Validity and Interunit Reliability of 10 Hz and 15 Hz GPS Units for Assessing Athlete Movement Demands

Johnston, Richard J.; Watsford, Mark L.; Kelly, Stephen; Pine, Matthew J.; Spurrs, Robert W.

doi:10.1519/jsc.0000000000000323

Cited by 335 publications

(285 citation statements)

References 23 publications

(61 reference statements)

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“…The 10 Hz GPS units used in this study have previously been shown to be more reliable than 5 and 15 Hz GPS (25,36). The GPS units used have a typical error (expressed as coefficient of variation; CV) of 1.9, 4.7 and 10.5% for total distance, high-speed running (>4.7 m.s -1 ) and very high-speed running (>5.56 m.s -1 ), respectively (36).…”

Section: Methodsmentioning

confidence: 91%

Physical Demands of Representative Match-Play in Adolescent Rugby Union

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Jones

Phibbs

et al. 2017

Journal of Strength and Conditioning Research

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The purpose of this study was to quantify the physical demands of representative adolescent rugby union match-play and investigate the difference between playing positions and age groups. Players (n=112) were classified into 6 groups by playing position (forwards and backs) and age group (U16, U18, U20). The physical demands were measured using microsensor-based technology and analysed using magnitude based inferences to assess practical importance. Backs had a greater relative distance (except U16s) and a greater highspeed running distance per minute than forwards, with the magnitude of difference between the positions becoming larger in older age groups. Forwards had higher values of PlayerLoad TM per minute (accumulated accelerations from the three axes of movement) and PlayerLoad TM slow per minute (accumulated accelerations from the three axes of movement where velocity is <2 m.s -1 ) than backs at all age groups. Relative distance, low-and highspeed running per minute all had a trend to be lower in older age groups for both positions.PlayerLoad TM per minute was greater in U18 than U16 and U20 for both positions.PlayerLoad TM slow per minute was greater for older age groups besides the U18 and U20 comparisons, which were unclear. The contrasts in physical demands experienced by different positions reinforce the need for greater exposure to sprinting and collision based activity for backs and forwards, respectively. Given PlayerLoad TM metrics peak at U18 and locomotor demands seem to be lower in older ages, the demands of representative adolescent rugby union do not seem to be greater at U20 as expected.

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Section: Methodsmentioning

confidence: 91%

Physical Demands of Representative Match-Play in Adolescent Rugby Union

Read

Jones

Phibbs

et al. 2017

Journal of Strength and Conditioning Research

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“…The device has been reported to be both reliable and valid in previous studies. 10,12 The team completed four to seven sessions per week, with a mean of 75.1 ± 23.5 minutes played per match and training session duration of 68.5 ± 17.3 minutes. All of the observed training sessions were designed by the team's head coach and sport scientist.…”

Section: Data Collection Proceduresmentioning

confidence: 99%

“…GPS technology has improved over the last several years 9 and evidence indicates that GPS data can provide a viable estimate of external training loads imposed on athletes in team sports. [10][11][12] In order to improve measurements of change-of-direction and contact activities, GPS units have been equipped with additional gyroscope and triaxial accelerometer technology. 13 The information provided from GPS is much more objective compared to session RPE.…”

Section: Introductionmentioning

confidence: 99%

Establishing a duration standard for the calculation of session rating of perceived exertion in NCAA division I men’s soccer

Pustina¹,

Sato²,

Liu³

et al. 2017

Journal of Trainology

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Objectives:The purpose of this study was to determine the best predictor of training and/or match load using session RPE. Design and Methods: 20 NCAA DI male soccer players participated in the study during the 2014 and 2015 competitive seasons.Players completed 15.20 ± 1.05 matches for a total of 304 individual data points and 29.90 ± 1.89. training sessions for a total of 598 individual data points. GPS variables (total distance, High-intensity running distance, and Player load) were analyzed with session RPE using Pearson product-moment correlations. To evaluate various methods of session RPE, "match duration" was recorded using eight different definitions: total match duration including warm-up and half-time, total match duration and warm-up, total match duration and half-time, total match duration only, minutes played including warm-up and half-time, minutes played and warm-up, minutes played and half-time, and minutes played only. A one-way ANOVA with repeated measures was used to determine if differences existed between the eight session RPE calculations. Results:Results from the ANOVA showed that all session RPE measures were significantly different from one another (P < 0.05).Very large correlations were reported between session RPE calculated using minutes played and total distance (0.81), while session RPE calculated using match duration showed less magnitude (0.57). Conclusions:Minutes played should be used to calculate session RPE as it was found to most closely reflect the actual workloads incurred during competitive matches.(Journal of Trainology 2017;6:26-30)

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“…The primary locomotive demand analysed from the GPS data was total distance, which has previously been proven reliable (Johnston et al, 2014).…”

mentioning

confidence: 99%

The Use of Accelerometers to Quantify Collisions and Running Demands of Rugby Union Match-Play

Roe

Halkier²,

Beggs

et al. 2016

International Journal of Performance Analysis in Sport

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Validity and Interunit Reliability of 10 Hz and 15 Hz GPS Units for Assessing Athlete Movement Demands

Cited by 335 publications

References 23 publications

Physical Demands of Representative Match-Play in Adolescent Rugby Union

Physical Demands of Representative Match-Play in Adolescent Rugby Union

Establishing a duration standard for the calculation of session rating of perceived exertion in NCAA division I men’s soccer

The Use of Accelerometers to Quantify Collisions and Running Demands of Rugby Union Match-Play

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