US Mortality: Influence of Race, Geography and Cardiovascular Risk Among Participants in the Population-Based REGARDS Cohort

Addressing disparities in the global epidemiology of stroke

Stroke is the second leading cause of death and the third leading cause of disability worldwide. Though the burden of stroke worldwide seems to have declined in the past three decades, much of this effect reflects decreases in high-income countries (HICs). By contrast, the burden of stroke has grown rapidly in low-income and middle-income countries (LMICs), where epidemiological, socioeconomic and demographic shifts have increased the incidence of stroke and other non-communicable diseases. Furthermore, even in HICs, disparities in stroke epidemiology exist along racial, ethnic, socioeconomic and geographical lines. In this Review, we highlight the under-acknowledged disparities in the burden of stroke. We emphasize the shifting global landscape of stroke risk factors, critical gaps in stroke service delivery, and the need for a more granular analysis of the burden of stroke within and between LMICs and HICs to guide context-appropriate capacity-building. Finally, we review strategies for addressing key inequalities in stroke epidemiology, including improvements in epidemiological surveillance and context-specific research efforts in under-resourced regions, development of the global workforce of stroke care providers, expansion of access to preventive and treatment services through mobile and telehealth platforms, and scaling up of evidence-based strategies and policies that target local, national, regional and global stroke disparities.

DECODING STROKE DISPARITIES: ZIP CODES, COLOR CODES, AND EPIGENETIC CODES

Despite decreases in overall stroke incidence and mortality in the United States, racial and ethnic disparities continue unabated. Of note, the long-standing disproportionate burden of stroke on African Americans compared to other racial and ethnic groups persists, and national projections indicate this toll will likely worsen over the next decade. Why have we not been able to bend the stroke disparities curve for African Americans? Well, this is mainly because traditional stroke risk factors, such as hypertension, diabetes, etc., account for just half of the Black vs. non-Hispanic White stroke disparity. As such, there is increasing interest in evaluating understudied factors like upstream social determinants of health, including geography, psychosocial stress, and environmental pollution; identifying potential mediators; and testing multilevel interventions to address them. This paper highlights emerging avenues that may help decode the excess stroke risk in African Americans, focusing on zip codes, color codes, and epigenetic codes.

Birth in the U.S. Plantation South and Racial Differences in all-cause mortality in later life

The American South has been characterized as a Stroke Belt due to high cardiovascular mortality. We examine whether mortality rates and race differences in rates reflect birthplace exposure to Jim Crow-era inequalities associated with the Plantation South. The plantation mode of agricultural production was widespread through the 1950s when older adults of today, if exposed, were children. We use proportional hazards models to estimate all-cause mortality in Non-Hispanic Black and White birth cohorts (1920-1954) in a sample (N = 21,941) drawn from REasons for Geographic and Racial Differences in Stroke (REGARDS), a national study designed to investigate Stroke Belt risk. We link REGARDS data to two U.S. Plantation Censuses (1916, 1948) to develop county-level measures that capture the geographic overlap between the Stroke Belt, two subregions of the Plantation South, and a non-Plantation South subregion. Additionally, we examine the life course timing of geographic exposure: at birth, adulthood (survey enrollment baseline), neither, or both portions of life. We find mortality hazard rates higher for Black compared to White participants, regardless of birthplace, and for the southern-born compared to those not southern-born, regardless of race. Race-specific models adjusting for adult Stroke Belt residence find birthplace-mortality associations fully attenuated among White-except in one of two Plantation South subregions-but not among Black participants. Mortality hazard rates are highest among Black and White participants born in this one Plantation South subregion. The Black-White mortality differential is largest in this birthplace subregion as well. In this subregion, the legacy of pre-Civil War plantation production under enslavement was followed by high-productivity plantation farming under the southern Sharecropping System.

Racial Disparity in Anthracycline-induced Cardiotoxicity in Breast Cancer Patients

Breast cancer has become the most common cancer in the US and worldwide. While advances in early detection and treatment have resulted in a 40% reduction in breast cancer mortality, this reduction has not been achieved uniformly among racial groups. A large percentage of non-metastatic breast cancer mortality is related to the cardiovascular effects of breast cancer therapies. These effects appear to be more prevalent among patients from historically marginalized racial/ethnic backgrounds, such as African American and Hispanic individuals. Anthracyclines, particularly doxorubicin and daunorubicin, are the first-line treatments for breast cancer patients. However, their use is limited by their dose-dependent and cumulative cardiotoxicity, manifested by cardiomyopathy, ischemic heart disease, arrhythmias, hypertension, thromboembolic disorders, and heart failure. Cardiotoxicity risk factors, such as genetic predisposition and preexisting obesity, diabetes, hypertension, and heart diseases, are more prevalent in racial/ethnic minorities and undoubtedly contribute to the risk. Yet, beyond these risk factors, racial/ethnic minorities also face unique challenges that contribute to disparities in the emerging field of cardio-oncology, including socioeconomic factors, food insecurity, and the inability to access healthcare providers, among others. The current review will address genetic, clinical, and social determinants that potentially contribute to this disparity.

A Structural Equation Modeling Analysis to Explore Diabetes Self-Care Factors in a Rural Sample

Diabetes is a public health problem that requires management to avoid health sequelae. Little is known about the determinants that influence diabetes self-care activities among rural populations. The purpose of this analysis was to explore the relationships among diabetes self-care activities, diabetes knowledge, perceived diabetes self-management, diabetes fatalism, and social support among an underserved rural group in the southern United States. A diabetes health promotion program was tested during a cluster randomized trial that tested a disease risk reduction program among adults living with prediabetes and diabetes. A structural equation model was fit to test psychosocial factors that influence diabetes self-care activities using the Information-Motivation-Behavioral Skills Model of Diabetes Self-Care (IMB-DSC) to guide the study. Perceived diabetes self-management significantly predicted self-care behaviors, and there was also a correlation between perceived diabetes self-management and diabetes fatalism. Perceived diabetes self-management influenced diabetes self-care activities in this rural sample and had an association with diabetes fatalism. The findings of this study can facilitate clinical care and community programs targeting diabetes and advance health equity among underserved rural groups.

Racial Inequities Across Rural Strata in Acute Stroke Care and In-Hospital Mortality: National Trends Over 6 Years

BACKGROUND

There are glaring racial and rural-urban inequities in stroke outcomes. The objective of this study was to determine whether there were recent changes to trends in racial inequities in stroke treatment and in-hospital mortality, and whether racial inequities differed across rural strata.

METHODS

Retrospective analysis of Black and White patients >18 years old admitted to US acute care hospitals with a primary discharge diagnosis of stroke (unweighted N=652 836) from the National Inpatient Sample from 2012 to 2017. Rural residence was classified by county as urban, town, or rural. The primary outcomes were intravenous thrombolysis and endovascular therapy use among patients with acute ischemic stroke, and in-hospital mortality for all stroke patients. Logistic regression models were run for each outcome adjusting for age, comorbidities, primary payer, and ZIP code median income.

RESULTS

The sample was 53% female, 81% White, and 19% Black. Black patients from rural areas had the lowest odds of receiving intravenous thrombolysis (adjusted odds ratio [aOR], 0.43 [95% CI, 0.37-0.50]) and endovascular therapy (aOR, 0.60 [0.46-0.78]), compared with White urban patients. Black rural patients were the least likely to be discharged home after a stroke compared with White/urban patients (aOR, 0.79 [0.75-0.83]), this was true for Black patients across the urban-rural spectrum when compared with Whites. Black patients from urban areas had lower mortality than White patients from urban areas (aOR, 0.87 [0.84-0.91]), while White patients from rural areas (aOR, 1.14 [1.10-1.19]) had the highest mortality of all groups.

CONCLUSIONS

Black patients living in rural areas represent a particularly high-risk group for poor access to advanced stroke care and impaired poststroke functional status. Rural White patients have the highest in-hospital mortality. Clinical and policy interventions are needed to improve access and reduce inequities in stroke care and outcomes.

The 2021 William Feinberg Award Lecture Seeking Glocal Solutions to Cerebrovascular Health Inequities

Global and local (“glocal”) disparities in stroke incidence, prevalence, care, and mortality are persistent, pervasive, and progressive. In particular, the disproportionate burden of stroke in people of African ancestry compared to most other racial/ethnic groups around the world has been long standing, is expected to worsen, and so far, has defied solution, largely because conventional risk factors likely account for less than half of the Black versus White disparity in stroke outcomes. While hypotheses such as a differential impact or inadequate evaluation of traditional risk factors by race have been suggested as potentially key factors contributing to lingering racial/ethnic stroke disparities, relatively understudied novel risk factors such as psychosocial stress, environmental pollution, and inflammation; and influences of the social determinants of health are gaining the most attention (and momentum). Moreover, it is increasingly recognized that while there is a lot still to understand, there needs to be a major shift from incessantly studying the problem, to developing interventions to resolve it. Resolution will likely require targeting multilevel factors, considering contemporaneous cross-national and cross-continental data collection, creating scalable care delivery models, jointly addressing care quality and community drivers of stroke occurrence, incorporating policy makers in planning/dissemination of successful interventions, and investing in robust transdisciplinary research training programs that address the interrelated issues of health equity and workforce diversity, and regional capacity building. To this end, our international multidisciplinary team has been involved in conducting several epidemiological studies and clinical trials in the area of stroke disparities, as well as executing career enhancing research training programs in the United States and Africa. This award lecture paper shares some of the lessons we have learnt from previous studies, presents objectives/design of ongoing initiatives, and discusses plans for the future.

Latent profile analysis of stress and resilience among rural women: A cross-sectional study

Stress is a cardiovascular disease risk factor, and resilience may serve as a buffer for stress. Little is known about stress and resilience among rural women.

OBJECTIVE

The purposes of this study were to identify profiles of rural women based upon indicators of psychosocial and environmental stress and to examine the relationships between the identified profiles and resilience.

DESIGN AND SAMPLE

A cross-sectional, descriptive design was used to explore stress, social support, and resilience among a representative sample of women (n = 354).

MEASURES

Data were collected to measure perceived stress, social support, chronic stress, and resilience.

RESULTS

A latent profile analysis identified three profiles (59.9% Low Stress, 25.4% Moderate Stress, and 14.7% High Stress). Women in the High Stress profile were less likely to afford necessities and have attended college and more likely to be employed. Women in the Low Stress profile had the highest scores for all five resilience subscales.

CONCLUSION

The current study demonstrates the social and environmental impact of stress and how this stress can manifest differently for different women. Underserved women may benefit from strategies that reduce stress and improve social support and resilience. Future research is needed for advancing health equity in rural populations.

Stress, Social Support, and Resilience in Younger Rural Women: A Structural Equation Model

Cardiovascular disease is a global public health problem and leading cause of death. Stress is a modifiable cardiovascular disease risk factor. The objectives of this study were to examine whether stress was a predictor of resilience among rural younger women and to explore whether social support mediated the relationship between acute stress and resilience and between chronic stress and resilience. The study had a cross-sectional, descriptive design. A total of 354 women were randomly recruited in the rural, southeastern United States. Survey instruments were used to collect data about acute stress, chronic stress, social support, and resilience. A structural equation model was fit to test whether social support mediated the relationship between perceived stress and resilience and between chronic stress and resilience. Chronic stress predicted family and belongingness support and all the resilience subscales: adaptability, emotion regulation, optimism, self-efficacy, and social support. Acute stress predicted the self-efficacy subscale of resilience. Family support partially mediated the relationship between chronic stress and self-efficacy. Belongingness support partially mediated the relationships between chronic stress and the social support subscale of resilience.

Fatalism, Social Support and Self-Management Perceptions among Rural African Americans Living with Diabetes and Pre-Diabetes

Diabetes is a public health problem and a major risk factor for cardiovascular disease, the leading cause of death in the United States. Diabetes is prevalent among underserved rural populations. The purposes of this study were to perform secondary analyses of existing clinical trial data to determine whether a diabetes health promotion and disease risk reduction intervention had an effect on diabetes fatalism, social support, and perceived diabetes self-management and to provide precise estimates of the mean levels of these variables in an understudied population. Data were collected during a cluster randomized trial implemented among African American participants (n = 146) in a rural, southern area and analyzed using a linear mixed model. The results indicated that the intervention had no significant effect on perceived diabetes management (p = 0.8), diabetes fatalism (p = 0.3), or social support (p = 0.4). However, the estimates showed that, in the population, diabetes fatalism levels were moderate (95% CI = (27.6, 31.3)), and levels of social support (CI = (4.0, 4.4)) and perceived diabetes self-management (CI = (27.7, 29.3)) were high. These findings suggest that diabetes fatalism, social support, and self-management perceptions influence diabetes self-care and rural health outcomes and should be addressed in diabetes interventions.

Trends in heart failure-related cardiovascular mortality in rural versus urban United States counties, 2011-2018: A cross-sectional study

BACKGROUND

Adults in rural counties in the United States (US) experience higher rates broadly of cardiovascular disease (CVD) compared with adults in urban counties. Mortality rates specifically due to heart failure (HF) have increased since 2011, but estimates of heterogeneity at the county-level in HF-related mortality have not been produced. The objectives of this study were 1) to quantify nationwide trends by rural-urban designation and 2) examine county-level factors associated with rural-urban differences in HF-related mortality rates.

METHODS AND FINDINGS

We queried CDC WONDER to identify HF deaths between 2011-2018 defined as CVD (I00-78) as the underlying cause of death and HF (I50) as a contributing cause of death. First, we calculated national age-adjusted mortality rates (AAMR) and examined trends stratified by rural-urban status (defined using 2013 NCHS Urban-Rural Classification Scheme), age (35-64 and 65-84 years), and race-sex subgroups per year. Second, we combined all deaths from 2011-2018 and estimated incidence rate ratios (IRR) in HF-related mortality for rural versus urban counties using multivariable negative binomial regression models with adjustment for demographic and socioeconomic characteristics, risk factor prevalence, and physician density. Between 2011-2018, 162,314 and 580,305 HF-related deaths occurred in rural and urban counties, respectively. AAMRs were consistently higher for residents in rural compared with urban counties (73.2 [95% CI: 72.2-74.2] vs. 57.2 [56.8-57.6] in 2018, respectively). The highest AAMR was observed in rural Black men (131.1 [123.3-138.9] in 2018) with greatest increases in HF-related mortality in those 35-64 years (+6.1%/year). The rural-urban IRR persisted among both younger (1.10 [1.04-1.16]) and older adults (1.04 [1.02-1.07]) after adjustment for county-level factors. Main limitations included lack of individual-level data and county dropout due to low event rates (<20).

CONCLUSIONS

Differences in county-level factors may account for a significant amount of the observed variation in HF-related mortality between rural and urban counties. Efforts to reduce the rural-urban disparity in HF-related mortality rates will likely require diverse public health and clinical interventions targeting the underlying causes of this disparity.

The southern rural health and mortality penalty: A review of regional health inequities in the United States

Rural-urban differences in morbidity and mortality across the United States have been well documented and termed the "rural mortality penalty". However, research studies frequently treat rural areas as homogeneous and often do not account for geospatial variability in rural health risks by both county, state, region, race, and sex within the United States. Additionally, people living in the rural South of the US have higher rates of morbidity and mortality compared to both their urban counterparts and other rural areas. Of those living in southern rural communities, people of color experience higher rates of death and disease compared to white populations. Although there is a wealth of research that uses individual-level behaviors to explain rural-urban health disparities, there is less focus on how community and structural factors influence these differences. This review focuses on the "southern rural health penalty", a term coined by the authors, which refers to the high rate of mortality and morbidity in southern rural areas in the USA compared to both urban areas and non-southern rural places. We use macrosocial determinants of health to explain possible reasons for the "southern rural health penalty". This review can guide future research on rural health between southern and non-southern populations in the US and examine if macrosocial determinants of health can explain health disparities within southern rural populations.

Characterization of Fetal Thyroid Levels at Delivery among Appalachian Infants

Thyroid disorders are a frequently encountered issue during pregnancy and a cause of maternal and fetal morbidity. In regions like Appalachia that are particularly susceptible to health disparities, descriptive studies are needed to assist in identifying pathologic derangements. We sought to characterize fetal thyroid hormone levels at delivery and investigate whether or not maternal demographic characteristics affect the prevalence of neonatal thyroid disease. A cross-sectional analysis was conducted on 130 pregnant women recruited from the Tri-State region, incorporating areas of Kentucky, Ohio, and West Virginia. Total triiodothyronine (T3) (p = 0.4799), free T3 (p = 0.6323), T3 uptake (p = 0.0926), total thyroxine (T4) (p = 0.8316), free T4 (p = 0.0566), and Thyroid stimulating hormone (TSH) (p = 0.8745) levels were comparable between urban and rural newborns. We found no effect of hypertension status or nicotine levels on fetal umbilical cord thyroid hormone levels. Maternal diabetic status was associated with lower T4 (p = 0.0099) and free T4 (p = 0.0025) levels. Cotinine affected levels of T4 (p = 0.0339). In regard to maternal Body Mass Index (BMI), there was an increase in total T3 as BMI increased (p = 0.0367) and no significant difference in free T3, T3 uptake, T4, free T4, or TSH. There was a negative correlation between TSH and 1 min Apgar scores (p = 0.0058). Lead and cadmium have been implicated to alter TSH levels, but no correlation was found in our study (r² = 0.0277). There were no differences in cord blood between urban (37.3 ± 10.3 fmol/ug DNA) and rural (70.5 ± 26.8 fmol/ug DNA) benzo(a)pyrene DNA adducts (p = 0.174). Thyroid disorders present a unique opportunity for the prevention of perinatal morbidity and mortality, since maternal treatment, as well as maternal demographic characteristics, can have direct fetal effects.

Associations of serum uric acid with incident dementia and cognitive decline in the ARIC-NCS cohort

INTRODUCTION

Elevated serum uric acid (SUA) is associated with cardiovascular risk factors, which often contribute to dementia and dementia-like morbidity, yet several cross-sectional studies have shown protective associations with cognition, which would be consistent with other work showing benefits of elevated SUA through its antioxidant properties.

METHODS

We studied 11,169 participants free of dementia and cardiovascular disease from the Atherosclerosis Risk in Communities (ARIC) cohort. SUA was measured in blood samples collected in 1990-92, baseline for this study (age range 47-70 years). Incident dementia was ascertained based on clinical assessments in 2011-13 and 2016-17, surveillance based on dementia screeners conducted over telephone interviews, hospitalization discharge codes, and death certificates. Cognitive function was assessed up to four times between 1990 and 92 and 2016-17. We estimated the association of SUA, categorized into quartiles, with incidence of dementia using Cox regression models adjusting for potential confounders. The association between cognitive decline and SUA was assessed using generalized estimating equations.

RESULTS

Over a median follow-up period of 24.1 years, 2005 cases of dementia were identified. High baseline SUA was associated with incident dementia (HR, 1.29; 95% CI, 1.12, 1.47) when adjusted for sociodemographic variables. However, after further adjustment including cardiovascular risk factors, this relationship disappeared (HR, 1.03; 95% CI, 0.88, 1.21). Elevated baseline SUA was associated with faster cognitive decline even after further adjustment (25-year global z-score difference, -0.149; 95% CI, -0.246, -0.052).

CONCLUSION

Higher levels of mid-life SUA were associated with faster cognitive decline, but not necessarily with higher risk of dementia.

Interactive Relations Across Dimensions of Interpersonal-Level Discrimination and Depressive Symptoms to Carotid Intimal-Medial Thickening in African Americans

OBJECTIVE

This study aimed to examine within-race interactions of multiple dimensions of self-reported discrimination with depressive symptoms in relation to carotid intimal-medial thickness (IMT), a subclinical marker of atherosclerosis prospectively implicated in stroke incidence, in middle-aged to older African American and white adults.

METHODS

Participants were a socioeconomically diverse group of 1941 African Americans (56.5%) and whites from the Healthy Aging in Neighborhoods of Diversity across the Life Span study (30-64 years old, 47% men, 45.2% with household income <125% federal poverty threshold) who underwent carotid IMT measurement. Discrimination was assessed across four dimensions (everyday, frequency across various social statuses, racial, and lifetime burden). The Center for Epidemiologic Studies Depression scale was used to assess depressive symptoms.

RESULTS

In cross-sectional hierarchical regression analyses, two interactions were observed in African Americans: more frequent discrimination across various social statuses (b < 0.001, p = .006) and a higher lifetime discrimination burden (b < 0.001, p = .02) were each related to thicker carotid IMT in those with greater depressive symptoms. No significant findings were observed within whites.

CONCLUSIONS

Among African Americans, those reporting high levels of discrimination and depressive symptoms have increased carotid atherosclerosis and may be at greater risk for clinical end points compared with those reporting one or neither of these risk factors. Findings suggest that assessment of interactive relationships among social and psychological factors may elucidate novel pathways for cardiovascular disease, including stroke, among African Americans.

Cardiovascular Diseases in African Americans: Fostering Community Partnerships to Stem the Tide

In 2002, the Institute of Medicine highlighted community partnerships as important in strategies for ensuring the public's health in the 21st century. Whether defined narrowly as the neighborhood or more broadly as the entire nation, communities represent settings in which health is supported and protected by healthy social connections and environments or risked and damaged by detrimental social, environmental, and policy determinants, as well as adverse behavioral and lifestyle choices. In this article, cardiovascular disease in African Americans is used as an example to highlight the successes achieved during the last half-century in reducing mortality rates, the persisting challenge of suboptimal adoption of evidence-based practices to promote community health and prevent disease, and the still widespread and pervasive health disparities. The article concludes with a call for the scientific community to embrace implementation research in strategic partnership with community stakeholders to stem the tide of cardiovascular disease and reduce related cardiovascular health disparities.

Cardiovascular disease risk among rural residents living with diabetes and prediabetes: A cluster randomized trial

OBJECTIVE

Diabetes is a major health problem that is closely linked with cardiovascular disease (CVD), the leading cause of death in the United States. The purpose of this analysis was to determine the effect of a culturally relevant diabetes health promotion program on diabetes knowledge and self-reported self-care behaviors.

DESIGN

A cluster randomized controlled trial was conducted in 12 rural church settings. Seven churches were randomized to the intervention group and five to the control group.

SAMPLE

The sample included 146 African American participants diagnosed with diabetes and prediabetes.

INTERVENTION

The intervention group participants (n = 75) received the diabetes health program, and those in the control group (n = 71) group received a publicly available diabetes health brochure.

MEASURES

Data were collected about diabetes knowledge, self-care activities, fatalism, and social support.

RESULTS

Linear mixed model was the statistical test used to analyze group differences. Compared with the control group, the intervention group showed significant changes from pretest to posttest for diabetes knowledge and behaviors associated with diet and blood glucose testing.

CONCLUSION

Health promotion programs implemented by public health nurses among rural groups at increased risk for developing CVD can facilitate understanding about strategies to reduce disease risk.

Mortality and trends in stroke patients with seizures: A contemporary nationwide analysis

OBJECTIVE

Seizures are frequent among stroke patients. The goal of this study was to provide updated trends in seizures prevalence and mortality among hospitalized stroke patients.

METHODS

Data from the National Inpatient Sample was used to estimate trends in seizures prevalence among stroke patients as well as mortality by seizures status, between 2006 and 2014. We used a logistic regression model to examine the association between seizures and mortality, accounting for extraneous factors.

RESULTS

Overall 372,957 patients (6%) stroke patients had a secondary diagnosis of seizures. We found 29% higher odds of in-hospital death among stroke patients with a secondary diagnosis of seizures. The prevalence of seizures was more than two times higher among patients with hemorrhagic stroke (11.4%) compared to those with ischemic strokes (4.8%). The prevalence of seizures among stroke patients was 6.6% and 6.2% for all strokes, 12.6% and 12% for hemorrhagic strokes, and 5.3% and 5% for ischemic strokes respectively in 2006 and 2014. Although there was a steady decline in both groups, mortality rate among hospitalized stroke patients with seizures was consistently higher than in those without seizures for all strokes, ischemic strokes, and hemorrhagic strokes. Compared to patients with ischemic stroke and seizures, mortality rate was higher among patients with hemorrhagic stroke and seizures.

SIGNIFICANCE

Seizures were present in nearly one out of 15 patients hospitalized for stroke and were more frequent among those with hemorrhagic stroke. There was a decline in mortality among stroke patients during the study period, which remained significantly higher in patients with seizures than in patients without seizures, and in those with hemorrhagic stroke compared to those with ischemic stroke.

Unraveling Race, Socioeconomic Factors, and Geographical Context in the Heterogeneity of Lupus Mortality in the United States

Objective

Systemic lupus erythematosus (SLE) is a chronic autoimmune disease disproportionately affecting women and racial/ethnic minorities. We examined SLE-related mortality over time to assess whether the impact of race is attenuated when social economic status (SES) and geographic context are also considered.

Methods

This study examined whether social environment attenuates racial disparities in SLE-related mortality using race-geographical combinations of the US population known as the "Eight Americas." This framework jointly characterizes race, SES, and geographical location in relation to health disparities in the United States. Using National Vital Statistics and US Census data, we estimated mortality parameters for each of the Eight Americas.

Results

We identified 24 773 SLE deaths (2003-2014). Average annual mortality rates were highest among blacks in three race-geographical contexts: average-income blacks, southern low-income blacks, and high-risk urban blacks (14 to 15 deaths per million population) and lowest among nonblacks living in average-income settings (3 to 4 deaths per million population). Age at death was lowest (~47.5 years) for blacks and Asians and highest among low-income rural whites (~64.8 years).

Conclusion

Blacks sharing the same social and geographical contexts as whites were disproportionately more likely to die young. Although blacks inhabited three vastly different contexts, SLE-related mortality parameters did not vary among socially advantaged and disadvantaged blacks. These findings suggest that race may transcend SES and geographical parameters as a key determinant of SLE-related mortality.

Influencing cardiovascular health habits in the rural, deep south: results of a cluster randomized trial

Cardiovascular disease (CVD) is a major cause of death among people living in the United States. Populations, especially minorities, living in the rural South are disproportionately affected by CVD and have greater CVD risk, morbidity and mortality. Culturally relevant cardiovascular health programs implemented in rural community settings can potentially reduce CVD risk and facilitate health behavior modification. The purpose of this study was to examine the effects of a cardiovascular health promotion intervention on the health habits of a group of rural African American adults. The study had a cluster randomized controlled trial design involving 12 rural churches that served as statistical clusters. From the churches (n = 6) randomized to the intervention group, 115 participants were enrolled, received the 6-week health program and completed pretest-posttest measures. The 114 participants from the control group churches (n = 6) did not receive the health program and completed the same pretest-posttest measures. The linear mixed model was used to compare group differences from pretest to posttest. The educational health intervention positively influenced select dietary and confidence factors that may contribute toward CVD risk reduction.

Rural and urban differences in prenatal exposure to essential and toxic elements

Excess or inadequate levels of inorganic ions may induce significant acute and long-term irreversible dysfunction in humans. The fetus and placenta are particularly vulnerable to toxins due to the immaturity of the blood-brain barrier and diminished biotransformation enzymatic activity. A comparative cross-sectional study was conducted on 172 pregnant women, 79 rural, and 93 urban. Umbilical cord blood was collected at the time of delivery and analyzed for 20 inorganic elements. Significant differences were found between urban and rural samples for two elements where copper (Cu) and molybdenum (Mo) were higher in urban samples. No marked differences between groups occurred for: arsenic, barium, cadmium, calcium, cobalt, lead, lithium, magnesium, manganese, mercury, selenium, strontium, or zinc. All samples were devoid of platinum, silver, thallium or uranium. Data demonstrated significant differences in urban and rural prenatal exposure to Cu and Mo. Further study is needed to determine if there is a causal link between neonatal outcomes and prenatal exposure to these elements.

Factors Associated with Atraumatic Posterosuperior Rotator Cuff Tears

BACKGROUND

Certain metabolic factors have been proposed as risk factors for a posterosuperior rotator cuff tear. Although metabolic syndrome is of increasing concern in industrialized societies, little information exists regarding its association with posterosuperior rotator cuff tears. The purpose of this study was to determine the risk factors for an atraumatic posterosuperior rotator cuff tear, including metabolic factors and metabolic syndrome.

METHODS

This study involved 634 subjects (634 shoulders) drawn from a cohort of rural residents. Posterosuperior rotator cuff tear diagnoses were based on magnetic resonance imaging (MRI) findings. Logistic regression analysis was used to determine the odds ratios (ORs) and 95% confidence intervals (CIs) for various demographic, physical, and social factors, including age, sex, dominant-side involvement, body mass index (BMI), and participation in manual labor; the comorbidities of diabetes, hypertension, dyslipidemia, thyroid dysfunction, ipsilateral carpal tunnel syndrome, and metabolic syndrome; and the serum metabolic parameters of serum lipid profile, glycosylated hemoglobin A1c, and level of thyroid hormone. Two multivariable analyses were performed: the first excluded metabolic syndrome while including diabetes, hypertension, BMI, and hypo-high-density lipoproteinemia (hypo-HDLemia), and the second included metabolic syndrome while excluding the formerly included variables.

RESULTS

Age, BMI, waist circumference, dominant-side involvement, manual labor, diabetes, hypertension, metabolic syndrome, ipsilateral carpel tunnel syndrome, HDL (high-density lipoprotein), and hypo-HDLemia were significantly associated with posterosuperior rotator cuff tears in univariate analyses (p ≤ 0.035). In the first multivariable analysis, age (OR. 1.86 [95% CI, 1.47 to 2.35]), BMI (OR, 1.09 [95% CI, 1.02 to 1.18]), dominant-side involvement (OR, 2.04 [95% CI, 1.38 to 3.01]), manual labor (OR, 9.48 [95% CI, 5.13 to 17.51]), diabetes (OR, 3.38 [95% CI, 1.98 to 5.77]), and hypo-HDLemia (OR, 2.07 [95% CI, 1.30 to 3.29]) were significantly associated with posterosuperior rotator cuff tears (p ≤ 0.019). In the second multivariable analysis, age (OR, 1.85 [95% CI, 1.48 to 2.31]), dominant-side involvement (OR, 1.83 [95% CI, 1.26 to 2.67]), manual labor (OR, 7.71 [95% CI, 4.33 to 13.73]), and metabolic syndrome (OR, 1.98 [95% CI, 1.35 to 2.91]) were significantly associated with posterosuperior rotator cuff tears (p ≤ 0.002).

CONCLUSIONS

The metabolic factors of diabetes, BMI, hypo-HDLemia, and metabolic syndrome were significant independent factors associated with the development of posterosuperior rotator cuff tears.

LEVEL OF EVIDENCE

Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.

Improving Cardiovascular Disease Knowledge among Rural Participants: The Results of a Cluster Randomized Trial

Cardiovascular disease (CVD) is a major cause of death and disability, especially among people living in the rural, southern United States. Rural African Americans are often diagnosed with CVD earlier in life, and they bear a disproportionate burden of CVD risk factors, morbidity, and mortality. Health equity among historically underserved, rural populations can potentially be attained through culturally relevant interventions that teach people skills to stay well and avoid CVD-related risk and diagnoses. The purpose of this secondary analysis was to determine the effect of an evidence-based intervention on cardiovascular health knowledge and the stages of change toward the action and maintenance phases. The pre-test-post-test data were obtained during a cluster randomized trial involving twelve rural churches that were randomized to intervention (n = 6) and control (n = 6) groups. Participants (n = 115) in the intervention group received a cardiovascular health intervention, and those (n = 114) in the control group could receive the intervention following the study’s completion. The data were analyzed using a linear mixed model to compare group differences from pre-test to post-test. The cardiovascular health promotion intervention significantly improved cardiovascular health knowledge and was associated with advancements in the stages of change toward the action and maintenance phases.