Seroprevalence of Chlamydia trachomatis, herpes simplex 2, Epstein-Barr virus, hepatitis C and associated factors among a cohort of men ages 18-70 years from three countries.

OBJECTIVES: To estimate the seroprevalence of Chlamydia trachomatis (CT), herpes simplex type-2 (HSV2), hepatitis C (HCV), Epstein-Barr virus (EBV) and nine human papilloma virus (HPV) types, and investigated factors associated with the seropositivity among men from three countries (Brazil, Mexico and U.S). METHODS: Archived serum specimens collected at enrollment for n = 600 men were tested for antibodies against CT, HSV2, HCV, EBV, and 9-valent HPV vaccine types (6/11/16/18/31/33/45/52/58) using multiplex serologic assays. Socio-demographic, lifestyle and sexual behavior data at enrollment were collected through a questionnaire. RESULTS: Overall, 39.3% of the men were seropositive for CT, 25.4% for HSV2, 1.3% for HCV, 97.3% for EBV, 14.0% for at least one of the seven oncogenic HPV (types: 16/18/31/33/45/52/58), and 17.4% for HPV 6/11. In the unadjusted models, age, race, smoking, sexual behavior variables, and seropositivity for high-risk HPV were significantly associated with the seropositivity for CT. In multivariable analyses, self-reported black race, higher numbers of lifetime female/male sexual partners, current smoking, and seropositivity to high-risk HPV were significantly associated with increased odds of CT seropositivity. Odds of HSV2 seroprevalence were elevated among older men and those seropositive for high risk HPV. CONCLUSION: Exposure to STIs is common among men. Prevention and screening programs should target high-risk groups to reduce the disease burden among men, and to interrupt the disease transmission to sexual partners.

Chronic disease and socioeconomic factors among uninsured patients: A retrospective study.

OBJECTIVES: Uninsured patients represent an understudied population. The current study aimed to estimate the burden of 10 common chronic conditions and to investigate the associated factors among patients who use free clinics for their health care needs. METHODS: Patient charts from four free clinics were reviewed from January to December of 2015. Proportion of prevalence, adjusted odds ratios (AOR), and 95% confidence intervals (CI) for associations between participant characteristics and chronic conditions are reported. RESULTS: Prevalence of hypertension and hyperlipidemia significantly differed by clinic, age, gender, race, and marital status. Compared to age 15-44 years, older patients (45-64 years, and ≥65) were 5-10 times more likely to suffer from hypertension. Compared to women, men; compared to White, African-Americans; and compared to single, married patients had higher prevalences of hypertension. Older patients were 5-8 times more likely to suffer from hyperlipidemia. Asians, and married patients were also more likely to experience hyperlipidemia. Prevalence of diabetes, depression and arthritis significantly differed by age and race. Prevalence of coronary artery disease and chronic obstructive pulmonary disease increased 6-13 folds among older patients. DISCUSSION: Patients of free clinics suffer from high burden of chronic conditions. Patients who frequent free clinics are primarily older, unemployed, women, minorities, and are of low income.

Integrating Datasets on Public Health and Clinical Aspects of Sickle Cell Disease for Effective Community-Based Research and Practice.

Sickle cell disease (SCD) is a genetic disease that has multiple aspects including public health and clinical aspects. The goals of the research study were to (1) understand the public health aspects of sickle cell disease, and (2) understand the overlap between public health aspects and clinical aspects that can inform research and practice beneficial to stakeholders in sickle cell disease management. The approach involved the construction of datasets from textual data sources produced by experts on sickle cell disease including from landmark publications published in 2020 on sickle cell disease in the United States. The interactive analytics of the integrated datasets that we produced identified that community-based approaches are common to both public health and clinical aspects of sickle cell disease. An interactive visualization that we produced can aid the understanding of the alignment of governmental organizations to recommendations for addressing sickle cell disease in the United States. From a global perspective, the interactive analytics of the integrated datasets can support the knowledge transfer stage of the SICKLE recommendations (Skills transfer, Increasing self-efficacy, Coordination, Knowledge transfer, Linking to adult services, and Evaluating readiness) for effective pediatric to adult transition care for patients with sickle cell disease. Considering the increased digital transformations resulting from the COVID-19 pandemic, the constructed datasets from expert recommendations can be integrated within remote digital platforms that expand access to care for individuals living with sickle cell disease. Finally, the interactive analytics of integrated expert recommendations on sickle cell disease management can support individual and team expertise for effective community-based research and practice.

Our practice is our passion: development and delivery of a 21st-century doctor of public health program.

Twenty-first century advances have significantly altered the functions of public health professionals, resulting in a need for advanced level training in community health leadership and practice-oriented research without interruption of professional careers. We present an example of an innovative Doctor of Public Health (DrPH) program developed at the University of South Florida College of Public Health. This program incorporates 21st century public health competencies within a competency-based curricular model, delivered in a hybrid format (fall or spring online delivery and a 1-week face-to-face summer institute) in collaboration between academic and practice-based public health professionals at local and national levels. This revised competency-based program is an example of how to meet the needs of the 21st century public health practitioners while maintaining their connections to the practice world.

Photonovels: an innovative approach to address health disparities and sustainability.

Medically underserved and underrepresented communities have high rates of health disparities. In the greater Tampa Bay area, communities of color are disproportionately affected by chronic diseases such as cancer. In response to these concerns and as part of a lay health advisory program being implemented by the Center for Equal Health, a University of South Florida/H. Lee Moffitt Cancer Center & Research Institute partnership, our group created a photonovel, an educational tool which explains topics using a graphic novel style. The photonovel was designed to educate community members about prostate cancer and was compared to standard cancer educational materials currently used for cancer outreach. We found that our photonovel served as an effective health education tool to address cancer health disparities in medically underserved and underrepresented populations in Tampa Bay.

Designing a community-based lay health advisor training curriculum to address cancer health disparities.

INTRODUCTION: Racial and ethnic minorities have disproportionately higher cancer incidence and mortality than their White counterparts. In response to this inequity in cancer prevention and care, community-based lay health advisors (LHAs) may be suited to deliver effective, culturally relevant, quality cancer education, prevention/screening, and early detection services for underserved populations. APPROACH AND STRATEGIES: Consistent with key tenets of community-based participatory research (CBPR), this project engaged community partners to develop and implement a unique LHA training curriculum to address cancer health disparities among medically underserved communities in a tricounty area. Seven phases of curriculum development went into designing a final seven-module LHA curriculum. In keeping with principles of CBPR and community engagement, academic-community partners and LHAs themselves were involved at all phases to ensure the needs of academic and community partners were mutually addressed in development and implementation of the LHA program. DISCUSSION AND CONCLUSIONS: Community-based LHA programs for outreach, education, and promotion of cancer screening and early detection, are ideal for addressing cancer health disparities in access and quality care. When community-based LHAs are appropriately recruited, trained, and located in communities, they provide unique opportunities to link, bridge, and facilitate quality cancer education, services, and research.

Assessing the impact of paternal involvement on racial/ethnic disparities in infant mortality rates.

We sought to assess the contribution of paternal involvement to racial disparities in infant mortality. Using vital records data from singleton births in Florida between 1998 and 2005, we generated odds ratios (OR), 95% confidence intervals (CI), and preventative fractions to assess the association between paternal involvement and infant mortality. Paternal involvement status was based on presence/absence of paternal first and/or last name on the birth certificate. Disparities in infant mortality were observed between and within racial/ethnic subpopulations. When compared to Hispanic (NH)-white women with involved fathers, NH-black women with involved fathers had a two-fold increased risk of infant mortality whereas infants born to black women with absent fathers had a seven-fold increased risk of infant mortality. Elevated risks of infant mortality were also observed for Hispanic infants with absent fathers (OR = 3.33. 95%CI = 2.66-4.17). About 65-75% of excess mortality could be prevented with increased paternal involvement. Paternal absence widens the black-white gap in infant mortality almost four-fold. Intervention programs to improve perinatal paternal involvement may decrease the burden of absent father-associated infant mortality.

An ecological approach to understanding black-white disparities in perinatal mortality.

Despite appreciable improvement in the overall reduction of infant mortality in the United States, black infants are twice as likely to die within the first year of life as white infants, even after controlling for socioeconomic factors. There is consensus in the literature that a complex web of factors contributes to racial health disparities. This paper presents these factors utilizing the socioecological framework to underscore the importance of their interaction and its impact on birth outcomes of Black women. Based on a review of evidence-based research on Black-White disparities in infant mortality, we describe in this paper a missing potent ingredient in the application of the ecological model to understanding Black-White disparities in infant mortality: the historical context of the Black woman in the United States. The ecological model suggests that birth outcomes are impacted by maternal and family characteristics, which are in turn strongly influenced by the larger community and society. In addition to infant, maternal, family, community and societal characteristics, we present research linking racism to negative birth outcomes and describe how it permeates and is embedded in every aspect of the lives of African American women. Understanding the contribution of history to the various factors of life of Black women in the United States will aid in developing more effective policies and programs to reduce Black infant mortality.

The superobese mother and ethnic disparities in preterm birth.

OBJECTIVES: We assessed the association between preterm birth and obesity subtypes across racial/ethnic groups. METHODS: We analyzed data on 540981 women from birth cohort files for the State of Florida from 2004 to 2007. Obese women were categorized using body mass index (BMI) values as class I obese (30.0 < or = BMI < or = 34.9), class II obese (35.0 < or = BMI < or = 39.9), class III or extremely obese (40 < or = BMI < or = 49.9), and superobese (BMI > or = 50.0). Logistic regression was used to obtain adjusted estimates. RESULTS: About 28% of women were obese, with the highest rate (40.9%) registered among black gravidas, while whites and Hispanics had comparable rates (24.3% vs 25.5%, respectively). Superobesity was also most prevalent in blacks (1.3%). Among obese women, the risk for preterm birth was greatest among blacks (OR, 1.71; 95% CI, 1.65-1.77), while whites (OR, 1.15; 95% CI, 1.12-1.19) and Hispanics (OR, 1.22; 95% CI, 1.18-1.27) had significantly lower and comparable risk levels. CONCLUSIONS: Extremely obese and superobese women are emerging high-risk groups for adverse birth outcomes, and black women appear to bear the heaviest burden. The disproportionately rising trend in extreme forms of obesity among black women is of utmost concern and represents a clarion call for infusion of more resources into obesity prevention programs in black communities.

Maternal prepregnancy underweight and risk of early and late stillbirth in black and white gravidas.

OBJECTIVE: The association between underweight and stillbirth remains poorly defined, especially across racial/ethnic sub-populations. We investigate the association of pre-pregnancy underweight on the risk for early and late stillbirth among black and white mothers. METHODS: We conducted analysis on the Missouri maternally linked data files covering the period 1989-1997 inclusive. Using body mass index (BMI), we categorized mothers as underweight (BMI <18.5) and normal weight (BMI = 18.5-24.9). By applying logistic regression modeling with adjustment for intracluster correlation, we estimated the risk for total, early (-28 weeks of gestation), and late stillbirth (>28 weeks of gestation) among black and white mothers. RESULTS: A total of 1808 cases of stillbirth were registered. The rate of stillbirth among white mothers was 3.7 per 1000, while the rate among blacks was 7.1 per 1000. Underweight black mothers had comparable risk for total (OR, 0.9; 95% CI, 0.7-1.2), early (OR, 1.1; 95% CI, 0.8-1.5), and late stillbirth (OR, 0.8; 95% CI, 0.5-1.2) as compared to their normal-weight counterparts. By contrast, underweight white gravidas had a 30% reduced likelihood (OR, 0.7; 95% CI, 0.6-0.9) for late stillbirth as compared to normal-weight white mothers. However, the risks for total and early stillbirth among underweight white mothers were similar to those of normal-weight white mothers. CONCLUSION: Low prepregnancy BMI has similar effects on fetal survival in both blacks and whites except for late stillbirth. The underweight white survival advantage over blacks in late pregnancy could probably be due to greater access for identified white at-risk groups to effective obstetrical interventions as previously reported.

Patterns and success of fetal programming among women with low and extremely low pre-pregnancy BMI.

PURPOSE: To estimate the frequency of fetal programming phenotypes among women with low BMI and the success of these programming patterns-to determine if small for gestational age (SGA) is a biologically adaptive mechanism to improve chances for infant survival. METHODS: We examined the frequency of fetal programming phenotypes: SGA, large for gestational age (LGA), and adequate for gestational age (AGA) among 1,063,888 singleton live births from 1978 to 1997. We also estimated the success of fetal programming phenotypes using neonatal death as the primary study outcome. RESULTS: Underweight gravidas with AGA and LGA babies had elevated risk of neonatal mortality when compared to normal weight mothers, while the risk for neonatal mortality among mothers with SGA babies was reduced. CONCLUSIONS: The variation in relative degrees of fetal programming patterns and success observed suggests that underweight mothers are more likely to succeed in programming SGA fetuses rather than any other phenotype.