UB Paderborn / Katalog / Suche / in CDI

Validation of a Trunk-mounted Accelerometer to Measure Peak Impacts during Team Sport Movements

International journal of sports medicine, 2015-08, Vol.36 (9), p.742-746

2015

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Predicting outcomes in sport: Issues related to the measurement and analysis of load and injury

Journal of science and medicine in sport, 2014-12, Vol.18, p.e23-e24

Gastin, P

2014

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The risk of injury in the first five years of an Australian football career – Can it be predicted without using player load?

Journal of science and medicine in sport, 2021-11, Vol.24, p.S15-S15

2021

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Energy system interaction and relative contribution during maximal exercise

Sports medicine (Auckland), 2001, Vol.31 (10), p.725-741

GASTIN, Paul B

2001

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Variation in load in elite junior AF players across the week in a 24-week season is associated with changes in wellness (mood and soreness)

Journal of science and medicine in sport, 2019-10, Vol.22, p.S64-S64

2019

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A longitudinal analysis of AFL injury characteristics indicates changes in setting, site and time span from 1997 to 2016

Journal of science and medicine in sport, 2018-11, Vol.21, p.S61-S62

2018

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Muscle damage and indices of match load in elite Australian football

Journal of science and medicine in sport, 2017-11, Vol.20, p.55-56

2017

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Strategies for practitioners to effectively incorporate self-report measures into athletic preparation

Journal of science and medicine in sport, 2017, Vol.20, p.e65-e66

2017

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Wellness and injury risk in elite junior Australian football players

Journal of science and medicine in sport, 2017, Vol.20, p.e93-e94

2017

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Anthropometric and physical fitness comparisons between Australian and Qatari male sport school athletes

Journal of science and medicine in sport, 2017-11, Vol.20, p.69-69

2017

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The player load associated with typical activities in elite netball

Journal of science and medicine in sport, 2017-11, Vol.20, p.52-53

2017

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Predicting illness and injury risk in elite female water polo: Is there an optimal way to calculate acute–chronic workload ratio?

Journal of science and medicine in sport, 2017, Vol.20, p.e95-e96

2017

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Impact of sport context on the implementation of a self-report measure

Journal of science and medicine in sport, 2015-12, Vol.19, p.e92-e92

2015

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Effects of a newly implemented self-report measure on athlete self-regulation

Journal of science and medicine in sport, 2015-12, Vol.19, p.e22-e22

2015

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Incidence and severity of injury in elite junior Australian football players over the preseason

Journal of science and medicine in sport, 2014-12, Vol.18, p.e103-e103

2014

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Predictors of individual player performance in junior Australian football

Journal of science and medicine in sport, 2014-12, Vol.18, p.e82-e82

2014

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Energy system contribution during 200- to 1500-m running in highly trained athletes

Medicine and science in sports and exercise, 2001, Vol.33 (1), p.157-162

2001

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Training characteristics of elite Australian rowers: Training volume, loading patterns, and training variety

Journal of science and medicine in sport, 2013-12, Vol.16, p.e94-e94

2013

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Injury risk factors in elite Australian football

Journal of science and medicine in sport, 2013-12, Vol.16, p.e57-e57

2013

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Relationships between motivation and burnout in sub-elite rowers

Journal of science and medicine in sport, 2013-12, Vol.16, p.e50-e50

2013

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Monitoring athletes through self-report: Perceived benefits and outcomes

Journal of science and medicine in sport, 2013-12, Vol.16, p.e50-e51

2013

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Factors influencing the implementation of self-report measures for athlete monitoring

Journal of science and medicine in sport, 2013-12, Vol.16, p.e65-e66

2013

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Accuracy of 1Hz versus 5Hz GPS devices to measure movement patterns in team sport activities

Journal of science and medicine in sport, 2010-12, Vol.13, p.e32

2010

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Accuracy of 1 Hz versus 5 Hz GPS devices to measure movement patterns in team sport activities

Journal of science and medicine in sport, 2010, Vol.13, p.e32-e32

2010

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Validity of GPS housed accelerometer data in running and cutting

Journal of science and medicine in sport, 2010-12, Vol.13, p.e37-e37

2010

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Validation of a Trunk-mounted Accelerometer to Measure Peak Impacts during Team Sport Movements

Predicting outcomes in sport: Issues related to the measurement and analysis of load and injury

The risk of injury in the first five years of an Australian football career – Can it be predicted without using player load?

Energy system interaction and relative contribution during maximal exercise

Variation in load in elite junior AF players across the week in a 24-week season is associated with changes in wellness (mood and soreness)

A longitudinal analysis of AFL injury characteristics indicates changes in setting, site and time span from 1997 to 2016

Muscle damage and indices of match load in elite Australian football

Strategies for practitioners to effectively incorporate self-report measures into athletic preparation

Wellness and injury risk in elite junior Australian football players

Anthropometric and physical fitness comparisons between Australian and Qatari male sport school athletes

The player load associated with typical activities in elite netball

Predicting illness and injury risk in elite female water polo: Is there an optimal way to calculate acute–chronic workload ratio?

Impact of sport context on the implementation of a self-report measure

Effects of a newly implemented self-report measure on athlete self-regulation

Incidence and severity of injury in elite junior Australian football players over the preseason

Predictors of individual player performance in junior Australian football

Energy system contribution during 200- to 1500-m running in highly trained athletes

Training characteristics of elite Australian rowers: Training volume, loading patterns, and training variety

Injury risk factors in elite Australian football

Relationships between motivation and burnout in sub-elite rowers

Monitoring athletes through self-report: Perceived benefits and outcomes

Factors influencing the implementation of self-report measures for athlete monitoring

Accuracy of 1Hz versus 5Hz GPS devices to measure movement patterns in team sport activities

Accuracy of 1 Hz versus 5 Hz GPS devices to measure movement patterns in team sport activities

Validity of GPS housed accelerometer data in running and cutting

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