OSTRC questionnaire data with binary outcomes derived from a longitudinal study on 24 waterpolo players

doi:10.4121/ee490352-035b-4dc6-9643-efd86c87b993.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/ee490352-035b-4dc6-9643-efd86c87b993
Datacite citation style:
Gomaz, Larisa; Verhagen, Evert (2024): OSTRC questionnaire data with binary outcomes derived from a longitudinal study on 24 waterpolo players. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/ee490352-035b-4dc6-9643-efd86c87b993.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

Data underlying the research of "From injury prediction to risk assessment: latent Markov models for analysing OSTRC questionnaires".


OSTRC questionnaire [1] data derived from a longitudinal study on 24 waterpolo players within the Dutch Olympic monitoring program [2]. The study is carried out through the repeated administration of the OSTRC questionnaire that has been filled in by the athletes on a weekly basis over the 72-week-long follow-up. The data contain athletes' weekly exposure (for different types of training and competition) as well as data on athlete's health complaints.


[1] B. Clarsen, R. Bahr, G. Myklebust, S. H. Andersson, S. I. Docking, M. Drew, C. F. Finch, L. V. Fortington, J. Harøy, K. M. Khan, et al. “Improved reporting of overuse injuries and health problems in sport: an update of the Oslo sport trauma research center questionnaires”. In: British journal of sports medicine 54.7 (2020), pp. 390–396

[2] E. Verhagen, M. Lang, R. Watson, and M. Moen. “Injuries and Illness in Olympic Level Water Polo Athletes–a Three-Season Prospective Study”. In: Dtsch Z Sportmed 72 (2021), pp. 195–202

history
  • 2024-08-16 first online, published, posted
publisher
4TU.ResearchData
format
*.csv
organizations
TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Delft Institute of Applied Mathematics (DIAM);
Amsterdam UMC, Department of Public and Occupational Health

DATA

files (2)