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Harry E. Routledge, Stuart Graham, Rocco Di Michele, Darren Burgess, Robert M. Erskine, Graeme L. Close and James P. Morton

training sessions and had full access to the players to visibly cross-reference player recall. Quantification of Training and Game Load In-season external training load and match activity profiles were quantified using a portable global positioning system microtechnology device (Optimeye S5; Catapult

Open access

Levi Frehlich, Christine Friedenreich, Alberto Nettel-Aguirre, Jasper Schipperijn and Gavin R. McCormack

measure of geographical location. Recent studies have captured location specific physical activity through the use of Global Position Systems (GPS) monitors usually linked via time stamp with accelerometer data ( Jansen et al., 2018 ; Troped, Wilson, Matthews, Cromley, & Melly, 2010 ). GPS linked

Open access

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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Helen J. Moore, Catherine A. Nixon, Amelia A. Lake, Wayne Douthwaite, Claire L. O’Malley, Claire L. Pedley, Carolyn D. Summerbell and Ashley C. Routen

Background:

Evidence suggests that many contemporary urban environments do not support healthy lifestyle choices and are implicated in the obesity pandemic. Middlesbrough, in the northeast of England is one such environment and a prime target for investigation.

Methods:

To measure physical activity (PA) levels in a sample of 28 adolescents (aged 11 to 14 years) and describe the environmental context of their activity and explore where they are most and least active over a 7-day period, accelerometry and Global Positioning System (GPS) technology were used. Twenty-five of these participants also took part in focus groups about their experiences and perceptions of PA engagement.

Results:

Findings indicated that all participants were relatively inactive throughout the observed period although bouts of moderate-vigorous physical activity (MVPA) were identified in 4 contexts: school, home, street, and rural/urban green spaces, with MVPA levels highest in the school setting. Providing access to local facilities and services (such as leisure centers) is not in itself sufficient to engage adolescents in MVPA.

Conclusion:

Factors influencing engagement in MVPA were identified within and across contexts, including ‘time’ as both a facilitator and barrier, perceptions of ‘gendered’ PA, and the social influences of peer groups and family members.

Free access

Roel De Ridder, Julien Lebleu, Tine Willems, Cedric De Blaiser, Christine Detrembleur and Philip Roosen

the device at the fifth lumbar vertebrae (L5; Figure  1 ). The inertial platform is equipped with 4 sensor fusion technology and consists of a triaxial accelerometer (16 bit/axes; 8 g ), a triaxial magnetometer (13 bit; 1200 μT), a triaxial gyroscope (16 bit/axes; 250°/s), and a global positioning

Free access

Sergio Jiménez-Rubio, Archit Navandar, Jesús Rivilla-García and Victor Paredes-Hernández

of Global Positioning System data could demonstrate the improvement in the players and how effective this program can be. Conclusion The program proposed for the rehabilitation and readaptation phase following an injury to the hamstring muscle complex was determined to be valid by the panel of

Open access

Andreas M. Kasper, S. Andy Sparks, Matthew Hooks, Matthew Skeer, Benjamin Webb, Houman Nia, James P. Morton and Graeme L. Close

, D.J. , & Kelly , S.J . ( 2013 ). Positional differences in professional rugby league match play through the use of global positioning systems . Journal of Strength and Conditioning Research, 27 ( 1 ), 14 – 19 . doi:10.1519/JSC.0b013e31824e108c 10.1519/JSC.0b013e31824e108c Bergamaschi , M

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Nisha Botchwey, Myron F. Floyd, Keshia Pollack Porter, Carmen L. Cutter, Chad Spoon, Tom L. Schmid, Terry L. Conway, J. Aaron Hipp, Anna J. Kim, M. Renee Umstattd Meyer, Amanda L. Walker, Tina J. Kauh and Jim F. Sallis

, constraints to park use, parent preferences for children’s PA, locations for PA, and desired park programs; (2) objectively assessed park-based PA using accelerometers, Global Positioning System monitoring, and System for Observing Play and Recreation in Communities 48 ; and (3) park attribute preferences