The contributions of selected diseases to disparities in death rates and years of life lost for racial/ethnic minorities in the United States, 1999-2010

Racial Concordance on Healthcare Use within Hispanic Population Subgroups

OBJECTIVE

To examine the association of patient-provider racial and ethnic concordance on healthcare use within Hispanic ethnic subgroups.

METHODS

We estimate multivariate probit models using data from the Medical Expenditure Panel Survey, the only national data source measuring how patients use and pay for medical care, health insurance, and out-of-pocket spending. We collect and utilize data on preventive care visits, visits for new health problems, and visits for ongoing health problems from survey years 2007-2017 to measure health outcomes. Additionally, we include data on race and ethnicity concordance, non-health-related socioeconomic and demographic factors, health-related characteristics, provider communication characteristics, and provider location characteristics in the analysis. The sample includes 59,158 observations: 74.3% identified as Mexican, 10.6% identified as Puerto Rican, 5.1% identified as Cuban, 4.8% identified as Dominican, and 5.2% classified in the survey as Other Hispanics. Foreign-born respondents comprised 56% of the sample. A total of 8% (4678) of cases in the sample involved Hispanic provider-patient concordance.

RESULTS

Hispanic patient-provider concordance is statistically significant and positively associated with higher probabilities of seeking preventive care (coef=.211, P<.001), seeking care for a new problem (coef=.208, P<.001), and seeking care for an ongoing problem (coef=.208, P<.001). We also find that the association is not equal across the Hispanic subgroups. The association is lowest for Mexicans in preventive care (coef=.165, P<.001) and new problems (coef=.165, P<.001) and highest for Cubans in preventive care (coef=.256, P<.001) and ongoing problems (coef=.284, P<.001). Results are robust to the interaction of the Hispanic patient-provider concordance for the Hispanic patient categories and being foreign-born.

CONCLUSIONS

In summary, racial disparities were observed in health utilization within Hispanic subgroups. While Hispanic patient-provider concordance is statistically significant in associating with healthcare utilization, the findings indicate that this association varies across Hispanic subpopulations. The observations suggest the importance of disaggregating Hispanic racial and ethnic categories into more similar cultural or origin groups. Linked with the existence of significant differences in mortality and other health outcomes across Hispanic subgroups, our results have implications for the design of community health promotion activities which should take these differences into account. Studies or community health programs which utilize generalized findings about Hispanic populations overlook differences across subgroups which may be crucial in promoting healthcare utilization.

African American patients have a higher probability of cognitive impairment after incident stroke: An analysis of national electronic health record data

BACKGROUND

Cognitive impairment (CI) and stroke are diseases with significant disparities in race and geography. Post stroke cognitive impairment (PSCI) can be as high as 15-70 % but few studies have utilized large administrative or electronic health records (EHR) to evaluate trends in PSCI. We utilized an EHR database to evaluate for disparities in PSCI in a large sample of patients after first recorded stroke to evaluate for disparities in race.

METHODS

This is a retrospective cohort analysis of Cerner Health Facts® EHR database, which is comprised of EHR data from hundreds of hospitals/clinics in the US from 2009-2018. We evaluated patients ≥40 years of age with a first time ischemic stroke (IS) diagnosis for PSCI using ICD9/10 codes for both conditions. Patients with first stroke in the Cerner database and no pre-existing cognitive impairment were included, we compared hazard ratios for developing PSCI for patient characteristics RESULTS: A total of 150,142 IS patients with follow-up data and no pre-existing evidence of CI were evaluated. Traditional risk factors of age, female sex, kidney injury, hypertension, and hyperlipidemia were associated with PSCI. Only African American stroke survivors had a higher probability of developing PSCI compared to White survivors (HR 1.347, 95 % CI (1.270, 1.428)) and this difference was most prominent in the South. Among those to develop PSCI, median time to documentation was 1.8 years in African American survivors.

CONCLUSION

In a large national database, African American stroke survivors had a higher probability of PSCI five years after stroke than White survivors.

Risk Factors for Cardiovascular-Specific Mortality in Patients With Prostate Cancer: A Surveillance, Epidemiology, and End Results (SEER)-Based Study

BACKGROUND

Prostate cancer (PC) is responsible for large numbers of cancer-related deaths in males worldwide, and it has been linked to an increase in cardiovascular morbidity and mortality (CVM). The purpose of this research is to identify the incidence and risk factors for CVM in PC patients.

METHODS

In this retrospective cohort study, we collected data from patients with PC diagnosed between 2000 and 2014 from the Surveillance, Epidemiology, and End Results (SEER) database. CVM among PC patients was identified and compared to the general population using the standardized mortality ratio (SMR). The multivariable competing risk model with subdistribution hazard ratio (SHR) was used to analyze the data in a more complex method to discover the risk factors associated with CVM among PC patients.

RESULTS

Of the 171,147 identified PC patients, the median survival time was 117 months, with 17,168 dying from cardiovascular disease (CVD). Patients diagnosed at age 45-54 had a higher CVM risk than the age-standardized general population (SMR (95% CI): 19.01 (17.17-21.0)). Using multivariate competing risk regression analysis, aged 85 and older (SHR (95% CI): 20.9 (18.628-23.467)), black ethnicities (SHR (95% CI): 1.3 (1.264-1.398)), and patients without surgical intervention (SHR (95% CI): 1.35 (1.305-1.410)) had higher CVM. On the other hand, being of Asian/Pacific Islander or American Indian/Native Alaskan ethnicity (SHR (95% CI): 0.94 (0.891-0.993)), being diagnosed between 2007 and 2014 (SHR (95% CI): 0.63 (0.613-0.655)), and having an advanced disease stage and a lack of disease differentiation in the histology were found to be related with a lower CVM.

CONCLUSION

Patients with PC have a greater likelihood of dying from CVD. Several important risk factors for CVD have been discovered, including advanced age, black ethnicity, and patients without surgical intervention. These findings are limited by the retrospective nature of the analysis, relying solely on the SEER database, which imposes restrictions on accessing comprehensive patient data, including lifestyle factors and medical history.

A Comprehensive 16-Year Analysis of National Center for Health Statistics Data on the Top Three Causes of Death Before Age 75 by Sex, Race, and Hispanic Origin

OBJECTIVE

 This study aimed to conduct a comprehensive 16-year analysis of years of potential life lost (YPLL) due to leading causes of death in the United States, focusing on disparities by sex, race/ethnicity, and specific causes of death using the National Center for Health Statistics (NCHS) data.

METHODS

 Data from the NCHS spanning 2000-2016 were included. Age-adjusted YPLL rates per 100,000 population were analyzed, stratified by sex, race/ethnicity, and leading causes of death, including malignant neoplasms, heart disease, and cerebrovascular diseases.

RESULTS

 Over 16 years, the total YPLL rate was 7,036.2 per 100,000 population. Males had a higher YPLL rate (8,852.5 per 100,000) than females (5,259.9 per 100,000). Among racial/ethnic groups, Black/African Americans had the highest YPLL rate (10,896.8 per 100,000), followed by American Indian/Alaska Natives (7,310.0 per 100,000), Hispanics/Latinos (5,256.8 per 100,000), and Asians/Pacific Islanders (3,279.7 per 100,000). Leading causes included malignant neoplasms (1,451.6 per 100,000), heart diseases (1,055.4 per 100,000), and cerebrovascular diseases (182.3 per 100,000).

CONCLUSION

This analysis spanning 16 years highlights notable disparities in YPLL rates among different demographic groups. These differences are evident in the YPLL rates for males, which are higher than those for females. The YPLL rate is most pronounced among Black/African Americans, followed by American Indian/Alaska Natives, Hispanics/Latinos, and Asians/Pacific Islanders. The primary contributors to YPLL are malignant neoplasms, heart diseases, and cerebrovascular diseases. These findings emphasize the importance of addressing these disparities to enhance public health outcomes and mitigate the premature loss of life. Despite progress, disparities persist, highlighting the need for targeted interventions and further research.

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.

Cause-specific mortality by county, race, and ethnicity in the USA, 2000-19: a systematic analysis of health disparities

BACKGROUND

Large disparities in mortality exist across racial-ethnic groups and by location in the USA, but the extent to which racial-ethnic disparities vary by location, or how these patterns vary by cause of death, is not well understood. We aimed to estimate age-standardised mortality by racial-ethnic group, county, and cause of death and describe the intersection between racial-ethnic and place-based disparities in mortality in the USA, comparing patterns across health conditions.

METHODS

We applied small-area estimation models to death certificate data from the US National Vital Statistics system and population data from the US National Center for Health Statistics to estimate mortality by age, sex, county, and racial-ethnic group annually from 2000 to 2019 for 19 broad causes of death. Race and ethnicity were categorised as non-Latino and non-Hispanic American Indian or Alaska Native (AIAN), non-Latino and non-Hispanic Asian or Pacific Islander (Asian), non-Latino and non-Hispanic Black (Black), Latino or Hispanic (Latino), and non-Latino and non-Hispanic White (White). We adjusted these mortality rates to correct for misreporting of race and ethnicity on death certificates and generated age-standardised results using direct standardisation to the 2010 US census population.

FINDINGS

From 2000 to 2019, across 3110 US counties, racial-ethnic disparities in age-standardised mortality were noted for all causes of death considered. Mortality was substantially higher in the AIAN population (all-cause mortality 1028·2 [95% uncertainty interval 922·2-1142·3] per 100 000 population in 2019) and Black population (953·5 [947·5-958·8] per 100 000) than in the White population (802·5 [800·3-804·7] per 100 000), but substantially lower in the Asian population (442·3 [429·3-455·0] per 100 000) and Latino population (595·6 [583·7-606·8] per 100 000), and this pattern was found for most causes of death. However, there were exceptions to this pattern, and the exact order among racial-ethnic groups, magnitude of the disparity in both absolute and relative terms, and change over time in this magnitude varied considerably by cause of death. Similarly, substantial geographical variation in mortality was observed for all causes of death, both overall and within each racial-ethnic group. Racial-ethnic disparities observed at the national level reflect widespread disparities at the county level, although the magnitude of these disparities varied widely among counties. Certain patterns of disparity were nearly universal among counties; for example, in 2019, mortality was higher among the AIAN population than the White population in at least 95% of counties for skin and subcutaneous diseases (455 [97·8%] of 465 counties with unmasked estimates) and HIV/AIDS and sexually transmitted infections (458 [98·5%] counties), and mortality was higher among the Black population than the White population in nearly all counties for skin and subcutaneous diseases (1436 [96·6%] of 1486 counties), diabetes and kidney diseases (1473 [99·1%]), maternal and neonatal disorders (1486 [100·0%] counties), and HIV/AIDS and sexually transmitted infections (1486 [100·0%] counties).

INTERPRETATION

Disparities in mortality among racial-ethnic groups are ubiquitous, occurring across locations in the USA and for a wide range of health conditions. There is an urgent need to address the shared structural factors driving these widespread disparities.

FUNDING

National Institute on Minority Health and Health Disparities; National Heart, Lung, and Blood Institute; National Cancer Institute; National Institute on Aging; National Institute of Arthritis and Musculoskeletal and Skin Diseases; Office of Disease Prevention; and Office of Behavioral and Social Sciences Research, US National Institutes of Health.

Racial, Ethnic, and Socioeconomic Inequities in Access to Left Atrial Appendage Occlusion

Background Inequitable access to high-technology therapeutics may perpetuate inequities in care. We examined the characteristics of US hospitals that did and did not establish left atrial appendage occlusion (LAAO) programs, the patient populations those hospitals served, and the associations between zip code-level racial, ethnic, and socioeconomic composition and rates of LAAO among Medicare beneficiaries living within large metropolitan areas with LAAO programs. Methods and Results We conducted cross-sectional analyses of Medicare fee-for-service claims for beneficiaries aged 66 years or older between 2016 and 2019. We identified hospitals establishing LAAO programs during the study period. We used generalized linear mixed models to measure the association between zip code-level racial, ethnic, and socioeconomic composition and age-adjusted rates of LAAO in the most populous 25 metropolitan areas with LAAO sites. During the study period, 507 candidate hospitals started LAAO programs, and 745 candidate hospitals did not. Most new LAAO programs opened in metropolitan areas (97.4%). Compared with non-LAAO centers, LAAO centers treated patients with higher median household incomes (difference of $913 [95% CI, $197-$1629], P=0.01). Zip code-level rates of LAAO procedures per 100 000 Medicare beneficiaries in large metropolitan areas were 0.34% (95% CI, 0.33%-0.35%) lower for each $1000 zip code-level decrease in median household income. After adjustment for socioeconomic markers, age, and clinical comorbidities, LAAO rates were lower in zip codes with higher proportions of Black or Hispanic patients. Conclusions Growth in LAAO programs in the United States had been concentrated in metropolitan areas. LAAO centers treated wealthier patient populations in hospitals without LAAO programs. Within major metropolitan areas with LAAO programs, zip codes with higher proportions of Black and Hispanic patients and more patients experiencing socioeconomic disadvantage had lower age-adjusted rates of LAAO. Thus, geographic proximity alone may not ensure equitable access to LAAO. Unequal access to LAAO may reflect disparities in referral patterns, rates of diagnosis, and preferences for using novel therapies experienced by racial and ethnic minority groups and patients experiencing socioeconomic disadvantage.

Functional Limitations and Physical Health in Community-Dwelling Medicare Advantage Beneficiaries: Variation by Race and Hispanic Subgroup

Objectives: The objective is to examine racial and ethnic heterogeneity in older adults' functional limitations and physical health. Methods: Data were from 2011 to 2015 Health Outcomes Survey of Medicare Advantage beneficiaries 65 and older (N = 828,946). Outcomes were Physical Component Summary (PCS) scores and need for assistance with activities of daily living (ADLs). Six non-Hispanic racial groups and five Hispanic subgroups were analyzed. Regression models adjusted for sociodemographic and health characteristics. Results: White and Asian respondents had the lowest unadjusted ADL difficulty rates and highest PCS scores. In adjusted analyses, Cuban respondents had the highest PCS scores and lowest rates of any ADL difficulty; White respondents had the lowest rates of specific ADL difficulties. Native Hawaiian or other Pacific Islander and multiple Hispanic respondents had the highest ADL difficulty rates. Discussion: Both the healthiest and highest need subgroups of Medicare Advantage beneficiaries were Hispanic. Understanding racial and ethnic subgroup differences may help target interventions to prevent or aid with functional limitations.

C-reactive Protein and Racial Differences in Type 2 Diabetes Incidence: The REGARDS Study

CONTEXT

Black adults experience more type 2 diabetes mellitus and higher inflammatory markers, including C-reactive protein (CRP), than White adults. Inflammatory markers are associated with risk of incident diabetes but the impact of inflammation on racial differences in incident diabetes is unknown.

OBJECTIVE

We assessed whether CRP mediated the Black-White incident diabetes disparity.

METHODS

The REasons for Geographic And Racial Differences in Stroke (REGARDS) study enrolled 30 239 US Black and White adults aged ≥45 years in 2003-2007 with a second visit approximately 10 years later. Among participants without baseline diabetes, adjusted sex- and race-stratified risk ratios for incident diabetes at the second visit by CRP level were calculated using modified Poisson regression. Inverse odds weighting estimated the percent mediation of the racial disparity by CRP.

RESULTS

Of 11 073 participants without baseline diabetes (33% Black, 67% White), 1389 (12.5%) developed diabetes. Black participants had higher CRP at baseline and greater incident diabetes than White participants. Relative to CRP < 3 mg/L, CRP ≥ 3 mg/L was associated with greater risk of diabetes in all race-sex strata. Black participants had higher risk of diabetes at CRP < 3 mg/L, but not at CRP ≥ 3 mg/L. In women, CRP mediated 10.0% of the racial difference in incident diabetes. This mediation was not seen in men.

CONCLUSION

Higher CRP is a risk factor for incident diabetes, but the excess burden of diabetes in Black adults was only seen in those with lower CRP, suggesting that inflammation is unlikely to be the main driver of this racial disparity.

Biomarkers as MEDiators of racial disparities in risk factors (BioMedioR): Rationale, study design, and statistical considerations

PURPOSE

Relative to White adults, Black adults have a substantially higher prevalence of hypertension and diabetes, both key risk factors for stroke, cardiovascular disease, cognitive impairment, and dementia. Blood biomarkers have shown promise in identifying contributors to racial disparities in many chronic diseases.

METHODS

We outline the study design and related statistical considerations for a nested cohort study, the Biomarker Mediators of Racial Disparities in Risk Factors (BioMedioR) study, within the 30,239-person biracial REasons for Geographic And Racial Differences in Stroke (REGARDS) study (2003-present). Selected biomarkers will be assessed for contributions to racial disparities in risk factor development over median 9.4 years of follow-up, with initial focus on hypertension, and diabetes. Here we outline study design decisions and statistical considerations for the sampling of 4,400 BioMedioR participants.

RESULTS

The population for biomarker assessment was selected using a random sample study design balanced across race and sex to provide the optimal opportunity to describe association of biomarkers with the development of hypertension and diabetes. Descriptive characteristics of the BioMedioR sample and analytic plans are provided for this nested cohort study.

CONCLUSIONS

This nested biomarker study will examine pathways with the target to help explain racial differences in hypertension and diabetes incidence.

Equity in Genomics: A Brief Report on Cardiovascular Health Disparities in African American Adults

BACKGROUND

African Americans are more likely to die from cardiovascular disease (CVD) than all other populations in the United States. Although technological advances have supported rapid growth in applying genetics/genomics to address CVD, most research has been conducted among European Americans. The lack of African American representation in genomic samples has limited progress in equitably applying precision medicine tools, which will widen CVD disparities if not remedied.

PURPOSE

This report summarizes the genetic/genomic advances that inform precision health and the implications for cardiovascular disparities in African American adults. We provide nurse scientists recommendations for becoming leaders in developing precision health tools that promote population health equity.

CONCLUSIONS

Genomics will continue to drive advances in CVD prevention and management, and equitable progress is imperative. Nursing should leverage the public's trust and its widespread presence in clinical and community settings to prevent the worsening of CVD disparities among African Americans.

Racism as a Root Cause Approach: A New Framework

The field of public health has identified racial health disparities as a chief concern for decades. Although there has been a myriad of published articles in which researchers describe the severity and complexity of these disparities, they persist into present day relatively unchanged. We believe this lack of progress can be explained, in part, by a failure to acknowledge that racism is at the root of these racial disparities. Many children's health advocates believe more should be done to address our country's systemic racial inequities, but few of us feel able to create meaningful change, and even fewer feel that it is our responsibility. As a result, many opt to pursue programmatic fixes and Band-Aid solutions over addressing the underlying systemic, interpersonal, and historical racism. We hope to empower children's health advocates by introducing a solutions-centered framework for addressing racism as a root cause. This approach can help guide and structure the important work of dismantling racism so Black, Indigenous, and other racially marginalized families can finally have an equal opportunity for good health.

Rural Counties With Majority Black Or Indigenous Populations Suffer The Highest Rates Of Premature Death In The US

Despite well-documented health disparities by rurality and race/ethnicity, research investigating racial/ethnic health differences among US rural residents is limited. We used county-level data to measure and compare premature death rates in rural counties by each county's majority racial/ethnic group. Premature death rates were significantly higher in rural counties with a majority of non-Hispanic black or American Indian/Alaska Native (AI/AN) residents than in rural counties with a majority of non-Hispanic white residents. After we adjusted for community-level covariates, differences in premature death remained significant in counties with a majority of AI/AN residents but not those with a majority of non-Hispanic black residents. This study highlights the particular vulnerability of non-Hispanic black and AI/AN rural communities to high rates of premature mortality. Policies to improve rural health should focus on these racially diverse communities, addressing economic vitality and current and historical political context to mitigate health inequities and the harmful health effects of neglecting social determinants of health.

A nationwide analysis of outcomes of stroke in hospitalized patients with essential thrombocythemia: 2006 to 2014

BACKGROUND

Essential thrombocythemia (ET) is a subtype of myeloproliferative neoplasm associated with an increased risk of thrombohemorrhagic complications such as stroke. However, studies of prevalence and outcomes of stroke in hospitalized patients with ET have been limited to case series.

METHODS

Data from the National Inpatient Sample was utilized to identify outcomes in hospitalized patient with ET who were admitted for stroke. Utilizing the current procedural terminology code (CPT) for ET, outcomes of patients with ET who were hospitalized with stroke were studied for the years 2006 to 2014. Patient demographics of age, gender and race were collected and hospital characteristics of location and size were correlated to outcomes. Chi square test was used to determine odds ratios and multiple logistic regression was used to determine independent predictors of mortality.

RESULTS

Between the years of 2006 to 2014, a total of 552422 hospitalizations involved patients with a diagnosis of ET, 20650 of which were due to stroke. The percentage of stroke in these hospitalizations varied between 3.64 to 4.29 over 9 years and mortality in these patients did not significantly change during this time period. The prevalence of stroke was highest amongst Asians and Caucasians (4.7% and 3.86%) with a statistically significant difference (P=0.0000). A majority of ET patients with stroke were discharged to skilled nursing facilities. Multiple regression showed that female gender, atrial fibrillation, stroke, higher Charlson's comorbidity score and 80+ age were independent predictors of mortality (OR: 0.75, 1.35, 1.8, 2 to 5.7, 13.9 respectively).

CONCLUSIONS

This study demonstrated that Female gender, atrial fibrillation, stroke, higher Charlson's comorbidity score and 80+ age group were found to be statistically significant independent predictors of mortality (OR: 0.75, 1.35, 1.8, 2 to 5.7, 13.9 respectively) in patients with ET and stroke. Inclusion of these factors in the risk stratification of patients with ET may decrease the morbidity and mortality associated with the disease.

Addressing inequities in COVID-19 morbidity and mortality: research and policy recommendations

The COVID-19 pandemic is the greatest global public health crisis since the 1918 influenza outbreak. As of early June, the novel coronavirus has infected more than 6.3 million people worldwide and more than 1.9 million in the United States (US). The total number of recorded deaths due to COVID-19 are growing at an alarming rate globally (³383,000) and nationally (³109,000) Evidence is mounting regarding the heavier burden of COVID-19 infection, morbidity, and mortality on the underserved populations in the US. This commentary focuses on this global health pandemic and how mitigation of the virus relies heavily on health behavior change to slow its spread, highlighting how the pandemic specifically affects the most socially and economically disadvantaged populations in the US. The commentary also offers short, intermediate and long-term research and policy focused recommendations. Both the research and policy recommendations included in this commentary emphasize equity-driven: (1) research practices, including applying a social determinants and health equity lens on monitoring, evaluation, and clinical trials activities on COVID-19; and (2) policy actions, such as dedicating resources to prioritize high-risk communities for testing, treatment, and prevention approaches and implementing organizational, institutional, and legislative policies that address the social and economic barriers to overall well-being that these populations face during a pandemic. It is our hope that these recommendations will generate momentum in delivering timely, effective, and lifesaving changes.

Mental Health Attribution for Mexican-Origin Latinx and Non-Latinx Older Adults: A Latent Class Analysis

Background and Objectives

Providing appropriate and culturally sensitive care to the rapidly growing number of U.S. Latinx older adults with psychiatric conditions presents a major public health challenge. We know little about older Latinx adults’ perceived causes of mental health problems, offering clinicians limited insight to guide successful and culturally congruent treatment. Moreover, there is a paucity of mental health research examining heterogeneity in how Latinx individuals may attribute mental health symptoms. The present study sought to identify how Latinx and non-Latinx older adults attributed the sources of their mental health problems and how these types of attributions differ by ethnicity.

Research Design and Methods

This study analyzed data collected from a retrospective chart review and survey of 673 adults aged 55–95 years (430 Mexican origin and 244 non-Latinx) from a rural psychiatric outpatient clinic near the California–Mexico border. We conducted stratified latent class analysis (LCA) by race/ethnicity to explore the mental health attribution beliefs of Mexican-origin and non-Latinx clinic patients.

Results

Different LCA patterns for Mexican-origin Latinx versus non-Latinx groups were found. For non-Latinx adults, there was a class of individuals who attributed their mental health issues to social and financial problems. For Mexican-origin adults, there was a class of individuals who attributed their mental health issues to spiritual and/or supernatural factors, unaffected by acculturation level, depressive symptom severity, and time spent in the United States, but differing by gender. We found within-group heterogeneity: Not all Mexican-origin or non-Latinx older adults were alike in how they conceptualized their mental health.

Discussion and Implications

Mexican-origin Latinx and non-Latinx older adults attributed their mental health issues to different causes. More Mexican-origin older adults attributed their symptoms to spiritual causes, even after controlling for contextual factors. Further research is needed to determine whether attribution beliefs are affected by specific mental health diagnoses and other cultural factors not measured in this study.

Black-White Differences in Cardiovascular Disease Mortality: A Prospective US Study, 2003-2017

Objectives. To determine factors that explain the higher Black:White cardiovascular disease (CVD) mortality rates among US adults.Methods. We analyzed data from the Reasons for Geographic and Racial Differences in Stroke study from 2003 to 2017 to estimate Black:White hazard ratios (HRs) for CVD mortality within subgroups younger than 65 years and aged 65 years or older.Results. Among 29 054 participants, 41.0% who were Black and 54.9% who were women, 1549 CVD deaths occurred. Among participants younger than 65 years, the demographic-adjusted Black:White CVD mortality HR was 2.23 (95% confidence interval [CI] = 1.87, 2.65) and 1.21 (95% CI = 1.00, 1.47) after full adjustment. Among participants aged 65 years or older, the demographic-adjusted Black:White CVD mortality HR was 1.58 (95% CI = 1.39, 1.79) and 1.12 (95% CI = 0.97, 1.29) after full adjustment. When we used mediation analysis, socioeconomic status explained 21.2% (95% CI = 13.6%, 31.4%) and 38.0% (95% CI = 20.9%, 61.7%) of the Black:White CVD mortality risk difference among participants younger than 65 years and aged 65 years or older, respectively. CVD risk factors explained 56.6% (95% CI = 42.0%, 77.2%) and 41.3% (95% CI = 22.9%, 65.3%) of the Black:White CVD mortality difference for participants younger than 65 years and aged 65 years or older, respectively.Conclusions. The higher Black:White CVD mortality risk is primarily explained by racial differences in socioeconomic status and CVD risk factors.

Sex and Race Differences in the Association of Incident Ischemic Stroke With Risk Factors

Importance

Race-specific and sex-specific stroke risk varies across the lifespan, yet few reports describe sex differences in stroke risk separately in black individuals and white individuals.

Objective

To examine incidence and risk factors for ischemic stroke by sex for black and white individuals.

Design, Setting, and Participants

This prospective cohort study included participants 45 years and older who were stroke-free from the Reasons for Geographic and Racial Differences in Stroke (REGARDS) cohort, enrolled from the continental United States 2003 through 2007 with follow-up through October 2016. Data were analyzed from March 2018 to September 2018.

Exposures

Sex and race.

Main Outcomes and Measures

Physician-adjudicated incident ischemic stroke, self-reported race/ethnicity, and measured and self-reported risk factors.

Results

A total of 25 789 participants (14 170 women [54.9%]; 10 301 black individuals [39.9%]) were included. Over 222 120 person-years of follow-up, 939 ischemic strokes occurred: 159 (16.9%) in black men, 326 in white men (34.7%), 217 in black women (23.1%), and 237 in white women (25.2%). Between 45 and 64 years of age, white women had 32% lower stroke risk than white men (incidence rate ratio [IRR], 0.68 [95% CI, 0.49-0.94]), and black women had a 28% lower risk than black men (IRR, 0.72 [95% CI, 0.52-0.99]). Lower stroke risk in women than men persisted at age 65 through 74 years in white individuals (IRR, 0.71 [95% CI, 0.55-0.94]) but not in black individuals (IRR, 0.94 [95% CI, 0.68-1.30]); however, the race-sex interaction was not significant. At 75 years and older, there was no sex difference in stroke risk for either race. For white individuals, associations of systolic blood pressure (women: hazard ratio [HR], 1.13 [95% CI, 1.05-1.22]; men: 1.04 [95% CI, 0.97-1.11]; P = .099), diabetes (women: HR, 1.84 [95% CI, 1.35-2.52]; men: 1.13 [95% CI, 0.86-1.49]; P = .02), and heart disease (women: HR, 1.76 [95% CI, 1.30-2.39]; men, 1.26 [95% CI, 0.99-1.60]; P = .09) with stroke risk were larger for women than men, while antihypertensive medication use had a smaller association in women than men (women: HR, 1.17 [95% CI, 0.89-1.54]; men: 1.61 [95% CI, 1.29-2.03]; P = .08). In black individuals, there was no evidence of a sex difference for any risk factors.

Conclusions and Relevance

For both races, at age 45 through 64 years, women were at lower stroke risk than men, and there was no sex difference at 75 years or older; however, the sex difference pattern may differ by race from age 65 through 74 years. The association of risk factors on stroke risk differed by race-sex groups. While the need for primordial prevention, optimal management, and control of risk factors is universal across all age, racial/ethnic, and sex groups, some demographic subgroups may require earlier and more aggressive strategies.

Identifying County-Level All-Cause Mortality Rate Trajectories and Their Spatial Distribution Across the United States

INTRODUCTION

All-cause mortality in the United States declined from 1935 through 2014, with a recent uptick in 2015. This national trend is composed of disparate local trends. We identified distinct groups of all-cause mortality rate trajectories by grouping US counties with similar temporal trajectories.

METHODS

We used all-cause mortality rates in all US counties for 1999 through 2016 and estimated discrete mixture models by using county level mortality rates. Proc Traj in SAS was used to detect how county trajectories clustered into groups on the basis of similar intercepts, slopes, and higher order terms. Models with increasing numbers of groups were assessed on the basis of model fit. We created county-level maps of mortality trajectory groups by using ArcGIS.

RESULTS

Eight unique trajectory groups were detected among 3,091 counties. The average mortality rate in the most favorable trajectory group declined 29.4%, from 592.3 deaths per 100,000 in 1999 to 418.2 in 2016. The least favorable mortality trajectory group declined 3.4% over the period, from 1,280.3 deaths per 100,000 to 1,236.9. We saw significant differences in the demographic and socioeconomic profiles and geographic patterns across the trajectory categories, with favorable mortality trajectories in the Northeast, Midwest, and on the West Coast and unfavorable trajectories concentrated in the Southeast.

CONCLUSIONS

County-level disparities in all-cause mortality rates widened over the past 18 years. Further investigation of the determinants of the trajectory groupings and the geographic outliers identified by our research could inform interventions to achieve equitable distribution of county mortality rates.

Global incidence of suicide among Indigenous peoples: a systematic review

BACKGROUND

Suicide is the second leading cause of death among adolescents worldwide, and is a major driver of health inequity among Indigenous people in high-income countries. However, little is known about the burden of suicide among Indigenous populations in low- and middle-income nations, and no synthesis of the global data is currently available. Our objective was to examine the global incidence of suicide among Indigenous peoples and assess disparities through comparisons with non-Indigenous populations.

METHODS

We conducted a systematic review of suicide rates among Indigenous peoples worldwide and assessed disparities between Indigenous and non-Indigenous populations. We performed text word and Medical Subject Headings searches in PubMed, MEDLINE, Embase, Cumulative Index of Nursing and Allied Health (CINAHL), PsycINFO, Latin American and Caribbean Health Sciences Literature (LILACS), and Scientific Electronic Library Online (SciELO) for observational studies in any language, indexed from database inception until June 1, 2017. Eligible studies examined crude or standardized suicide rates in Indigenous populations at national, regional, or local levels, and examined rate ratios for comparisons to non-Indigenous populations.

RESULTS

The search identified 13,736 papers and we included 99. Eligible studies examined suicide rates among Indigenous peoples in 30 countries and territories, though the majority focused on populations in high-income nations. Results showed that suicide rates are elevated in many Indigenous populations worldwide, though rate variation is common, and suicide incidence ranges from 0 to 187.5 suicide deaths per 100,000 population. We found evidence of suicide rate parity between Indigenous and non-Indigenous populations in some contexts, while elsewhere rates were more than 20 times higher among Indigenous peoples.

CONCLUSIONS

This review showed that suicide rates in Indigenous populations vary globally, and that suicide rate disparities between Indigenous and non-Indigenous populations are substantial in some settings but not universal. Including Indigenous identifiers and disaggregating national suicide mortality data by geography and ethnicity will improve the quality and relevance of evidence that informs community, clinical, and public health practice in Indigenous suicide prevention.

Are Statutory Requirements Followed in the Certification of Traumatic, Unexpected, and Unattended Deaths in Missouri?

Medical examiners and coroners (ME/Cs) investigate deaths important to public health. This cross-sectional study evaluated 343,412 death certificates from 2007 to 2012 in Missouri. We examined agreement between cause and manner of death by year and ME/C contact as well as 2010-2012 trends in ME/C contact. There was near perfect agreement between cause and manner of death when an ME/C was contacted (kappa=0.97, p < 0.0001) and a significant increase in the proportion of deaths with ME/C contact from 2010 to 2012 (p =< 0.0001). There was a significantly higher proportion of ME/C-certified deaths using the electronic system in 2010-2012 (aOR = 1.18, 95% CI 1.15, 1.21) compared to the manual system in 2007-2009. Black, non-Hispanic (aOR = 1.50, 95% CI 1.43,1.57) and Hispanic (aOR = 1.31, 95% CI 1.13, 1.51) deaths, compared to White, non-Hispanic deaths, were associated with a significantly greater odds of ME/C certification. Race as an independent predictor of ME/C death certification warrants further research.

Hispanic health in the USA: a scoping review of the literature

Hispanics are the largest minority group in the USA. They contribute to the economy, cultural diversity, and health of the nation. Assessing their health status and health needs is key to inform health policy formulation and program implementation. To this end, we conducted a scoping review of the literature and national statistics on Hispanic health in the USA using a modified social-ecological framework that includes social determinants of health, health disparities, risk factors, and health services, as they shape the leading causes of morbidity and mortality. These social, environmental, and biological forces have modified the epidemiologic profile of Hispanics in the USA, with cancer being the leading cause of mortality, followed by cardiovascular diseases and unintentional injuries. Implementation of the Affordable Care Act has resulted in improved access to health services for Hispanics, but challenges remain due to limited cultural sensitivity, health literacy, and a shortage of Hispanic health care providers. Acculturation barriers and underinsured or uninsured status remain as major obstacles to health care access. Advantageous health outcomes from the "Hispanic Mortality Paradox" and the "Latina Birth Outcomes Paradox" persist, but health gains may be offset in the future by increasing rates of obesity and diabetes. Recommendations focus on the adoption of the Health in All Policies framework, expanding access to health care, developing cultural sensitivity in the health care workforce, and generating and disseminating research findings on Hispanic health.

Obesity, Diabetes, and Birth Outcomes Among American Indians and Alaska Natives

Objectives To examine the relationships between prepregnancy diabetes mellitus (DM), gestational diabetes mellitus (GDM), and prepregnancy body mass index, with several adverse birth outcomes: preterm delivery (PTB), low birthweight (LBW), and macrosomia, comparing American Indians and Alaska Natives (AI/AN) with other race/ethnic groups. Methods The sample includes 5,193,386 singleton US first births from 2009-2013. Logistic regression is used to calculate adjusted odds ratios controlling for calendar year, maternal age, education, marital status, Kotelchuck prenatal care index, and child's sex. Results AI/AN have higher rates of diabetes than all other groups, and higher rates of overweight and obesity than whites or Hispanics. Neither overweight nor obesity predict PTB for AI/AN, in contrast to other groups, while diabetes predicts increased odds of PTB for all groups. Being overweight predicts reduced odds of LBW for all groups, but obesity is not predictive of LBW for AI/AN. Diabetes status also does not predict LBW for AI/AN; for other groups, LBW is more likely for women with DM or GDM. Overweight, obesity, DM, and GDM all predict higher odds of macrosomia for all race/ethnic groups. Conclusions for Practice Controlling diabetes in pregnancy, as well as prepregnancy weight gain, may help decrease preterm birth and macrosomia among AI/AN.

Cultivating the Role of Nurse Practitioners in Providing Primary Care to Vulnerable Populations in an Era of Health-Care Reform

The evolving role of nurse practitioners (NPs) as primary care providers, especially for vulnerable populations, is central to the debate regarding strategies to address the growing need for primary care services. The current article provides policy recommendations for leveraging and expanding the historic role of NPs in caring for vulnerable populations, by focusing on three key policy levers: NP scope-of-practice regulation, distribution of the NP workforce, and NP education. These policy levers must go hand in hand to build a sufficient and equitably distributed NP workforce, to help meet the escalating need for primary care in an era of health-care reform.

Indoor and outdoor falls among older adult trauma patients: A comparison of patient characteristics, associated factors and outcomes

AIM

The aim of the present study was to examine significant differences in patient characteristics, associated factors and outcomes for indoor versus outdoor falls among trauma patients.

METHODS

A retrospective cross-sectional study using data from the trauma registry and electronic medical records at a level 1 trauma center in the USA was carried out. People aged 55 years or older, for whom fall location could be identified (n = 712), were included in the study. Demographic information, functional status before admission, comorbid conditions, activation level, Injury Severity Score, discharge disposition and injury type were included in the comparative analyses. Associated factors for falls and fractures in each location were also examined using logistic regression.

RESULTS

Significant differences were found in patient characteristics between indoor and outdoor fallers. Significant differences in outcomes were found related to discharge disposition and injury type. Open wounds were more common among outdoor fallers (26.5%) as compared with indoor fallers (16.3%, P = 0.002). Although disorders of joints with difficulty walking were associated with fractures among both indoor (OR 7.20, CI 2.19-23.66) and outdoor fallers (OR 5.65, CI 1.27-25.06), sex was only associated with fractures among those who fell indoors (OR 1.69 CI 1.12-2.56).

CONCLUSIONS

Significant differences exist in characteristics of indoor and outdoor fallers, and for discharge disposition and injury type for each fall location among patients admitted for trauma care. Factors associated with fractures differ between indoor and outdoor fallers. Results can help to inform targeted primary and secondary prevention initiatives. Geriatr Gerontol Int 2017; 17: 905-912.

Rates of Atrial Fibrillation in Black Versus White Patients With Pacemakers

BACKGROUND

Black US residents experience higher rates of ischemic stroke than white residents but have lower rates of clinically apparent atrial fibrillation (AF), a strong risk factor for stroke. It is unclear whether black persons truly have less AF or simply more undiagnosed AF.

METHODS AND RESULTS

We obtained administrative claims data from state health agencies regarding all emergency department visits and hospitalizations in California, Florida, and New York. We identified a cohort of patients with pacemakers, the regular interrogation of which reduces the likelihood of undiagnosed AF. We compared rates of documented AF or atrial flutter at follow-up visits using Kaplan-Meier survival statistics and Cox proportional hazards models adjusted for demographic characteristics and vascular risk factors. We identified 10 393 black and 91 380 white patients without documented AF or atrial flutter before or at the index visit for pacemaker implantation. During 3.7 (±1.8) years of follow-up, black patients had a significantly lower rate of AF (21.4%; 95% CI 19.8-23.2) than white patients (25.5%; 95% CI 24.9-26.0). After adjustment for demographic characteristics and comorbidities, black patients had a lower hazard of AF (hazard ratio 0.91; 95% CI 0.86-0.96), a higher hazard of atrial flutter (hazard ratio 1.29; 95% CI 1.11-1.49), and a lower hazard of the composite of AF or atrial flutter (hazard ratio 0.94; 95% CI 0.88-99).

CONCLUSIONS

In a population-based sample of patients with pacemakers, black patients had a lower rate of AF compared with white patients. These findings indicate that the persistent racial disparities in rates of ischemic stroke are likely to be related to factors other than undiagnosed AF.

Social and Medical Determinants of Cardiometabolic Health: The Big Picture

Cardiometabolic diseases, including diabetes and heart disease, account for >12 million years of life lost annually among Black adults in the United States. Health disparities are geographically localized, with ~80% of health disparities occurring within ~6000 (16%) of all 38,000 US ZIP codes. Socio-economic status (SES), behavioral and environmental factors (social determinants) account for ~80% of variance in health outcomes and cluster geographically. Neighborhood SES is inversely associated with prevalent diabetes and hypertension, and Blacks are four times more likely than Whites to live in lowest SES neighborhoods. In ZIP code 48235 (Detroit, 97% Black, 16.2% unemployed, income/capita $18,343, 23.6% poverty), 1082 Medicare fee-for service (FFS) beneficiaries received care for type 2 diabetes (T2D) and coronary artery disease (CAD) in 2012. Collectively, these beneficiaries had 1082 inpatient admissions and 839 emergency department visits, mean cost $27,759/beneficiary and mortality 2.7%. Nationally in 2011, 236,222 Black Medicare FFS beneficiaries had 213,715 inpatient admissions, 191,346 emergency department visits, mean cost $25,580/beneficiary and 2.4% mortality. In addition to more prevalent hypertension and T2D, Blacks appear more susceptible to clinical complications of risk factors than Whites, including hypertension as a contributor to stroke. Cardiometabolic health equity in African Americans requires interventions on social determinants to reduce excess risk prevalence of risk factors. Social-medical interventions to promote timely access to, delivery of and adherence with evidence-based medicine are needed to counterbalance greater disease susceptibility. Place-based interventions on social and medical determinants of health could reduce the burden of life lost to cardiometabolic diseases in Blacks.

Electrocardiographic Left Atrial Abnormality and Risk of Stroke: Northern Manhattan Study

BACKGROUND AND PURPOSE

Electrocardiographic left atrial abnormality has been associated with stroke independently of atrial fibrillation (AF), suggesting that atrial thromboembolism may occur in the absence of AF. If true, we would expect an association with cryptogenic or cardioembolic stroke rather than noncardioembolic stroke.

METHODS

We conducted a case-cohort analysis in the Northern Manhattan Study, a prospective cohort study of stroke risk factors. P-wave terminal force in lead V1 was manually measured from baseline ECGs of participants in sinus rhythm who subsequently had ischemic stroke (n=241) and a randomly selected subcohort without stroke (n=798). Weighted Cox proportional hazard models were used to examine the association between P-wave terminal force in lead V1 and stroke etiologic subtypes while adjusting for baseline demographic characteristics, history of AF, heart failure, diabetes mellitus, hypertension, tobacco use, and lipid levels.

RESULTS

Mean P-wave terminal force in lead V1 was 4452 (±3368) μV*ms among stroke cases and 3934 (±2541) μV*ms in the subcohort. P-wave terminal force in lead V1 was associated with ischemic stroke (adjusted hazard ratio per SD, 1.20; 95% confidence interval, 1.03-1.39) and the composite of cryptogenic or cardioembolic stroke (adjusted hazard ratio per SD, 1.31; 95% confidence interval, 1.08-1.58). There was no definite association with noncardioembolic stroke subtypes (adjusted hazard ratio per SD, 1.14; 95% confidence interval, 0.92-1.40). Results were similar after excluding participants with a history of AF at baseline or new AF during follow-up.

CONCLUSIONS

ECG-defined left atrial abnormality was associated with incident cryptogenic or cardioembolic stroke independently of the presence of AF, suggesting atrial thromboembolism may occur without recognized AF.

Mechanism of Injury Differentiates Risk Factors for Mortality in Geriatric Trauma Patients

OBJECTIVES

To evaluate the relationship between mechanism of injury and mortality in geriatric trauma patients and the ability of existing injury severity indices (ISIs) to assess mortality.

DESIGN

Retrospective review.

SETTING

Urban level 1 trauma center.

PARTICIPANTS

Four thousand five hundred forty-five trauma patients age ≥55 presenting between 2008 and 2011.

INTERVENTION

Low-energy (LE-GTP) and high-energy (HE-GTP) geriatric trauma patient cohorts were created based on ICD-9 injury codes. Existing ISIs were evaluated for their ability to predict in-hospital mortality using the area under the receiver-operating characteristic curve (AUROC).

MAIN OUTCOME MEASURES

Mortality.

RESULTS

The Trauma Score-Injury Severity Score (TRISS) was the most predictive ISI for both cohorts and was deemed to have moderate predictive capacity (AUROC: 0.82) in LE-GTP and excellent predictive capacity (AUROC: 0.91) in the HE-GTP. For, HE-GTP each 1-year increase in age was associated with a 12% increase risk of mortality versus 6% for LE-GTP. Preexisting conditions (PECs) were distributed differently between the cohorts with significantly more PECs in the LE-GTP (P < 0.01).

CONCLUSIONS

Existing ISIs have fair-to-moderate predictive capacity for in-hospital morality in LE-GTPs and moderate-to-excellent predictive capacity in HE-GTPs. LE-GTPs and HE-GTPs are distinct cohorts that should be evaluated separately. Combining the cohorts underestimates both the effect of age on HE-GTPs and the effect of PECs on LE-GTPs while overestimating the effect of PECs on HE-GTPs.

LEVEL OF EVIDENCE

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

Association of HO-1 (GT)n Promoter Polymorphism and Cardiovascular Disease: A Reanalysis of the Literature

BACKGROUND

Heme-oxygenase 1 (HO-1), an inducible heme-degrading enzyme, has antiatherogenic effects through its enzymatic end products. HO-1 gene expression is modulated by a guanidine thymidine dinucleotide ([GT]n) repeat polymorphism in the promoter region. Shorter repeats with (GT)n < 25 are associated with higher inducibility and activity of HO-1.

METHODS

We performed a systematic review of all literature from 1997 to 2013 on the association of the HO-1 (GT)n and cardiovascular disease (CVD). On the basis of predefined criteria (patient characteristics, genotype data format, allelic distribution, repeat length cutoff) 41 articles were selected. Patients were redistributed into 4 homogeneous subpopulations: patients with CVD (CVD group), patients without CVD (nonCVD), 'controls' with unknown cardiovascular status (unspecified) and children younger than 20 years of age (unselected). Genotype distributions (homozygous short [SS] or long [LL], and heterozygous) of the 4 patient categories were compared and odds ratios (ORs) for CVD were calculated using logistic regression analysis.

RESULTS

Overall, the proportion of the SS genotype was lower in CVD compared with nonCVD and unspecified. The ORs for CVD was highest in patients carrying the LL genotype (OR LL vs SS, 1.769 [95% confidence interval, 1.594-1.963]). Furthermore, genotype distribution differed between Caucasian and Asian individuals, the latter having a much higher proportion of the SS genotype (22% vs 11%).

CONCLUSIONS

This review of the available literature on the epidemiological association between the HO-1 (GT)n repeat polymorphism and CVD supports the presumed protective effects of HO-1. The second but probably even more relevant finding of our review is that racial disparities in HO-1 (GT)n repeat length distribution exist and might influence the associations of the genotype with CVD status.