A Repeated-Measures Examination of Organizational Stressors, Perceived Psychological and Physical Health, and Perceived Performance in Semi-Elite Athletes

Organizational stressors can undermine the psychological well-being and performance of athletes. Less is known, however, about how these relationships unfold over time and whether organizational stressors can impact upon perceived physical health. The current study, therefore, used a repeated-measures design to examine relationships between organizational stressors with components of perceived psychological (anxiety and depression) and physical (illness symptoms and missed training days via illness) ill-health, and perceived performance at the within-person level. Twenty-three semi-elite female rowers completed monthly measures of study variables for six-months. Multilevel models indicated that selection-related stressors positively predicted symptoms of perceived psychological and physical ill-health, and negatively predicted perceived performance. Conversely, coaching stressors negatively predicted symptoms of perceived psychological ill-health. Logistics and operations stressors positively predicted perceived performance, whereas goals and development stressors negatively predicted perceived performance. These findings demonstrate for the first time that, with a repeated-measures design, organizational stressors can predict components of perceived physical and psychological ill-health, and perceived performance at the within-person level in athletes. From a practical perspective, practitioners should incorporate these findings when diagnosing the need for, developing, and optimally implementing primary and secondary stress management interventions.<br/

The higher-level phylogeny of Archosauria (Tetrapoda:Diapsida)

Crown group Archosauria, which includes birds, dinosaurs, crocodylomorphs, and several extinct Mesozoic groups, is a primary division of the vertebrate tree of life. However, the higher-level phylogenetic relationships within Archosauria are poorly resolved and controversial, despite years of study. The phylogeny of crocodile-line archosaurs (Crurotarsi) is particularly contentious, and has been plagued by problematic taxon and character sampling. Recent discoveries and renewed focus on archosaur anatomy enable the compilation of a new dataset, which assimilates and standardizes character data pertinent to higher-level archosaur phylogeny, and is scored across the largest group of taxa yet analysed. This dataset includes 47 new characters (25% of total) and eight taxa that have yet to be included in an analysis, and total taxonomic sampling is more than twice that of any previous study. This analysis produces a well-resolved phylogeny, which recovers mostly traditional relationships within Avemetatarsalia, places Phytosauria as a basal crurotarsan clade, finds a close relationship between Aetosauria and Crocodylomorpha, and recovers a monophyletic Rauisuchia comprised of two major subclades. Support values are low, suggesting rampant homoplasy and missing data within Archosauria, but the phylogeny is highly congruent with stratigraphy. Comparison with alternative analyses identifies numerous scoring differences, but indicates that character sampling is the main source of incongruence. The phylogeny implies major missing lineages in the Early Triassic and may support a Carnian-Norian extinction event.Marshall Scholarship for study in the United KingdomJurassic FoundationUniversity of BristolPaleontological Societ

Genetic mechanisms of critical illness in COVID-19.

Host-mediated lung inflammation is present1, and drives mortality2, in the critical illness caused by coronavirus disease 2019 (COVID-19). Host genetic variants associated with critical illness may identify mechanistic targets for therapeutic development3. Here we report the results of the GenOMICC (Genetics Of Mortality In Critical Care) genome-wide association study in 2,244 critically ill patients with COVID-19 from 208 UK intensive care units. We have identified and replicated the following new genome-wide significant associations: on chromosome 12q24.13 (rs10735079, P = 1.65 × 10-8) in a gene cluster that encodes antiviral restriction enzyme activators (OAS1, OAS2 and OAS3); on chromosome 19p13.2 (rs74956615, P = 2.3 × 10-8) near the gene that encodes tyrosine kinase 2 (TYK2); on chromosome 19p13.3 (rs2109069, P = 3.98 ×  10-12) within the gene that encodes dipeptidyl peptidase 9 (DPP9); and on chromosome 21q22.1 (rs2236757, P = 4.99 × 10-8) in the interferon receptor gene IFNAR2. We identified potential targets for repurposing of licensed medications: using Mendelian randomization, we found evidence that low expression of IFNAR2, or high expression of TYK2, are associated with life-threatening disease; and transcriptome-wide association in lung tissue revealed that high expression of the monocyte-macrophage chemotactic receptor CCR2 is associated with severe COVID-19. Our results identify robust genetic signals relating to key host antiviral defence mechanisms and mediators of inflammatory organ damage in COVID-19. Both mechanisms may be amenable to targeted treatment with existing drugs. However, large-scale randomized clinical trials will be essential before any change to clinical practice

A Repeated-Measures Examination of Organizational Stressors, Perceived Psychological and Physical Health, and Perceived Performance in Semi-Elite Athletes

Organizational stressors can undermine the psychological well-being and performance of athletes. Less is known, however, about how these relationships unfold over time and whether organizational stressors can impact upon perceived physical health. The current study, therefore, used a repeated-measures design to examine relationships between organizational stressors with components of perceived psychological (anxiety and depression) and physical (illness symptoms and missed training days via illness) ill-health, and perceived performance at the within-person level. Twenty-three semi-elite female rowers completed monthly measures of study variables for six-months. Multilevel models indicated that selection-related stressors positively predicted symptoms of perceived psychological and physical ill-health, and negatively predicted perceived performance. Conversely, coaching stressors negatively predicted symptoms of perceived psychological ill-health. Logistics and operations stressors positively predicted perceived performance, whereas goals and development stressors negatively predicted perceived performance. These findings demonstrate for the first time that, with a repeated-measures design, organizational stressors can predict components of perceived physical and psychological ill-health, and perceived performance at the within-person level in athletes. From a practical perspective, practitioners should incorporate these findings when diagnosing the need for, developing, and optimally implementing primary and secondary stress management interventions.<br/

The predictive capacity of the MADYMO ellipsoid pedestrian model for pedestrian ground contact kinematics and injury evaluation

International audiencePedestrian injuries occur in both the primary vehicle contact and the subsequent ground contact. Currently, no ground contact countermeasures have been implemented and no pedestrian model has been validated for ground contact, though this is needed for developing future ground contact injury countermeasures. In this paper, we assess the predictive capacity of the MADYMO pedestrian model in reconstructing six recent pedestrian cadaver ground contact experiments. Whole-body kinematics as well as vehicle and ground contact related HIC and BrIC scores were evaluated. Reasonable results were generally achieved for the timings of the principal collision events, and for the overall ground contact mechanisms. However, the resulting head injury predictions based on the ground contact HIC and BrIC scores showed limited capacity of the model to replicate individual experiments. Sensitivity studies showed substantial influences of the vehicle- pedestrian contact characteristic and certain initial pedestrian joint angles on the subsequent ground contact injury predictions. Further work is needed to improve the predictive capacity of the MADYMO pedestrian model for ground contact injury predictions

Kinematics and dynamics of pedestrian head ground contact: A cadaver study

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Instrumentation of the sacroiliac joint with cylindrical threaded implants: A detailed finite element study of patient characteristics affecting fixation performance

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