Hispanic-White Differences in Lifespan Variability in the United States

Cause-of-Death Determinants of Lifespan Inequality

We propose a novel decomposition approach that breaks down the levels and trends of lifespan inequality as the sum of cause-of-death contributions. The suggested method shows whether the levels and changes in lifespan inequality are attributable to the levels and changes in (1) the extent of inequality in the cause-specific age-at-death distribution (the "Inequality" component), (2) the total share of deaths attributable to each cause (the "Proportion" component), or (3) the cause-specific mean age at death (the "Mean" component). This so-called Inequality-Proportion-Mean (or IPM) method is applied to 10 low-mortality countries in Europe. Our findings suggest that the most prevalent causes of death (in our setting, "circulatory system" and "neoplasms") do not necessarily contribute the most to overall levels of lifespan inequality. In fact, "perinatal and congenital" causes are the strongest drivers of lifespan inequality declines. The contribution of the IPM components to changes in lifespan inequality varies considerably across causes, genders, and countries. Among the three components, the Mean one explains the least lifespan inequality dynamics, suggesting that shifts in cause-specific mean ages at death alone contributed little to changes in lifespan inequality.

County-Level Relationships Between Foreign-Born Residents, Latinos, Immigration Enforcement, and Child Maltreatment Report Rates in the United States, 2015-2018

U.S. Latino and foreign-born populations show lower child maltreatment report (CMR) rates despite their low socioeconomic positions, perhaps due to protective cultural factors within these populations. However, discriminatory Immigration and Customs Enforcement (ICE) activities may attenuate such protection. We examined how ethnic and foreign-born compositions and local ICE activities were associated with community CMR rates, overall and within racial/ethnic groups (i.e., White, Black, Latino), and how these associations changed over time. We used national county-level data linking multiple administrative/archival data sources (i.e., CMR, Census, and ICE data) longitudinally for 2015 to 2018 across the United States. Multilevel (county-years, counties, and states) models estimated how percentages of Latino, percentages of foreign-born, and ICE arrest rates were related to overall and race/ethnicity-specific CMR rates among counties while adjusting for a range of demographic, socioeconomic, child care burden, health insurance, residential mobility, and urbanicity factors. Higher percentages of foreign-born residents within counties were significantly associated with lower CMR rates, both overall and within all racial/ethnic groups. These protective associations became significantly stronger over the study period. Higher percentages of Latino residents were significantly associated with lower total and White CMR rates but not with Black or Latino CMR rates. The interaction between the percentage of Latino residents and year was not significant. ICE arrest rates showed no significant associations with CMR rates. Our findings suggest that communities with more foreign-born and Latino residents may be more protective against CMRs. While the foreign-born and Latino concentrations were both independently predictive of decreased CMR rates, the protective associations of the foreign-born concentration were more consistent within racial/ethnic groups and grew stronger over time. These findings suggest the need to investigate community-level protective mechanisms that may explain these results. The null findings for ICE activity also require further research with alternative measures of discriminatory state action.

Race and Ethnicity Impacts Overall Survival of Patients with Appendiceal Cancer Who Undergo Cytoreductive Surgery with Hyperthermic Intraperitoneal Chemotherapy

Appendiceal cancer treatment may include cytoreductive surgery and hyperthermic intraperitoneal chemotherapy (CRS/HIPEC). We investigated whether patient race/ethnicity influences outcomes and overall survival for patients with appendiceal cancer who undergo CRS/HIPEC. We queried the National Cancer Database for adult patients with appendiceal cancer treated with CRS/HIPEC from 2006 to 2018. Patients were stratified by race/ethnicity: non-Hispanic White (NHW), non-Hispanic Black (NHB), Hispanic, and Other. Sociodemographics and outcomes were compared using descriptive statistics. Kaplan-Meier survival analysis and Log-rank tests assessed differences in overall survival (OS). Cox Multivariate Regression evaluated factors associated with OS. In total, 2532 patients were identified: 2098 (82.9%) NHW, 186 (7.3%) NHB, 127 (5.0%) Hispanic, and 121 (4.8%) Other patients. The sociodemographics were statistically different across groups. The perioperative and postoperative outcomes were similar. OS was significantly different by race/ethnicity (p = 0.0029). NHB patients compared to Hispanic patients had the shortest median OS (106.7 vs. 145.9 months, p = 0.0093). Race/ethnicity was independently associated with OS: NHB (HR: 2.117 [1.306, 3.431], p = 0.0023) and NHW (HR: 1.549 [1.007, 2.383], p = 0.0463) patients compared to Hispanic patients had worse survival rates. Racial/ethnic disparities exist for patients with appendiceal cancer undergoing CRS/HIPEC. Despite having similar tumor and treatment characteristics, OS is associated with patient race/ethnicity.

State-Level Trends in Lifespan Variability in the United States, 1960-2019: A Research Note

State-level disparities in life expectancy are wide, persistent, and potentially growing in the United States. However, the extent to which differences in lifespan variability by state have changed over time is unclear. This research note describes trends in lifespan variability for the United States overall and by state from 1960 to 2019 using period life table data from the United States Mortality Database. Lifespan disparity at birth (e0†) decreased over time in the United States overall from 14.0 years in 1960-1964 to 12.2 in 2015-2019. Lifespan variability decreased in all states, but states differed in the level and pace with which these changes occurred. Southern states and the District of Columbia exhibited consistently higher (i.e., less equitable) levels of lifespan variability than the nation overall. Conversely, lifespan variability was lower among several states in the Northeast (e.g., Connecticut and Massachusetts), Upper Midwest (e.g., Iowa, Minnesota, and Wisconsin), and West (e.g., California, Oregon, Utah, and Washington). We observe a particularly worrisome trend of increasing lifespan variability for the United States overall and for most states from 2010-2014 to 2015-2019. Monitoring state-level trends in lifespan variability has the potential to inform policies designed to ameliorate population health disparities.

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.

Significant impacts of the COVID-19 pandemic on race/ethnic differences in US mortality

The coronavirus 2019 (COVID-19) pandemic triggered global declines in life expectancy. The United States was hit particularly hard among high-income countries. Early data from the United States showed that these losses varied greatly by race/ethnicity in 2020, with Hispanic and Black Americans suffering much larger losses in life expectancy compared with White people. We add to this research by examining trends in lifespan inequality, average years of life lost, and the contribution of specific causes of death and ages to race/ethnic life-expectancy disparities in the United States from 2010 to 2020. We find that life expectancy in 2020 fell more for Hispanic and Black males (4.5 and 3.6 y, respectively) compared with White males (1.5 y). These drops nearly eliminated the previous life-expectancy advantage for the Hispanic compared with the White population, while dramatically increasing the already large gap in life expectancy between Black and White people. While the drops in life expectancy for the Hispanic population were largely attributable to official COVID-19 deaths, Black Americans saw increases in cardiovascular diseases and "deaths of despair" over this period. In 2020, lifespan inequality increased slightly for Hispanic and White populations but decreased for Black people, reflecting the younger age pattern of COVID-19 deaths for Hispanic people. Overall, the mortality burden of the COVID-19 pandemic hit race/ethnic minorities particularly hard in the United States, underscoring the importance of the social determinants of health during a public health crisis.

Evidence for the reliability and validity of a Spanish translation of the Medication Management Ability Assessment administered via tele-assessment

We translated the Medication Management Ability Assessment (MMAA) from English to Spanish for use via tele-assessment and examined its reliability and validity. Following International Test Commission Guidelines for Translating and Adapting Tests, we used translation/back-translation and a small focus group (n = 6) to adapt a Spanish version of the MMAA. Eighty-six Spanish-speaking adults completed the adapted MMAA via tele-assessment at baseline and at a two-week follow-up visit. Participants also completed several self-report and performance-based cognitive and functional measures. The internal consistency of the MMAA was excellent (standardized Cronbach's α = 0.90). Performance-based functional assessments (PBFAs) and objective cognition were positively associated with the MMAA at small to medium effect sizes. Self-report measures of daily function and cognition, measures of health literacy, and estimates of premorbid intellectual functioning were not significantly associated with MMAA performance. The test-retest reliability of the MMAA was good (CCC = 0.73, 95% CI [0.62, 0.81]; rs = 0.37, p < 0.001) and demonstrated a small practice effect (Cohen's d = 0.36, p = 0.001). Preliminary evidence for the construct validity of a Spanish-language MMAA administered via tele-assessment further expands the potential clinical utility of PBFAs in culturally diverse, Spanish-speaking populations.

Racial and neighborhood disparities in mortality among hospitalized COVID-19 patients in the United States: An analysis of the CDC case surveillance database

BACKGROUND

Black and Hispanic populations have higher overall COVID-19 infection and mortality odds compared to Whites. Some state-wide studies conducted in the early months of the pandemic found no in-hospital racial disparities in mortality.

METHODS

We performed chi-square and logistic regression analyses on the CDC COVID-19 Case Surveillance Restricted Database. The primary outcome of the study was all-cause in-hospital mortality. The primary exposures were racial group (White, Black, Hispanic and Others) and neighborhood type (low vulnerability, moderate vulnerability, high vulnerability, very high vulnerability).

FINDINGS

The overall unadjusted mortality rate was 33% and was lowest among Hispanics. In the fully adjusted models, Blacks and Hispanics had higher overall odds of dying [OR of 1.20 (95% CI 1.15, 1.25) and 1.23 (95% CI 1.17, 1.28) respectively] compared with White patients, and patients from neighborhoods with very high vulnerability had the highest mortality odds in the Northeast, Midwest and overall [Adjusted OR 2.08 (95% CI 1.91, 2.26)]. In the Midwest, Blacks and Hispanics had higher odds of mortality compared with Whites, but this was not observed in other regions.

INTERPRETATION

Among hospitalized COVID-19 patients, Blacks and Hispanics were more likely to die compared to Whites in the Midwest. Patients from highly vulnerable neighborhoods also had the highest likelihood of death in the Northeast and Midwest. These results raise important questions on our efforts to curb healthcare disparities and structural racism in the healthcare setting.

Life Expectancy Trends Among Integrated Health Care System Enrollees, 2014-2017

INTRODUCTION

The Centers for Disease Control and Prevention (CDC) has reported downward trends in life expectancy and racial/ethnic differences between 2014 and 2017.

OBJECTIVE

To determine the life expectancy of the Kaiser Permanente Mid-Atlantic States (KPMAS) insured population as compared to the CDC National Vital Statistics data from 2014 to 2017. We also aimed to highlight the utilization of membership data to inform population statistical estimates such as life expectancy. We examine whether national trends in life expectancy are reflected in an insured population with relatively uniform access to care.

METHODS

This retrospective, data only study examined life expectancy between 2014 and 2017. Data from electronic medical records and the National Death Index were combined to construct complete life tables by race and sex for the KPMAS population, which was compared to the CDC National Vital Statistics data.

RESULTS

From 2014 to 2017, the overall KPMAS population life expectancy at birth varied between 84.6 and 85.2 years compared to the CDC reported national average of 78.6-78.9 years (p < 0.001). While the CDC dataset reported a 3.5- to 3.7-year life expectancy gap between non-Hispanic White and non-Hispanic Black populations, in the KPMAS population, this gap was significantly smaller (0.0-0.9 years). The gap in life expectancy between males and females was consistent across KPMAS and the CDC data; however, overall KPMAS male and female patient life expectancy was extended in comparison.

CONCLUSION

Among members who disclosed their race/ethnicity, KPMAS Hispanic, non-Hispanic Black, and non-Hispanic White members had significantly higher life expectancies than the CDC dataset in all years reported.

Progress of Inequality in Age at Death in India: Role of Adult Mortality

India has seen a reduction in infant and child mortality rates for both the sexes since the early 1980s. However, a decline in mortality at adult ages is marked by significant differences in the subgroups of sex and regions. This study assesses the progress of inequality in age at death with the advances in mortality transition during 36 years period between 1981-1985 and 2012-2016 in India, using the Gini coefficients at the age of zero (G ₀ ). The Gini coefficients show that in the mid-2000s, women outpaced men in G ₀ . The reduction in inequality in age at death is a manifestation of the process of homogeneity in mortality. The low G ₀ is concomitant of high life expectancy at birth (e ₀ ) in India. The results show the dominance of adult mortality over child mortality in the medium-mortality and low-mortality regimes. Varying adult mortality in the subgroups of sex and variance in the mortality levels of regions are the predominant factors for the variation in inequality in age at death. By lowering of the mortality rates in the age group of 15-29 years, India can achieve a high e ₀ that appears at high demographic development and the narrow sex differentials in e ₀ and G ₀ in a short time. Men in the age group of 15-29 years are the most vulnerable subgroup with respect to mortality. There is an immediate need for health policies in India to prioritise the aversion of premature deaths in men aged 15-29 years.

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.

US Obesity Mortality Trends and Associated Noncommunicable Diseases Contributing Conditions Among White, Black, and Hispanic Individuals by Age from 1999 to 2017

This study aims to assess the effect of obesity as an underlying cause of death in association with four main noncommunicable diseases (NCDs) as contributing causes of mortality on the age of death in White, Black, and Hispanic individuals in the USA. To estimate mortality hazard ratios, we ran a Cox regression on the US National Center for Health Statistics mortality integrated datasets from 1999 to 2017, which included almost 48 million cases. The variable in the model was the age of death in years as a proxy for time to death. The cause-of-death variable allowed for the derivation of predictor variables of obesity and the four main NCDs. The overall highest obesity mortality HR when associated with NCD contributing conditions for the year 1999-2017 was diabetes (2.15; 95% CI: 2.11-2.18), while Whites had the highest HR (2.46; 95% CI: 2.41-2.51) when compared with Black (1.32; 95% CI: 1.27-1.38) and Hispanics (1.25; 95% CI: 1.18-1.33). Hispanics had lower mortality HR for CVD (1.21; 95% CI: 1.15-1.27) and diabetes (1.25; 95% CI: 1.18-1.33) of the three studied groups. The obesity death mean was 57.3 years for all groups. People who die from obesity are, on average, 15.4 years younger than those without obesity. Although Hispanics in the USA have a higher prevalence of diabetes and cardiovascular disease (CVD), they also have the lowest mortality HR for obesity as an underlying cause of death when associated with CVD and cancer. While there is no obvious solution for obesity and its complications, continued efforts to address obesity are needed.

Black-white disparities during an epidemic: Life expectancy and lifespan disparity in the US, 1980-2000

Covid-19 has demonstrated again that epidemics can affect minorities more than the population in general. We consider one of the last major epidemics in the United States: HIV/AIDS from ca. 1980-2000. We calculate life expectancy and lifespan disparity (a measure of variance in age at death) for thirty US states, finding noticeable differences both between states and between the black and white communities. Lifespan disparity allows us to examine distributional effects, and, using decomposition methods, we find that for six states lifespan disparity for blacks increased between 1980 and 1990, while life expectancy increased less than for whites. We find that we can attribute most of this to the impact of HIV/AIDS.

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.

The modifying effect of positive emotion on the relationship between cognitive impairment and disability among older Mexican Americans: a cohort study

OBJECTIVE

To determine if positive emotion modifies the relationship between cognitive impairment and activities of daily living disability status over 10 years in Mexican American adults aged 75 years and older.

METHODS

A retrospective cohort design using data from the Hispanic established populations for the epidemiologic studies of the elderly. About 2674 participants aged 75 years and older were included and followed over 10 years. Cognition was measured using the mini-mental state examination, positive emotion was measured using four questions from the Center for Epidemiologic Studies Depression Scale, and disability was measured using seven activities of daily living items. A series of generalized estimating equations models were used, with the initial analysis including those with disability at baseline and subsequent analyses excluding disability at baseline.

RESULTS

Positive emotion and cognitive impairment consistently decreased and increased risk for activities of daily living disability, respectively. Positive emotion was a significant modifier in the cross-sectional analysis, and was not a statistically significant modifier in the longitudinal or predictive series analysis.

CONCLUSIONS

Positive emotion and cognitive impairment differentially affect the risk of developing activities of daily living disability. Further research is needed to explore the interaction of positive emotion and cognitive impairment, and to identify appropriate interventions that address the specific cognitive and emotional needs of older Mexican Americans. Implications for rehabilitation Promoting emotional well-being may be protective against incident disability for older adults. Cognitive impairment significantly predicts incident disability in activities of daily living and should be considered an early indicator of impending disability for older adults.

The increasing lifespan variation gradient by area-level deprivation: A decomposition analysis of Scotland 1981-2011

Life expectancy inequalities are an established indicator of health inequalities. More recent attention has been given to lifespan variation, which measures the amount of heterogeneity in age at death across all individuals in a population. International studies have documented diverging socioeconomic trends in lifespan variation using individual level measures of income, education and occupation. Despite using different socioeconomic indicators and different indices of lifespan variation, studies reached the same conclusion: the most deprived experience the lowest life expectancy and highest lifespan variation, a double burden of mortality inequality. A finding of even greater concern is that relative differences in lifespan variation between socioeconomic group were growing at a faster rate than life expectancy differences. The magnitude of lifespan variation inequalities by area-level deprivation has received limited attention. Area-level measures of deprivation are actively used by governments for allocating resources to tackle health inequalities. Establishing if the same lifespan variation inequalities emerge for area-level deprivation will help to better inform governments about which dimension of mortality inequality should be targeted. We measure lifespan variation trends (1981-2011) stratified by an area-level measure of socioeconomic deprivation that is applicable to the entire population of Scotland, the country with the highest level of variation and one of the longest, sustained stagnating trends in Western Europe. We measure the gradient in variation using the slope and relative indices of inequality. The deprivation, age and cause specific components driving the increasing gradient are identified by decomposing the change in the slope index between 1981 and 2011. Our results support the finding that the most advantaged are dying within an ever narrower age range while the most deprived are facing greater and increasing uncertainty. The least deprived group show an increasing advantage, over the national average, in terms of deaths from circulatory disease and external causes.

Cigarette Smoking and All-Cause and Cause-Specific Adult Mortality in the United States

This study illuminates the association between cigarette smoking and adult mortality in the contemporary United States. Recent studies have estimated smoking-attributable mortality using indirect approaches or with sample data that are not nationally representative and that lack key confounders. We use the 1990-2011 National Health Interview Survey Linked Mortality Files to estimate relative risks of all-cause and cause-specific mortality for current and former smokers compared with never smokers. We examine causes of death established as attributable to smoking as well as additional causes that appear to be linked to smoking but have not yet been declared by the U.S. Surgeon General to be caused by smoking. Mortality risk is substantially elevated among smokers for established causes and moderately elevated for additional causes. We also decompose the mortality disadvantage among smokers by cause of death and estimate the number of smoking-attributable deaths for the U.S. adult population ages 35+, net of sociodemographic and behavioral confounders. The elevated risks translate to 481,887 excess deaths per year among current and former smokers compared with never smokers, 14 % to 15 % of which are due to the additional causes. The additional causes of death contribute to the health burden of smoking and should be considered in future studies of smoking-attributable mortality. This study demonstrates that smoking-attributable mortality must remain a top population health priority in the United States and makes several contributions to further underscore the human costs of this tragedy that has ravaged American society for more than a century.

A comprehensive analysis of the mortality experience of hispanic subgroups in the United States: Variation by age, country of origin, and nativity

Although those identifying as "Hispanic or Latino" experience lower adult mortality than the more socioeconomically advantaged non-Hispanic white population, the ethnic category Hispanic conceals variation by country of origin, nativity, age, and immigration experience. The current analysis examines adult mortality differentials among 12 Hispanic subgroups by region of origin and nativity, and non-Hispanic whites, adjusting for socioeconomic and demographic characteristics. We use the National Health Interview Survey Linked Mortality Files pooled 1990-2009 to obtain sufficient sample of each subgroup to calculate mortality estimates by sex and age group (25-64, 65+). Among adults aged 65 and over, all foreign born subgroups have an advantage over non-Hispanic whites, and many USB subgroups exhibit an advantage in the adjusted model. Foreign-born Dominicans, Central/South Americans, and other Hispanics exhibit consistent advantages across models for both men and women, aged 25-64 and 65 and over, and both unadjusted and adjusted for socioeconomic covariates. Both US-born and foreign-born Mexicans between ages 25 and 64 have mortality disadvantaged relative to non-Hispanic whites, while older Mexicans exhibit clear advantages. Our results complicate the traditional formulation of the Hispanic Paradox and cast doubt on the singularity of the mortality experience of those of Hispanic origin.

Body Mass Index, Waist Circumference, and Mortality in a Large Multiethnic Postmenopausal Cohort-Results from the Women's Health Initiative

OBJECTIVES

To determine whether the relationship between anthropometric measurements of obesity and mortality varies according to age, race, and ethnicity in older women.

DESIGN

Prospective cohort study of multiethnic postmenopausal women.

SETTING

Women's Health Initiative (WHI) observational study and clinical trials in 40 clinics.

PARTICIPANTS

Postmenopausal women aged 50-79 participating in WHI (N = 161,808).

MEASUREMENTS

Baseline height, weight, and waist circumference (WC) were measured, and body mass index (BMI) was calculated based on height and weight. Demographic, health, and lifestyle data from a baseline questionnaire were used as covariates. The outcome was adjudicated death (n = 18,320) during a mean follow-up of 11.4 ± 3.2 years.

RESULTS

Hazard ratios (HRs) and 95% confidence intervals (95% CIs) indicated that ethnicity and age modified (P < .01) the relationship between obesity and mortality. Underweight was associated with higher mortality, but overweight or slight obesity was not a risk factor for mortality in most ethnic groups except for Hispanic women in the obesity I category (HR = 1.42, 95% CI = 1.04-1.95). BMI was not or was only weakly associated with mortality in individuals aged 70-79 (HR = 0.90, 95% CI = 0.85-0.95 for overweight; HR = 0.98, 95 CI = 0.92-1.06 for obese I; HR = 1.11, 95% CI = 1.00-1.23 for obese II; HR = 1.08, 95% CI = 0.92-1.26 for obese III). In contrast, higher central obesity measured using WC was consistently associated with higher mortality in all groups.

CONCLUSION

Underweight is a significant risk factor for mortality in older women, and healthy BMI ranges may need to be specific for age, race, and ethnicity. The findings support a consistent relationship between central obesity and mortality.

Racial and Ethnic Disparities Among the Remaining Uninsured Young Adults with Behavioral Health Disorders After the ACA Expansion of Dependent Coverage

BACKGROUND

In 2010, the Affordable Care Act (ACA) extended eligibility for dependent coverage under private health insurance. Emerging evidence shows that young adults, including those with behavioral health disorders (BHDs), have benefited from this expansion.

OBJECTIVE

The objective of this study is to explore the population characteristics of the remaining uninsured individuals with and without BHDs and to examine whether the factors that contribute to racial and ethnic disparities in the likelihood of being uninsured were different after the implementation of the ACA provision that extended insurance eligibility for young adults in 2010.

DESIGN

We use cross-sectional data analysis.

PARTICIPANTS

We use a nationally representative dataset of the non-institutionalized civilian population in the Medical Expenditure Panel Survey from 2007 to 2012.

METHODS

We compare population characteristics of the remaining uninsured individuals ages 19-25, before and after the implementation of the ACA expansion in 2010. We use multivariate logistic regression to estimate the predictors (such as family income and English proficiency) that are associated with the likelihood of having no health insurance. We utilize the Fairlie decomposition method to examine the factors that contribute to racial (non-Latino White (White) vs. non-Latino African-American (African-American)) and ethnic (non-Latino White (White) vs. Latino) differences in the probability of being uninsured. Finally, we apply our analysis among populations with and without BHDs respectively, to examine the differences in the predictors of being uninsured between these two groups.

RESULTS

Among individuals with BHDs, after adjusting for covariates, the estimated probabilities of being uninsured for Whites were 0.21 and 0.16 pre- and post- the ACA expansion, respectively. The predicted probabilities of being uninsured for Latinos were 0.29 and 0.26 and for African-American were 0.19 and 0.17 pre- and post- the ACA expansion, respectively. The ethnic disparity between Whites and Latinos was 19 %. The racial disparity was moderate. Reductions in the uninsured rate of individuals without BHDs were observed as well. However, the ethnicity disparity remained at 19 % and the racial disparity increased by 5 %. Overall, our decomposition model explained 63-89 % of the racial and ethnic disparities in insurance coverage. The major factor associated with the ethnic disparity among those with BHDs was the immigrant status of Latinos, and the major factor associated with racial disparity was geographic location. The major factor associated with the ethnic disparity among those without BHDs included the immigrant status of Latinos, lack of English proficiency, and geographic location, whereas the major factor associated with racial disparity was family income.

DISCUSSION

Our study presents health insurance coverage trends among racial and ethnic minorities after the implementation of insurance expansion, a major provision of the ACA. It is important for policy makers to be aware of differences among the remaining uninsured as they evaluate ways to improve healthcare access and affordability.

The Hispanic Paradox in endometrial cancer: A National Cancer Database study

OBJECTIVE

To compare the overall survival of non-Hispanic white and Hispanic women with endometrial cancer.

METHODS

We performed an observational retrospective cohort study of Hispanic and non-Hispanic women with endometrial cancer from the 2004-2014 National Cancer Database. Baseline characteristics were compared with the Chi-squared test for categorical variables or the Mann-Whitney U test for ordinal or continuous variables. The Kaplan-Meier method was used to estimate unadjusted survival times, which were compared with the log-rank test. Missing data was imputed using multiple imputation with chained equations. A multivariable parametric accelerated failure time model for survival was used. Sensitivity analyses were performed using matched cohort analyses of the overall cohort, and of subgroups based on stage or type.

RESULTS

112,574 non-Hispanic and 6313 Hispanic women met inclusion criteria. Five-year survival was slightly higher for Hispanic women (83.1% (82.1-84.3%) versus 81.4% (81.2-81.7%), P=0.002). Hispanic women were younger, treated at lower volume hospitals, and more often diagnosed with a type II histology and stage II-IV disease compared to non-Hispanic women (all P<0.001). With multivariable adjustment for measured confounders, Hispanic women lived 8% longer than non-Hispanic women (time-ratio (95% CI) 1.08 (1.02-1.14), P=0.01). When bias-reducing matched cohort analyses were used for sensitivity analyses, Hispanic women did not have significantly different survival than non-Hispanic women.

CONCLUSION

Hispanic ethnicity was not associated with a clinically meaningful difference in survival among women with endometrial cancer.

Disparities in receipt of care for high-grade endometrial cancer: A National Cancer Data Base analysis

PURPOSE

To examine patterns of care and survival for Hispanic women compared to white and African American women with high-grade endometrial cancer.

METHODS

We utilized the National Cancer Data Base (NCDB) to identify women diagnosed with uterine grade 3 endometrioid adenocarcinoma, carcinosarcoma, clear cell carcinoma and papillary serous carcinoma between 2003 and 2011. The effect of treatment on survival was analyzed using the Kaplan-Meier method. Factors predictive of outcome were compared using the Cox proportional hazards model.

RESULTS

43,950 women were eligible. African American and Hispanic women had higher rates of stage III and IV disease compared to white women (36.5% vs. 36% vs. 33.5%, p<0.001). African American women were less likely to undergo surgical treatment for their cancer (85.2% vs. 89.8% vs. 87.5%, p<0.001) and were more likely to receive chemotherapy (36.8% vs. 32.4% vs. 32%, p<0.001) compared to white and Hispanic women. Over the entire study period, after adjusting for age, time period of diagnosis, region of the country, urban or rural setting, treating facility type, socioeconomic status, education, insurance, comorbidity index, pathologic stage, histology, lymphadenectomy and adjuvant treatment, African American women had lower overall survival compared to white women (Hazard Ratio 1.21, 95% CI 1.16-1.26). Conversely, Hispanic women had improved overall survival compared to white women after controlling for the aforementioned factors (HR 0.87, 95% CI 0.80-0.93).

CONCLUSIONS

Among women with high-grade endometrial cancer, African American women have lower all-cause survival while Hispanic women have higher all-cause survival compared to white women after controlling for treatment, sociodemographic, comorbidity and histopathologic variables.

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.