Search

The goal of this study was to investigate differences in physical fitness and sports participation over 2 years in children with relatively high, average, and low motor competence. Physical fitness and gross motor coordination of 501 children between 6-10 years were measured at baseline and baseline+2 years. The sample compromised 2 age cohorts: 6.00-7.99 and 8.00-9.99 years. An age and sex-specific motor quotient at baseline testing was used to subdivide these children into low (MQ < P33), average (P33 ≤ MQ < P66) and high (MQ ≥ P66) motor competence groups. Measures of sports participation were obtained through a physical activity questionnaire in 278 of the same children. Repeated Measures MANCOVA and two separate ANOVAs were used to analyze differences in changes in physical fitness and measures of sports participation respectively. Children with high motor competence scored better on physical fitness tests and participated in sports more often. Since physical fitness levels between groups changed similarly over time, low motor competent children might be at risk for being less physically fit throughout their life. Furthermore, since low motor competent children participate less in sports, they have fewer opportunities of developing motor abilities and physical fitness and this may further prevent them from catching up with their peers with an average or high motor competence. [ABSTRACT FROM AUTHOR]

Objectives: To investigate the association between motor competence (MC) and central obesity in preschool children. Methods: The sample comprised of 472 children aged 3 to 5 years (4.58 ± 0.70 years, 248 boys) from Recife, Brazil. MC was assessed using the Test of Gross Motor Development‐2. Waist‐to‐height ratio (WHtR) was calculated and a cutoff of 0.5 was used to define central obesity. Logistic regression was used to examine the association between MC and WHtR ≥ 0.5. Results: The prevalence of central obesity (WHtR) was 54.0% and 46.4% for boys and girls, respectively. Older children (OR = 0.61; CI = 0.44‐0.84; P <.01) and those with higher MC in locomotor skills (OR = 0.96; CI = 0.93‐0.99; P <.01) were less likely to present WHtR ≥ 0.5. Sex and object control skills were not associated with WHtR ≥ 0.5. Conclusions: To reduce the risks of central obesity in children, health practitioners should focus on increasing competence in locomotor skills since preschool years. [ABSTRACT FROM AUTHOR]

Objectives: Little is known about the key performance characteristics of female players throughout adolescence, and how they compares to male players. The aim of this study was to compare performance assessments for male and female youth soccer players aged 9-18 years. Methods: Anthropometry, physical fitness, motor competence, dribbling performance and decision-making were assessed in 77 female and 182 male athletes from three developmental stages (sampling stage: 9-11y; specialisation stage: 12-14y; and investment stage: 15-18y). Results: MANOVA revealed significant interaction effects for age and sex on anthropometry, motor competence & physical fitness (p<0.001, η2p=0.131-0.216), while only main effects of sex and age were revealed for decision-making and dribbling (p<0.001, η2p=0.053-0.250). Females had better mean scores for most variables in the sampling stage, whereas males in the investment stage outperformed the females. Greater performance scores for decision-making and dribbling were evident for males at all ages. These results reveal that male and female soccer players' generic performance-related characteristics differ very little at a young age, whereas performance in soccer-specific assessments do. Conclusions: Hence, this study argues that in order to maximise the size of talent pools in soccer and increase skill development, young male and female players could train and play together until the end of the sampling stage (~12y). [ABSTRACT FROM AUTHOR]

The current study aimed to investigate the performance characteristics that discriminate Australian youth soccer players according to their academy status. A total of 165 youth soccer players participated in this study and were sub-divided into either an early adolescence (n = 92, age = 13.0 ± 0.6 years) or mid-adolescence (n = 73 age = 14.8 ± 0.6 years) group. Players completed multifactorial assessments of anthropometry, motor competence, physical fitness, decision-making and psychological traits. Statistical significance was set at p ≤ 0.05. Multivariate analysis of variance identified dynamic balancing ability (both age groups), object manipulation (mid-adolescence), lateral jumping ability (both age groups), linear speed over 5 m (both age groups), change of direction skill (mid-adolescence), intermittent aerobic endurance (mid-adolescence) and total response time on a decision-making assessment (early adolescence) to discriminate academy status. Interestingly, a binomial logistical regression showed that a 0.1 s decrease in sprint time (i.e. running faster) increased the odds of a player belonging to a tier one academy by 19% and 47% for early and mid-adolescent players, respectively. Overall, performance in the motor competence and physical fitness assessments were in favour of the tier one academy players. These findings are indicative of a potential selection bias in the Australian talent pool or a training effect whereby tier one academy programmes emphasise the development of physical attributes. However, future research is required to further substantiate this in a larger sample of youth soccer players from other playing regions within Australia. [ABSTRACT FROM AUTHOR]

Purpose: In sport, assessments are routinely administered to give an indication of performance. Assessing a skill requires external factors to dictate how and when the action is performed, highlighting the need for skill assessments to closely replicate the perception-action couplings experienced in football game play. Therefore, this study investigated if the Footbonaut is a valid and reliable football-specific skill assessment tool. Methods: Footbonaut performance scores from 152 male players from U12 to U23 representing a professional German Bundesliga club during the 2016/2017 season were analysed. Results: Pearson correlations (r) and coefficient of variation (CV) for the correct number of passes in a target (CV = 7.5–11.1; r = 0.48; p < 0.001), the speed at which they completed each trial (CV = 2.6–5.1; r = 0.70; p < 0.001), and a computer-generated point score (CV = 7.4–12.3; r = 0.77; p < 0.001) demonstrated acceptable test–retest reliability. Moreover, a MANOVA revealed a strong multivariate effect of age group on speed and accuracy combined (F = 7.80, p < 0.001, ES = 0.28), demonstrating the Footbonaut's construct validity. Conclusion: The results in this study demonstrated that the Footbonaut is a valid and reliable assessment of football-specific skill. [ABSTRACT FROM AUTHOR]

This study aimed to determine if the Körperkoordinationstest für Kinder (KTK) remained a valid assessment of motor competence following the removal of the hopping for height subtest (KTK3). Children (n = 2479) aged 6–11 years completed all KTK subtests (KTK4) and motor quotient sum scores (MQS) were determined for the KTK3 and KTK4. Classifications were established as MQS below percentile 5 (P5), MQS between percentile 5–15 (P15), MQS between percentile 15–50 (P15–50), MQS between percentile 50–85 (P50–85), MQS between percentile 85–95 (P85), and MQS higher than percentile 95 (P95). Pearson's correlation (r =.97) and cross-tabs (Chi2 = 6822.53, p <.001; Kappa = 0.72) identified substantial agreement overall between the KTK3 and KTK4. However, when classified into separate age and gender categories, poor agreement (< 60%) was found in girls: P15 at 8–11 years and P85 at 6–7 years; and in boys: P5 and P15 at 6 years, P85 at 8 years, and P15 at 10 years. Researchers should consider these findings when selecting which KTK protocol to use. [ABSTRACT FROM AUTHOR]

Purpose: Monitoring athletic development in youth soccer can help sporting professionals monitor athletic development and evaluate the effectiveness of training interventions. However, long-term follow up in talent development programmes in youth soccer is complicated. Therefore, the aim of this study was to forecast the developmental trajectories of explosive leg power in youth soccer players. Methods: Mixed effects regression models were used to forecast explosive leg power (countermovement (CMJ) and standing broad jump (SBJ)) in a longitudinal sample of 2201 youth soccer players from two high level Belgian acedemies and the Belgian National teams. Players were aged between 6 and 20 years (mean age = 13.04 ± 3.18 y) and were subdivided into three age cohorts (6–10, 11–15, and 16–20 y) for CMJ and two age cohorts (6–16, and 17–20 y) for SBJ. Results: This study was able to accurately forecast explosive leg power using different regression equations in each age cohort. Conclusions: Researchers, coaches, and sporting professionals can use these methods to either predict future explosive leg power from current performance measures, monitor the development of explosive leg power, or assess the effectiveness of training interactions aimed at altering predicted developmental trajectories. [ABSTRACT FROM AUTHOR]

Talent identification and development in football is a complex, multifaceted process. Currently, most of the research in this domain is conducted in highly ranked, established football nations where the sport is immensely popular (e.g. Germany, Portugal, Belgium, etc.). Whilst these nation's data are informative to some degree, there is little conclusive evidence supporting the effectiveness of traditional talent identification approaches. Typically, talent identification involves actively selecting promising players with early performance superiorities without considering the changes that can occur during development. Consequently, it is difficult to develop a framework for emerging football nations as the repercussions of adopting traditional approaches to talent identification are likely greater due to differences the size of the talent pool, accessibility of systematic training environments, and availability of financial and logistical resources. It is proposed that emerging football nations should focus on: preventing active deselection and dropout to maximise the size of the talent pool, mitigating the influence of confounding factors on talent identification, and longitudinally tracking players throughout development to document the performance profiles that lead to football expertise. Collectively, these strategies can reduce the reliance on identifying players based on early performance superiorities and focus on holistic, long-term development. [ABSTRACT FROM AUTHOR]

Purpose: This study adopted an exploratory approach to investigate the use of small-sided games as a talent identification tool to determine youth soccer players' skill proficiency. Methods: A total of 73 male youth soccer players (age = 13.3 ± 1.2 years) were subdivided into two groups in accordance with their playing level (high-level: n = 36, low-level: n = 37). Within their levels, players completed 4 vs. 4 small-sided games on a 30 × 20 m playing surface under two conditions (condition 1: 5 × 3 min, condition 2: 3 × 5 min). Attempted and completed skill involvements were analysed using retrospective video analysis. Skill proficiency was determined as the total completed involvements relative to amount attempted. Results: Repeated measures multivariate analysis of variance identified that high-level players displayed a significantly greater number of attempted and completed passes, touches, and total skill involvements compared with low-level players. Only the number of attempted passes and total involvements differed between conditions for high-level players. High-level players' total skill proficiency was significantly greater than their lower level counterparts. Conclusion: This study supports the use of small-sided games as a tool to assess soccer-specific skill proficiency, which coaches and sporting practitioners can apply in a talent identification setting. [ABSTRACT FROM AUTHOR]

This study aimed to cross validate previously developed predictive models of mountain biking performance in a new cohort of mountain bikers during a 4-h event (XC4H). Eight amateur XC4H cyclists completed a multidimensional assessment battery including a power profile assessment that consisted of maximal efforts between 6 and 600 s, maximal hand grip strength assessments, a video-based decision-making test as well as a XC4H race. A multiple linear regression model was found to predict XC4H performance with good accuracy (R2 = 0.99;P < 0.01). This model consisted ofrelative to total cycling mass (body mass including competition clothing and bicycle mass), maximum power output sustained over 60 s relative to total cycling mass, peak left hand grip strength and two-line decision-making score. Previous models for Olympic distance MTB performance demonstrated merit (R2 = 0.93;P > 0.05) although subtle changes improved the fit, significance and normal distribution of residuals within the model (R2 = 0.99;P < 0.01), highlighting differences between the disciplines. The high level of predictive accuracy of the new XC4H model further supports the use of a multidimensional approach in predicting MTB performance. The difference between the new, XC4H and previous Olympic MTB predictive models demonstrates subtle differences in physiological requirements and performance predictors between the two MTB disciplines. [ABSTRACT FROM PUBLISHER]

​In team sport, classifying playing position based on a players’ expressed skill sets can provide a guide to talent identification by enabling the recognition of performance attributes relative to playing position. Here, elite junior Australian football players were a priori classified into 1 of 4 common playing positions; forward, midfield, defence, and ruck. Three analysis approaches were used to assess the extent to which 12 in-game skill performance indicators could classify playing position. These were a linear discriminant analysis (LDA), random forest, and a PART decision list. The LDA produced classification accuracy of 56.8%, with class errors ranging from 19.6% (midfielders) to 75.0% (ruck). The random forest model performed at a slightly worse level (51.62%), with class errors ranging from 27.8% (midfielders) to 100% (ruck). The decision list revealed 6 rules capable of classifying playing position at accuracy of 70.1%, with class errors ranging from 14.4% (midfielders) to 100% (ruck). Although the PART decision list produced the greatest relative classification accuracy, the technical skill indicators reported were generally unable to accurately classify players according to their position using the 3 analysis approaches. This player homogeneity may complicate recruitment by constraining talent recruiter’s ability to objectively recognise distinctive positional attributes. [ABSTRACT FROM AUTHOR]

This study adopted a multidimensional approach to performance prediction within Olympic distance cross-country mountain biking (XCO-MTB). Twelve competitive XCO-MTB cyclists (VO2max 60.8 ± 6.7 ml · kg−1 · min−1) completed an incremental cycling test, maximal hand grip strength test, cycling power profile (maximal efforts lasting 6–600 s), decision-making test and an individual XCO-MTB time-trial (34.25 km). A hierarchical approach using multiple linear regression analyses was used to develop predictive models of performance across 10 circuit subsections and the total time-trial. The strongest model to predict overall time-trial performance achieved prediction accuracy of 127.1 s across 6246.8 ± 452.0 s (adjustedR2 = 0.92;P < 0.01). This model included VO2max relative to total cycling mass, maximal mean power across 5 and 30 s, peak left hand grip strength, and response time for correct decisions in the decision-making task. A range of factors contributed to the models for each individual subsection of the circuit with varying predictive strength (adjustedR2: 0.62–0.97;P < 0.05). The high prediction accuracy for the total time-trial supports that a multidimensional approach should be taken to develop XCO-MTB performance. Additionally, individual models for circuit subsections may help guide training practices relative to the specific trail characteristics of various XCO-MTB circuits. [ABSTRACT FROM AUTHOR]

This study examined the skill involvements of three positional groups across a junior representative rugby league season. Data were collected from 45 rugby league players (mean ± SD; age = 16.5 ± 1.0 years) currently participating in the Harold Matthews and SG Ball Cup. Players were subdivided into hit-up forwards, adjustables and outside backs. The frequency (n· min−1) of offensive, defensive and overall involvements was coded for each group using a notation system and a practical coach skill analysis tool. Multivariate analysis of variance (MANOVA) revealed a significant effect of playing position on skill involvements (F = 9.06;P < 0.001;ES = 0.41). Hit-up forwards performed a significantly greater frequency of offensive (0.31 ± 0.10), defensive (0.42 ± 0.15) and overall involvements (0.74 ± 0.19) when compared to adjustables (0.20 ± 0.08, 0.28 ± 0.08 and 0.52 ± 0.15, respectively) and outside backs (0.20 ± 0.12, 0.11 ± 0.07 and ± 0.31 ± 0.17, respectively). Further, adjustables performed a significantly greater number of defensive (0.28 ± 0.08) and overall involvements (0.52 ± 0.15) when compared to outside backs (0.11 ± 0.07 and 0.31 ± 0.17, respectively). The findings of this study suggest that it is important to consider a junior player’s positional group when analysing their skill involvements. Information gained from this study could assist in the design of specific training methodologies for junior rugby league players in high-level talent development programmes. [ABSTRACT FROM AUTHOR]

The article presents a study which identifies the relationship between measures of aerobic and anaerobic performance on changes in physical performance across a laboratory-based team sport match simulation. It explains the limitation of match simulation protocols in determining work intensities for set locomotor categories from an individual's peak sprint speed (PSS). It implies that match simulations established that team-sport match play is largely reliant on aerobic metabolism.

The aim of the present study was to evaluate the Flemish Sports Compass (FSC), a non-sport-specific generic testing battery. It was hypothesised that a set of 22 tests would have sufficient discriminant power to allocate athletes to their own sport based on a unique combination of test scores. First, discriminant analyses were applied to the 22 tests of anthropometry, physical fitness and motor coordination in 141 boys under age 18 (16.1 ± 0.8 years) and post age at peak height velocity (maturity offset = 2.674 ± 0.926) from Flemish Top Sport Academies for badminton, basketball, gymnastics, handball, judo, soccer, table tennis, triathlon and volleyball. Second, nine sequential discriminant analyses were used to assess the ability of a set of relevant performance characteristics classifying participants and non-participants for the respective sports. Discriminant analyses resulted in a 96.4% correct classification of all participants for the nine different sports. When focusing on relevant performance characteristics, 80.1% to 97.2% of the total test sample was classified correctly within their respective disciplines. The discriminating characteristics were briefly the following: flexibility in gymnastics, explosive lower-limb strength in badminton and volleyball, speed and agility in badminton, judo, soccer and volleyball, upper-body strength in badminton, basketball and gymnastics, cardiorespiratory endurance in triathletes, dribbling skills in handball, basketball and soccer and overhead-throwing skills in badminton and volleyball. The generic talent characteristics of the FSC enable the distinction of adolescent boys according to their particular sport. Implications for talent programmes are discussed. [ABSTRACT FROM AUTHOR]

The present study aimed to investigate positional differences in 744 high-level soccer players, aged 8 to 18 years. Players were assigned to six age groups (U9–U19) and divided into four playing positions (goalkeeper (GK), defender (DEF), midfielder (MF) and attacker (ATT)). MANOVA and effect sizes were used to examine anthropometrical and functional characteristics between all positions in all age groups. The main findings of the study were that GKs and DEFs were the tallest and heaviest compared with MFs and ATTs in all age groups. Further, between U9–U15, no significant differences in functional characteristics were found, except for dribbling skill, which MFs performed the best. In the U17–U19 age groups, ATTs seemed to be the most explosive (with GKs), the fastest and the more agile field players. These results suggest that inherent physical capacities (i.e., speed, power, agility) might select players in or reject players from an attacking position, which is still possible from U15–U17. Apparently, players with excellent dribbling skills at younger age are more likely to be selected to play as a MF, although, one might conclude that the typical physical characteristics for different positions at senior level are not yet fully developed among young soccer players between 8 and 14 years. [ABSTRACT FROM AUTHOR]

Copyright of Brazilian Journal of Motor Behavior is the property of Brazilian Journal of Motor Behavior and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)