(8): 2278–2288, 2017—The importance of agility in basketball is well known, but there is an evident lack of studies examining basketball-specific agility performances in high-level players. The aim of this study was to determine the reliability and discriminative validity of 1 standard agility test (test of preplanned agility [change-of-direction speed] over T course, T-TEST), and 4 newly developed basketball-specific agility tests, in defining playing positions and performance levels in basketball. The study comprised 110 high-level male basketball players (height: 194.92 ± 8.09 cm; body mass: 89.33 ± 10.91 kg; age: 21.58 ± 3.92 years). The variables included playing position (Guard, Forward, Center), performance level (first division vs. second division), anthropometrics (body height, body mass, and percentage of body fat), T-TEST, nonplanned basketball agility test performed on dominant (BBAGILdom) and nondominant sides (BBAGILnond), and a preplanned (change-of-direction speed) basketball agility test performed on dominant (BBCODSdom) and nondominant sides (BBCODSnond). The reliability of agility tests was high (intraclass correlation coefficient of 0.81–0.95). Forwards were most successful in the T-TEST (F test: 13.57; p = 0.01). Guards outperformed Centers in BBCODSdom, BBCODSndom, BBAGILdom, and BBAGILnond (F test: 5.06, p = 0.01; 6.57, 0.01; 6.26, 0.01; 3.37, 0.04, respectively). First division Guards achieved better results than second division Guards in BBCODSdom (t: 2.55; p = 0.02; moderate effect size differences), BBAGILdom, and BBAGILnond (t: 3.04 and 3.06, respectively; both p = 0.01 and moderate effect size differences). First division Centers outperformed second division Centers in BBAGILdom (t: 2.50; p = 0.02; moderate effect size differences). The developed basketball-specific agility tests are applicable when defining position-specific agility. Both preplanned and nonplanned agilities are important qualities in differentiating between Guards of 2 performance levels. The results confirmed the importance of testing basketball-specific nonplanned agility when evaluating the performance level of Centers.

The importance of jumping ability in basketball is well known, but there is an evident lack of studies that have examined different jumping testing protocols in basketball players at advanced levels. The aim of this study was to assess the applicability of different tests of jumping capacity in identifying differences between (i) playing position and (ii) competitive levels of professional players. Participants were 110 male professional basketball players (height: 194.92±8.09 cm; body mass: 89.33±10.91 kg; 21.58±3.92 years of age; Guards, 49; Forwards, 22; Centres, 39) who competed in the first (n = 58) and second division (n = 52). The variables included anthropometrics and jumping test performance. Jumping performances were evaluated by the standing broad jump (SBJ), countermovement jump (CMJ), reactive strength index (RSI), repeated reactive strength ability (RRSA) and four running vertical jumps: maximal jump with (i) take-off from the dominant leg and (ii) non-dominant leg, lay-up shot jump with take-off from the (iii) dominant leg and (iv) non-dominant leg. First-division players were taller (ES: 0.76, 95%CI: 0.35-1.16, moderate differences), heavier (0.69, 0.29-1.10), had higher maximal reach height (0.67, 0.26-1.07, moderate differences), and had lower body fat % (-0.87, -1.27-0.45, moderate differences) than second-division players. The playing positions differed significantly in three of four running jump achievements, RSI and RRSA, with Centres being least successful. The first-division players were superior to second-division players in SBJ (0.63, 0.23-1.03; 0.87, 0.26-1.43; 0.76, 0.11-1.63, all moderate differences, for total sample, Guards, and Forwards, respectively). Running vertical jumps and repeated jumping capacity can be used as valid measures of position-specific jumping ability in basketball. The differences between playing levels in vertical jumping achievement can be observed by assessing vertical jump scores together with differences in anthropometric indices between levels.

Purpose: Non-planned agility (reactive agility - RAG), and pre-planned agility (change of direction speed- CODS) are important determinants of success in basketball. However, the association betwee ...

BACKGROUND In basketball, anthropometric status is an important factor when identifying and selecting talents, while agility is one of the most vital motor performances. The aim of this investigation was to evaluate the influence of anthropometric variables and power capacities on different preplanned agility performances. METHODS The participants were 92 high-level, junior-age basketball players (16-17 years of age; 187.6±8.72 cm in body height, 78.40±12.26 kg in body mass), randomly divided into a validation and cross-validation subsample. The predictors set consisted of 16 anthropometric variables, three tests of power-capacities (Sargent-jump, broad-jump and medicine-ball-throw) as predictors. The criteria were three tests of agility: a T-Shape-Test; a Zig-Zag-Test, and a test of running with a 180-degree turn (T180). Forward stepwise multiple regressions were calculated for validation subsamples and then cross-validated. Cross validation included correlations between observed and predicted scores, dependent samples t-test between predicted and observed scores; and Bland Altman graphics. RESULTS Analysis of the variance identified centres being advanced in most of the anthropometric indices, and medicine-ball-throw (all at P<0.05); with no significant between-position-differences for other studied motor performances. Multiple regression models originally calculated for the validation subsample were then cross-validated, and confirmed for Zig-zag-Test (R of 0.71 and 0.72 for the validation and cross-validation subsample, respectively). Anthropometrics were not strongly related to agility performance, but leg length is found to be negatively associated with performance in basketball-specific agility. Power capacities are confirmed to be an important factor in agility. CONCLUSIONS The results highlighted the importance of sport-specific tests when studying pre-planned agility performance in basketball. The improvement in power capacities will probably result in an improvement in agility in basketball athletes, while anthropometric indices should be used in order to identify those athletes who can achieve superior agility performance.

The aims of this investigation were to compile evidence on substance-use-and-misuse (SUM) and to identify factors related to potential-doping-behaviour (PDB) in rugby union. The subjects were 105 rugby athletes (all males; 23.4 ± 4.1 years; 99% respondents). The variables included socio-demographic factors, SUM-data, sport-factors, knowledge-on-doping (KD), and PDB. Data showed high alcohol consumption, with more than 30% of the athletes binge drinking at least once per week. Approximately 52% of the subjects used dietary-supplementation (DS) and 23% reported PDB, whereas 55% believed that doping is present in rugby. Forward conditional logistic regression revealed that less rugby experience (OR:1.286; 95%CI:1.058–1.563; p < 0.05), less smoking (OR:2.034; 95%CI:1.100–3.760; p < 0.05), higher DS usage (OR:5.543; 95%CI:1.666–18.444; p < 0.01), and a stronger belief that doping is present in rugby (OR:0.305; 95%CI:0.066–0.638; p < 0.01) were significant predictors of PDB. The high PDB and alcohol consumption warrant a serious intervention on these problems in rugby.