Ellen Kemler1, Kalynda Romeijn2, Ingrid Vriend1, Bionka Huisstede2. 1. a Dutch Consumer Safety Institute (VeiligheidNL) , Amsterdam , The Netherlands. 2. b Rudolf Magnus Institute of Neurosciences, Department of Rehabilitation, Physical Therapy Science & Sports , University Medical Centre Utrecht, Utrecht University , Utrecht , The Netherlands.
Abstract
OBJECTIVES: Training errors are suggested to be an important cause of running-related injuries (RRIs). As most runners train individually, digital coaching using running applications is becoming increasingly popular. However, the quality of these applications is unknown. The aim of the present cross-sectional study was to evaluate the relationship between the use of running applications and RRIs. METHODS: An online questionnaire was used to collect data on running activities of 1,029 runners, their injuries, and the association between the use of running applications and RRIs. Parametric and non-parametric tests for independent samples were used to analyze the baseline characteristics of the participants. Univariate logistic regression analyses and multiple logistic regression analysis (Enter procedure) were used to determine the association between the use of running applications and RRIs, while adjusting for confounding effects. RESULTS: Of all the 1,029 runners included in this study, 31% (n = 319) got injured and 44% (n = 453) used an application in the previous 12 months. Multiple logistic regression analysis showed no statistically significant association between the use of running applications and RRIs. CONCLUSIONS: Based on this study, the use of running applications was not associated with an increased or decreased risk of RRIs. Running applications can be used by runners without any further implications to guide their training activities. However, runners should be aware that the use of predefined running schemes is associated with RRI risk. It is important that following a previous RRI, athletes should be fully recovered before resuming their training sessions as hindrance from a previous RRI is highly associated with the occurrence of a new RRI.
OBJECTIVES: Training errors are suggested to be an important cause of running-related injuries (RRIs). As most runners train individually, digital coaching using running applications is becoming increasingly popular. However, the quality of these applications is unknown. The aim of the present cross-sectional study was to evaluate the relationship between the use of running applications and RRIs. METHODS: An online questionnaire was used to collect data on running activities of 1,029 runners, their injuries, and the association between the use of running applications and RRIs. Parametric and non-parametric tests for independent samples were used to analyze the baseline characteristics of the participants. Univariate logistic regression analyses and multiple logistic regression analysis (Enter procedure) were used to determine the association between the use of running applications and RRIs, while adjusting for confounding effects. RESULTS: Of all the 1,029 runners included in this study, 31% (n = 319) got injured and 44% (n = 453) used an application in the previous 12 months. Multiple logistic regression analysis showed no statistically significant association between the use of running applications and RRIs. CONCLUSIONS: Based on this study, the use of running applications was not associated with an increased or decreased risk of RRIs. Running applications can be used by runners without any further implications to guide their training activities. However, runners should be aware that the use of predefined running schemes is associated with RRI risk. It is important that following a previous RRI, athletes should be fully recovered before resuming their training sessions as hindrance from a previous RRI is highly associated with the occurrence of a new RRI.
Entities:
Keywords:
Injury prevention; behaviour; coaching; exercise; training