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Feasibility and usability of GPS data in exploring associations between training load and running-related knee injuries in recreational runners

BACKGROUND: The purpose of the present study was to explore the feasibility of collecting GPS data and the usability of GPS data to evaluate associations between the training load and onset of running-related knee injuries (RRKIs). METHODS: Participants of the INSPIRE-trial, a randomized-controlled...

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Autores principales: Cloosterman, Kyra L. A., Fokkema, Tryntsje, de Vos, Robert-Jan, van Oeveren, Ben, Bierma-Zeinstra, Sita M. A., van Middelkoop, Marienke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9052652/
https://www.ncbi.nlm.nih.gov/pubmed/35484612
http://dx.doi.org/10.1186/s13102-022-00472-8
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author Cloosterman, Kyra L. A.
Fokkema, Tryntsje
de Vos, Robert-Jan
van Oeveren, Ben
Bierma-Zeinstra, Sita M. A.
van Middelkoop, Marienke
author_facet Cloosterman, Kyra L. A.
Fokkema, Tryntsje
de Vos, Robert-Jan
van Oeveren, Ben
Bierma-Zeinstra, Sita M. A.
van Middelkoop, Marienke
author_sort Cloosterman, Kyra L. A.
collection PubMed
description BACKGROUND: The purpose of the present study was to explore the feasibility of collecting GPS data and the usability of GPS data to evaluate associations between the training load and onset of running-related knee injuries (RRKIs). METHODS: Participants of the INSPIRE-trial, a randomized-controlled trial on running injury prevention, were asked to participate in this study. At baseline, demographic variables were collected. Follow-up questionnaires assessed information on RRKIs. Participants with a new reported RRKI and uninjured participants were sent a GPS export request. Weekly GPS-based training distances were used to calculate Acute:Chronic Workload Ratios (ACWRs). RESULTS: A total of 240 participants (62.7%) tracked their running training sessions with the use of a GPS-enabled device or platform and were willing to share their GPS data. From the participants (N = 144) who received a GPS export request, 50.0% successfully shared their data. The majority (69.4%) of the shared GPS data were usable for analyses (N = 50). GPS data were used to present weekly ACWRs of participants with and without an RRKI eight weeks prior to RRKI onset or running event. CONCLUSIONS: It seems feasible to collect GPS data from GPS-enabled devices and platforms used by recreational runners. The results indicate that GPS data is usable to calculate weekly ACWRs to evaluate associations between training load and onset of RRKIs in recreational runners. Therefore, GPS-based ACWR measures can be used for future studies to evaluate associations between training load and onset of RRIs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13102-022-00472-8.
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spelling pubmed-90526522022-04-30 Feasibility and usability of GPS data in exploring associations between training load and running-related knee injuries in recreational runners Cloosterman, Kyra L. A. Fokkema, Tryntsje de Vos, Robert-Jan van Oeveren, Ben Bierma-Zeinstra, Sita M. A. van Middelkoop, Marienke BMC Sports Sci Med Rehabil Research BACKGROUND: The purpose of the present study was to explore the feasibility of collecting GPS data and the usability of GPS data to evaluate associations between the training load and onset of running-related knee injuries (RRKIs). METHODS: Participants of the INSPIRE-trial, a randomized-controlled trial on running injury prevention, were asked to participate in this study. At baseline, demographic variables were collected. Follow-up questionnaires assessed information on RRKIs. Participants with a new reported RRKI and uninjured participants were sent a GPS export request. Weekly GPS-based training distances were used to calculate Acute:Chronic Workload Ratios (ACWRs). RESULTS: A total of 240 participants (62.7%) tracked their running training sessions with the use of a GPS-enabled device or platform and were willing to share their GPS data. From the participants (N = 144) who received a GPS export request, 50.0% successfully shared their data. The majority (69.4%) of the shared GPS data were usable for analyses (N = 50). GPS data were used to present weekly ACWRs of participants with and without an RRKI eight weeks prior to RRKI onset or running event. CONCLUSIONS: It seems feasible to collect GPS data from GPS-enabled devices and platforms used by recreational runners. The results indicate that GPS data is usable to calculate weekly ACWRs to evaluate associations between training load and onset of RRKIs in recreational runners. Therefore, GPS-based ACWR measures can be used for future studies to evaluate associations between training load and onset of RRIs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13102-022-00472-8. BioMed Central 2022-04-28 /pmc/articles/PMC9052652/ /pubmed/35484612 http://dx.doi.org/10.1186/s13102-022-00472-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Cloosterman, Kyra L. A.
Fokkema, Tryntsje
de Vos, Robert-Jan
van Oeveren, Ben
Bierma-Zeinstra, Sita M. A.
van Middelkoop, Marienke
Feasibility and usability of GPS data in exploring associations between training load and running-related knee injuries in recreational runners
title Feasibility and usability of GPS data in exploring associations between training load and running-related knee injuries in recreational runners
title_full Feasibility and usability of GPS data in exploring associations between training load and running-related knee injuries in recreational runners
title_fullStr Feasibility and usability of GPS data in exploring associations between training load and running-related knee injuries in recreational runners
title_full_unstemmed Feasibility and usability of GPS data in exploring associations between training load and running-related knee injuries in recreational runners
title_short Feasibility and usability of GPS data in exploring associations between training load and running-related knee injuries in recreational runners
title_sort feasibility and usability of gps data in exploring associations between training load and running-related knee injuries in recreational runners
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9052652/
https://www.ncbi.nlm.nih.gov/pubmed/35484612
http://dx.doi.org/10.1186/s13102-022-00472-8
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