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Training-monitoring engagement: an evidence-based approach in elite sport

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Training-monitoring engagement: an evidence-based approach in elite sport. / Neupert, Emma Claire; Cotterill, Stuart T.; Jobson, Simon A.

In: International Journal of Sports Physiology and Performance, Vol. 14, No. 1, 01.01.2019, p. 99-104.

Research output: Contribution to journalArticlepeer-review

Harvard

Neupert, EC, Cotterill, ST & Jobson, SA 2019, 'Training-monitoring engagement: an evidence-based approach in elite sport', International Journal of Sports Physiology and Performance, vol. 14, no. 1, pp. 99-104. https://doi.org/10.1123/ijspp.2018-0098

APA

Neupert, E. C., Cotterill, S. T., & Jobson, S. A. (2019). Training-monitoring engagement: an evidence-based approach in elite sport. International Journal of Sports Physiology and Performance, 14(1), 99-104. https://doi.org/10.1123/ijspp.2018-0098

Vancouver

Neupert EC, Cotterill ST, Jobson SA. Training-monitoring engagement: an evidence-based approach in elite sport. International Journal of Sports Physiology and Performance. 2019 Jan 1;14(1):99-104. https://doi.org/10.1123/ijspp.2018-0098

Author

Neupert, Emma Claire ; Cotterill, Stuart T. ; Jobson, Simon A. / Training-monitoring engagement: an evidence-based approach in elite sport. In: International Journal of Sports Physiology and Performance. 2019 ; Vol. 14, No. 1. pp. 99-104.

Bibtex

@article{5d732028115a4e12abda7cba5dfd995d,
title = "Training-monitoring engagement: an evidence-based approach in elite sport",
abstract = "Purpose: Poor athlete buy-in and adherence to training-monitoring systems (TMS) can be problematic in elite sport. This is a significant issue, as failure to record, interpret, and respond appropriately to negative changes in athlete well-being and training status may result in undesirable consequences such as maladaptation and/or underperformance. This study examined the perceptions of elite athletes to their TMS and their primary reasons for noncompletion.Methods: Nine national-team sprint athletes participated in semistructured interviews on their perceptions of their TMS. Interview data were analyzed qualitatively, based on grounded theory, and TMS adherence information was collected. Results: Thematic analysis showed that athletes reported their main reason for poor buy-in to TMS was a lack of feedback on their monitoring data from key staff. Furthermore, training modifications made in response to meaningful changes in monitoring data were sometimes perceived to be disproportionate, resulting in dishonest reporting practices. Conclusions: Perceptions of opaque or unfair decision making on training-program modifications and insufficient feedback were the primary causes for poor athlete TMS adherence. Supporting TMS implementation with a behavioral-change model that targets problem areas could improve buy-in and enable limited resources to be appropriately directed.",
keywords = "high performance, athlete feedback, adherence, behaviour change, well-being",
author = "Neupert, {Emma Claire} and Cotterill, {Stuart T.} and Jobson, {Simon A.}",
year = "2019",
month = jan,
day = "1",
doi = "10.1123/ijspp.2018-0098",
language = "English",
volume = "14",
pages = "99--104",
journal = "International Journal of Sports Physiology and Performance",
issn = "1555-0265",
publisher = "Human Kinetics Publishers Inc.",
number = "1",

}

RIS

TY - JOUR

T1 - Training-monitoring engagement: an evidence-based approach in elite sport

AU - Neupert, Emma Claire

AU - Cotterill, Stuart T.

AU - Jobson, Simon A.

PY - 2019/1/1

Y1 - 2019/1/1

N2 - Purpose: Poor athlete buy-in and adherence to training-monitoring systems (TMS) can be problematic in elite sport. This is a significant issue, as failure to record, interpret, and respond appropriately to negative changes in athlete well-being and training status may result in undesirable consequences such as maladaptation and/or underperformance. This study examined the perceptions of elite athletes to their TMS and their primary reasons for noncompletion.Methods: Nine national-team sprint athletes participated in semistructured interviews on their perceptions of their TMS. Interview data were analyzed qualitatively, based on grounded theory, and TMS adherence information was collected. Results: Thematic analysis showed that athletes reported their main reason for poor buy-in to TMS was a lack of feedback on their monitoring data from key staff. Furthermore, training modifications made in response to meaningful changes in monitoring data were sometimes perceived to be disproportionate, resulting in dishonest reporting practices. Conclusions: Perceptions of opaque or unfair decision making on training-program modifications and insufficient feedback were the primary causes for poor athlete TMS adherence. Supporting TMS implementation with a behavioral-change model that targets problem areas could improve buy-in and enable limited resources to be appropriately directed.

AB - Purpose: Poor athlete buy-in and adherence to training-monitoring systems (TMS) can be problematic in elite sport. This is a significant issue, as failure to record, interpret, and respond appropriately to negative changes in athlete well-being and training status may result in undesirable consequences such as maladaptation and/or underperformance. This study examined the perceptions of elite athletes to their TMS and their primary reasons for noncompletion.Methods: Nine national-team sprint athletes participated in semistructured interviews on their perceptions of their TMS. Interview data were analyzed qualitatively, based on grounded theory, and TMS adherence information was collected. Results: Thematic analysis showed that athletes reported their main reason for poor buy-in to TMS was a lack of feedback on their monitoring data from key staff. Furthermore, training modifications made in response to meaningful changes in monitoring data were sometimes perceived to be disproportionate, resulting in dishonest reporting practices. Conclusions: Perceptions of opaque or unfair decision making on training-program modifications and insufficient feedback were the primary causes for poor athlete TMS adherence. Supporting TMS implementation with a behavioral-change model that targets problem areas could improve buy-in and enable limited resources to be appropriately directed.

KW - high performance

KW - athlete feedback

KW - adherence

KW - behaviour change

KW - well-being

UR - https://winchester.elsevierpure.com/en/publications/training-monitoring-engagement-an-evidence-based-approach-in-elit

U2 - 10.1123/ijspp.2018-0098

DO - 10.1123/ijspp.2018-0098

M3 - Article

VL - 14

SP - 99

EP - 104

JO - International Journal of Sports Physiology and Performance

JF - International Journal of Sports Physiology and Performance

SN - 1555-0265

IS - 1

ER -

ID: 18988926