Vitamin D Status and Bone Mineral Density in Female Collegiate Dancers and Cheerleaders

Bone mineral density reflects an athlete’s cumulative history of energy availability, physical activity, and menstrual status, as well as nutritional and environmental factors. Although sports with high-impact loading are associated with higher bone mineral density than low-impact or non-impact sports, confounding variables are differences in the athletes’ body size and sport-specific training. The purpose of this study was to determine if bone mineral density (BMD) and vitamin D status are different between two groups of female collegiate athletes who have comparable body size/weight requirements, but who engage in qualitatively different training regimens. Full body, spine and dual femur BMD was assessed by dual energy X-ray absorptiometry (DXA) in members of a university pep-dance team (n = 10) or cheer team (n = 9), ages 18-22. Plasma vitamin D status was assessed by ELIZA. There was no significant difference between the groups for total body BMD (1.23 g/cm2 dance vs 1.22 g/cm2 cheer, P = 0.70), spine BMD (1.39 g/cm2 dance vs 1.36 g/cm2 cheer, P = 0.72) or dual femur BMD (1.20 g/cm2 dance vs 1.11 g/cm2, P = 0.23). Insufficient serum vitamin D status (20-32 ng/mL) was found in 74% of the athletes (27 ± 4 ng/mL, dance and 25 ± 8 ng/mL, cheer). In addition, estimated daily vitamin D and calcium intakes were less than the RDA for both dancers and cheerleaders. Despite nutritional insufficiencies, BMD was not significantly different between the low-impact activity pep dance team and high-impact activity cheer team, suggesting that the type of physical activity was not as important for BMD in these athletes as participating in 20+ hours a week of physical activity, which could have counteracted the negative effects of the nutrient insufficiencies on their bone health

An alternative to warfarin for patients with PE

Consider treating patients with acute pulmonary embolism (PE) with rivaroxaban, a factor Xa inhibitor; it works as well as low-molecular-weight heparin (LMWH) followed by warfarin, but may cause fewer major bleeds. Stength of recommendation: B: Based on a single, nonblinded randomized controlled trial

Examining hope as a transdiagnostic mechanism of change across anxiety disorders and CBT treatment protocols.

Hope is a trait that represents the capacity to identify strategies or pathways to achieve goals and the motivation or agency to effectively pursue those pathways. Hope has been demonstrated to be a robust source of resilience to anxiety and stress and there is limited evidence that, as has been suggested for decades, hope may function as a core process or transdiagnostic mechanism of change in psychotherapy. The current study examined the role of hope in predicting recovery in a clinical trial in which 223 individuals with 1 of 4 anxiety disorders were randomized to transdiagnostic cognitive behavior therapy (CBT), disorder-specific CBT, or a waitlist controlled condition. Effect size results indicated moderate to large intraindividual increases in hope, that changes in hope were consistent across the five CBT treatment protocols, that changes in hope were significantly greater in CBT relative to waitlist, and that changes in hope began early in treatment. Results of growth curve analyses indicated that CBT was a robust predictor of trajectories of change in hope compared to waitlist, and that changes in hope predicted changes in both self-reported and clinician-rated anxiety. Finally, a statistically significant indirect effect was found indicating that the effects of treatment on changes in anxiety were mediated by treatment effects on hope. Together, these results suggest that hope may be a promising transdiagnostic mechanism of change that is relevant across anxiety disorders and treatment protocols.R01 MH090053 - NIMH NIH HHSAccepted manuscrip

Who\u27s your expert? Use of an expert opinion survey to inform development of American Psychiatric Association practice guidelines.

OBJECTIVE: For many clinical questions in psychiatry, high-quality evidence is lacking. Credible practice guidelines for such questions depend on transparent, reproducible, and valid methods for assessing expert opinion. The objective of this study was to develop and demonstrate the feasibility of a method for assessing expert opinion to aid in the development of practice guidelines by the American Psychiatric Association (APA). METHODS: A snowball process initially soliciting nominees from three sets of professional leaders was used to identify experts on a guideline topic (psychiatric evaluation). In a Web-based survey, the experts were asked to rate their level of agreement that specific assessments improve specific outcomes when they are included in an initial psychiatric evaluation. The experts were also asked about their own practice patterns with respect to the doing of the assessments. The main outcome measures are the following: number of nominated experts, number of experts who participated in the survey, and number and nature of quantitative and qualitative responses. RESULTS: The snowball process identified 1,738 experts, 784 (45 %) of whom participated in the opinion survey. Participants generally, but not always, agreed or strongly agreed that the assessments asked about would improve specified outcomes. Participants wrote 716 comments explaining why they might not typically include some assessments in an initial evaluation and 1,590 comments concerning other aspects of the topics under consideration. CONCLUSIONS: The snowball process based on initial solicitation of Psychiatry\u27s leaders produced a large expert panel. The Web-based survey systematically assessed the opinions of these experts on the utility of specific psychiatric assessments, providing useful information to substantiate opinion-based practice guidelines on how to conduct a psychiatric evaluation. The considerable engagement of respondents shows promise for using this methodology in developing future APA practice guidelines

Ultracold atoms in multiple-radiofrequency dressed adiabatic potentials

We present the first experimental demonstration of a multiple-radiofrequency dressed potential for the configurable magnetic confinement of ultracold atoms. We load cold $^{87}$Rb atoms into a double well potential with an adjustable barrier height, formed by three radiofrequencies applied to atoms in a static quadrupole magnetic field. Our multiple-radiofrequency approach gives precise control over the double well characteristics, including the depth of individual wells and the height of the barrier, and enables reliable transfer of atoms between the available trapping geometries. We have characterised the multiple-radiofrequency dressed system using radiofrequency spectroscopy, finding good agreement with the eigenvalues numerically calculated using Floquet theory. This method creates trapping potentials that can be reconfigured by changing the amplitudes, polarizations and frequencies of the applied dressing fields, and easily extended with additional dressing frequencies.Comment: 16 pages, 6 figure

Rare variants contribute disproportionately to quantitative trait variation in yeast.

How variants with different frequencies contribute to trait variation is a central question in genetics. We use a unique model system to disentangle the contributions of common and rare variants to quantitative traits. We generated ~14,000 progeny from crosses among 16 diverse yeast strains and identified thousands of quantitative trait loci (QTLs) for 38 traits. We combined our results with sequencing data for 1011 yeast isolates to show that rare variants make a disproportionate contribution to trait variation. Evolutionary analyses revealed that this contribution is driven by rare variants that arose recently, and that negative selection has shaped the relationship between variant frequency and effect size. We leveraged the structure of the crosses to resolve hundreds of QTLs to single genes. These results refine our understanding of trait variation at the population level and suggest that studies of rare variants are a fertile ground for discovery of genetic effects

Why surplus structure is not superfluous

The idea that gauge theory has `surplus' structure poses a puzzle: in one much discussed sense, this structure is redundant; but on the other hand, it is also widely held to play an essential role in the theory. In this paper, we employ category-theoretic tools to illuminate an aspect of this puzzle. We precisify what is meant by `surplus' structure by means of functorial comparisons with equivalence classes of gauge fields, and then show that such structure is essential for any theory that represents a rich collection of physically relevant fields which are `local' in nature