Training and technique choices predict self-reported running injuries: An international study.

Phys Ther Sport

Centre for Sports Research, School of Exercise and Nutrition Sciences, Deakin University, Waurn Ponds, VIC, 3216, Australia.

Published: March 2021

Objectives: The aim of this study was to describe the self-reported injury, training, and running technique choices of regular runners in four international regions.

Design And Setting: 756 participants began an expert derived self-report online survey in Ireland, USA, Hong Kong and Australia.

Participants: 325 participants completed the survey (age = 38 ± 10 years; weight = 68.0 ± 13.1 kg; height = 1.70 ± 0.10 m).

Main Outcome Measures: Descriptive statistics are reported examining injury incidence and location; shoe and orthosis choices; and training and technique practices. A backwards logistic regression was implemented to examine associations between injury and training choices.

Results: 68.3% reported having an injury in the last year. 81.45% of these injuries were believed to be running related. A large variation in training and footwear choices were observed for respondents. The regression (P ≤ 0.001) explained 20% of the variance in injury selection (Nagelkerke R) and was able to identify 73% of cases accurately. Associated injury factors included competitive running, running on more than one surface, younger age, having a lower running age, and a higher proportion of running at an easy intensity.

Conclusions: The high amount of variability in runner's choices highlights the lack of consistent information being presented to them and may be the reason for the high injury incidence.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.ptsp.2020.12.017DOI Listing

Publication Analysis

Top Keywords

training technique
8
technique choices
8
injury training
8
injury incidence
8
running
7
injury
7
training
5
choices
5
choices predict
4
predict self-reported
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!