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Désirée B. Maltais, Claire Gane, Sophie-Krystale Dufour, Dominik Wyss, Laurent J. Bouyer, Bradford J. McFadyen, Karl Zabjek, Jan Andrysek and Julien I.A. Voisin

Little is known about the effects of acute exercise on the cognitive functioning of children with cerebral palsy (CP). Selected cognitive functions were thus measured using a pediatric version of the Stroop test before and after maximal, locomotor based aerobic exercise in 16 independently ambulatory children (8 children with CP), 6–15 years old. Intense exercise had: 1) a significant, large, positive effect on reaction time (RT) for the CP group (preexercise: 892 ± 56.5 ms vs. postexercise: 798 ± 45.6 ms, p < .002, d = 1.87) with a trend for a similar but smaller response for the typically developing (TD) group (preexercise: 855 ± 56.5 ms vs. postexercise: 822 ± 45.6 ms, p < .08, d = 0.59), and 2) a significant, medium, negative effect on the interference effect for the CP group (preexercise: 4.5 ± 2.5%RT vs. postexercise: 13 ± 2.9%RT, p < .04, d = 0.77) with no significant effect for the TD group (preexercise: 7.2 ± 2.5%RT vs. postexercise: 6.9 ± 2.9%RT, p > .4, d = 0.03). Response accuracy was high in both groups pre- and postexercise (>96%). In conclusion, intense exercise impacts cognitive functioning in children with CP, both by increasing processing speed and decreasing executive function.

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Gisela Kobberling, Louis W. Jankowski and Luc Leger

The oxygen consumption (VO2) of 30 (10 females, 20 males) legally blind adolescents and their sighted controls were compared for treadmill walking (3 mph, 4.8 km/h) and running (6 mph, 9.6 km/h). The VO2 of the visually impaired subjects averaged 24.4% and 10.8% higher than those of their same-sex age-matched controls, and 42.8% and 11.2% higher than the American College of Sports Medicine (ACSM) norms for walking (p<.01) and running (p<.05), respectively. The normal association between aerobic capacity and locomotor energy costs was evident among the sighted controls (r= .44, p<.05) but insignificant (r=.35, p>.05) for the visually impaired subjects. The energy costs of both walking and running were highest among the totally blind subjects, and decreased toward normal as a function of residual vision among the legally blind subjects. The energy costs of walking and running for blind adolescents are higher than both those of sighted controls and the ACSM norm values.

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Jebb G. Remelius, Joseph Hamill, Jane Kent-Braun and Richard E.A. Van Emmerik

Individuals with multiple sclerosis (MS) often have poor balance control that is especially apparent during dynamic tasks such as gait initiation (GI). The purpose of this study was to investigate how balance symptoms due to MS alter spatiotemporal variables, coordination, and temporal margins within the stability boundary during gait initiation. Twelve women with MS (Expanded Disability Status Scale [EDSS] mean = 4.0, SD = 1.4) and 12 women without MS (control group) initiated gait at their preferred speed. MS participants attained a slower anterior velocity because of smaller anterior center of mass displacements and took longer to complete the initiation of gait than the control group. MS participants exhibited a smaller posterior shift in center of pressure during GI and stepped with a longer dual support time than the control group. However, these changes may be due to differences in initiation velocity. Relative timing analysis showed invariance in postural and locomotor phases of gait initiation between groups. The MS group showed different coordination between anterior-posterior and medio-lateral center of pressure components while increasing temporal margins to the posterior and lateral stability boundaries in comparison with the control group. Overall, during gait initiation at their preferred speed the MS participants adopted a functional strategy that produces lower speed and reduced proximity to the stability boundaries prior to stepping.

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David I. Anderson, Audun Dahl, Joseph J. Campos, Kiren Chand, Minxuan He and Ichiro Uchiyama

This report describes a novel test of the prediction that locomotion-induced changes in an infant’s functional utilization of peripheral lamellar optic flow (PLOF) for postural stability contributes to avoidance of the deep side of a visual cliff. To test the prediction, a corridor, with either low-textured or high-textured walls, was constructed to run the length of a visual cliff. The infants, 9.5-month-olds with varying amounts of hands-and-knees crawling experience, were randomly assigned to the low-texture (n = 30) or the high-texture condition (n = 32). Consistent with predictions, the findings revealed significant interactions between crawling experience and texture condition for the probability of crossing and the latency to venture onto the deep side of the cliff. Most notably, more experienced crawlers, but not less experienced crawlers, were significantly more likely to cross the visual cliff to the parents and ventured onto the cliff faster in the high-texture condition than in the low-texture condition. The availability of PLOF thus had an effect on infants’ crossing behavior on the visual cliff. We interpret these findings as evidence for a three-step process in which locomotor-induced changes in visual proprioception play a central role in the development of wariness of heights.

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James J. Malone, Ric Lovell, Matthew C. Varley and Aaron J. Coutts

Athlete-tracking devices that include global positioning system (GPS) and microelectrical mechanical system (MEMS) components are now commonplace in sport research and practice. These devices provide large amounts of data that are used to inform decision making on athlete training and performance. However, the data obtained from these devices are often provided without clear explanation of how these metrics are obtained. At present, there is no clear consensus regarding how these data should be handled and reported in a sport context. Therefore, the aim of this review was to examine the factors that affect the data produced by these athlete-tracking devices and to provide guidelines for collecting, processing, and reporting of data. Many factors including device sampling rate, positioning and fitting of devices, satellite signal, and data-filtering methods can affect the measures obtained from GPS and MEMS devices. Therefore researchers are encouraged to report device brand/model, sampling frequency, number of satellites, horizontal dilution of precision, and software/firmware versions in any published research. In addition, details of inclusion/exclusion criteria for data obtained from these devices are also recommended. Considerations for the application of speed zones to evaluate the magnitude and distribution of different locomotor activities recorded by GPS are also presented, alongside recommendations for both industry practice and future research directions. Through a standard approach to data collection and procedure reporting, researchers and practitioners will be able to make more confident comparisons from their data, which will improve the understanding and impact these devices can have on athlete performance.

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Martin Buchheit and Ben Michael Simpson

With the ongoing development of microtechnology, player tracking has become one of the most important components of load monitoring in team sports. The 3 main objectives of player tracking are better understanding of practice (provide an objective, a posteriori evaluation of external load and locomotor demands of any given session or match), optimization of training-load patterns at the team level, and decision making on individual players’ training programs to improve performance and prevent injuries (eg, top-up training vs unloading sequences, return to play progression). This paper discusses the basics of a simple tracking approach and the need to integrate multiple systems. The limitations of some of the most used variables in the field (including metabolic-power measures) are debated, and innovative and potentially new powerful variables are presented. The foundations of a successful player-monitoring system are probably laid on the pitch first, in the way practitioners collect their own tracking data, given the limitations of each variable, and how they report and use all this information, rather than in the technology and the variables per se. Overall, the decision to use any tracking technology or new variable should always be considered with a cost/benefit approach (ie, cost, ease of use, portability, manpower/ability to affect the training program).

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Anthony D. Okely, Michael L. Booth and John W. Patterson

This study investigated a possible relationship between cardiorespiratory endurance and fundamental movement skill proficiency among adolescents. Locomotor (run and jump) and object-control (catch, throw, kick, and strike) skills and cardiorespiratory endurance, indirectly measured using the Multistage Fitness Test (MFT) or PACER, were assessed in 2,026 boys and girls in Grade 8 (mean age = 13.3 years) and Grade 10 (mean age = 15.3 years), who were part of a randomly selected sample who agreed to participate in the New South Wales Schools Fitness and Physical Activity Survey, 1997. Boys had higher levels of cardiorespiratory endurance and were more competent than girls on 5 out of 6 skills. Grade 10 students were better on all skills and were aerobically fitter than Grade 8 students. All six skills and a skills index were related to the number of laps completed on the MFT. The six skills explained 20% and 26% of the variance in the number of laps completed on the MFT for Grade 8 and Grade 10 girls, respectively, and 12% and 17% for Grade 8 and Grade 10 boys, respectively. This finding can be interpreted as evidence of a relationship between cardiorespiratory endurance and fundamental movement skills among adolescents. Further studies are recommended to determine if improved movement skills in adolescents can promote cardiorespiratory endurance.

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Judith Jiménez, Maria Morera, Walter Salazar and Carl Gabbard


Motor skill competence has been associated with physical activity level, fitness, and other relevant health-related characteristics. Recent research has focused on understanding these relationships in children and adolescents, but little is known about subsequent years. The aim of this study was to examine the relationship between fundamental motor skill (FMS) ability and body mass index (BMI) in young adults.


Participants, 40 men and 40 women (M age = 19.25 yr, SD = 2.48), were assessed for BMI and motor competence with 10 fundamental motor skills (FMSs) using the Test for Fundamental Motor Skills in Adults (TFMSA).


BMI was negatively associated with total motor ability (r = –.257; p = .02) and object control skills (r = –.251; p = .02); the relationship with locomotor skills was marginally insignificant (r = –.204; p = .07). In regard to individual skills, a significant negative association was found for running, jumping, striking, and kicking (ps < .05). Multiple regression analysis indicated that BMI and gender predicted 42% of the variance in total FMS score; gender was the only significant predictor.


Overall, these preliminary findings suggest that young adults with higher FMS ability are more likely to have lower BMI scores.

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Samuel W. Logan, E. Kipling Webster, Nancy Getchell, Karin A. Pfeiffer and Leah E. Robinson

The purpose of this review is to synthesize the evidence of the relationship between fundamental motor skills (FMS) competence and physical activity by qualitatively describing results from 13 studies that met rigorous inclusion criteria. Inclusion criteria: (a) published in a peer-review journal, (b) participants were between the ages of 3–18, (c) participants were typically developing, (d) FMS was measured by a process-oriented assessment, (e) assessed physical activity, (f) related FMS and physical activity through statistical procedures, and (g) printed in English. Databases were searched for relevant articles using key terms related to FMS and physical activity. Evidence suggested low to moderate relationships between FMS competence and physical activity in early childhood (r = .16 to .48; R 2 = 3–23%, 4 studies), low to high relationships in middle to late childhood (r = .24 to .55; R 2 = 6–30%, 7 studies), and low to moderate relationships in adolescence (r = .14 to .35; R 2 = 2–12.3%, 2 studies). Across ages, object control skills and locomotor skills were more strongly related to physical activity for boys and girls, respectively. Future research should emphasize experimental and longitudinal research designs to provide further understanding of the relationship between FMS competence and physical activity.

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Mohamed Ali Nabli, Nidhal Ben Abdelkrim, Imed Jabri, Tahar Batikh, Carlo Castagna and Karim Chamari


To examine the relation between game performance, physiological responses, and field-test results in Tunisian basketball referees.


Computerized time–motion analysis, heart rate (HR), and blood lactate concentration [La] were measured in 15 referees during 8 competitive games (under-19-y-old Tunisian league). Referees also performed a repeated-sprint test (RSA), Yo-Yo Intermittent Recovery Test level 1 (YYIRTL1), agility T-test, and 30-m sprint with 10-m lap time. Computerized video analysis determined the time spent in 5 locomotor activities (standing, walking, jogging, running, and sprint), then grouped in high-, moderate-, and low-intensity activities (HIAs, MIAs, and LIAs, respectively).


YYIRTL1 performance correlated with (1) total distance covered during the 4th quarter (r = .52, P = .04) and (2) distance covered in LIA during all game periods (P < .05). Both distance covered and time spent in MIA during the 1st quarter were negatively correlated with the YYIRTL1 performance (r = –.53, P = .035; r = –.67, P = .004, respectively). A negative correlation was found between distance covered at HIA during the 2nd half (3rd quarter + 4th quarter) and fatigue index of the RSA test (r = –.54, P = .029). Mean HR (expressed as %HRpeak) during all game periods was correlated with YYIRTL1 performance (.61 ≤ r < .67, P < .01).


This study showed that (1) the YYIRTL1 performance is a moderate predictor of game physical performance in U-19 basketball referees and (2) referees’ RSA correlates with the amount of HIA performed during the 2nd half, which represents the ability to keep up with play.