Tyler Myers
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Tyler Myers has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Chip Wade
Human Movement and High Performance Laboratory, School of Applied Sciences, University of Mississippi , MS 38677
1 shared publication - Corbit Franks
Human Movement & High-Performance Lab, Department of Health, Exercise Science, and Recreation Management, School of Applied Sciences, University of Mississippi, Oxford, MS 38677, USA
1 shared publication - Kaitlyn Armstrong
Human Movement & High-Performance Lab, The University of Mississippi, Oxford, MS 38677, USA
1 shared publication - Melinda Valliant
Department of Nutrition and Hospitality Management, The University of Mississippi, Oxford, MS; The Center for Health and Sports Performance, The University of Mississippi, Oxford, MS
1 shared publication - Nicholas Bosley
Human Movement & High-Performance Lab, The University of Mississippi, Oxford, MS 38677, USA
1 shared publication - R. Andrew Yockey
Department of Public Health, School of Applied Sciences, University of Mississippi
1 shared publication
Latest Publications
- Open Access
Training Load, Mileage, and Perceived Exertion as a Predictive Model of Injury and Illness in Women’s Soccer
This study examined the relationship between training load, mileage, and session rating of perceived exertion (s-RPE) as predictors of injury and illness in Division I women’s soccer players. Twenty-four athletes were monitored over a 13-week season including 69 athlete exposures (49 training sessions and 20 matches). Internal and external load were measured during each athlete exposure. Player injury and illness status were documented daily by medical staff and categorized as healthy, medical attention, or time-loss. Associations between athlete exposures and injury/illness status were analyzed using a mixed-effects ordinal logistic regression model with player ID as a random intercept. A total of 1560 athlete observations were included. Higher daily mileage was associated with increased odds of injury or illness (OR = 1.67, 95% CI: 1.19–2.34). Training load was associated with reduced odds of injury or illness, with each unit increase lowering the odds by 42% (OR = 0.58, 95% CI: 0.41–0.83). Session-RPE was not significantly associated with injury or illness (OR = 0.96, 95% CI: 0.65–1.42). These findings indicate that accumulated mileage elevates injury and illness risk, while structured increases in training load enhance athlete resilience, and reduce injury and illness risk. Monitoring both internal and external workload provides performance staff with a practical approach to optimize training stress, augment recovery, and prepare athletes for the demands of competition in women’s soccer.
Open AccessTraining Load, Mileage, and Perceived Exertion as a Predictive Model of Injury and Illness in Women’s Soccer
This study examined the relationship between training load, mileage, and session rating of perceived exertion (s-RPE) as predictors of injury and illness in Division I women’s soccer players. Twenty-four athletes were monitored over a 13-week season including 69 athlete exposures (49 training sessions and 20 matches). Internal and external load were measured during each athlete exposure. Player injury and illness status were documented daily by medical staff and categorized as healthy, medical attention, or time-loss. Associations between athlete exposures and injury/illness status were analyzed using a mixed-effects ordinal logistic regression model with player ID as a random intercept. A total of 1560 athlete observations were included. Higher daily mileage was associated with increased odds of injury or illness (OR = 1.67, 95% CI: 1.19–2.34). Training load was associated with reduced odds of injury or illness, with each unit increase lowering the odds by 42% (OR = 0.58, 95% CI: 0.41–0.83). Session-RPE was not significantly associated with injury or illness (OR = 0.96, 95% CI: 0.65–1.42). These findings indicate that accumulated mileage elevates injury and illness risk, while structured increases in training load enhance athlete resilience, and reduce injury and illness risk. Monitoring both internal and external workload provides performance staff with a practical approach to optimize training stress, augment recovery, and prepare athletes for the demands of competition in women’s soccer.