46 research outputs found

    Gender Disparities in Weight Gain Among Offenders Who Are Obese Upon Entering Correctional Facilities

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    Background: Obesity is a significant health issue for offenders, who have a higher prevalence of obesity-related conditions, such as diabetes, compared to non-incarcerated populations. Within incarcerated populations, there are obesity disparities in terms of race, gender, and age, as well as excess weight gain during incarceration. Methods: This longitudinal study was conducted for 2005 – 2010 in collaboration with a Department of Corrections in the east south central region of the United States. From electronic health records of 10,841 offenders, weight, height, and demographic data were extracted. As determined from these data, 2,622 offenders met the inclusion criteria (two or more valid weight and height measurements and length of incarceration \u3e zero). Results: Women offenders who entered corrections as obese had a mean (and standard deviation) body mass index (BMI) of 36.2 (5.3) at baseline; the mean for men was 34.2 (4.4). For women who were obese at baseline, their BMI increased by 1.0 (3.3); for men their BMI decreased by 0.7 (3.1). Gender differences for changes in BMI among the obese population were significant (χ2 = 15.8, p \u3c 0.001). Women and men also differed in regard to weight gain (χ2 = 34.0, p \u3c 0.001). Further, those women and men who were not obese at baseline had an increase in BMI that was greater than the increase for the group that entered corrections as obese (p \u3e 0.001). Conclusions: Women offenders, obese or not at baseline, had greater gains in weight in comparison to men. However, there were no significant differences in BMI changes for race or correlations with age or length of incarceration. The findings related to gender warrant further investigations to explain these disparities and to evaluate the capacity of the corrections system to meet the health needs of women

    Mouse models of preeclampsia with preexisting comorbidities

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    Preeclampsia is a pregnancy-specific condition and a leading cause of maternal and fetal morbidity and mortality. It is thought to occur due to abnormal placental development or dysfunction, because the only known cure is delivery of the placenta. Several clinical risk factors are associated with an increased incidence of preeclampsia including chronic hypertension, diabetes, autoimmune conditions, kidney disease, and obesity. How these comorbidities intersect with preeclamptic etiology, however, is not well understood. This may be due to the limited number of animal models as well as the paucity of studies investigating the impact of these comorbidities. This review examines the current mouse models of chronic hypertension, pregestational diabetes, and obesity that subsequently develop preeclampsia-like symptoms and discusses how closely these models recapitulate the human condition. Finally, we propose an avenue to expand the development of mouse models of preeclampsia superimposed on chronic comorbidities to provide a strong foundation needed for preclinical testing

    Microtiming patterns and interactions with musical properties in Samba music

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    In this study, we focus on the interaction between microtiming patterns and several musical properties: intensity, meter and spectral characteristics. The data-set of 106 musical audio excerpts is processed by means of an auditory model and then divided into several spectral regions and metric levels. The resulting segments are described in terms of their musical properties, over which patterns of peak positions and their intensities are sought. A clustering algorithm is used to systematize the process of pattern detection. The results confirm previously reported anticipations of the third and fourth semiquavers in a beat. We also argue that these patterns of microtiming deviations interact with different profiles of intensities that change according to the metrical structure and spectral characteristics. In particular, we suggest two new findings: (i) a small delay of microtiming positions at the lower end of the spectrum on the first semiquaver of each beat and (ii) systematic forms of accelerando and ritardando at a microtiming level covering two-beat and four-beat phrases. The results demonstrate the importance of multidimensional interactions with timing aspects of music. However, more research is needed in order to find proper representations for rhythm and microtiming aspects in such contexts

    Non-allergic rhinitis: a case report and review

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    Rhinitis is characterized by rhinorrhea, sneezing, nasal congestion, nasal itch and/or postnasal drip. Often the first step in arriving at a diagnosis is to exclude or diagnose sensitivity to inhalant allergens. Non-allergic rhinitis (NAR) comprises multiple distinct conditions that may even co-exist with allergic rhinitis (AR). They may differ in their presentation and treatment. As well, the pathogenesis of NAR is not clearly elucidated and likely varied. There are many conditions that can have similar presentations to NAR or AR, including nasal polyps, anatomical/mechanical factors, autoimmune diseases, metabolic conditions, genetic conditions and immunodeficiency. Here we present a case of a rare condition initially diagnosed and treated as typical allergic rhinitis vs. vasomotor rhinitis, but found to be something much more serious. This case illustrates the importance of maintaining an appropriate differential diagnosis for a complaint routinely seen as mundane. The case presentation is followed by a review of the potential causes and pathogenesis of NAR

    The First Post-Kepler Brightness Dips of KIC 8462852

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    We present a photometric detection of the first brightness dips of the unique variable star KIC 8462852 since the end of the Kepler space mission in 2013 May. Our regular photometric surveillance started in October 2015, and a sequence of dipping began in 2017 May continuing on through the end of 2017, when the star was no longer visible from Earth. We distinguish four main 1-2.5% dips, named "Elsie," "Celeste," "Skara Brae," and "Angkor", which persist on timescales from several days to weeks. Our main results so far are: (i) there are no apparent changes of the stellar spectrum or polarization during the dips; (ii) the multiband photometry of the dips shows differential reddening favoring non-grey extinction. Therefore, our data are inconsistent with dip models that invoke optically thick material, but rather they are in-line with predictions for an occulter consisting primarily of ordinary dust, where much of the material must be optically thin with a size scale <<1um, and may also be consistent with models invoking variations intrinsic to the stellar photosphere. Notably, our data do not place constraints on the color of the longer-term "secular" dimming, which may be caused by independent processes, or probe different regimes of a single process

    Finishing the euchromatic sequence of the human genome

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    The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∼99% of the euchromatic genome and is accurate to an error rate of ∼1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead

    The First Post-Kepler Brightness Dips of KIC 8462852

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    A call to develop evidence-based interventions to reduce sexually transmitted infections in juvenile justice populations

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    © Meharry Medical College. Sexually transmitted infections (STIs), including human immunodeficiency virus (HIV) risk, are a significant health issue for young women (ages 16-21), especially African Americans with a juvenile justice history. Studies have found that 44% of young African American women have had at least one STI compared to 24.1% for all young women. The rate of STIs among young women with juvenile justice histories, particularly African Americans, is likely much higher than their non-detained peers. Yet, there are few evidence-based interventions (EBIs) designed specifically for the detained population. In 2014, the Centers for Disease Control and Prevention’s Compendium of Evidence-Based Interventions and Best Practices for HIV Prevention listed few programs that comprehensively included components related to mental health, intimate relationships and high risk sexual behaviors that would be salient for a detained population. Further, many EBIs have had limited or no long-term protective effect. We propose that interrelated factors (mental health, substance use, trauma and intimate relationships) can effectively decrease risk and increase protective behaviors for the detained population most at risk
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