scholarly journals Racial/Ethnic Disparities in Mortality: Contributions and Variations by Rurality in the United States, 2012–2015

2019 ◽  
Vol 16 (3) ◽  
pp. 436 ◽  
Author(s):  
Jeffrey Hall ◽  
Ramal Moonesinghe ◽  
Karen Bouye ◽  
Ana Penman-Aguilar
Keyword(s):  
Rural Areas ◽  
Ethnic Disparities ◽  
The United States ◽  
Mortality Rates ◽  
Malignant Neoplasms ◽  
Ethnic Populations ◽  
Asian Pacific Islanders ◽  
Race Ethnicity ◽  
Asian Pacific ◽  
Racial Ethnic

The value of disaggregating non-metropolitan and metropolitan area deaths in illustrating place-based health effects is evident. However, how place interacts with characteristics such as race/ethnicity has been less firmly established. This study compared socioeconomic characteristics and age-adjusted mortality rates by race/ethnicity in six rurality designations and assessed the contributions of mortality rate disparities between non-Hispanic blacks (NHBs) and non-Hispanic whites (NHWs) in each designation to national disparities. Compared to NHWs, age-adjusted mortality rates for: (1) NHBs were higher for all causes (combined), heart disease, malignant neoplasms, and cerebrovascular disease; (2) American Indian and Alaska Natives were significantly higher for all causes in rural areas; (3) Asian Pacific islanders and Hispanics were either lower or not significantly different in all areas for all causes combined and all leading causes of death examined. The largest contribution to the U.S. disparity in mortality rates between NHBs and NHWs originated from large central metropolitan areas. Place-based variations in mortality rates and disparities may reflect resource, and access inequities that are often greater and have greater health consequences for some racial/ethnic populations than others. Tailored, systems level actions may help eliminate mortality disparities existing at intersections between race/ethnicity and place.

scholarly journals National Population-Level Disparities in COVID-19 Mortality Across the Intersection of Race/Ethnicity and Sex in the United States

2021 ◽  
Author(s):  
Jay J Xu ◽  
Jarvis T Chen ◽  
Thomas R Belin ◽  
Ronald S Brookmeyer ◽  
Marc A Suchard ◽  
...  
Keyword(s):  
United States ◽  
American Indian ◽  
Ethnic Disparities ◽  
Population Level ◽  
The United States ◽  
Mortality Rates ◽  
Hispanic American ◽  
National Population ◽  
Race Ethnicity ◽  
Racial Ethnic

Males and certain racial/ethnic minority groups have borne a disproportionate burden of COVID-19 mortality in the United States, and substantial scientific research has sought to quantify and characterize population-level disparities in COVID-19 mortality outcomes by sex and across categories of race/ethnicity. However, there has not yet been a national population-level study to quantify disparities in COVID-19 mortality outcomes across the intersection of these demographic dimensions. Here, we analyze a publicly available dataset from the National Center for Health Statistics comprising COVID-19 death counts stratified by race/ethnicity, sex, and age for the year 2020, calculating mortality rates for each race/ethnicity-sex-age stratum and age-adjusted mortality rates for each race/ethnicity-sex stratum, quantifying disparities in terms of mortality rate ratios and rate differences. Our results reveal persistently higher COVID-19 age-adjusted mortality rates for males compared to females within every racial/ethnic group, with notable variation in the magnitudes of the sex disparity by race/ethnicity. However, non-Hispanic Black, Hispanic, and non-Hispanic American Indian or Alaska Native females have higher age-adjusted mortality rates than non-Hispanic White and non-Hispanic Asian/Pacific Islander males. Moreover, persistent racial/ethnic disparities are observed among both males and females, with higher COVID-19 age-adjusted mortality rates observed for non-Hispanic Blacks, Hispanics, and non-Hispanic American Indian or Alaska Natives relative to non-Hispanic Whites.

scholarly journals Racial and Ethnic Disparities in Years of Potential Life Lost Attributable to COVID-19 in the United States: An Analysis of 45 States and the District of Columbia

2021 ◽  
Vol 18 (6) ◽  
pp. 2921
Author(s):  
Jay J. Xu ◽  
Jarvis T. Chen ◽  
Thomas R. Belin ◽  
Ronald S. Brookmeyer ◽  
Marc A. Suchard ◽  
...  
Keyword(s):  
United States ◽  
District Of Columbia ◽  
Ethnic Disparities ◽  
The United States ◽  
Attributable Mortality ◽  
Race Ethnicity ◽  
Using Data ◽  
Rate Ratios ◽  
Degree Of Association ◽  
Racial Ethnic

The coronavirus disease 2019 (COVID-19) epidemic in the United States has disproportionately impacted communities of color across the country. Focusing on COVID-19-attributable mortality, we expand upon a national comparative analysis of years of potential life lost (YPLL) attributable to COVID-19 by race/ethnicity (Bassett et al., 2020), estimating percentages of total YPLL for non-Hispanic Whites, non-Hispanic Blacks, Hispanics, non-Hispanic Asians, and non-Hispanic American Indian or Alaska Natives, contrasting them with their respective percent population shares, as well as age-adjusted YPLL rate ratios—anchoring comparisons to non-Hispanic Whites—in each of 45 states and the District of Columbia using data from the National Center for Health Statistics as of 30 December 2020. Using a novel Monte Carlo simulation procedure to perform estimation, our results reveal substantial racial/ethnic disparities in COVID-19-attributable YPLL across states, with a prevailing pattern of non-Hispanic Blacks and Hispanics experiencing disproportionately high and non-Hispanic Whites experiencing disproportionately low COVID-19-attributable YPLL. Furthermore, estimated disparities are generally more pronounced when measuring mortality in terms of YPLL compared to death counts, reflecting the greater intensity of the disparities at younger ages. We also find substantial state-to-state variability in the magnitudes of the estimated racial/ethnic disparities, suggesting that they are driven in large part by social determinants of health whose degree of association with race/ethnicity varies by state.

Infant Mortality among Adolescent Mothers in the United States: A 5-Year Analysis of Racial and Ethnic Disparities

2020 ◽  
Author(s):  
Matthew D. Moore ◽  
Anne E. Brisendine ◽  
Martha S. Wingate
Keyword(s):  
United States ◽  
Preterm Birth ◽  
Infant Mortality ◽  
Ethnic Disparities ◽  
The United States ◽  
Racial And Ethnic Disparities ◽  
Postneonatal Mortality ◽  
Maternal Characteristics ◽  
Race Ethnicity ◽  
Racial Ethnic

Objective This study was aimed to examine differences in infant mortality outcomes across maternal age subgroups less than 20 years in the United States with a specific focus on racial and ethnic disparities. Study Design Using National Center for Health Statistics cohort-linked live birth–infant death files (2009-2013) in this cross-sectional study, we calculated descriptive statistics by age (<15, 15–17, and 18–19 years) and racial/ethnic subgroups (non-Hispanic white [NHW], non-Hispanic black [NHB], and Hispanic) for infant, neonatal, and postneonatal mortality. Adjusted odds ratios (aOR) were calculated by race/ethnicity and age. Preterm birth and other maternal characteristics were included as covariates. Results Disparities were greatest for mothers <15 and NHB mothers. The risk of infant mortality among mothers <15 years compared to 18 to 19 years was higher regardless of race/ethnicity (NHW: aOR = 1.40, 95% confidence interval [CI]: 1.06–1.85; NHB: aOR = 1.28, 95% CI: 1.04–1.56; Hispanic: aOR = 1.36, 95%CI: 1.07–1.74). Compared to NHW mothers, NHB mothers had a consistently higher risk of infant mortality (15–17 years: aOR = 1.12, 95% CI: 1.03–1.21; 18–19 years: aOR = 1.21, 95% CI: 1.15–1.27), while Hispanic mothers had a consistently lower risk (15–17 years: aOR = 0.72, 95% CI: 0.66–0.78; 18–19 years: aOR = 0.74, 95% CI: 0.70–0.78). Adjusting for preterm birth had a greater influence than maternal characteristics on observed group differences in mortality. For neonatal and postneonatal mortality, patterns of disparities based on age and race/ethnicity differed from those of overall infant mortality. Conclusion Although infants born to younger mothers were at increased risk of mortality, variations by race/ethnicity and timing of death existed. When adjusted for preterm birth, differences in risk across age subgroups declined and, for some racial/ethnic groups, disappeared. Key Points

scholarly journals Striking Racial/Ethnic Disparities in Liver Cancer Incidence Rates and Temporal Trends in California, 1988–2012

2018 ◽  
Vol 110 (11) ◽  
pp. 1259-1269 ◽  
Author(s):  
Christopher Pham ◽  
Tse-Ling Fong ◽  
Juanjuan Zhang ◽  
Lihua Liu
Keyword(s):  
Asian American ◽  
Temporal Trends ◽  
Ethnic Disparities ◽  
Population Based ◽  
Incidence Rates ◽  
Annual Percent Change ◽  
Southeast Asians ◽  
Ethnic Populations ◽  
Race Ethnicity ◽  
Racial Ethnic

AbstractBackgroundHepatocellular carcinoma (HCC) is characterized by disparate risk patterns by race/ethnicity. We examined HCC incidence patterns and temporal trends among detailed racial/ethnic populations, including disaggregated Asian-American subgroups.MethodsUsing data from the population-based California Cancer Registry, we identified 41 929 invasive HCC cases diagnosed during 1988–2012. Patients were grouped into mutually exclusive racial/ethnic groups of non-Hispanic (NH) white, NH black, Hispanic, and NH Asian/Pacific Islander (API), as well as Asian subgroups of Chinese, Filipino, Japanese, Korean, Vietnamese, Cambodian, Laotian, and South Asian. Age-adjusted and age-specific incidence rates by sex, race/ethnicity, and time period were calculated. The average annual percent change (AAPC) in incidence rates was estimated using joinpoint regression. All estimates were provided with the 95% confidence intervals (CIs).ResultsAggregated NH API had higher HCC risk than NH whites, NH blacks, and Hispanics. When disaggregated, Southeast Asians (Vietnamese, Cambodians, and Laotians) had overall HCC incidence rates eight to nine times higher than NH whites and more than twice that of other ethnic Asians. Statistically significant rising temporal trends of HCC were found in NH whites, NH blacks, and Hispanics, especially those older than age 50 years. Overall HCC risk declined in Chinese males (AAPC = –1.3%, 95% CI = –2.0 to –0.6), but rose in Filipino (AAPC = +1.2%, 95% CI = 0.3 to 2.1) and Japanese males (AAPC = +3.0%, 95% CI = 0.4 to 5.6) and Vietnamese (AAPC = +4.5%, 95% CI = 0.7 to 8.5) and Laotian (+3.4%, 95% CI = 0.1 to 6.8) females.ConclusionsOur findings provide valuable information for the identification of at-risk ethnic subgroups of Asian Americans while underscoring the importance of disaggregating ethnic populations in cancer research.

scholarly journals Racial/Ethnic Disparities in Lost Earnings From Cancer Deaths in the United States

2020 ◽  
Vol 4 (5) ◽  
Author(s):  
Jingxuan Zhao ◽  
Kimberly D Miller ◽  
Farhad Islami ◽  
Zhiyuan Zheng ◽  
Xuesong Han ◽  
...  
Keyword(s):  
United States ◽  
Economic Burden ◽  
Ethnic Disparities ◽  
The United States ◽  
Pacific Islanders ◽  
Equal Access ◽  
Years Of Life Lost ◽  
Cancer Death ◽  
Race Ethnicity ◽  
Racial Ethnic

Abstract Background Little is known about disparities in economic burden due to premature cancer deaths by race or ethnicity in the United States. This study aimed to compare person-years of life lost (PYLLs) and lost earnings due to premature cancer deaths by race/ethnicity. Methods PYLLs were calculated using recent national cancer death and life expectancy data. PYLLs were combined with annual median earnings to generate lost earnings. We compared PYLLs and lost earnings among individuals who died at age 16-84 years due to cancer by racial/ethnic groups (non-Hispanic [NH] White, NH Black, NH Asian or Pacific Islander, and Hispanic). Results In 2015, PYLLs due to all premature cancer deaths were 6 512 810 for NH Whites, 1 196 709 for NH Blacks, 279 721 for NH Asian or Pacific Islanders, and 665 968 for Hispanics, translating to age-standardized lost earning rates (per 100 000 person-years) of $34.9 million, $43.5 million, $22.2 million, and $24.5 million, respectively. NH Blacks had higher age-standardized PYLL and lost earning rates than NH Whites for 13 of 19 selected cancer sites. If age-specific PYLL and lost earning rates for NH Blacks were the same as those of NH Whites, 241 334 PYLLs and $3.2 billion lost earnings (22.6% of the total lost earnings among NH Blacks) would have been avoided. Disparities were also observed for average PYLLs and lost earnings per cancer death for all cancers combined and 18 of 19 cancer sites. Conclusions Improving equal access to effective cancer prevention, screening, and treatment will be important in reducing the disproportional economic burden associated with racial/ethnic disparities.

scholarly journals Measuring the missing: greater racial and ethnic disparities in COVID-19 burden after accounting for missing race/ethnicity data

2020 ◽  
Author(s):  
Katie Labgold ◽  
Sarah Hamid ◽  
Sarita Shah ◽  
Neel R. Gandhi ◽  
Allison Chamberlain ◽  
...  
Keyword(s):  
Ethnic Disparities ◽  
Case Fatality ◽  
The United States ◽  
Infection Rates ◽  
Bias Adjustment ◽  
Social Inequities ◽  
Increased Risk ◽  
Race Ethnicity ◽  
The Difference ◽  
Racial Ethnic

AbstractBlack, Hispanic, and Indigenous persons in the United States have an increased risk of SARS-CoV-2 infection and death from COVID-19, due to persistent social inequities. The magnitude of the disparity is unclear, however, because race/ethnicity information is often missing in surveillance data. In this study, we quantified the burden of SARS-CoV-2 infection, hospitalization, and case fatality rates in an urban county by racial/ethnic group using combined race/ethnicity imputation and quantitative bias-adjustment for misclassification. After bias-adjustment, the magnitude of the absolute racial/ethnic disparity, measured as the difference in infection rates between classified Black and Hispanic persons compared to classified White persons, increased 1.3-fold and 1.6-fold respectively. These results highlight that complete case analyses may underestimate absolute disparities in infection rates. Collecting race/ethnicity information at time of testing is optimal. However, when data are missing, combined imputation and bias-adjustment improves estimates of the racial/ethnic disparities in the COVID-19 burden.

scholarly journals Racial and Ethnic Disparities in Years of Potential Life Lost Attributable to COVID-19 in the United States: An Analysis of 45 States and the District of Columbia

2021 ◽  
Author(s):  
Jay J. Xu ◽  
Jarvis T. Chen ◽  
Thomas R. Belin ◽  
Ronald S. Brookmeyer ◽  
Marc A. Suchard ◽  
...  
Keyword(s):  
United States ◽  
District Of Columbia ◽  
Ethnic Disparities ◽  
The United States ◽  
Attributable Mortality ◽  
Estimation Uncertainty ◽  
Race Ethnicity ◽  
Using Data ◽  
Rate Ratios ◽  
Racial Ethnic

AbstractThe coronavirus disease 2019 (COVID-19) epidemic in the United States has disproportionately impacted communities of color across the country. Focusing on COVID-19-attributable mortality, we expand upon a national comparative analysis of years of potential life lost (YPLL) attributable to COVID-19 by race/ethnicity (Bassett et al., 2020), estimating percentages of total YPLL for non-Hispanic Whites, non-Hispanic Blacks, Hispanics, non-Hispanic Asians, and non-Hispanic American Indian or Alaska Natives, contrasting them with their respective percent population shares, as well as age-adjusted YPLL rate ratios – anchoring comparisons to non-Hispanic Whites – in each of 45 states and the District of Columbia using data from the National Center for Health Statistics as of December 30, 2020. Using a novel Monte Carlo simulation procedure to quantify estimation uncertainty, our results reveal substantial racial/ethnic disparities in COVID-19-attributable YPLL across states, with a prevailing pattern of non-Hispanic Blacks and Hispanics experiencing disproportionately high and non-Hispanic Whites experiencing disproportionately low COVID-19-attributable YPLL. Furthermore, observed disparities are generally more pronounced when measuring mortality in terms of YPLL compared to death counts, reflecting the greater intensity of the disparities at younger ages. We also find substantial state-to-state variability in the magnitudes of the estimated racial/ethnic disparities, suggesting that they are driven in large part by social determinants of health whose degree of association with race/ethnicity varies by state.

scholarly journals Race and ethnicity on MS presentation and disease course

2020 ◽  
Vol 26 (5) ◽  
pp. 561-567
Author(s):  
Lilyana Amezcua ◽  
Jacob L McCauley
Keyword(s):  
African Americans ◽  
Race And Ethnicity ◽  
Ethnic Disparities ◽  
European Ancestry ◽  
Mortality Trends ◽  
Ethnic Populations ◽  
Specific Mortality ◽  
Future Challenges ◽  
Race Ethnicity ◽  
Racial Ethnic

Multiple sclerosis (MS) has a strong racial and ethnic component and disproportionately affects whites of European background. Recent incidence reports suggest an increasing rate of MS among African Americans compared with whites. Despite this recent increase in MS in African Americans, Hispanics and Asians are significantly less likely to develop MS than whites of European ancestry. MS-specific mortality trends demonstrate distinctive disparities by race/ethnicity and age, suggesting that there is an unequal burden of disease. Inequalities in health along with differences in clinical characteristics that may be genetic, environmental, and social in origin may be contributing to disease variability and be suggestive of endophenotypes. The overarching goal of this review was to summarize the current understanding on the variability of disease that we observe in selected racial and ethnic populations: Hispanics and African Americans. Future challenges will be to unravel the genetic, environmental, and social determinants of the observed racial/ethnic disparities.

scholarly journals Racial and Ethnic Disparities in Heart and Cerebrovascular Disease Deaths During the COVID-19 Pandemic in the United States

Circulation ◽  
2021 ◽  
Author(s):  
Rishi Wadhera ◽  
Jose F. Figueroa ◽  
Fatima Rodriguez ◽  
Michael Liu ◽  
Wei Tian ◽  
...  
Keyword(s):  
United States ◽  
Heart Disease ◽  
Cerebrovascular Disease ◽  
Ethnic Minorities ◽  
Minority Group ◽  
Ethnic Disparities ◽  
The United States ◽  
Race Ethnicity ◽  
Racial Ethnic ◽  
Hispanic White

Background: Cardiovascular deaths increased during the early phase of the COVID-19 pandemic in the United States. However, it is unclear whether racial/ethnic minorities have experienced a disproportionate rise in heart disease and cerebrovascular disease deaths. Methods: We used the National Center for Health Statistics to identify heart disease and cerebrovascular disease deaths for non-Hispanic White, non-Hispanic Black, non-Hispanic Asian, and Hispanic individuals from March-August 2020 (pandemic period), as well as for the corresponding months in 2019 (historical control). We determined the age- and sex-standardized deaths per million by race/ethnicity for each year. We then fit a modified Poisson model with robust standard errors to compare change in deaths by race/ethnicity for each condition in 2020 vs. 2019. Results: There were a total of 339,076 heart disease and 76,767 cerebrovascular disease deaths from March through August 2020, compared to 321,218 and 72,190 deaths during the same months in 2019. Heart disease deaths increased during the pandemic in 2020, compared with the corresponding period in 2019, for non-Hispanic White (age-sex standardized deaths per million, 1234.2 vs. 1208.7; risk ratio for death [RR] 1.02, 95% CI 1.02-1.03), non-Hispanic Black (1783.7 vs. 1503.8; RR 1.19, 1.17-1.20), non-Hispanic Asian (685.7 vs. 577.4; RR 1.19, 1.15-1.22), and Hispanic (968.5 vs. 820.4, RR 1.18, 1.16-1.20) populations. Cerebrovascular disease deaths also increased for non-Hispanic White (268.7 vs. 258.2; RR 1.04, 95% CI 1.03-1.05), non-Hispanic Black (430.7 vs. 379.7; RR 1.13, 95% CI 1.10-1.17), non-Hispanic Asian (236.5 vs. 207.4; RR 1.15, 1.09-1.21), and Hispanic (264.4 vs. 235.9; RR 1.12, 1.08-1.16) populations. For both heart disease and cerebrovascular disease deaths, each racial and ethnic minority group experienced a larger relative increase in deaths than the non-Hispanic White population (interaction term, p<0.001). Conclusions: During the COVID-19 pandemic in the US, Black, Hispanic, and Asian populations experienced a disproportionate rise in deaths due to heart disease and cerebrovascular disease, suggesting that racial/ethnic minorities have been most impacted by the indirect effects of the pandemic. Public health and policy strategies are needed to mitigate the short- and long-term adverse effects of the pandemic on the cardiovascular health of minority populations.

scholarly journals The Disparities in Childhood Obesity in Low Socioeconomic Status and Racial/Ethnic Populations: An analytical literature review

2019 ◽  
Vol 7 (1) ◽  
pp. 685-694
Author(s):  
Kimberley M. M. Hutapea
Keyword(s):  
Socioeconomic Status ◽  
Childhood Obesity ◽  
Literature Review ◽  
Low Socioeconomic Status ◽  
The United States ◽  
Low Socioeconomic ◽  
Ethnic Populations ◽  
Race Ethnicity ◽  
Racial Ethnic ◽  
Obesity In Children

Disparities in Childhood Obesity in Low Socioeconomic Status and Racial/Ethnic Populations: An analytical literature review Kimberly Hutapea1   1Dept. of Nursing, STIKes Rajawali, Bandung, Indonesia [email protected]   Abstact Introduction: Since childhood obesity is linked with an increased risk of obesity in adulthood, obesity in children and adolescence brings a multitude of adverse health outcomes including, but not limited to cardiovascular disease, sleep apnea, diabetes, some forms of cancer, hypertension, and death.  This study focuses on analytical evaluation of disparities of childhood obesity in low socioeconomic status and racial/ethnic populations.   Methods: The analytical review was conducted on the literature available online focusing five dimensions for the analysis is expressed in the following points: (1) What is evel of incidence of childhood obesity in the United States, (2) What is definition of childhood obesity? (3) What are the factors that impact obesity? (4) What is the appropriate theoretical framework for research on childhood obesity? (5) What are the knowledge gaps and the recommended future research?.   Results: The prevalence of obesity in children and adolescents is very alarming and needs to be addressed because this health status, being overweight/obese, has a significant and unfavorable impact on not only the health of young Americans today but also the future health of young Americans. Using the percentile categories to determine childhood obesity, there are noteworthy differences when comparing obesity rates by race/ethnicity, gender, and socioeconomic status. There was no significant correlation between race/ethnicity and overweight/obese when controlling the income.   Discussion: When addressing disparities in childhood obesity it is important to understand not only the causes of obesity, but also other factors which may amplify the causes of obesity.  Socioeconomic status during childhood, being male, white,  has a high possibility of adiposity in adolescence.  Exposure to media and marketing, the reduced access and availability of quality and affordable food products is an example of a factor that may amplify the cause of obesity.   Keywords: childhood obesity, socioeconomic status, ethnic population.  

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