Factors Affecting Compliance With Colorectal Cancer Screening Among Households Residing in the Largely Haitian Community of Little Haiti, Miami-Dade County, Florida

The United States Black population is disproportionately affected by colorectal cancer (CRC) in terms of incidence and mortality. Studies suggest that screening rates are lower among Blacks compared with non-Hispanic Whites (NHWs). However, studies on CRC screening within Black subgroups are lacking. This study examined disparities in blood stool test (BST) compliance and colonoscopy use by race/ethnicity (Haitian, NHW, non-Hispanic Black [NHB], and Hispanic) among randomly selected households in Little Haiti, Miami-Dade County, Florida.This study used cross-sectional, health and wellness data from a random-sample, population-based survey conducted within 951 households in Little Haiti between November 2011 and December 2012. BST compliance and colonoscopy use were self-reported and defined, conservatively, as the use of BST within the past 2 years and the ever use of colonoscopy by any household member. Factors associated with BST compliance and colonoscopy use were identified using logistic regression models. Analyses were restricted to households containing at least 1 member ≥50 years (n = 666).Nearly half of the households were compliant with BST (rate [95% confidence interval (CI)] = 45% [41%-49%]) and completed colonoscopy (rate [95% CI] = 53% [49%-58%]). Compliance with BST was not associated with race/ethnicity (P = 0.76). Factors independently associated with BST compliance included low educational attainment (adjusted odds ratio [AOR] = 0.63, P = 0.03), being single (AOR = 0.47, P = 0.004), retirement (AOR = 1.96, P = 0.01), and the presence of diagnosed health problems (AOR = 1.24, P = 0.01). Colonoscopy use was lower among Haitian households (46%) compared with NHW (63%), NHB (62%), and Hispanic households (54%) (P = 0.002). Factors independently associated with colonoscopy use included identifying as NHB (compared with Haitian) (AOR = 1.80, P = 0.05), being single (AOR = 0.44, P = 0.001), retirement (AOR = 1.86, P = 0.02), lack of continuous insurance (AOR = 0.45, P \u3c 0.001), and the presence of diagnosed health problems (AOR = 1.44, P \u3c 0.001) and physical limitations/disabilities (AOR = 1.88, P = 0.05).Compliance with BST and use of colonoscopy are low within households in the Little Haiti community. Significant disparities in the use of colonoscopy exist between Haitian and NHB households. Barriers and facilitators of colonoscopy within each racial/ethnic group need to be identified as the next step to developing culturally appropriate, community-based interventions aimed at increasing colonoscopy use in this large minority population

A framework for quantifying the magnitude and variability of community responses to global change drivers

A major challenge in global change ecology is to predict the trajectory and magnitude of community change in response to global change drivers (GCDs). Here, we present a new framework that not only increases the predictive power of individual studies, but also allows for synthesis across GCD studies and ecosystems. First, we suggest that by quantifying community dissimilarity of replicates both among and within treatments, we can infer both the magnitude and predictability of community change, respectively. Second, we demonstrate the utility of integrating rank abundance curves with measures of community dissimilarity to understand the species-level dynamics driving community changes and propose a series of testable hypotheses linking changes in rank abundance curves with shifts in community dissimilarity. Finally, we review six case studies that demonstrate how our new conceptual framework can be applied. Overall, we present a new framework for holistically predicting community responses to GCDs that has broad applicability in this era of unprecedented global change and novel environmental conditions

The role of urine pregnancy testing in facilitating access to antenatal care and abortion services in South Africa: a cross-sectional study

BACKGROUND: Effective confirmation of pregnancy is a basic component of reproductive health services. It is a prerequisite for accessing antenatal care (AnC) if the pregnancy is wanted and abortion services if the pregnancy is unwanted. This study examined the role of urine pregnancy testing in the timing of presentation for pregnancy-care. METHOD: A cross-sectional study was conducted among 158 women presenting for antenatal care and 164 women presenting for abortion at public sector clinics in Cape Town, South Africa. RESULTS: The median gestational age at first presentation was 23 weeks for AnC clients and 13 weeks for abortion clients. Obtaining a urine pregnancy test of one's own accord was associated with a decrease in the gestational age at presentation of 3.6 and 1.4 weeks for antenatal and abortion clients, respectively, independently of all other factors. CONCLUSION: Given the proven clinical benefit and public health impact of early presentation for antenatal and abortion services, strategies to decrease gestational age at presentation for pregnancy care should be given priority. 'Fast-track' urine pregnancy testing services should be established in public sector clinics in South Africa

Susceptibility of hamsters to clostridium difficile isolates of differing toxinotype

Clostridium difficile is the most commonly associated cause of antibiotic associated disease (AAD), which caused ~21,000 cases of AAD in 2011 in the U.K. alone. The golden Syrian hamster model of CDI is an acute model displaying many of the clinical features of C. difficile disease. Using this model we characterised three clinical strains of C. difficile, all differing in toxinotype; CD1342 (PaLoc negative), M68 (toxinotype VIII) and BI-7 (toxinotype III). The naturally occurring non-toxic strain colonised all hamsters within 1-day post challenge (d.p.c.) with high-levels of spores being shed in the faeces of animals that appeared well throughout the entire experiment. However, some changes including increased neutrophil influx and unclotted red blood cells were observed at early time points despite the fact that the known C. difficile toxins (TcdA, TcdB and CDT) are absent from the genome. In contrast, hamsters challenged with strain M68 resulted in a 45% mortality rate, with those that survived challenge remaining highly colonised. It is currently unclear why some hamsters survive infection, as bacterial and toxin levels and histology scores were similar to those culled at a similar time-point. Hamsters challenged with strain BI-7 resulted in a rapid fatal infection in 100% of the hamsters approximately 26 hr post challenge. Severe caecal pathology, including transmural neutrophil infiltrates and extensive submucosal damage correlated with high levels of toxin measured in gut filtrates ex vivo. These data describes the infection kinetics and disease outcomes of 3 clinical C. difficile isolates differing in toxin carriage and provides additional insights to the role of each toxin in disease progression

A nearly continuous measure of birth weight for gestational age using a United States national reference

BACKGROUND: Fully understanding the determinants and sequelae of fetal growth requires a continuous measure of birth weight adjusted for gestational age. Published United States reference data, however, provide estimates only of the median and lowest and highest 5(th )and 10(th )percentiles for birth weight at each gestational age. The purpose of our analysis was to create more continuous reference measures of birth weight for gestational age for use in epidemiologic analyses. METHODS: We used data from the most recent nationwide United States Natality datasets to generate multiple reference percentiles of birth weight at each completed week of gestation from 22 through 44 weeks. Gestational age was determined from last menstrual period. We analyzed data from 6,690,717 singleton infants with recorded birth weight and sex born to United States resident mothers in 1999 and 2000. RESULTS: Birth weight rose with greater gestational age, with increasing slopes during the third trimester and a leveling off beyond 40 weeks. Boys had higher birth weights than girls, later born children higher weights than firstborns, and infants born to non-Hispanic white mothers higher birth weights than those born to non-Hispanic black mothers. These results correspond well with previously published estimates reporting limited percentiles. CONCLUSIONS: Our method provides comprehensive reference values of birth weight at 22 through 44 completed weeks of gestation, derived from broadly based nationwide data. Other approaches require assumptions of normality or of a functional relationship between gestational age and birth weight, which may not be appropriate. These data should prove useful for researchers investigating the predictors and outcomes of altered fetal growth

Ponderomotive Control of Quantum Macroscopic Coherence

It is shown that because of the radiation pressure a Schr\"odinger cat state can be generated in a resonator with oscillating wall. The optomechanical control of quantum macroscopic coherence and its detection is taken into account introducing new cat states. The effects due to the environmental couplings with this nonlinear system are considered developing an operator perturbation procedure to solve the master equation for the field mode density operator.Comment: Latex,22 pages,accepted by Phys.Rev.

Aptamer-based multiplexed proteomic technology for biomarker discovery

Interrogation of the human proteome in a highly multiplexed and efficient manner remains a coveted and challenging goal in biology. We present a new aptamer-based proteomic technology for biomarker discovery capable of simultaneously measuring thousands of proteins from small sample volumes (15 [mu]L of serum or plasma). Our current assay allows us to measure ~800 proteins with very low limits of detection (1 pM average), 7 logs of overall dynamic range, and 5% average coefficient of variation. This technology is enabled by a new generation of aptamers that contain chemically modified nucleotides, which greatly expand the physicochemical diversity of the large randomized nucleic acid libraries from which the aptamers are selected. Proteins in complex matrices such as plasma are measured with a process that transforms a signature of protein concentrations into a corresponding DNA aptamer concentration signature, which is then quantified with a DNA microarray. In essence, our assay takes advantage of the dual nature of aptamers as both folded binding entities with defined shapes and unique sequences recognizable by specific hybridization probes. To demonstrate the utility of our proteomics biomarker discovery technology, we applied it to a clinical study of chronic kidney disease (CKD). We identified two well known CKD biomarkers as well as an additional 58 potential CKD biomarkers. These results demonstrate the potential utility of our technology to discover unique protein signatures characteristic of various disease states. More generally, we describe a versatile and powerful tool that allows large-scale comparison of proteome profiles among discrete populations. This unbiased and highly multiplexed search engine will enable the discovery of novel biomarkers in a manner that is unencumbered by our incomplete knowledge of biology, thereby helping to advance the next generation of evidence-based medicine

The heart healthy lenoir project-an intervention to reduce disparities in hypertension control: study protocol

Background Racial disparities in blood pressure control are well established; however the impact of low health literacy (LHL) on blood pressure has garnered less attention. Office based interventions that are created with iterative patient, practice and community stakeholder input and are rolled out incrementally, may help address these disparities in hypertension control. This paper describes our study protocol. Methods/design Using a community based participatory research (CBPR) approach, we designed and implemented a cohort study that includes both a practice level and patient level intervention to enhance the care and support of patients with hypertension in primary care practices in a rural region of eastern North Carolina. The study is divided into a formative phase and an ongoing 2.5 year implementation phase. Our main care enhancement activities include the integration of a community health coach, using home blood pressure monitoring in clinical decision making, standardizing care delivery processes, and working to improve medication adherence. Main outcomes include overall blood pressure change, the differential change in blood pressure by race (African American vs. White) and health literacy level (low vs. higher health literacy). Discussion Using a community based participatory approach in primary care practice settings has helped to engage patients and practice staff and providers in the research effort and in making practice changes to support hypertension care. Practices have engaged at varying levels, but progress has been made in implementing and iteratively improving upon the interventions to date

Rare variant collapsing in conjunction with mean log p-value and gradient boosting approaches applied to Genetic Analysis Workshop 17 data

In addition to methods that can identify common variants associated with susceptibility to common diseases, there has been increasing interest in approaches that can identify rare genetic variants. We use the simulated data provided to the participants of Genetic Analysis Workshop 17 (GAW17) to identify both rare and common single-nucleotide polymorphisms and pathways associated with disease status. We apply a rare variant collapsing approach and the usual association tests for common variants to identify candidates for further analysis using pathway-based and tree-based ensemble approaches. We use the mean log p-value approach to identify a top set of pathways and compare it to those used in simulation of GAW17 dataset. We conclude that the mean log p-value approach is able to identify those pathways in the top list and also related pathways. We also use the stochastic gradient boosting approach for the selected subset of single-nucleotide polymorphisms. When compared the result of this tree-based method with the list of single-nucleotide polymorphisms used in dataset simulation, in addition to correct SNPs we observe number of false positives