Background: Currently, body composition (BC) assessment is usually performed to diagnose disease states and accurately estimate certain types of tissues. In athletes, performing BC assessments helps gauge training and nutrition programs to see if they are adequately meeting the athlete’s needs to improve performance. Annual Dual Energy X-ray Absorptiometry (DXA) scans before the start of an athlete’s season can help identify an athlete’s preparedness or health before training begins. Objective: To assess the preseason BC of four collegiate sports: Men’s basketball, men’s baseball, women’s volleyball, and women’s soccer, for Fat Mass (FM), bone mineral density BMD), Fat-Free Mass (FFM), and visceral adipose tissue (VAT). Methods: DXA (Lunar iDXA, GE Healthcare) scans were performed before the start of pre-season training for Men’s Basketball, Baseball, Women’s Volleyball, and Women’s Soccer. End-season DXA scans were performed after the end of the regular season for Men’s Basketball and Baseball athletes. Visceral Adipose Tissue was measured using CoreScan software provided by GE and Fat Mass Index (FMI) and Fat-Free Mass Index (FFMI) were calculated from scanned values. Results: Between the various sports, there were several significant differences that were apparent. Height and percentage of Fat Mass (%BF) were significantly different between all sports except Women’s Volleyball and Women’s Soccer. BMI, VAT, and FFMI were significantly different between males and females. Changes over a season showed increased BMD in Men’s Basketball (2.79 to 2.99 Z-score, pre to end of season scan respectively; p < 0.001). No other observations were noticed to be significant. Conclusions: Sports-specific training and sex have large influences on the body composition of athletes. FMI and FFMI are two indices that may have a stronger indication to health than parameters considered for those who are sedentary and non-active. Female athletes have little to no amounts of VAT and this warrants further investigation.

Soccer players change direction repeatedly throughout a game, making agility an important component of their performance. The purpose of this project was to identify how anatomical and physical characteristics influence agility performance among soccer players. The influences of anthropometry, strength, and power on agility performance in soccer players were investigated. The participants were NCAA Division I soccer players (N = 65). Anthropometric measures included height, body mass, percent body fat, lean body mass. Strength was evaluated using an isometric mid-thigh pull, and power was measured by vertical jumps. In correlation analysis, agility performance showed a statistically significant correlation (p<0.05) with peak power (PP) from 0kg and 20kg counter-movement jumps (r=-.379 & r=-.364 respectively) for the male players. Also for the males, percent body fat showed significant correlations (p<0.05) with Average 2 (r=-.438), 3 (r=-.411), and All (r=-.436). I conclude that the anthropometric measures evaluated have little influence on agility performance.

Objective: A scoping review was employed to consolidate what is currently being studied and reported on concerning interactions with smartphone devices and correlated negative health-outcomes, specifically within the college student population. We are specifically concerned with this population due to the unique demands of technology use coupled with free time use of smartphone devices. Information such as study focus, study design, and summarized results are be provided within this compilation of available data. Results: The existing data findings are heavily skewed in favor of a positive correlation between smartphone use and negative health-outcomes. Sampling 17,069 total participants across 41 studies, which utilized 36 various tools and scales in at least 4 different study designs, only 2 articles found a lack of correlative evidence for negative health-outcomes within this population. Designs were commonly cross-sectional, which can only assign correlation and not causation. The top scales utilized were the Neck Disability Index (NDI), the Nordic Musculoskeletal Questionnaire (NMQ), and the Smartphone Addiction Scale (SAS-SV). Conclusions: Due to the variable nature of Smartphone use and lack of gold standard tools to clearly define, measure, and intervene in this area of study, goals to create and apply such standards are imperative in securing a high level of understanding to contribute towards an improved Health-Related Quality of Life for this population. Correlative findings are currently what has been found to be available. There is a critical lack of temporality within available work as a result. Causative findings are required to fully grasp and rectify the problems surrounding smartphone overuse. Note that the oldest article included was published in 2014 with a slow increase in volume of work leading into 2024, which is a positive trend in concern but is still not enough to fully understand the scope of risks involved.

Correct muscular activation of the body segments during an overhand throw is achieved when movement originates in the larger and more proximal legs and trunk and moves sequentially to the smaller, distal segments of the shoulder and arm. This sequence permits angular velocity to transfer progressively through the throw as part of an open kinetic chain. The athlete can summate angular velocity and segmental forces only if he is able to create a separation between the body segments during the movement pattern, and this separation is thus essential to effective segmental sequencing for activation of the trunk muscles to occur separately from distal segment motion. Limited mobility of the shoulder and scapula during the kinematic sequence will limit the ability of that segment to receive and contribute to the angular velocity of its proximal neighbors and to apply its own muscle torque to the throwing implement. This may result in compensatory motion of the proximal muscle groups to meet the demands placed on the body. To establish a link between compensatory activation of the trunk muscles and mobility in the rotator cuff and to apply this relationship to the pattern of the overhand throw, activity in the latissimus dorsi and external oblique/quadratus lumborum muscles was measured using surface electromyography in 40 college-age participants during arm flexion and lateral shoulder rotation. Muscle activation was recorded both before and after mobilization of relevant throwing muscles through targeted functional exercise. Results showed no significant change but suggested a general decrease in the level of peak muscle activation after participants engaged shoulder exercises. This is indicative of a downward trend in compensatory trunk activation during the initiation of shoulder motion. An increase in overall trunk muscle activity was also observed after exercise, which may imply a simultaneous engagement of the proximal throwing muscles in response to shoulder motion.

<p>All images in this document may not be produced without the expressed written consent of the author.</p> / <p>The innovative research method of “body mapping” was used in this study with geriatric inpatients receiving daily hæmodialysis therapy for end-stage renal disease at Toronto Rehabilitation Institute.</p> <p>Five people took part in this study; three participants completed all study phases. They created three body maps each and took part in one follow up, semi-structured interview to share their experiences of body mapping. Two themes were drawn from the data: (1) body mapping gives patients a voice to communicate their experiences in the dialysis unit; and (2) body mapping makes visible participants’ illness adjustment patterns, and levels of connection, or disconnection in the dialysis unit.</p> <p>Based on the ways body mapping benefitted participants in this study, it is reasonable to suggest that this visual communication tool could be useful in other research settings, and as a clinical tool to support patients’ attention to their bodies and their interactions with healthcare providers.</p> / Master of Arts (MA)