Prostate cancer disparity, chemoprevention, and treatment by specific medicinal plants

© 2019 by the authors. Licensee MDPI, Basel, Switzerland. Prostate cancer (PC) is one of the most common cancers in men. The global burden of this disease is rising. Its incidence and mortality rates are higher in African American (AA) men compared to white men and other ethnic groups. The treatment decisions for PC are based exclusively on histological architecture, prostate-specific antigen (PSA) levels, and local disease state. Despite advances in screening for and early detection of PC, a large percentage of men continue to be diagnosed with metastatic disease including about 20% of men affected with a high mortality rate within the African American population. As such, this population group may benefit from edible natural products that are safe with a low cost. Hence, the central goal of this article is to highlight PC disparity associated with nutritional factors and highlight chemo-preventive agents from medicinal plants that are more likely to reduce PC. To reach this central goal, we searched the PubMed Central database and the Google Scholar website for relevant papers. Our search results revealed that there are significant improvements in PC statistics among white men and other ethnic groups. However, its mortality rate remains significantly high among AA men. In addition, there are limited studies that have addressed the benefits of medicinal plants as chemo-preventive agents for PC treatment, especially among AA men. This review paper addresses this knowledge gap by discussing PC disparity associated with nutritional factors and highlighting the biomedical significance of three medicinal plants (curcumin, garlic, and Vernonia amygdalina) that show a great potential to prevent/treat PC, as well as to reduce its incidence/prevalence and mortality, improve survival rate, and reduce PC-related health disparity

Contextual motivation in physical activity by means of association rule mining

The primary thrust of this work is to demonstrate the applicability of association rule mining in public health domain, focusing on physical activity and exercising. In this paper, the concept of association rule mining is shown assisting to promote the physical exercise as regular human activity. Specifically, similar to the prototypical example of association rule mining, market basket analysis, our proposed novel approach considers two events – exercise (sporadic) and sleep (regular) as the two items of the frequent set; and associating the former, exercise event, with latter, the daily occurring activity sleep at night, helps strengthening the frequency of the exercise patterns. The regularity can further be enhanced, if the exercising instruments are kept in the vicinity of the bed and are within easy reach

A Plan to Facilitate the Early Career Development of Minority Scholars in the Health Sciences

http://dx.doi.org/10.1080/1937191100374817

Racial Disparities in Obesity Prevalence in Mississippi: Role of Socio-Demographic Characteristics and Physical Activity

Although the etiology of obesity is complex, social disparities are gaining attention for their contribution to obesity. The aim of this study was to estimate prevalence of obesity and to explore the associations between socio-demographic characteristics and obesity by race in Mississippi. Data from the 2014 Mississippi Behavior Risk Factors Surveillance System (BRFSS) were used in this study (n = 3794). Descriptive statistics, Chi-square tests and logistic regressions were conducted using SAS Proc. Survey procedures to account for BRFSS’s multistage complex survey design and sample weights. The overall prevalence of self-reported obesity was 37%. Multiple logistic regression model showed gender was the only variable associated with increased risk of obesity among blacks. Black females were more likely to be obese (Adjusted OR [aOR] = 2.0, 95% CI: 1.4–2.7, ref = male) after controlling for confounders. Among white adults, obesity was significantly associated with physical activity, gender, age and education levels. Those aged 25–44 years (aOR = 1.7, 95% CI: 1.1–2.6, ref ≥ 64 years), those were physically inactivity (aOR = 1.8, 95% CI: 1.4–2.5, ref = physically active) or had high school education (OR = 1.6, 95% CI: 1.2–2.3, ref = college graduate) or some college (aOR = 1.5, 95% CI: 1.2–2.3, ref = college graduate) were more likely to be obese; females (aOR = 0.8; 95% CI: 0.6–0.9, ref = male) and those aged 18–24 years (aOR = 0.50, 95% CI: 0.21–0.9, ref ≥ 64 years) were less likely to be obese

Consumption of Sugar-Sweetened Beverages in Mississippi: Is There A Disparity? Behavioral Risk Factor Surveillance System, 2012

Although consumption of sugar-sweetened beverages (SSBs) is a key contributor to epidemic obesity and has dramatically increased over the past decade in the United States, little is known about its prevalence and associated factors. Data from the 2012 Behavior Risk Factor Surveillance System (BRFSS) were used to estimate the prevalence of SSB consumption and to explore the associations between socio-demographic characteristics, behavioral factors and SSB intake in Mississippi (n = 7220). Descriptive statistics, Chi-square tests and logistic regressions were conducted using SAS Proc Survey procedures, to account for the BRFSS′s multistage complex survey design and sample weights. Overall prevalence of self-reported daily SSB intake was 41.1%. Our findings showed that males (aOR = 1.4, 95% CI: 1.2–1.7, ref = female), blacks (aOR = 1.7, 95% CI: 1.4–2.1, ref = whites), adults aged 18–24 years (aOR = 5.0, 95% CI: 3.4–7.5, ref = 65 years or older), those with less than high school education (aOR = 1.9, 95% CI: 1.4–2.6, ref = college graduate), annual income <$25,000 (aOR = 1.3, 95$50,000) and $25,000–49,999 (aOR = 1.3, 95$50,000), those with no physical activity (OR = 1.3, 95% CI: 1.1–1.6, ref = physically active), daily smokers (aOR = 2.2, 95% CI: 1.7–2.7, ref = non-smokers), and those who reported eating at fast food or chain restaurants (aOR = 1.8, 95% CI: 1.2–2.5, ref = do not eat at fast food or chain restaurants) were more likely to consume SSBs, raising concerns about overweight and obesity in Mississippi

Trends in mortality rates by subtypes of heart disease in Mississippi, 1980–2013

Abstract Background Heart disease (HD) is the leading cause of death among Mississippians. However, trends in mortality rates for HD subtypes in Mississippi have not been adequately described. This study examined trends in mortality rates for HD subtypes among adults in Mississippi from 1980 through 2013. Methods We used Mississippi Vital Statistics data to calculate age-specific mortality rates for HD subtypes for Mississippians age 35 and older. Cases were identified via underlying cause of death codes from the International Classification of Diseases, Ninth Revision (ICD-9) and Tenth Revision (ICD-10). We used Joinpoint software to calculate the average annual percent change (AAPC) in mortality rates for HD subtypes by race, sex, and age group. Results Overall, the age-adjusted coronary heart disease (CHD) mortality rate among Mississippi adults decreased by 62.7% between 1980 and 2013, with an AAPC of −3.0% (95% CI −3.7 to −2.3), while the age-adjusted heart failure mortality rate increased by 66.7%, with an AAPC of 1.4% (95% CI 0.5 to 2.3). Trends varied across HD subtypes: Annual rates of hypertensive HD mortality increased significantly for men, for individuals age 35 to 54, and for individuals age 75 and older. CHD mortality experienced a significant annual decrease among all race, sex, and age subgroups, while heart failure increased significantly among women, whites, and individuals age 75 and older. Conclusions From 1980 to 2013, CHD mortality decreased significantly while heart failure mortality increased significantly among adult Mississippians. However, HD subtype trends differed by race, sex, and age group

Genomic Evidence for Bacterial Determinants Influencing Obesity Development

Obesity is a major global public health problem requiring multifaceted interventional approaches including dietary interventions with probiotic bacteria. High-throughput genome sequencing of microbial communities in the mammalian gastrointestinal system continues to present diverse protein function information to understand the bacterial determinants that influence obesity development. The goal of the research reported in this article was to identify biological processes in probiotic bacteria that could influence the mechanisms for the extraction of energy from diet in the human gastrointestinal system. Our research strategy of combining bioinformatics and visual analytics methods was based on the identification of operon gene arrangements in genomes of Lactobacillus species and Akkermansia muciniphila that include at least a gene for a universal stress protein. The two major findings from this research study are related to Lactobacillus plantarum and Akkermansia muciniphila bacteria species which are associated with weight-loss. The first finding is that Lactobacillus plantarum strains have a two-gene operon that encodes a universal stress protein for stress response and the membrane translocator protein (TSPO), known to function in mitochondrial fatty acid oxidation in humans. The second finding is the presence of a three-gene operon in Akkermansia muciniphila that includes a gene whose human mitochondrial homolog is associated with waist-hip ratio and fat distribution. From a public health perspective, elucidation of the bacterial determinants influencing obesity will help in educating the public on optimal probiotic use for anti-obesity effects

Assessing the Racial and Ethnic Disparities in Breast Cancer Mortality in the United States

Breast cancer is the second leading cause of cancer related deaths among women aged 40–55 in the United States and currently affects more than one in ten women worldwide. It is also one of the most diagnosed cancers in women both in wealthy and poor countries. Fortunately, the mortality rate from breast cancer has decreased in recent years due to increased emphasis on early detection and more effective treatments in White population. Although the mortality rates have declined in some ethnic populations, the overall cancer incidence among African American and Hispanic populations has continued to grow. The goal of the present review article was to highlight similarities and differences in breast cancer morbidity and mortality rates primarily among African American women compared to White women in the United States. To reach our goal, we conducted a search of articles in journals with a primary focus on minority health, and authors who had published articles on racial/ethnic disparity related to breast cancer patients. A systematic search of original research was conducted using MEDLINE, PUBMED and Google Scholar databases. We found that racial/ethnic disparities in breast cancer may be attributed to a large number of clinical and non-clinical risk factors including lack of medical coverage, barriers to early detection and screening, more advanced stage of disease at diagnosis among minorities, and unequal access to improvements in cancer treatment. Many African American women have frequent unknown or unstaged breast cancers than White women. These risk factors may explain the differences in breast cancer treatment and survival rate between African American women and White women. New strategies and approaches are needed to promote breast cancer prevention, improve survival rate, reduce breast cancer mortality, and ultimately improve the health outcomes of racial/ethnic minorities

Concept mapping as a tool to engage a community in health disparity identification.

Concept mapping provided a mechanism for rapidly documenting community thinking about health disparities. This mechanism stimulated community dialog and was used as a first step toward the long-term goal of creating equal community, academic, and medical partnerships for addressing disparities. The concept mapping process stimulated critical thinking about contributors to health inequities and uncovered contextual factors previously unknown to researchers and public health planners. The process allowed for active engagement and exchange of knowledge between the community and researchers and allowed a mechanism for identifying and rectifying disconnects in knowledge within and between stakeholder groups