1,749 research outputs found

    The Relationship Between Self-Determination Theory And Physical Activity Participation Variables To Exercise Self-Definition Among African American Retirees

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    This manuscript style dissertation is composed of three chapters. Chapter 1 is an introduction of the research problem and introduces some of the main areas that can impede African Americans from regularly participating in physical activity such as cultural & regional issues, presence of chronic diseases, and other issues. Chapter Two is a literature review on how autonomy support can facilitate self-determined motivation within individuals. It introduces how an individual can receive autonomy support from one source, multiple sources, or from an environment. Chapter Three is an empirical study assessing the relationship between self-determination theory and physical activity participation variables to exercise self-definition. One hundred and forty nine African American retirees who lived independently completed four outcome measures: Exercise Self-Definition (ESD) scale, Behavioral Regulations for Exercise Questionnaire-2/Relative Autonomy Index (BREQ2RAI), Godin Leisure Time Activity Scale (GLTEQ), and Basic Psychological Needs for Exercise Scale (BPNES). The investigator ran a correlation matrix to demonstrate relationships between the variables and a hierarchical linear regression analysis to determine significant predictors of physical activity participation (GLTEQ). The results revealed all the variables had statistically significant correlations, however, GLTEQ had the highest correlation with ESD (0.318). None of the psychological predictors was significant predictors of GLTEQ. In the final model, the ESD was two one-hundredths of a point over the criterion p-value (.05) for showing statistical significance in predicting GLTEQ among African American retirees. For the overall regression model, all factors explained 16.2% of the total model variance

    Identification of a functional genetic variant driving racially dimorphic platelet gene expression of the thrombin receptor regulator, PCTP.

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    Platelet activation in response to stimulation of the Protease Activated Receptor 4 (PAR4) receptor differs by race. One factor that contributes to this difference is the expression level of Phosphatidylcholine Transfer Protein (PCTP), a regulator of platelet PAR4 function. We have conducted an expression Quantitative Trait Locus (eQTL) analysis that identifies single nucleotide polymorphisms (SNPs) linked to the expression level of platelet genes. This analysis revealed 26 SNPs associated with the expression level of PCTP at genome-wide significance (p \u3c 5×10(-8)). Using annotation from ENCODE and other public data we prioritised one of these SNPs, rs2912553, for functional testing. The allelic frequency of rs2912553 is racially-dimorphic, in concordance with the racially differential expression of PCTP. Reporter gene assays confirmed that the single nucleotide change caused by rs2912553 altered the transcriptional potency of the surrounding genomic locus. Electromobility shift assays, luciferase assays, and overexpression studies indicated a role for the megakaryocytic transcription factor GATA1. In summary, we have integrated multi-omic data to identify and functionalise an eQTL. This, along with the previously described relationship between PCTP and PAR4 function, allows us to characterise a genotype-phenotype relationship through the mechanism of gene expression

    Clinical Influences in the Multidisciplinary Management of Small Renal Masses at a Tertiary Referral Center

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    Introduction We designed a multidisciplinary Small Renal Mass Center to help patients decide among treatment options and individualize therapy for small renal masses. In this model physicians and support staff from multiple specialties work as a team to evaluate and devise a treatment plan for patients at the same organized visit. Methods We retrospectively reviewed the records of 263 patients seen from 2009 to 2014. Monitored patient characteristics included age, Charlson comorbidity index, body mass index, nephrometry score, tumor size and estimated glomerular filtration rate. Univariate and multivariate analyses were performed to identify patient characteristics associated with each treatment choice. Results Of the cohort 88 patients elected active surveillance, 64 underwent ablation and 111 were treated with surgery, including partial and radical nephrectomy in 74 and 37, respectively. There were significant associations between treatment modality and age, Charlson comorbidity index, tumor size and estimated glomerular filtration rate. Mean patient age at presentation was 61.1 years. Patients with a high Charlson comorbidity index score (greater than 5) or a decreased estimated glomerular filtration rate (less than 60 ml/minute/1.73 m2) were more likely to undergo active surveillance (41.6% and 35%) and ablative therapy (29.6% and 34%) vs partial nephrectomy (10.6% and 9%, respectively, each p \u3c0.001). On multivariable analysis age, tumor size and estimated glomerular filtration rate remained significantly associated with modality after adjustment for all other factors (each p \u3c0.001). Conclusions The Small Renal Mass Center enables patients to assess the various treatment modalities for a small renal mass in a single setting. By providing simultaneous access to the various specialists it provides an invaluable opportunity for informed patient decision making. © 2016 American Urological Association Education and Research, Inc

    New Constraints on the Complex Mass Substructure in Abell 1689 from Gravitational Flexion

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    In a recent publication, the flexion aperture mass statistic was found to provide a robust and effective method by which substructure in galaxy clusters might be mapped. Moreover, we suggested that the masses and mass profile of structures might be constrained using this method. In this paper, we apply the flexion aperture mass technique to HST ACS images of Abell 1689. We demonstrate that the flexion aperture mass statistic is sensitive to small-scale structures in the central region of the cluster. While the central potential is not constrained by our method, due largely to missing data in the central 0.5^\prime of the cluster, we are able to place constraints on the masses and mass profiles of prominent substructures. We identify 4 separate mass peaks, and use the peak aperture mass signal and zero signal radius in each case to constrain the masses and mass profiles of these substructures. The three most massive peaks exhibit complex small-scale structure, and the masses indicated by the flexion aperture mass statistic suggest that these three peaks represent the dominant substructure component of the cluster (7×1014h1M\sim 7\times 10^{14}h^{-1}M_\odot). Their complex structure indicates that the cluster -- far from being relaxed -- may have recently undergone a merger. The smaller, subsidiary peak is located coincident with a group of galaxies within the cluster, with mass 1×1014h1M\sim 1\times10^{14}h^{-1}M_\odot. These results are in excellent agreement with previous substructure studies of this cluster.Comment: 18 pages, 10 figures, MNRAS accepted (7 Dec 2010

    Indications for pediatric liver transplantation

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    Two hundred fifty pediatric (<18 years of age) patients underwent orthotopic liver transplantation because of end-stage liver disease and were given combination therapy with cyclosporine and prednisone. The most common indications for transplantation in decreasing order of frequency were biliary atresia, inborn errors of metabolism, and postnecrotic cirrhosis. The 5-year actuarial survival for the entire group was 69.2%. Age and diagnosis did not influence survival. Infections were the most common cause of death, followed by liver failure and cerebrovascular accident. The impact of retransplantation on survival depends on the indication. The survival is better when retransplantation is carried out after rejection than because of technical complications, and the latter has a better survival than does primary graft nonfunction. The difference in survival among these groups is statistically significant. The quality of life for 164 of 173 survivors is good to excellent; only nine children are currently experiencing medical problems. A persistent problem in pediatric transplantation is the scarcity of small donors. © 1987 The C. V. Mosby Company

    Development of functional connectivity during adolescence:A longitudinal study using an action-observation paradigm

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    Successful interpersonal interactions rely on an ability to read the emotional states of others and to modulate one's own behavior in response. The actions of others serve as valuable social stimuli in this respect, offering the observer an insight into the actor's emotional state. Social cognition continues to mature throughout adolescence. Here we assess longitudinally the development of functional connectivity during early adolescence within two neural networks implicated in social cognition: one network of brain regions consistently engaged during action observation and another one associated with mentalizing. Using fMRI, we reveal a greater recruitment of the social-emotional network during the observation of angry hand actions in male relative to female adolescents. These findings are discussed in terms of known sex differences in adolescent social behavior

    Bayesian modelling of high-throughput sequencing assays with malacoda.

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    NGS studies have uncovered an ever-growing catalog of human variation while leaving an enormous gap between observed variation and experimental characterization of variant function. High-throughput screens powered by NGS have greatly increased the rate of variant functionalization, but the development of comprehensive statistical methods to analyze screen data has lagged. In the massively parallel reporter assay (MPRA), short barcodes are counted by sequencing DNA libraries transfected into cells and the cell\u27s output RNA in order to simultaneously measure the shifts in transcription induced by thousands of genetic variants. These counts present many statistical challenges, including overdispersion, depth dependence, and uncertain DNA concentrations. So far, the statistical methods used have been rudimentary, employing transformations on count level data and disregarding experimental and technical structure while failing to quantify uncertainty in the statistical model. We have developed an extensive framework for the analysis of NGS functionalization screens available as an R package called malacoda (available from github.com/andrewGhazi/malacoda). Our software implements a probabilistic, fully Bayesian model of screen data. The model uses the negative binomial distribution with gamma priors to model sequencing counts while accounting for effects from input library preparation and sequencing depth. The method leverages the high-throughput nature of the assay to estimate the priors empirically. External annotations such as ENCODE data or DeepSea predictions can also be incorporated to obtain more informative priors-a transformative capability for data integration. The package also includes quality control and utility functions, including automated barcode counting and visualization methods. To validate our method, we analyzed several datasets using malacoda and alternative MPRA analysis methods. These data include experiments from the literature, simulated assays, and primary MPRA data. We also used luciferase assays to experimentally validate several hits from our primary data, as well as variants for which the various methods disagree and variants detectable only with the aid of external annotations

    Successful Recruitment of Centenarians for Post-Mortem Brain Donation: Results from the Georgia Centenarian Study

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    Objective Brain donation and neuropathological examination of brain tissues is the only way to obtain definitive diagnostic information on research subjects enrolled in aging studies. We investigated predictors of brain donation in a population-based study of centenarians in Phase III of the Georgia Centenarian Study (GCS). Methods Sixty-six individuals (mean age = 100.6 years, 91% female, 20% African American) were successfully recruited from the core sample of 244 individuals residing in 44 counties of Northeast Georgia to provide brain donation. Results Bivariate (t-tests, chi-square tests) and multivariate analyses (logistic regression) showed no significant differences between donors and non-donors across a wide range of demographic, religious, personality, cognitive and physical functioning characteristics. Conclusions We succeeded in recruiting a diverse, population-based sample of centenarians for brain donation. Our findings also suggest that barriers to brain donation reported in other studies may have less impact in these exceptional survivors
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