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Judith Jiménez, Maria Morera, Walter Salazar and Carl Gabbard

Purpose:

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.

Method:

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).

Results:

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.

Conclusion:

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

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Peggy M. Roswal, Claudine Sherrill and Glenn M. Roswal

This study compared the effectiveness of data based and creative dance pedagogies in relation to motor skill performance and self-concept of mentally retarded students. Subjects (N=35) were moderately mentally retarded males and females, ages 11 to 16 years, in special education classes. Their mean age was 12.88 years in the data based group and 13.47 years in the creative dance group. Excluding testing, the study lasted 8 weeks. Each group received 40 lessons of 30 minutes each. Data based pedagogy was based on the work of Dunn, Morehouse, and Dalke (1979), and creative dance pedagogy was based primarily on the work of Riordan (Fitt & Riordan, 1980). Pretest and posttest data were collected through administration of the Data Based Dance Skills Placement Test, selected subtests of the Cratty Six-Category Gross Motor Test, and the Martinek-Zaichkowsky Self-Concept Scale. Multivariate analysis of covariance revealed no difference between pedagogies. The group means indicated improvement in dance skill performance but not in self-concept or body perception, balance, and gross and locomotor agility.

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Gail M. Dummer, John L. Haubenstricker and David A. Stewart

The Test of Gross Motor Development (TGMD) was used to assess the fundamental motor skills of 91 girls and 110 boys aged 4 to 18 years who attended two schools for students who are deaf. Average hearing loss, determined by better ear average, was 96.94 dB (SD = 14.40 dB). Modifications to the procedures for administering the TGMD included visual demonstrations and the use of signing to communicate instructions. The raw score means of subjects aged 4–10 years who were deaf were lower than those of the TGMD standardization sample of same-aged children who could hear at six of seven age levels on both the object-control and locomotor subscales. However, there were relatively small differences in the mean scores of the two groups. Subjects with mature movement patterns for the throw, kick, jump, and run performed better on quantitative tests for those skills than subjects with immature patterns. Typical age and gender patterns of skill acquisition were revealed for both the qualitative and quantitative aspects of the fundamental motor skills examined.

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

Purpose:

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

Methods:

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).

Results:

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).

Conclusions:

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.

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Jared A. Bailey, Paul B. Gastin, Luke Mackey and Dan B. Dwyer

Context:

Most previous investigations of player load in netball have used subjective methodologies, with few using objective methodologies. While all studies report differences in player activities or total load between playing positions, it is unclear how the differences in player activity explain differences in positional load.

Purpose:

To objectively quantify the load associated with typical activities for all positions in elite netball.

Methods:

The player load of all playing positions in an elite netball team was measured during matches using wearable accelerometers. Video recordings of the matches were also analyzed to record the start time and duration of 13 commonly reported netball activities. The load associated with each activity was determined by time-aligning both data sets (load and activity).

Results:

Off-ball guarding produced the highest player load per instance, while jogging produced the greatest player load per match. Nonlocomotor activities contributed least to total match load for attacking positions (goal shooter [GS], goal attack [GA], and wing attack [WA]) and most for defending positions (goalkeeper [GK], goal defense [GD], and wing defense [WD]). Specifically, centers (Cs) produced the greatest jogging load, WA and WD accumulated the greatest running load, and GS and WA accumulated the greatest shuffling load. WD and Cs accumulated the greatest guarding load, while WD and GK accumulated the greatest off-ball guarding load.

Conclusions:

All positions exhibited different contributions from locomotor and nonlocomotor activities toward total match load. In addition, the same activity can have different contributions toward total match load, depending on the position. This has implications for future design and implementation of position-specific training programs.