Kinetic and Spatiotemporal Characteristics of Running During Regular Training Sessions for Collegiate Male Distance Runners Using Shoe-Based Wearable Sensors
- PMID: 35834715
- PMCID: PMC11215647
- DOI: 10.4085/1062-6050-0703.21
Kinetic and Spatiotemporal Characteristics of Running During Regular Training Sessions for Collegiate Male Distance Runners Using Shoe-Based Wearable Sensors
Abstract
Context: Assessment of running mechanics has traditionally been conducted in laboratory settings; the advancement of wearable technology permits data collection during outdoor training sessions. Exploring changes in running mechanics across training-session types may assist runners, coaches, and sports medicine clinicians in improving performance and managing the injury risk.
Objective: To examine changes in running mechanics on the basis of routine training-session types.
Design: Descriptive observational study.
Setting: Field based, university.
Methods: Running mechanics data (ie, impact g, stride length, braking g, total shock g, cadence, and ground contact time) for National Collegiate Athletic Association Division I distance runners (n = 20 men) were collected using RunScribe sensors mounted to the laces during training sessions (long run [LR], interval run [IR], or recovery run [RR]) during a 1-week period.
Results: Repeated-measures analysis of covariance with Greenhouse-Geisser correction and training-session pace as a covariate indicated no statistically significant differences in spatiotemporal or kinetic measures across the 3 training-session types. Cadence and stride length were inversely related in all training sessions (LR: r = -0.673, P = .004; IR: r = -0.893, P < .001; RR: r = -0.549, P = .023). Strong positive correlations were seen between impact g and total shock in all training sessions (LR: r = 0.894, P < .001; IR: r = 0.782, P = < .001; RR: r = 0.922, P < .001). Ground contact time increased with stride length during LR training sessions (r = 0.551, P = .027) and decreased with braking g in IR training sessions (r = -0.574, P = .016) and cadence in RR training sessions (r = -0.487, P = .048).
Conclusions: Running mechanics in collegiate distance runners were not statistically different among training-session types when training-session pace was controlled. The use of wearable technology provides a tool for obtaining necessary data during overland training to inform training and program design.
Keywords: injury prevention; running mechanics; wearable technology.
© by the National Athletic Trainers' Association, Inc.
Similar articles
-
Increased Contact Time and Strength Deficits in Runners With Exercise-Related Lower Leg Pain.J Athl Train. 2020 Dec 1;55(12):1247-1254. doi: 10.4085/1062-6050-0514.19. J Athl Train. 2020. PMID: 33064822 Free PMC article.
-
Biomechanical changes identified during a marathon race among high-school aged runners.Gait Posture. 2024 Feb;108:44-49. doi: 10.1016/j.gaitpost.2023.11.009. Epub 2023 Nov 14. Gait Posture. 2024. PMID: 37980834
-
Biomechanical differences and variability during sustained motorized treadmill running versus outdoor overground running using wearable sensors.J Biomech. 2025 Jan;178:112443. doi: 10.1016/j.jbiomech.2024.112443. Epub 2024 Nov 27. J Biomech. 2025. PMID: 39626380
-
Association Between Temporal Spatial Parameters and Overuse Injury History in Runners: A Systematic Review and Meta-analysis.Sports Med. 2020 Feb;50(2):331-342. doi: 10.1007/s40279-019-01207-5. Sports Med. 2020. PMID: 31643019
-
Wearables for Running Gait Analysis: A Systematic Review.Sports Med. 2023 Jan;53(1):241-268. doi: 10.1007/s40279-022-01760-6. Epub 2022 Oct 15. Sports Med. 2023. PMID: 36242762 Free PMC article.
Cited by
-
Parameterization of Biomechanical Variables through Inertial Measurement Units (IMUs) in Occasional Healthy Runners.Sensors (Basel). 2024 Mar 29;24(7):2191. doi: 10.3390/s24072191. Sensors (Basel). 2024. PMID: 38610402 Free PMC article.
-
Effects of Task Interference on Kinematics and Dual-Task Cost of Running in Early Childhood.Sensors (Basel). 2024 Feb 27;24(5):1534. doi: 10.3390/s24051534. Sensors (Basel). 2024. PMID: 38475070 Free PMC article.
References
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources