1,012 research outputs found

    Examination of the Cumulative Risk Assessment and Nutritional Profiles among College Ballet Dancers

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    This study examined female collegiate ballet dancers\u27 ( = 28) Female Athlete Triad (Triad) risk via the Cumulative Risk Assessment (CRA) and nutritional profiles (macro- and micronutrients; = 26). The CRA identified Triad return to play criteria (RTP: Full Clearance, Provisional Clearance, or Restricted/Medical Disqualified) by assessing eating disorder risk, low energy availability, menstrual cycle dysfunction, and low bone mineral density. Seven-day dietary assessments identified any energy imbalances of macro- and micronutrients. Ballet dancers were identified as low, within normal, or high for each of the 19 nutrients assessed. Basic descriptive statistics assessed CRA risk classification and dietary macro- and micronutrient levels. Dancers averaged 3.5 ± 1.6 total score on the CRA. Based on these scores, the RTP outcomes revealed Full Clearance 7.1%, = 2; Provisional Clearance 82.1%, = 23; and Restricted/Medical Disqualification 10.7%, = 3. Dietary reports revealed that 96.2% ( = 25) of ballet dancers were low in carbohydrates, 92.3% ( = 24) low in protein, 19.2% ( = 5) low in fat percent, 19.2% ( = 5) exceeding saturated fats, 100% ( = 26) low in Vitamin D, and 96.2% ( = 25) low in calcium. Due to the variability in individual risks and nutrient requirements, a patient-centered approach is a critical part of early prevention, evaluation, intervention, and healthcare for the Triad and nutritional-based clinical evaluations

    The infrared imaging spectrograph (IRIS) for TMT: the science case

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    The InfraRed Imaging Spectrograph (IRIS) is a first-light instrument being designed for the Thirty Meter Telescope (TMT). IRIS is a combination of an imager that will cover a 16.4" field of view at the diffraction limit of TMT (4 mas sampling), and an integral field unit spectrograph that will sample objects at 4-50 mas scales. IRIS will open up new areas of observational parameter space, allowing major progress in diverse fields of astronomy. We present the science case and resulting requirements for the performance of IRIS. Ultimately, the spectrograph will enable very well-resolved and sensitive studies of the kinematics and internal chemical abundances of high-redshift galaxies, shedding light on many scenarios for the evolution of galaxies at early times. With unprecedented imaging and spectroscopy of exoplanets, IRIS will allow detailed exploration of a range of planetary systems that are inaccessible with current technology. By revealing details about resolved stellar populations in nearby galaxies, it will directly probe the formation of systems like our own Milky Way. Because it will be possible to directly characterize the stellar initial mass function in many environments and in galaxies outside of the the Milky Way, IRIS will enable a greater understanding of whether stars form differently in diverse conditions. IRIS will reveal detailed kinematics in the centers of low-mass galaxies, allowing a test of black hole formation scenarios. Finally, it will revolutionize the characterization of reionization and the first galaxies to form in the universe.Comment: to appear in Proc. SPIE 773

    The Accuracy of Recalled versus Measured Pre-Pregnancy Weight for the Calculation of Pre-Pregnancy Body Mass Index

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    Background: In 2009, the Institute of Medicine (IOM) published gestational weight gain (GWG) guidelines with the goal of optimizing maternal and fetal outcomes. GWG recommendations are specific to pre-pregnancy body mass index (BMI): 28-40 lbs for underweight (UW; BMI2), 25-35 lbs for normal weight (NW; 18.5≤BMI/m2), 15-25 lbs for overweight (OW; 25 ≤BMI/m2), and 11-20 lbs for obese (OB; BMI≥30 kg/m2) women. With upwards of 50% of pregnancies in the U.S. unplanned, measured pre-pregnancy weight is often unavailable in clinical and research settings. Evaluating the accuracy of recalled pre-pregnancy weight early in prenatal care is important in order to establish accuracy of pre-pregnancy BMI calculations in order to counsel about GWG accurately. Objective: To examine differences in recalled versus measured pre-pregnancy weight and to examine factors associated with accuracy of recalled weights. Methods: Medical record review of 1,998 randomly selected pregnancies. Eligible women received prenatal care in faculty and resident clinics at UMass Memorial Health Care (UMMHC), delivered between January 2007 and December 2012, and had available both: (1) a measured weight within one year of conception and (2) a pre-pregnancy weight self-reported at first prenatal visit. Data were obtained from the UMMHC paper or electronic prenatal record and the Allscripts EMR. We calculated the difference in weights as recalled pre-pregnancy weight minus most recent measured weight within one year of conception. Subjects were excluded if they received care at a non-faculty or non-resident practice, charts not available after three separate retrieval attempts, both weights of interest not available, or if measured weight occurred at a prenatal visit for a prior pregnancy. For women with more than one pregnancy during the study time frame, one was randomly selected for inclusion in the analytic data set. Results: Of the 1,998 pregnancy charts reviewed, 400 records met eligibility criteria and were included in this analysis. Women were mean age 29.7 (SD: 6.2) years, 69.3% multigravida, 64.4% non-Hispanic white, 65.2% married, and 62.4% had a college or greater education. Based on recalled weight, 3.3% of women were underweight, 46.6% were normal weight, 25.9% overweight, and 24.2% obese. 63% received care in the faculty obstetric clinic. Recorded recalled weights were mean 2.4 (SD: 11.1) pounds lower than measured pre-pregnancy weight. This difference did not differ by age, location of care, pre-pregnancy BMI, marital status, race/ethnicity, primary language, gravity, education, or time between measured weight and conception, in unadjusted and adjusted models. For 88.7% of women, calculating pre-pregnancy BMI based on weight measured up to a year prior to conception or based on recalled pre-pregnancy weight reported at the first prenatal visit resulted in the same classification of pre-pregnancy BMI. Conclusion: Prenatal care providers may calculate pre-pregnancy BMIs using recalled pre-pregnancy weights early in prenatal care and use such calculated BMIs to accurately provide GWG recommendations regardless of demographic variables, gravity, or location of care

    Demographic Characteristics Associated with the Presence of Recalled and Measured Prepregnancy Weights

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    Background: Gestational weight gain within prepregnancy BMI-specific Institute of Medicine (IOM) recommended ranges are associated with good outcomes for both mother and baby. Availability of measured prepregnancy weight, recalled prepregnancy weight or measured weight at first prenatal visit if the former two weights are not available, influences the accuracy of provider recommendations for gestational weight gain. Objective: The purpose of this study is to examine demographic characteristics associated with the presence of recalled prepregnancy weight and measured prepregnancy weight in the prenatal care medical record. Methods: Medical record review of 1,998 randomly selected pregnancies, of which 1,911 met inclusion criteria of delivery between January 2007 and December 2012 and receipt of prenatal care in faculty and resident clinic sites at UMass Memorial Health Care (UMMHC). Subjects\u27 paper prenatal chart and electronic record (AllScripts and QS prenatal EMR) were fully abstracted if available and contained both: (1) a recorded measured weight within one year of conception, and (2) a self-reported prepregnancy weight obtained at first prenatal visit. Additionally, exclusion criteria included those pregnancies with only prenatal weights recorded one year prior to conception for index pregnancy. For women with multiple pregnancies during the study time period, one pregnancy was randomly selected for inclusion in study analyses. Demographic data was abstracted for all available charts regardless of presence or absence of weights of interest. Demographic characteristics considered were age (15-29, 20-24, 25-29, 30-34, 35+ years), prepregnancy BMI calculated based on recalled height and weight (underweight: BMI2, normal weight: 18.5≤ BMI/m2, overweight: 25≤BMI/m2, and obese: 30 kg/m2≤BMI), race/ethnicity (non-Hispanic white vs. other race/ethnicity), marital status (not married vs. married), primary language (non-English vs. English), gravidity (1, 2, 3+), education (high school diploma or less, some college, 4 year college or more) and prenatal care site (faculty vs. resident obstetric clinic). Logistic regressions were performed to calculate crude and adjusted odds ratios (ORs) with 95% confidence intervals (CIs) and adjusted analyses controlled for demographics. Results: Of the 1911 pregnancies meeting initial inclusion criteria, 1711 (89.5%) had charts available for abstraction; fifty-three subjects had multiple pregnancies of which only one was included in analyses resulting in an analytic sample of 1656 pregnancies. Of these, 511 (30.9%) were missing a recalled prepregnancy weight at first prenatal visit, 711 (42.9%) had the recalled prepregnancy weight but did not have a measured weight; and only 434 (26.2%) had both weights of interest. Overweight women had decreased odds of having a recalled weight compared to women of normal weight (aOR 0.75; 95% CI 0.56-1.00). Additionally, women with ≥4 years of college compared to those with ≤ high school diploma (aOR 0.54; 95% CI 0.40-0.73), and those receiving care in the faculty compared to the resident clinics (aOR 0.48; 95% CI 0.35-0.65) had decreased odds of having a recalled weight available in the chart. Among women with available recalled prepregnancy weight (n=1101), 390 (35.4%) also had a documented measured weight within one year of conception and 711 (64.6%) did not. Women who were not married (aOR 0.54; 95% 0.39-0.76) had decreased odds of having a measured weight, whereas those receiving care in the faculty compared to resident clinics had greater odds (aOR 1.79; 95% CI 1.26-2.53) of having a measured weight within one year of conception available in their charts. Conclusions: Our results suggest that approximately 25% of women have both recalled weight at first prenatal visit and at least one weight measured within one year of conception in their medical records. Prepregnancy BMI, education, and prenatal care site were associated with presence or absence of recalled weight. Similarly, amongst those with recalled weight, martial status and prenatal care in faculty practice where associated with decreased and increased odds respectively of having a measured weight within one year of conception. We can use this information to help practitioners target women for which greater efforts are needed to provide accurate IOM-recommended BMI-specific gestational weight gain guidelines. This may be utilized to discern patterns of health care access in this patient population

    Association Between Chronic Hepatitis C Virus Infection and Myocardial Infarction Among People Living With HIV in the United States.

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    Hepatitis C virus (HCV) infection is common among people living with human immunodeficiency virus (PLWH). Extrahepatic manifestations of HCV, including myocardial infarction (MI), are a topic of active research. MI is classified into types, predominantly atheroembolic type 1 MI (T1MI) and supply-demand mismatch type 2 MI (T2MI). We examined the association between HCV and MI among patients in the Centers for AIDS Research (CFAR) Network of Integrated Clinical Systems, a US multicenter clinical cohort of PLWH. MIs were centrally adjudicated and categorized by type using the Third Universal Definition of Myocardial Infarction. We estimated the association between chronic HCV (RNA+) and time to MI while adjusting for demographic characteristics, cardiovascular risk factors, clinical characteristics, and history of injecting drug use. Among 23,407 PLWH aged ≥18 years, there were 336 T1MIs and 330 T2MIs during a median of 4.7 years of follow-up between 1998 and 2016. HCV was associated with a 46% greater risk of T2MI (adjusted hazard ratio (aHR) = 1.46, 95% confidence interval (CI): 1.09, 1.97) but not T1MI (aHR = 0.87, 95% CI: 0.58, 1.29). In an exploratory cause-specific analysis of T2MI, HCV was associated with a 2-fold greater risk of T2MI attributed to sepsis (aHR = 2.01, 95% CI: 1.25, 3.24). Extrahepatic manifestations of HCV in this high-risk population are an important area for continued research

    Response to Staphylococcus aureus requires CD36-mediated phagocytosis triggered by the COOH-terminal cytoplasmic domain

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    Phagocyte recognition and clearance of bacteria play essential roles in the host response to infection. In an on-going forward genetic screen, we identify the Drosophila melanogaster scavenger receptor Croquemort as a receptor for Staphylococcus aureus, implicating for the first time the CD36 family as phagocytic receptors for bacteria. In transfection assays, the mammalian Croquemort paralogue CD36 confers binding and internalization of Gram-positive and, to a lesser extent, Gram-negative bacteria. By mutational analysis, we show that internalization of S. aureus and its component lipoteichoic acid requires the COOH-terminal cytoplasmic portion of CD36, specifically Y463 and C464, which activates Toll-like receptor (TLR) 2/6 signaling. Macrophages lacking CD36 demonstrate reduced internalization of S. aureus and its component lipoteichoic acid, accompanied by a marked defect in tumor necrosis factor-α and IL-12 production. As a result, Cd36−/− mice fail to efficiently clear S. aureus in vivo resulting in profound bacteraemia. Thus, response to S. aureus requires CD36-mediated phagocytosis triggered by the COOH-terminal cytoplasmic domain, which initiates TLR2/6 signaling

    Examination of the Cumulative Risk Assessment and Nutritional Profiles among College Ballet Dancers

    Get PDF
    This study examined female collegiate ballet dancers’ (n = 28) Female Athlete Triad (Triad) risk via the Cumulative Risk Assessment (CRA) and nutritional profiles (macro- and micronutrients; n = 26). The CRA identified Triad return to play criteria (RTP: Full Clearance, Provisional Clearance, or Restricted/Medical Disqualified) by assessing eating disorder risk, low energy availability, menstrual cycle dysfunction, and low bone mineral density. Seven-day dietary assessments identified any energy imbalances of macro- and micronutrients. Ballet dancers were identified as low, within normal, or high for each of the 19 nutrients assessed. Basic descriptive statistics assessed CRA risk classification and dietary macro- and micronutrient levels. Dancers averaged 3.5 ± 1.6 total score on the CRA. Based on these scores, the RTP outcomes revealed Full Clearance 7.1%, n = 2; Provisional Clearance 82.1%, n = 23; and Restricted/Medical Disqualification 10.7%, n = 3. Dietary reports revealed that 96.2% (n = 25) of ballet dancers were low in carbohydrates, 92.3% (n = 24) low in protein, 19.2% (n = 5) low in fat percent, 19.2% (n = 5) exceeding saturated fats, 100% (n = 26) low in Vitamin D, and 96.2% (n = 25) low in calcium. Due to the variability in individual risks and nutrient requirements, a patient-centered approach is a critical part of early prevention, evaluation, intervention, and healthcare for the Triad and nutritional-based clinical evaluations

    Ubiquitous neurocognitive dysfunction in familial adenomatous polyposis: proof-of-concept of the role of APC protein in neurocognitive function

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    Background: Familial adenomatous polyposis (FAP) is an autosomal dominant disorder caused by germline mutations in the APC gene. Patients with FAP have multiple extraintestinal manifestations that follow a genotype-phenotype pattern; however, few data exist characterizing their cognitive abilities. Given the role of the APC protein in development of the central nervous system, we hypothesized that patients with FAP would show differences in cognitive functioning compared to controls. Methods: Matched case-control study designed to evaluate cognitive function using the Test of Nonverbal Intelligence-4, the Bateria III Woodcock-Munoz, and the Behavior Rating Inventory of Executive Functions-Adult. Twenty-six individuals with FAP (mean age = 34.2 +/- 15.0 years) and 25 age-gender and educational level matched controls (mean age = 32.7 +/- 13.8 years) were evaluated. Results: FAP-cases had significantly lower IQ (p = 0.005). Across all tasks of the Bateria III Woodcock-Munoz, FAP-cases performed significantly lower than controls, with all of the summary scores falling in the bottom quartile compared to controls (p \u3c 0.0001). Patients with FAP scored within the deficient range for Long-Term Retrieval and Cognitive Fluency. Conclusion: APC protein has an important role in neurocognitive function. The pervasive nature of the observed cognitive dysfunction suggests that loss or dysfunction of the APC protein impacts processes in cortical and subcortical brain regions. Additional studies examining larger ethnically diverse cohorts with FAP are warranted
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