355 research outputs found

    Psychometric Properties of the College Athlete Psychological Screening Tool: Validation of the Depression and Anxiety Subscales

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    The aim of the present study was to gain a better understanding of the descriptive psychometric properties of the College Athlete Psychological Screening (CAPS) measure. The CAPS is a newly developed assessment screening measure designed to assess 14 common problem areas for college athletes. For the present investigation, 395 participants completed the 108-item CAPS measure. To establish criterion validity, participants also completed the Beck Depression Inventory (BDI) and the Beck Anxiety Inventory (BAI). The present study had three research questions. Question one discussed the descriptive psychodynamic properties (Cronbach’s alpha, means, and standard deviations) of the 14 CAPS subscales. Question two addressed concurrent validity of the CAPS Depression subscale compared to the Beck Depression Inventory. Question three addressed the concurrent validity of the CAPS Anxiety subscale. Additionally, a Multitrait Multimethod Matrix (MTMM) was utilized to assess the concurrent and divergent validity between the CAPS Depression, CAPS Anxiety, BDI, and BAI. In a post-hoc analyses, items from the CAPS Depression and CAPS Anxiety subscales were combined into a single measure. The new measure had good internal consistency and great concurrent and divergent validity with the BDI and BAI suggesting the CAPS Depression and Anxiety subscales combined are a more valid and reliable measure of depressive symptomology compared to the BDI than either scale alone. The results of the present study provide a framework for future investigation with the CAPS measure

    Sport Fans\u27 Consumption Behaviors Following the COVID-19 Pandemic and Return to In-Person Spectating

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    The purpose of the present investigation was to examine consumption of sporting events after sport leagues returned from the COVID-19 pandemic. A sample of 329 college-aged sport fans were recruited for the study. Participants were administered measures to assess their sport fandom, sport fandom spectator identification, sport rivalry fan perception, and behavioral consumption of sport. Data was obtained between October 2020 to January 2021 as sport leagues returned to play. Results from the current study indicated that current sport consumption is at a similar level as it was pre-pandemic. However, the methods of consumption were inconsistent. Participants in the present investigation stated they were watching sports on television less than they were before the pandemic. Sport fans also indicated they were attending more games in person. Sport fandom was also the strongest predictor of sport-consumption behavior. Team identification and rivalry also accounted for modest variations of consumption behaviors. Future studies could explore future levels of sport fans in person attendance as sport leagues continue to return from COVID-19. Additionally, future work could explore other conditions in which team sport fandom is a strong predictor of sport consumption behaviors

    Sizing Up Worker Center Income (2008-2014): A Study of Revenue Size, Stability, and Stream

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    Since the publication of Janice Fine’s path-breaking book, Worker Centers: Communities at the Edge o f the Dream in 2006, scholars and commentators on the left and the right of the political spectrum have grappled with how to characterize these emergent worker organizations on the US labor relations scene. This chapter deepens our understanding of the nature of worker centers by examining the funding trends that underlay the wide range of experimental organizing and advocacy strategies highlighted in other chapters of this volume. Undoubtedly, to emerge and survive, these organizations need money (Bobo and Pabellon 2016). But how financially stable are worker centers? How big are they? Where does the funding come from? How do they compare to labor unions? To address some of these questions, we compiled a large collection of available data to complete the first systematic empirical analysis of worker center funding across multiple years (2008 through 2014)

    Sizing Up Worker Center Income (2008-2014): A Study of Revenue Size, Stability, and Streams

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    [Excerpt] Since the publication of Janice Fine’s path-breaking book, Worker Centers: Communities at the Edge of the Dream in 2006, scholars and commentators on the left and the right of the political spectrum have grappled with how to characterize these emergent worker organizations on the US labor relations scene. This chapter deepens our understanding of the nature of worker centers by examining the funding trends that underlay the wide range of experimental organizing and advocacy strategies highlighted in other chapters of this volume. Undoubtedly, to emerge and survive, these organizations need money (Bobo and Pabellon 2016). But how financially stable are worker centers? How big are they? Where does the funding come from? How do they compare to labor unions? To address some of these questions, we compiled a large collection of available data to complete the first systematic empirical analysis of worker center funding across multiple years (2008 through 2014)

    Supervised machine learning algorithms used to predict post-surgical outcomes following anterior surgical fixation of odontoid fractures

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    Background: Odontoid fractures have a high mortality rate, and numerous classification systems have previously predicted surgical outcomes with mixed consensus. We generated a machine learning (ML) construct to predict post-operative adverse events following anterior (ORIF) of odontoid fractures. Methods: 266 patients from the American college of surgeons-national surgical quality improvement program (ACS-NSQIP) with anterior ORIF (CPT 22318) of odontoid fractures from 2008-2018 were analyzed using ML algorithms random forest classifier (RF), gradient boosting classifier (GB), support vector machine classifier (SVM), Gaussian Naive Bayes classifier (GNB), and multi-layer perceptron classifier (MLP), and were compared to logistic regression classifier (LR). Algorithms predicted increased length of stay (LOS), need for transfusion (Transf), non-home discharge (NHD), and any adverse event (AAE). Permutation feature importance (PFI) identified risk factors. Results: ML algorithms outperformed LR. The average AUC for predicting Transf was 0.635 (accuracy=77.4%), extended LOS=0.652 (accuracy 59.6%), NHD 0.788 (accuracy=71.9%) and AAE 0.649 (accuracy 68.1%). GB performed highest for Transf (AUC=0.861), identifying operative time (PFI 0.253, p=0.016). GB and RF performed equally for NHD (AUC=0.819), highlighting preoperative hematocrit (PFI=0.157, p<0.001). GB predicted AAE (AUC=0.720) also identifying preoperative hematocrit (PFI=0.112, p<0.001). RF predicted extended LOS (AUC=0.669) highlighting preoperative hematocrit (PFI=0.049, p<0.001). Conclusions: ML outperformed LR, successfully predicting Transf, extended LOS, NHD, and AAE for anterior ORIF of odontoid fractures. Our construct may complement conventional risk stratification to reduce adverse outcomes and excess cost

    S-Nitrosation of Protein Phosphatase 1 Mediates Alcohol-Induced Ciliary Dysfunction

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    Alcohol use disorder (AUD) is a strong risk factor for development and mortality of pneumonia. Mucociliary clearance, a key innate defense against pneumonia, is perturbed by alcohol use. Specifically, ciliated airway cells lose the ability to increase ciliary beat frequency (CBF) to β-agonist stimulation after prolonged alcohol exposure. We previously found that alcohol activates protein phosphatase 1 (PP1) through a redox mechanism to cause ciliary dysfunction. Therefore, we hypothesized that PP1 activity is enhanced by alcohol exposure through an S-nitrosothiol-dependent mechanism resulting in desensitization of CBF stimulation. Bronchoalveolar S-nitrosothiol (SNO) content and tracheal PP1 activity was increased in wild-type (WT) mice drinking alcohol for 6-weeks compared to control mice. In contrast, alcohol drinking did not increase SNO content or PP1 activity in nitric oxide synthase 3-deficient mice. S-nitrosoglutathione induced PP1-dependent CBF desensitization in mouse tracheal rings, cultured cells and isolated cilia. In vitro expression of mutant PP1 (cysteine 155 to alanine) in primary human airway epithelial cells prevented CBF desensitization after prolonged alcohol exposure compared to cells expressing WT PP1. Thus, redox modulation in the airways by alcohol is an important ciliary regulatory mechanism. Pharmacologic strategies to reduce S-nitrosation may enhance mucociliary clearance and reduce pneumonia prevalence, mortality and morbidity with AUD

    Mechanism for a next-to-lowest lying scalar meson nonet

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    Recent work suggests the existence of a non-conventional lowest-lying scalar nonet containing the a0(980). Then the a0(1450) and also the K0*(1430) are likely candidates to belong to a conventional p-wave qqˉq \bar q nonet. However a comparison of their properties with those expected on this basis reveals a number of puzzling features. It is pointed out that these puzzles can be resolved in a natural and robust way by assuming a ``bare'' conventional p-wave scalar qqˉq \bar q nonet to mix with a lighter four quark qqqˉqˉqq \bar q \bar q scalar nonet to form new ``physical'' states. The essential mechanism is driven by the fact that the isospinor is lighter than the isovector in the unmixed qqqˉqˉqq \bar q \bar q multiplet.Comment: 22 pages, 6 figure

    Significance of Elevated Blood Metal Ion Levels in Patients with Metal-on-Metal Prostheses: An Evaluation of Oxidative Stress Markers

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    It is widely known that cobalt and chromium ions can enhance the production of reactive oxygen species, known to be damaging to cells by disturbing their redox status and then generating oxidative stress. The aim of the present study was to determine if increased metal ion levels induce a state of oxidative stress in patients with metal-on-metal (MM) hip arthroplasty. Results indicated that there was no significant difference in the concentration of oxidative stress markers (total antioxidants, peroxides, and nitrated proteins) in the patients with MM bearings compared to patients without prostheses. The activity antioxidant enzymes was stable (catalase and glutathione peroxidase) or slightly decreased (superoxide dismutase and heme oxygenase-1) over time. This work is the first to determine the biological effects of metal ions released from MM hip implants with regards to mid-term systemic oxidative stress and showed that the increased levels of Co and Cr ions are not associated with significant oxidative stress damage in the plasma of patients with these implants

    Prime movers : mechanochemistry of mitotic kinesins

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    Mitotic spindles are self-organizing protein machines that harness teams of multiple force generators to drive chromosome segregation. Kinesins are key members of these force-generating teams. Different kinesins walk directionally along dynamic microtubules, anchor, crosslink, align and sort microtubules into polarized bundles, and influence microtubule dynamics by interacting with microtubule tips. The mechanochemical mechanisms of these kinesins are specialized to enable each type to make a specific contribution to spindle self-organization and chromosome segregation
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