Impact of probiotic supplementation on exercise endurance among non-elite athletes: study protocol for a randomized, placebo-controlled, double-blind, clinical trial.

BACKGROUND: Some probiotics appear to improve athletic performance, endurance, and recovery after intense exercise. Other formulations may provide performance-related benefits via immune and gastrointestinal functions in athletic individuals. However, few formulations have been studied for both types of effects among non-elite athletes. The primary objective of this study is to assess the ergogenic effects of a probiotic on high-intensity endurance running performance in non-elite runners. Secondary objectives include assessment of perceived exertion, blood chemistry, immune and stress biomarkers, cold and flu symptoms, and gastrointestinal health after the probiotic intervention. METHODS: This 9-week randomized, placebo-controlled, double-blind, parallel trial will assess the ergogenic effects of a probiotic (5 billion colony-forming units/day, for 6 weeks) in healthy, non-elite runners (N=32; 18-45 years). Participants will be monitored via daily and weekly questionnaires during the 2-week pre-baseline, 6-week intervention, and 1-week washout. Questionnaires will inquire about activity, muscle soreness, gastrointestinal symptoms, cold and flu symptoms, stool form and frequency, and adverse events. During the pre-baseline visit, maximal oxygen uptake (V̇O2 max) is assessed to set appropriate individualized workload settings for the treadmill time-to-exhaustion endurance tests. These time-to-exhaustion endurance running tests will be completed at an intensity of 85% VO2max at baseline and final visits. During these tests, self-perceived exercise effort will be rated via the Borg Rating of Perceived Exertion scale and finger sticks assessing capillary blood glucose and lactate concentrations will be collected every 3 min. Additional questionnaires will assess diet and motivation to exercise. Body composition will be assessed using air displacement plethysmography at the baseline and final visits. Hypotheses will be tested using two-sided tests, and a linear model and with a type I error rate of α=0.05. Primary and secondary outcomes will be tested by comparing results between the intervention groups, adjusting for baseline values. DISCUSSION: These results will build evidence documenting the role of probiotics on running endurance performance and physiological responses to exercise in non-elite athletes. Understanding the potential mechanisms of probiotic effects and how they mitigate the intestinal or immune discomforts caused by running could provide additional strategy means to help runners improve their performance. TRIAL REGISTRATION NUMBER: ClinicalTrials.gov NCT04588142 . Posted on October 19, 2020. PROTOCOL VERSION: July 2, 2021, version 1.2.

Association of headgear mandate and concussion injury rates in girls' high school lacrosse.

OBJECTIVES: Headgear use is a controversial issue in girls' lacrosse. We compared concussion rates among high school lacrosse players in an American state with a headgear mandate (HM) to states without an HM. METHODS: Participants included high schools with girls' lacrosse programmes in the USA. Certified athletic trainers reported athlete exposure (AE) and injury data via the National Athletic Treatment, Injury and Outcomes Network during the 2019-2021 seasons. The HM cohort was inclusive of high schools from the state of Florida, which mandates the use of ASTM standard F3137 headgear, while the non-HM (NHM) cohort was inclusive of high schools in 31 states without a state-wide HM. Incidence rate ratios (IRRs) and 95% CIs were calculated. RESULTS: 141 concussions (HM: 25; NHM: 116) and 357 225 AEs were reported (HM: 91 074 AEs; NHM: 266 151 AEs) across all games and practices for 289 total school seasons (HM: 96; NHM: 193). Overall, the concussion injury rate per 1000 AEs was higher in the NHM cohort (0.44) than the HM cohort (0.27) (IRR=1.59, 95% CI: 1.03 to 2.45). The IRR was higher for the NHM cohort during games (1.74, 95% CI: 1.00 to 3.02) but not for practices (1.42, 95% CI: 0.71 to 2.83). CONCLUSIONS: These findings suggest a statewide HM for high school girls' lacrosse is associated with a lower concussion rate than playing in a state without an HM. Statewide mandates requiring ASTM standard F3137 headgear should be considered to reduce the risk of concussion.

Impact of COVID on Sports Injury Patterns, Changes in Mental Well-Being, and Strategies to Prepare for Future Pandemics in Sport.

ABSTRACT: This review describes the available evidence of the acute respiratory syndrome coronavirus 2 (SARS-CoV-2, referred to COVID-19) pandemic on musculoskeletal injury patterns and prevalence in athletes. A brief overview of the epidemiology of COVID-19 and prevalence in active populations from youth through professional are provided. Responses to COVID-19 regarding sport participation at regional, national, and international organizations are summarized. Downstream effects of complete or partial training shutdown on injury risk and mental health are discussed. Strategies to maintain athletic potential and overall well-being include maintaining safe access to training facilities and resources, implementation of injury prevention programs, organization of athlete support networks, and incorporation of resilience and coping training.

Social Determinants of Health in Physiatry: Challenges and Opportunities for Clinical Decision Making and Improving Treatment Precision.

Physiatry is a medical specialty focused on improving functional outcomes in patients with a variety of medical conditions that affect the brain, spinal cord, peripheral nerves, muscles, bones, joints, ligaments, and tendons. Social determinants of health (SDH) play a key role in determining therapeutic process and patient functional outcomes. Big data and precision medicine have been used in other fields and to some extent in physiatry to predict patient outcomes, however many challenges remain. The interplay between SDH and physiatry outcomes is highly variable depending on different phases of care, and more favorable patient profiles in acute care may be less favorable in the outpatient setting. Furthermore, SDH influence which treatments or interventional procedures are accessible to the patient and thus determine outcomes. This opinion paper describes utility of existing datasets in combination with novel data such as movement, gait patterning and patient perceived outcomes could be analyzed with artificial intelligence methods to determine the best treatment plan for individual patients in order to achieve maximal functional capacity.