The Contribution of Health Care and Other Interventions to Black-White Disparities in Life Expectancy, 1980-2007

A closer examination of the "rural mortality penalty": Variability by race, region, and measurement

BACKGROUND

Racial health disparities are well documented and pervasive across the United States. Evidence suggests there is a "rural mortality penalty" whereby rural residents experience poorer health outcomes than their urban counterparts. However, whether this penalty is uniform across demographic groups and U.S. regions is unknown.

OBJECTIVE

To assess how rural-urban differences in mortality differ by race (Black vs. White), U.S. region, poverty status, and how rural-urban status is measured.

METHODS

Age-standardized mortality rates (ASMRs)/100,000 by U.S. county (2015-2019) were obtained by race (Black/White) from the CDC Wonder National Vital Statistics System (2015-2019) and were merged with county-level social determinants from the US Census Bureau and County Health Rankings. Multivariable generalized linear models assessed the associations between rurality (index of relative rurality [IRR] decile, rural-urban continuum codes, and population density) and race-specific ASMR, overall, and by Census region and poverty level.

RESULTS

Overall, average ASMR was significantly higher in rural areas than urban areas for both Black (rural ASMR = 949.1 per 100,000 vs. urban ASMR = 857.7 per 100,000) and White (rural ASMR = 903.0 per 100,000 vs. urban ASMR = 791.6 per 100,000) populations. The Black-White difference was substantially higher (p < 0.001) in urban than in rural counties (65.1 per 100,000 vs. 46.1 per 100,000). Black-White differences and patterns in ASMR varied notably by poverty status and U.S. region.

CONCLUSION

Policies and interventions designed to reduce racial health disparities should consider and address key contextual factors associated with geographic location, including rural-urban status and socioeconomic status.

Medical Mistrust on Prostate Cancer Screening: A mixed method study among African Americans, Caribbean immigrants and African immigrants

Objectives

The contribution of medical mistrust to healthcare utilization delays has been gaining increasing attention. However, few studies have examined these associations among subgroups of Black men (African Americans, Caribbean, and African immigrants) in relation to prostate cancer (PCa). This study addresses this gap by assessing how medical mistrust affects PCa screening behavior and to further understand perceptions of medical mistrust among subgroups of Black men.

Methods

This research employs a mixed-methods approach comprising two distinct phases. In Phase 1, a cross-sectional examination was conducted to evaluate the influence of medical mistrust toward healthcare organizations on prostate cancer screening among 498 Black men. In Phase 2, a qualitative investigation was undertaken to delve into the nuances of medical mistrust through six focus groups (n=51) and ten key informant interviews (n=10). Logistic regression and grounded theory methods were employed for data analysis.

Results

Quantitative findings unveiled disparities in mistrust among subgroups, with Caribbean immigrants exhibiting higher levels of medical mistrust. Nevertheless, individuals with a family history of PCa showed elevated likelihoods of undergoing screening, despite mistrust. Qualitative results revealed 1) differences in reasons for medical mistrust among Black subgroups, 2) cultural perceptions which influence medical mistrust and medical care seeking, 3) lack of education in relation to PCa that contributes to medical mistrust, 4) negative past experiences and poor provider communication contribute, and 5) when PCa directly affected one's life, either personally or within the family, there was a recognized importance placed on monitoring one's risk despite mistrust.

Conclusion

While medical mistrust may not significantly deter healthcare utilization among individuals with a family history or diagnosis of PCa, it underscores the variability of medical mistrust and its underlying reasons among different Black subgroups.

Cause-Specific Mortality and Racial Differentials in Life Expectancy, Chicago 2018-2019

BACKGROUND

In Chicago in 2018, the average life expectancy (ALE) for NH Blacks was 71.5 years, 9.1 fewer years than for NH Whites (80.6 years). Inasmuch as some causes of death are increasingly recognized products of structural racism, in urban areas, such causes may have potential for reducing racial inequities through public health intervention. Our purpose is to allocate racial inequities in ALE in Chicago to differentials in cause-specific mortality.

METHODS

Using multiple decrement processes and decomposition analysis, we examine cause-specific mortality in Chicago to determine the causes of death that contribute to the gap in life expectancy between NH Blacks and NH Whites.

RESULTS

Among females, the racial difference in ALE was 8.21 years; for males, it was 10.53 years. We find that cancer and heart disease mortality account for 3.03 years or 36% of the racial gap in average life expectancy among females. Differences in homicide and heart disease mortality rates comprised over 45% of the disparity among males.

CONCLUSIONS

Strategies for improving inequities in life expectancy should account for differences between males and females in cause-specific mortality rates. In urban areas with high levels of segregation, reducing inequities in ALE may be possible by dramatically reducing mortality rates from some causes.

CONTRIBUTION

This paper illustrates the state of inequities in ALE between NH Blacks and NH Whites in Chicago for the period just prior to the onset of the COVID-19 pandemic, using a well-established method of decomposing mortality differentials for sub-populations.

"Outside the Skin": The Persistence of Black-White Disparities in U.S. Early-Life Mortality

Research on Black-White disparities in mortality emphasizes the cumulative pathways through which racism gets "under the skin" to affect health. Yet this framing is less applicable in early life, when death is primarily attributable to external causes rather than cumulative, biological processes. We use mortality data from the National Vital Statistics System Multiple Cause of Death files and population counts from the Surveillance, Epidemiology, and End Result Program to analyze 705,801 deaths among Black and White males and females, ages 15-24. We estimate age-standardized death rates and single-decrement life tables to show how all-cause and cause-specific mortality changed from 1990 to 2016 by race and sex. Despite overall declines in early-life mortality, Black-White disparities remain unchanged across several causes-especially homicide, for which mortality is nearly 20 times as high among Black as among White males. Suicide and drug-related deaths are higher among White youth during this period, yet their impact on life expectancy at birth is less than half that of homicide among Black youth. Critically, early-life disparities are driven by preventable causes of death whose impact occurs "outside the skin," reflecting racial differences in social exposures and experiences that prove harmful for both Black and White adolescents and young adults.

Suicide rates amongst individuals from ethnic minority backgrounds: A systematic review and meta-analysis

BACKGROUND

Existing evidence suggests that some individuals from ethnic minority backgrounds are at increased risk of suicide compared to their majority ethnic counterparts, whereas others are at decreased risk. We aimed to estimate the absolute and relative risk of suicide in individuals from ethnic minority backgrounds globally.

METHODS

Databases (Medline, Embase, and PsycInfo) were searched for epidemiological studies between 01/01/2000 and 3/07/2020, which provided data on absolute and relative rates of suicide amongst ethnic minority groups. Studies reporting on clinical or specific populations were excluded. Pairs of reviewers independently screened titles, abstracts, and full texts. We used random effects meta-analysis to estimate overall, sex, location, migrant status, and ancestral origin, stratified pooled estimates for absolute and rate ratios. PROSPERO registration: CRD42020197940.

FINDINGS

A total of 128 studies were included with 6,026,103 suicide deaths in individuals from an ethnic minority background across 31 countries. Using data from 42 moderate-high quality studies, we estimated a pooled suicide rate of 12·1 per 100,000 (95% CIs 8·4-17·6) in people from ethnic minority backgrounds with a broad range of estimates (1·2-139·7 per 100,000). There was weak statistical evidence from 51 moderate-high quality studies that individuals from ethnic minority groups were more likely to die by suicide (RR 1·3 95% CIs 0·9-1·7) with again a broad range amongst studies (RR 0·2-18·5). In our sub-group analysis we only found evidence of elevated risk for indigenous populations (RR: 2·8 95% CIs 1·9-4·0; pooled rate: 23·2 per 100,000 95% CIs 14·7-36·6). There was very substantial heterogeneity (I²  > 98%) between studies for all pooled estimates.

INTERPRETATION

The homogeneous grouping of individuals from ethnic minority backgrounds is inappropriate. To support suicide prevention in marginalised groups, further exploration of important contextual differences in risk is required. It is possible that some ethnic minority groups (for example those from indigenous backgrounds) have higher rates of suicide than majority populations.

FUNDING

No specific funding was provided to conduct this research. DK is funded by Wellcome Trust and Elizabeth Blackwell Institute Bristol. Matthew Spittal is a recipient of an Australian Research Council Future Fellowship (project number FT180100075) funded by the Australian Government. Rebecca Musgrove is funded by the NIHR Greater Manchester Patient Safety Translational Research Centre (PSTRC-2016-003).

Social Inequality and the Future of U.S. Life Expectancy

Despite decades of progress, the future of life expectancy in the United States is uncertain due to widening socioeconomic disparities in mortality, continued disparities in mortality across racial/ethnic groups, and an increase in extrinsic causes of death. These trends prompt us to scrutinize life expectancy in a high-income but enormously unequal society like the United States, where social factors determine who is most able to maximize their biological lifespan. After reviewing evidence for biodemographic perspectives on life expectancy, the uneven diffusion of health-enhancing innovations throughout the population, and the changing nature of threats to population health, we argue that sociology is optimally positioned to lead discourse on the future of life expectancy. Given recent trends, sociologists should emphasize the importance of the social determinants of life expectancy, redirecting research focus away from extending extreme longevity and towards research on social inequality with the goal of improving population health for all.

Life Expectancy in Chinese Cities: Spatially Varied Role of Socioeconomic Development, Population Structure, and Natural Conditions

Improving life expectancy, as well as people's health and wellbeing, is an important goal both for the Chinese government and the United Nations. Therefore, to analyze the main factors influencing life expectancy in prefecture-level cities in China, this study uses classical ordinary least-squares regression and geographical weighted regression on the data of the latest census. Moreover, regional differences induced by each influencing factor are also depicted in this study. The results demonstrate that there is significant heterogeneity and spatial positive correlation among the distribution of life expectancy in prefecture-level cities, with a generally higher life expectancy in the provincial capitals and eastern China, and lower in western China. The geographically weighted regression analysis shows that the economic development level, medical conditions, demographic structure, natural environment, and city attributes all affect the distribution of life expectancy, but that their effects have significant spatial heterogeneity. Life expectancy of the less developed areas in Western China is affected dominantly by economic development level, whereas medical services and education are of great importance in determining the life expectancy in Northern and Southern China, respectively. Thus, it is crucial to solve health problems based on local conditions, especially focusing on the improvement of health and health care in underdeveloped areas. Meanwhile, for the eastern developed areas, special attention should be paid to environmental protection in the economic process, while striving to achieve high-quality development.

Latin American convergence and divergence towards the mortality profiles of developed countries

It is uncertain whether Latin America and Caribbean (LAC) countries are approaching a single mortality regime. Over the last three decades, LAC has experienced major public health interventions and the highest number of homicides in the world. However, these interventions and homicide rates are not evenly shared across countries. This study documents trends in life expectancy and lifespan variability for 20 LAC countries, 2000-14. By extending a previous method, we decompose differences in lifespan variability between LAC and a developed world benchmark into cause-specific effects. For both sexes, dispersion of amenable diseases through the age span makes the largest contribution to the gap between LAC and the benchmark. Additionally, for males, the concentration of homicides, accidents, and suicides in mid-life further impedes mortality convergence. Great disparity exists in the region: while some countries are rapidly approaching the developed regime, others remain far behind and suffer a clear disadvantage in population health.

Giving Voice to Black Men: Guidance for Increasing the Likelihood of Having a Usual Source of Care

Black men suffer inequalities in health and health-care outcomes relative to other racial/ethnic groups, requiring well-informed efforts for health promotion. Fewer Black men have a usual source of health care, which may be a contributor to these disparities. Increasing access to and the likelihood of a usual source of care among Black men are important to address health and health-care disparities. In this focus group study, we sought to better understand how Black men think about primary care and usual sources of care. A total of six focus groups were conducted with N = 25 men. Groups were a mix of men with and without a usual source of care. Several themes were identified through analysis of the data regarding factors that contribute to Black men going to the doctor. Themes identified in the data analysis included Lack of Health Insurance as a Barrier to Establishing Usual Source of Care; Family Promoting Health Care Use; Relationship With Doctor, Trust, and Empowerment; Age and Maturity in Health Promotion; and Positive Tone of Messaging. Future research should explore if similar findings are obtained among men in different regions of the United States or between Black men of different backgrounds. Taking a step beyond this research, specifically, future research can also examine the impact of particular health messages/messaging on Black men's health-care-seeking behaviors.

Medical Mistrust, Racism, and Delays in Preventive Health Screening Among African-American Men

The contribution of medical mistrust to healthcare utilization delays has gained increased public health attention. However, few studies examine these associations among African-American men, who delay preventive healthcare more often and report higher levels of medical mistrust than non-Hispanic White men. Additionally, studies rarely account for other factors reportedly working in tandem with medical mistrust to increase African-American men's preventive health screening delays (i.e., everyday racism and perceived racism in healthcare). We examined associations between medical mistrust, perceived racism in healthcare, everyday racism, and preventive health screening delays. Analyses were conducted using cross-sectional data from 610 African-American men aged 20 years and older recruited primarily from barbershops in four US regions (2003-2009). Independent variables were medical mistrust (MM), everyday racism (ER), and perceived racism in healthcare (PRH). Dependent variables were self-reported routine checkup, blood pressure screening, and cholesterol screening delays. Using multiple logistic regression and tests for mediation, we calculated odds ratios and 95% confidence intervals to assess associations between the independent and dependent variables. After final adjustment, African-American men with higher MM were significantly more likely to delay blood pressure screenings. Men with more frequent ER exposure were significantly more likely to delay routine checkups and blood pressure screenings. Higher levels of PRH were associated with a significant increased likelihood of delaying cholesterol screening. MM did not mediate associations between ER and screening delays. Increasing preventive health screening among African-American men requires addressing medical mistrust and racism in and outside healthcare institutions.

Active Life Expectancy In The Older US Population, 1982-2011: Differences Between Blacks And Whites Persisted

Understanding long-range trends in longevity and disability is useful for projecting the likely impact of the baby-boom generation on long-term care utilization and spending. We examine changes in active life expectancy in the United States from 1982 to 2011 for white and black adults ages sixty-five and older. For whites, longevity increased, disability was postponed to older ages, the locus of care shifted from nursing facilities to community settings, and the proportion of life at older ages spent without disability increased. In contrast, for blacks, longevity increases were accompanied by smaller postponements in disability, and the percentage of remaining life spent active remained stable and well below that of whites. Older black women were especially disadvantaged in 2011 in terms of the proportion of years expected to be lived without disability. Public health measures directed at older black adults-particularly women-are needed to offset impending pressures on the long-term care delivery system as the result of population aging.

The contribution of three dimensions of allostatic load to racial/ethnic disparities in poor/fair self-rated health

Objective

This study evaluates whether different dimensions of physiological dysregulation, modeled individually rather than additively mediate racial/ethnic disparities in self-reported health.

Methods

Using data from the National Health and Nutrition Examination Survey (2005–2010) and the Karlson, Hold, and Breen (KHB) mediation model, this paper explores what operationalization of biomarker data most strongly mediate racial/ethnic disparities in poor/fair self-rated health (SRH) among adults in the United States, net of demographic, socioeconomic, behavioral, and medication controls.

Results

Non-Hispanic blacks and Hispanics had significantly higher odds of reporting poor/fair self-rated health in comparison to non-Hispanic whites. Operationalizations of allostatic load that disaggregate three major dimensions of physiological dysregulation mediate racial/ethnic disparities strongly between non-Hispanic blacks and non-Hispanic whites, but not between Hispanics and non-Hispanic whites. Disaggregating these dimensions explains racial/ethnic disparities in poor/fair SRH better than the continuous score. Analyses on sex-specific disparities indicate differences in how individual dimensions of allostatic load contribute to racial/ethnic disparities in poor/fair SRH differently. All individual dimensions are strong determinants of poor/fair SRH for males. In contrast, for females, the only dimension that is significantly associated with poor/fair SRH is inflammation. For the analytic sample, additive biomarker scores fit the data as well or better than other approaches, suggesting that this approach is most appropriate for explaining individual differences. However, in sex-specific analyses, the interactive approach models fit the data best for men and women.

Conclusions

Future researchers seeking to explain racial/ethnic disparities in full or sex-stratified samples should consider disaggregating allostatic load by dimension.

•

Non-Hispanic blacks and Hispanics have higher rates of poor/fair self-rated health and levels of allostatic load

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Allostatic load mediates the race/ethnicity-self rated health relationship.

•

Overall, dividing allostatic load into three dimensions better explains the white-black gap

•

In sex-specific models interactive approaches better explain self-rated health

County Health Factors Associated with Avoidable Deaths from Cardiovascular Disease in the United States, 2006-2010

OBJECTIVE

Many cardiovascular deaths can be avoided through primary prevention to address cardiovascular disease (CVD) risk factors or better access to quality medical care. In this cross-sectional study, we examined the relationship between four county-level health factors and rates of avoidable death from CVD during 2006-2010.

METHODS

We defined avoidable deaths from CVD as deaths among U.S. residents younger than 75 years of age caused by the following underlying conditions, using International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) codes: ischemic heart disease (I20-I25), chronic rheumatic heart disease (I05-I09), hypertensive disease (I10-I15), or cerebrovascular disease (I60-I69). We stratified county-level death rates by race (non-Hispanic white or non-Hispanic black) and age-standardized them to the 2000 U.S. standard population. We used County Health Rankings data to rank county-level z scores corresponding to four health factors: health behavior, clinical care, social and economic factors, and physical environment. We used Poisson rate ratios (RRs) and 95% confidence intervals (CIs) to compare rates of avoidable death from CVD by health-factor quartile.

RESULTS

In a comparison of worst-ranked and best-ranked counties, social and economic factors had the strongest association with rates of avoidable death per 100,000 population from CVD for the total population (RR=1.49; 95% CI 1.39, 1.60) and for each racial/ethnic group (non-Hispanic white: RR=1.37; 95% CI 1.29, 1.45; non-Hispanic black: RR=1.54; 95% CI 1.42, 1.67). Among the non-Hispanic white population, health behaviors had the next strongest association, followed by clinical care. Among the non-Hispanic black population, we observed a significant association with clinical care and physical environment in a comparison of worst-ranked and best-ranked counties.

CONCLUSION

Social and economic factors have the strongest association with rates of avoidable death from CVD by county, which reinforces the importance of social and economic interventions to address geographic disparities in avoidable deaths from CVD.

Mortality Among Black Men in the USA

IMPORTANCE

Black men have the lowest life expectancy of all major ethnic-sex populations in the USA, yet no recent studies have comprehensively examined black male mortality.

OBJECTIVE

The purpose of this study was to analyze recent mortality trends for black men, including black to white (B to W) disparities.

DESIGN

The study design was national mortality surveillance for 2000 to 2014.

SETTING

The setting was the USA.

POPULATION

All black non-Hispanic males aged ≥15 years old in the USA, including institutionalized persons, were included.

EXPOSURE

The 15 leading causes of death were analyzed.

MAIN OUTCOMES AND MEASURES

Linear regression of log-transformed annual age-adjusted death rates was used to calculate average annual percent change (AAPC) in mortality. Black to white (B to W) disparity rate ratios (RR) and 95% confidence intervals (CI) were compared for 2000 and 2014. The most recent available social and economic profile data were obtained from the U.S. Census of Population.

RESULTS

The top five causes of death for black men in 2014, with percentage of total deaths, were (1) heart disease (24.8%), (2) cancer (23.0%), (3) unintentional injuries (5.8%), (4) stroke (5.1%), and (5) homicide (4.3%). Significant mortality declines for 12 of the 15 leading causes occurred through 2014, with the strongest decline for HIV/AIDS (AAPC -8.0, 95% CI -8.8 to -7.1). Only Alzheimer's disease, ranked #15, significantly increased (AAPC +2.5, 95% CI +1.4 to +3.7). Significant black disadvantage persisted for 10 of the 15 leading causes in 2014, including homicide (RR = 10.43, 95% CI 9.98 to 10.89), HIV/AIDS (RR = 8.01, 95% CI 7.50 to 8.54), diabetes (RR = 1.88, 95% CI 1.82 to 1.93), and stroke (RR = 1.61, 95% CI 1.57 to 1.65). The B to W disparity did not improve for heart disease (RR 1.24 in 2000 vs. RR 1.23 in 2014), but did improve for cancer (RR 1.39 in 2000 vs. 1.20 in 2014). Death rates were significantly lower in black men for five causes, including unintentional injuries (RR = 0.83, 95% CI 0.80 to 0.84), chronic lower respiratory diseases (RR = 0.75, 95% CI 0.73 to 0.78), and suicide (RR = 0.37, 95% CI 0.35 to 0.39).

CONCLUSIONS AND RELEVANCE

Total mortality significantly declined for black men from 2000 to 2014, and the overall B to W disparity narrowed to RR = 1.21 (95% CI 1.20 to 1.23) in 2014. However, significant black disadvantages relative to white men persisted for 10 leading causes of death.

Homicides In Mexico Reversed Life Expectancy Gains For Men And Slowed Them For Women, 2000-10

Life expectancy in Mexico increased for more than six decades but then stagnated in the period 2000-10. This decade was characterized by the enactment of a major health care reform-the implementation of the Seguro Popular de Salud (Popular Health Insurance), which was intended to provide coverage to the entire Mexican population-and by an unexpected increase in homicide mortality. We assessed the impact on life expectancy of conditions amenable to medical service-those sensitive to public health policies and changes in behaviors, homicide, and diabetes-by analyzing mortality trends at the state level. We found that life expectancy among males deteriorated from 2005 to 2010, compared to increases from 2000 to 2005. Females in most states experienced small gains in life expectancy between 2000 and 2010. The unprecedented rise in homicides after 2005 led to a reversal in life expectancy increases among males and a slowdown among females in most states in the first decade of the twenty-first century.

Black-White Disparities in Adult Mortality: Implications of Differential Record Linkage for Understanding the Mortality Crossover

Mortality rates among black individuals exceed those of white individuals throughout much of the life course. The black-white disparity in mortality rates is widest in young adulthood, and then rates converge with increasing age until a crossover occurs at about age 85 years, after which black older adults exhibit a lower mortality rate relative to white older adults. Data quality issues in survey-linked mortality studies may hinder accurate estimation of this disparity and may even be responsible for the observed black-white mortality crossover, especially if the linkage of surveys to death records during mortality follow-up is less accurate for black older adults. This study assesses black-white differences in the linkage of the 1986-2009 National Health Interview Survey to the National Death Index through 2011 and the implications of racial/ethnic differences in record linkage for mortality disparity estimates. Match class and match score (i.e., indicators of linkage quality) differ by race/ethnicity, with black adults exhibiting less certain matches than white adults in all age groups. The magnitude of the black-white mortality disparity varies with alternative linkage scenarios, but convergence and crossover continue to be observed in each case. Beyond black-white differences in linkage quality, this study also identifies declines over time in linkage quality and even eligibility for linkage among all adults. Although linkage quality is lower among black adults than white adults, differential record linkage does not account for the black-white mortality crossover.

The Healthy Community Neighborhood Initiative: Rationale and Design

OBJECTIVE

To describe the design and rationale of the Healthy Community Neighborhood Initiative (HCNI), a multi-component study to understand and document health risk and resources in a low-income and minority community.

DESIGN

A community-partnered participatory research project.

SETTING

A low-income, biethnic African American and Latino neighborhood in South Los Angeles.

PARTICIPANTS

Adult community residents aged >18 years.

MAIN OUTCOME MEASURES

Household survey and clinical data collection; neighborhood characteristics; neighborhood observations; and community resources asset mapping.

RESULTS

We enrolled 206 participants (90% of those eligible), of whom 205 completed the household interview and examination, and 199 provided laboratory samples. Among enrollees, 82 (40%) were aged >50 years and participated in functional status measurement. We completed neighborhood observations on 93 street segments; an average of 2.2 (SD=1.6) study participants resided on each street segment observed. The community asset map identified 290 resources summarized in a Community Resource Guide given to all participants.

CONCLUSIONS

The HCNI community-academic partnership has built a framework to assess and document the individual, social, and community factors that may influence clinical and social outcomes in a community at high-risk for preventable chronic disease. Our project suggests that a community collaborative can use culturally and scientifically sound strategies to identify community-centered health and social needs. Additional work is needed to understand strategies for developing and implementing interventions to mitigate these disparities.