Determining the Long-Term Effectiveness of a Group-Based Physical Activity Program.

Objective: In 2015, only half (48%) of older adults in the United States (≥60 years) reported engaging in any kind of physical activity. Few studies examine the impact of evidence-based programs when adopted in community-based settings. The purpose of this study is to assess the effectiveness of EnhanceFitness (EF) upto 12-months.

Does Survival Vary for Breast Cancer Patients in the United States? A Study from Six Randomly Selected States.

Background: Breast cancer is the most common cancer in women. Disparities in some characteristics of breast cancer patients and their survival data for six randomly selected states in the US were examined.

Materials And Methods: A probability random sampling method was used to select the records of 2,000 patients from each of six randomly selected states.

White Matter Deterioration May Foreshadow Impairment of Emotional Valence Determination in Early-Stage Dementia of the Alzheimer Type.

In Alzheimer Disease (AD), non-verbal skills often remain intact for far longer than verbally mediated processes. Four (1 female, 3 males) participants with early-stage Clinically Diagnosed Dementia of the Alzheimer Type (CDDAT) and eight neurotypicals (NTs; 4 females, 4 males) completed the emotional valence determination test (EVDT) while undergoing BOLD functional magnetic resonance imaging (fMRI). We expected CDDAT participants to perform just as well as NTs on the EVDT, and to display increased activity within the bilateral amygdala and right anterior cingulate cortex (r-ACC).

Methods needed to measure predictive accuracy: A study of diabetic patients.

Diabetes is one of the leading causes of morbidity and mortality and it can result in several complications such as kidney failure, heart failure, stroke, and blindness making it a major medical and public health concern in the United States. Statistical methods are important to detect risk factors and identify the best sampling plan to determine predictive bounds for diabetic patients' data. The main objective of this paper is to identify the best fit bootstrapping sampling method and to draw the predictive bound considering diabetes patient data.

Disparities in Cervical Cancer Characteristics and Survival Between White Hispanics and White Non-Hispanic Women.

Background: Cervical cancer is the second most common cancer among women resulting in nearly 500,000 cases annually. Screening leads to better treatment and survival time. However, human papillomavirus (HPV) exposure, screening, and treatment vary among races and ethnicities in the United States.

Type 2 diabetes and its correlates among adults in Bangladesh: a population based study.

Background: Type 2 diabetes is one of the most prevalent non-communicable diseases in Bangladesh. However, the correlates of type 2 diabetes among adults in Bangladesh remain unknown. We aimed to investigate the correlates of type 2 diabetes among the adults in Bangladesh.

Trends in Outcome and Hospitalization Cost among Adult Patients with Acute Ischemic Stroke in the United States.

Introduction: New treatments for acute ischemic stroke (AIS) have been introduced and are expected to improve patients' overall outcomes. We assessed the impact of new therapeutic strategies on outcome and cost of hospitalization among adult patients with AIS in the United States.

Methods: Patients with AIS admitted in the United States in 1993-1994 and 2006-2007 were listed using the Nationwide Inpatient Survey database.

Health disparities between Black Hispanic and Black non-Hispanic cervical cancer cases in the USA.

Background: Globally, cervical cancer is a major public health concern. Cervical cancer is the second most common cancer among women, resulting in approximately 500,000 cases per year. The purpose of this study is to compare disease characteristics between Black Hispanic (BH) and Black non-Hispanic (BNH) women in the US.

Black Hispanic and Black non-Hispanic breast cancer survival data analysis with half-normal model application.

Background: Breast cancer is the second leading cause of cancer death for women in the United States. Differences in survival of breast cancer have been noted among racial and ethnic groups, but the reasons for these disparities remain unclear. This study presents the characteristics and the survival curve of two racial and ethnic groups and evaluates the effects of race on survival times by measuring the lifetime data-based half-normal model.

Statistical estimates from black non-Hispanic female breast cancer data.

Background: The use of statistical methods has become an imperative tool in breast cancer survival data analysis. The purpose of this study was to develop the best statistical probability model using the Bayesian method to predict future survival times for the black non-Hispanic female breast cancer patients diagnosed during 1973- 2009 in the U.S.

Statistical applications for the prediction of white Hispanic breast cancer survival.

Background: The ability to predict the survival time of breast cancer patients is important because of the potential high morbidity and mortality associated with the disease. To develop a predictive inference for determining the survival of breast cancer patients, we applied a novel Bayesian method. In this paper, we propose the development of a databased statistical probability model and application of the Bayesian method to predict future survival times for White Hispanic female breast cancer patients, diagnosed in the US during 1973-2009.

Survival analysis for white non-Hispanic female breast cancer patients.

Background: Race and ethnicity are significant factors in predicting survival time of breast cancer patients. In this study, we applied advanced statistical methods to predict the survival of White non-Hispanic female breast cancer patients, who were diagnosed between the years 1973 and 2009 in the United States (U.S.

Model-based survival estimates of female breast cancer data.

Background: Statistical methods are very important to precisely measure breast cancer patient survival times for healthcare management. Previous studies considered basic statistics to measure survival times without incorporating statistical modeling strategies. The objective of this study was to develop a data-based statistical probability model from the female breast cancer patients' survival times by using the Bayesian approach to predict future inferences of survival times.

Inferential statistics from Black Hispanic breast cancer survival data.

In this paper we test the statistical probability models for breast cancer survival data for race and ethnicity. Data was collected from breast cancer patients diagnosed in United States during the years 1973-2009. We selected a stratified random sample of Black Hispanic female patients from the Surveillance Epidemiology and End Results (SEER) database to derive the statistical probability models.

Bayesian method for modeling male breast cancer survival data.

Background: With recent progress in health science administration, a huge amount of data has been collected from thousands of subjects. Statistical and computational techniques are very necessary to understand such data and to make valid scientific conclusions. The purpose of this paper was to develop a statistical probability model and to predict future survival times for male breast cancer patients who were diagnosed in the USA during 1973-2009.

Guillain-Barré syndrome after influenza vaccination in the United States, a report from the CDC/FDA vaccine adverse event reporting system (1990-2009).

Objectives: To determine the rate of Guillain-Barré syndrome (GBS) after administration of influenza vaccine in the United States and to provide further information about the characteristics and temporal profile of these incidents.

Methods: Data were acquired from the Vaccine Adverse Event Reporting System, supplemented by data from the Center for Biologics and Research under the Freedom of Information Act between 1990 and 2009.

Results: There were 802 cases (mean age, 54.

Trends in outcomes and hospitalization costs for traumatic brain injury in adult patients in the United States.

Several new therapeutic strategies have been introduced for the management of adult traumatic brain injury (TBI) over the last decade, such as the development of management pathways and specialized TBI units and improved treatment of cerebral perfusion. The purpose of this study is to compare TBI-related hospitalization outcomes in the United States between two time periods, 1993-1994 and 2006-2007. We determined the rates of occurrence, in-hospital outcomes, and mean hospital charges for patients hospitalized with adult TBI in 1993-1994 using the nationally representative all-payer Nationwide Inpatient Survey (NIS) database, and compared these outcomes with homologous data from 2006-2007.

Analysis of data from the CDC/FDA vaccine adverse event reporting system (1990-2009) on Guillain-Barre syndrome after hepatitis vaccination in the USA.

We used data from the Vaccine Adverse Event Reporting System, supplemented by additional data provided by the Center for Biologics Evaluation and Research, to identify 189 patients with Guillain-Barré syndrome (GBS) reported after hepatitis vaccination with a mean age of 30.65 years, affecting men and women equally. Among vaccinated patients, 133 (70%) developed GBS within six weeks, 30 (15.

Guillain-Barré syndrome after H1N1 vaccination in the United States: a report using the CDC/FDA Vaccine Adverse Event Reporting System (2009).

Background: Although the Guillain-Barré syndrome (GBS) can be associated with the seasonal influenza vaccine, there is no definite evidence that GBS is associated with H1N1 influenza vaccination. The objective of this report is to study the occurrence and characteristics of GBS after H1N1 vaccine administration in the United States in 2009.

Methods: Data were acquired from the Vaccine Adverse Event Reporting System and supplemented by additional information obtained from the Center for Biologics Evaluation and Research, under the Federal Freedom of Information Act.

The safety profile of home infusion of intravenous immunoglobulin in patients with neuroimmunologic disorders.

Objectives: To assess the overall safety of high-dose intravenous immunoglobulin (IG) products used to treat patients with neuroimmunological disorders in a supervised home-based setting.

Methods: The incidence of adverse reactions was assessed in a retrospective chart review of 420 patients who consecutively received 4076, home-based, individual, intravenous immunoglobulin (IVIG) infusions between January 2009 and December 2009.

Results: A total of 90 patients (21.

Metabolic syndrome in aboriginal Canadians: prevalence and genetic associations.

Objectives: The prevalence rates of type 2 diabetes (T2DM) and coronary heart disease (CHD) in Ontario Oji-Cree are among the world's highest. Since metabolic syndrome (MetS) increases risk of T2DM and CHD, we characterized prevalence and putative genetic determinants of MetS in Oji-Cree.

Methods And Results: In 515 adult (> or = 18 years old) and 115 adolescent (< 18 years old) Oji-Cree subjects, using the National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP III) criteria, we determined that 29.

Differences between carotid wall morphological phenotypes measured by ultrasound in one, two and three dimensions.

Ultrasound measurements are both surrogate markers and risk factors for atherosclerosis end points. Carotid intima-media thickness (IMT) is most commonly used, but ultrasound can also define structures in higher spatial dimensions, such as total plaque area (TPA) and total plaque volume (TPV). Because there are minimal data regarding the relationship between IMT, TPA and TPV, we measured these variables in 272 Oji-Cree subjects.

Venn analysis as part of a bioinformatic approach to prioritize expressed sequence tags from cardiac libraries.

Objectives: We needed to sort expressed sequence tags (ESTs) from human cardiac expression libraries.

Design And Methods: We annotated DNA sequence text files of 35,152 cardiac ESTs using our search and annotation tool called Multiblast.pl.

Optimizing RNA extraction yield from whole blood for microarray gene expression analysis.

Objectives: Microarray analysis of gene expression profiles of blood leukocytes has many potential clinical and research applications.

Design And Methods: We used the PAXgene Blood RNA System to prepare RNA from the whole blood of normal volunteers using two incubation times followed by gene expression profiling using the Affymetrix HU133A GeneChip.

Conclusions: Longer incubation gave a significantly higher RNA yield and samples that were satisfactory for microarray analysis, with excellent pairwise correlations between replicates.