TY - JOUR
T1 - A step towards understanding the mechanisms of running-related injuries
AU - Malisoux, Laurent
AU - Nielsen, Rasmus Oestergaard
AU - Urhausen, Axel
AU - Theisen, Daniel
N1 - Funding Information:
The present study was financially supported by the National Ministry of Sport , and the National Olympic Committee .
Publisher Copyright:
© 2014 Sports Medicine Australia.
PY - 2015/9/1
Y1 - 2015/9/1
N2 - Objectives: To investigate the association between training-related characteristics and running-related injury using a new conceptual model for running-related injury generation, focusing on the synergy between training load and previous injuries, short-term running experience or body mass index (> or <25kgm-2). Design: Prospective cohort study with a 9-month follow-up. Methods: The data of two previous studies using the same methodology were revisited. Recreational runners (n= 517) reported information about running training characteristics (weekly distance, frequency, speed), other sport participation and injuries on a dedicated internet platform. Weekly volume (dichotomized into <2 h and ≥2 h) and session frequency (dichotomized into <2 and ≥2) were the main exposures because they were considered necessary causes for running-related injury. Non-training-related characteristics were included in Cox regression analyses as effect-measure modifiers. Hazard ratio was the measure of association. The size of effect-measure modification was calculated as the relative excess risk due to interaction. Results: One hundred sixty-seven runners reported a running-related injury. Crude analyses revealed that weekly volume <2 h (hazard ratio = 3.29; 95% confidence intervals = 2.27; 4.79) and weekly session frequency <2 (hazard ratio = 2.41; 95% confidence intervals = 1.71; 3.42) were associated with increased injury rate. Previous injury was identified as an effect-measure modifier on weekly volume (relative excess risk due to interaction = 4.69; 95% confidence intervals = 1.42; 7.95; p= 0.005) and session frequency (relative excess risk due to interaction = 2.44; 95% confidence intervals = 0.48; 4.39; p= 0.015). A negative synergy was found between body mass index and weekly volume (relative excess risk due to interaction = -2.88; 95% confidence intervals = -5.10; -0.66; p= 0.018). Conclusions: The effect of a runner's training load on running-related injury is influenced by body mass index and previous injury. These results show the importance to distinguish between confounding and effect-measure modification in running-related injury research.
AB - Objectives: To investigate the association between training-related characteristics and running-related injury using a new conceptual model for running-related injury generation, focusing on the synergy between training load and previous injuries, short-term running experience or body mass index (> or <25kgm-2). Design: Prospective cohort study with a 9-month follow-up. Methods: The data of two previous studies using the same methodology were revisited. Recreational runners (n= 517) reported information about running training characteristics (weekly distance, frequency, speed), other sport participation and injuries on a dedicated internet platform. Weekly volume (dichotomized into <2 h and ≥2 h) and session frequency (dichotomized into <2 and ≥2) were the main exposures because they were considered necessary causes for running-related injury. Non-training-related characteristics were included in Cox regression analyses as effect-measure modifiers. Hazard ratio was the measure of association. The size of effect-measure modification was calculated as the relative excess risk due to interaction. Results: One hundred sixty-seven runners reported a running-related injury. Crude analyses revealed that weekly volume <2 h (hazard ratio = 3.29; 95% confidence intervals = 2.27; 4.79) and weekly session frequency <2 (hazard ratio = 2.41; 95% confidence intervals = 1.71; 3.42) were associated with increased injury rate. Previous injury was identified as an effect-measure modifier on weekly volume (relative excess risk due to interaction = 4.69; 95% confidence intervals = 1.42; 7.95; p= 0.005) and session frequency (relative excess risk due to interaction = 2.44; 95% confidence intervals = 0.48; 4.39; p= 0.015). A negative synergy was found between body mass index and weekly volume (relative excess risk due to interaction = -2.88; 95% confidence intervals = -5.10; -0.66; p= 0.018). Conclusions: The effect of a runner's training load on running-related injury is influenced by body mass index and previous injury. These results show the importance to distinguish between confounding and effect-measure modification in running-related injury research.
KW - Effect-measure modification
KW - Injury mechanism
KW - Sports injury prevention
KW - Training load monitoring
UR - http://www.scopus.com/inward/record.url?scp=84938695318&partnerID=8YFLogxK
U2 - 10.1016/j.jsams.2014.07.014
DO - 10.1016/j.jsams.2014.07.014
M3 - Article
C2 - 25174773
AN - SCOPUS:84938695318
SN - 1440-2440
VL - 18
SP - 523
EP - 528
JO - Journal of Science and Medicine in Sport
JF - Journal of Science and Medicine in Sport
IS - 5
ER -