This study explored the psychological and sociological motivations of adult female and male obstacle course racers. A qualitative case study approach was used to explore the views, experiences, and motivations of obstacle course racing (OCR) participants. Descriptive statistics and cross tabulation was used to interpret responses to the 297 online questionnaires. A content analysis approach was used to analyze the qualitative data gathered from three focus groups with a total of 20 obstacle course racers. Three theories formed the basis of the study: Self-Determination Theory (SDT), Achievement Goal Theory (AGT), and Social Leaning Theory (SLT). Overall, findings supported previous research regarding motivations to participate in adventure racing and extreme sports. Individuals were guided more by intrinsic motives than extrinsic motives. Important motivations for obstacle course racers included the camaraderie among participants, connecting and socializing with other like-minded people, having fun, and having a physical challenge that allowed them to progress and keep on track with their health goals. Obstacle course racing was perceived as positively impacting participants’ health, mental wellness and their confidence in their physical abilities as well as in other areas of their lives. Findings from this study may inform future interventions to increase participation in OCR or to increase overall physical activity among adults by building on camaraderie, social connection, enjoyment, and self-efficacy.

Human movement is inherently complex, requiring the control and coordination of many neurophysiological and biomechanical degrees-of-freedom, and the extent to which individuals exhibit variation in their movement patterns is captured by the construct of motor variability (MV). MV is being used increasingly to describe movement quality and function among clinical populations and elderly individuals. However, current evidence presents conflicting views on whether increased MV offers benefits or is a hindrance to performance. To better understand the utility of MV for performance prediction, we focused on current research needs in the military domain. Dismounted soldiers, in particular, are expected to perform at a high level in complex environments and under demanding physical conditions. Hence, it is critical to understand what strategies allow soldiers to better adapt to fatigue and diverse environmental factors, and to develop predictive tools for estimating changes in soldier performance. Different aspects of performance such as motor learning, experience, and adaptability to fatigue were investigated when soldiers performed various gait tasks, and gait variability (GV) was quantified using four different types of measures (spatiotemporal, joint kinematics, detrended fluctuation analysis, and Lyapunov exponents). During a novel obstacle course task, we found that frontal plane coordination variability of the hip-knee and knee-ankle joint couples exhibited strong association with rate of learning the novel task, explaining 62% of the variance, and higher joint kinematic variability during the swing phase of baseline gait was associated with faster learning rate. In a load carriage task, GV measures were more sensitive than average gait measures in discriminating between experience and load condition: experienced cadets exhibited reduced GV (in spatiotemporal measures and joint kinematics) and lower long-term local dynamic stability at the ankle, compared to the novice group. In the final study investigating multiple measures of obstacle performance, and variables predictive of changes in performance following intense whole-body fatigue, joint kinematic variability of baseline gait explained 28-59% of the variance in individual performances changes. In summary, these results support the feasibility of anticipating and augmenting task performance based on individual motor variability. This work also provides guidelines for future research and the development of training programs specifically for improving military training, performance prediction, and performance enhancement. / Doctor of Philosophy / All people move with some level of inherent variability, even when doing the same activity, and the extent to which individuals exhibit variation in their movement patterns is captured by the construct of motor variability (MV). MV is being increasingly used to describe movement quality and function among clinical populations and elderly individuals. However, it is still unclear whether increased MV offers benefits or is a hindrance to performance. To better understand the utility of MV for performance prediction, we focused on current research needs in the military domain. Dismounted soldiers, in particular, are expected to perform at a high level in complex environments and under demanding physical conditions. Hence, it is critical to understand what strategies allow soldiers to better adapt to fatigue and diverse environmental factors, and to develop tools that might predict changes in soldier performance. Different aspects of performance were investigated, including learning a new activity, experience, and adaptability to fatigue, and gait variability was quantified through different approaches. When examining how individual learn a novel obstacle course task, we found that certain aspects of gait variability had strong associations with learning rate. In a load carriage task, variability measures were determined to be more sensitive to difference in experience level and load condition compared to typical average measures of gait. Specifically, variability increased with load, and the experienced group was less variable overall and more stable in the long term. Lastly, a subset of gait variability measures were associated with individual differences in fatigue-related changes in performance during an obstacle course. In summary, the results presented here support that it may be possible to both anticipate and enhance task performance based on individual variability. This work also provides guidelines for future research and the development of training programs specifically for improving military training, performance prediction, and performance enhancement.

Author's first name and surname: Michal Škobrtal Title of master gen thesis: Determination of efficiency standards of testing on the CISM obstacle course. Supervizor: PaedDr. Lubomír PŘÍVĚTIVÝ, CSc. Presentation year: 2012 Abstract Objective: To determine efficiency standards of physical performance testing of career soldiers of Armed Forces of the Czech Republic performed on the CISM obstacle course. Methods: Standardized testing and succesive determinantion of standards were used. Equivalent-interval scale which is characterized by constant measuring unit was also used. Due to this scale parametric methods were used to determination of standards: arithmetic average, determinative deviation and median. Results: The result of this thesis is a determination of performance standards of career soldiers of Czech Armed Forces for testing purposes while using CISM obstacle course. Standards are set for both men and women categories and for purpose of professional physical performance testing. These standards are provided in two variants. The first variant is specified for type A and B units and the second variant is specified for type C units. Standards for given category and variant are additionally divided according to dress and gear which is used during testing as follows:  BDU (battle dress uniform);  BDU,...