scholarly journals Reductions in US life expectancy from COVID-19 by Race and Ethnicity: Is 2021 a repetition of 2020?

2021 ◽  
Author(s):  
Theresa Andrasfay ◽  
Noreen Goldman
Keyword(s):  
Life Expectancy ◽  
Race And Ethnicity ◽  
Ethnic Disparities ◽  
White Population ◽  
Widespread Distribution ◽  
Life Expectancy At Birth ◽  
The Us ◽  
The Impact ◽  
Racial Ethnic ◽  
Black And Latino

COVID-19 had a huge mortality impact in the US in 2020 and accounted for the majority of the 1.5-year reduction in 2020 life expectancy at birth. There were also substantial racial/ethnic disparities in the mortality impact of COVID-19 in 2020, with the Black and Latino populations experiencing reductions in life expectancy at birth over twice the reduction experienced by the White population. Despite continued vulnerability of the Black and Latino populations, the hope was that widespread distribution of effective vaccines would mitigate the overall impact and reduce racial/ethnic disparities in 2021. In this study, we use cause-deleted life table methods to estimate the impact of COVID-19 mortality on 2021 US period life expectancy. Our partial-year estimates, based on provisional COVID-19 deaths for January-early October 2021 suggest that racial/ethnic disparities have persisted and that life expectancy at birth in 2021 has already declined by 1.2 years from pre-pandemic levels. Our projected full-year estimates, based on projections of COVID-19 deaths through the end of 2021 from the Institute for Health Metrics and Evaluation, suggest a 1.8-year reduction in US life expectancy at birth from pre-pandemic levels, a steeper decline than the estimates produced for 2020. The reductions in life expectancy at birth estimated for the Black and Latino populations are 1.6-2.4 times the impact for the White population.

scholarly journals The Impact of Diabetes and Edentulism on All-Cause Mortality: Racial and Ethnic Disparities

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 206-207
Author(s):  
Huabin Luo ◽  
Frank Sloan ◽  
Brenda Plassman ◽  
Samrachana Adhikari ◽  
Mark Schwartz ◽  
...  
Keyword(s):  
Risk Factor ◽  
Ethnic Groups ◽  
Proportional Hazards ◽  
Ethnic Disparities ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Models ◽  
The Us ◽  
The Impact ◽  
Racial Ethnic ◽  
Retirement Study

Abstract This study examined the relationships between the concomitance of diabetes mellitus (DM) and edentulism and mortality among Black, Hispanic, and White older adults in the US. We used data from the 2006-2016 Health and Retirement Study with 2,108 Black, 1,331 Hispanic, and 11,544 White respondents aged 50+. Results of weighted Cox proportional hazards models showed that the concomitance of DM and edentulism was associated with a higher mortality risk for Blacks (Hazard Ratio [HR] = 1.58, p < 0.01), Hispanics (HR = 2.16, p < 0.001) and Whites (HR = 1.61, p < 0.001). Findings also indicated that DM was a risk factor for mortality across all racial/ethnic groups, but edentulism was a risk factor only for Whites (HR = 1.30, p < 0.001). This study revealed that the risk of DM and edentulism on mortality varied among racial/ethnic groups. Our study gives alternative explanations for the observed findings.

scholarly journals Impact of COVID-19 Mortality on U.S. Life Expectancy by Socioeconomic Rank of County of Residence

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 236-236
Author(s):  
Denys Dukhovnov ◽  
Magali Barbieri
Keyword(s):  
Public Health ◽  
Life Expectancy ◽  
Mitigation Strategies ◽  
Socioeconomic Disparities ◽  
National Data ◽  
Disadvantaged Communities ◽  
Life Expectancy At Birth ◽  
The Us ◽  
Spatio Temporal ◽  
The Impact

Abstract Mortality disparities due to COVID-19 pandemic in the US accentuated the gap in the targeted public health and education response among disadvantaged communities. We use county data from John Hopkins University of Medicine in conjunction with county socioeconomic decile rankings, and weekly national data from the Centers for Disease Control to uncover the impact of county-level socioeconomic deprivation on the spatio-temporal dynamic of COVID-19 mortality. We estimate that over the course of 2020, the pandemic reduced the life expectancy at birth by 1.33 years (95% CI 1.0-1.56), and by 0.84 years (95% CI 0.59-1.0) by age 85 across all county SES decile groups, relative to the previous year's projection. The highest losses occurred in counties at the ends of the deprivation spectrum, and least affecting those in its middle. Decomposition of the impact of the COVID-19 mortality by seasonal time periods of 2020 reveals that coastal urban and high-SES counties endured a heavy death toll in the initial stages of the pandemic, though managed to cut it by more than a half by the end of 2020. The least affluent, inland, and rural counties have experienced a dramatic and lasting increase in deaths toward the second half of the year. We find that preexisting socioeconomic disparities before COVID-19 remained in force during the pandemic, leaving populations at all ages residing in underserved communities at a greater risk. This both calls into question and further instructs the ongoing public health interventions enabling more effective and equitable infectious disease mitigation strategies.

scholarly journals Reductions in 2020 US life expectancy due to COVID-19 and the disproportionate impact on the Black and Latino populations

2021 ◽  
Vol 118 (5) ◽  
pp. e2014746118 ◽  
Author(s):  
Theresa Andrasfay ◽  
Noreen Goldman
Keyword(s):  
Life Expectancy ◽  
Race And Ethnicity ◽  
The United States ◽  
Hispanic Paradox ◽  
Life Expectancy At Birth ◽  
Estimate Life Expectancy ◽  
Increase Risk ◽  
Control And Prevention ◽  
Mortality Projections ◽  
Black And Latino

COVID-19 has resulted in a staggering death toll in the United States: over 215,000 by mid-October 2020, according to the Centers for Disease Control and Prevention. Black and Latino Americans have experienced a disproportionate burden of COVID-19 morbidity and mortality, reflecting persistent structural inequalities that increase risk of exposure to COVID-19 and mortality risk for those infected. We estimate life expectancy at birth and at age 65 y for 2020, for the total US population and by race and ethnicity, using four scenarios of deaths—one in which the COVID-19 pandemic had not occurred and three including COVID-19 mortality projections produced by the Institute for Health Metrics and Evaluation. Our medium estimate indicates a reduction in US life expectancy at birth of 1.13 y to 77.48 y, lower than any year since 2003. We also project a 0.87-y reduction in life expectancy at age 65 y. The Black and Latino populations are estimated to experience declines in life expectancy at birth of 2.10 and 3.05 y, respectively, both of which are several times the 0.68-y reduction for Whites. These projections imply an increase of nearly 40% in the Black−White life expectancy gap, from 3.6 y to over 5 y, thereby eliminating progress made in reducing this differential since 2006. Latinos, who have consistently experienced lower mortality than Whites (a phenomenon known as the Latino or Hispanic paradox), would see their more than 3-y survival advantage reduced to less than 1 y.

scholarly journals Impact of COVID-19 on 2020 US life expectancy for the Black and Latino populations

2020 ◽  
Author(s):  
Theresa Andrasfay ◽  
Noreen Goldman
Keyword(s):  
Life Expectancy ◽  
Race And Ethnicity ◽  
Black Population ◽  
Risk Of Death ◽  
Life Expectancy At Birth ◽  
Estimate Life Expectancy ◽  
Increase Risk ◽  
One Year ◽  
Mortality Projections ◽  
Black And Latino

AbstractThe Black and Latino populations have experienced a disproportionate burden of COVID-19 morbidity and mortality, reflecting persistent structural inequalities that increase risk of exposure to COVID-19 and risk of death for those infected. According to the National Center for Health Statistics, as of July 4, 2020, deaths to Black and Latino individuals comprised 23% and 17%, respectively, of the approximately 115,000 COVID-19 deaths. COVID-19 mortality is likely to result in a larger decline in life expectancy during 2020 than the US has experienced for decades as well as a particularly large reduction for Black and Latino individuals. We estimate life expectancy at birth and at age 65 for 2020, by race and ethnicity, using four scenarios of deaths – one in which the COVID-19 pandemic had not occurred and three including COVID-19 mortality projections produced by the Institute for Health Metrics and Evaluation. Our most likely estimate indicates a reduction in life expectancy at birth greater than 1.5 years for both the Black and Latino populations, which is one year larger than the reduction for whites. This would imply that the Black-white gap would increase by 30%, from 3.6 to 4.7 years, thereby eliminating progress made in reducing this differential since 2008 and reversing an overall trend of steeper mortality declines among the Black population since the early 1990s. Latinos, who have consistently experienced lower mortality than whites (a phenomenon known as the Latino or Hispanic paradox), would see their survival advantage decline by 36%, equivalent to its magnitude in 2006.

scholarly journals Demographics associated with US healthcare disparities are exacerbated by the telemedicine surge during the COVID-19 pandemic

2021 ◽  
pp. 1357633X2110259
Author(s):  
Kristin N Gmunder ◽  
Jose W Ruiz ◽  
Dido Franceschi ◽  
Maritza M Suarez
Keyword(s):  
Income Tax ◽  
Healthcare Disparities ◽  
Descriptive Statistics ◽  
Internal Revenue Service ◽  
Patient Specific ◽  
Postal Code ◽  
The Us ◽  
Hispanic Patients ◽  
The Impact ◽  
Racial Ethnic

Introduction As coronavirus disease 2019 (COVID-19) hit the US, there was widespread and urgent implementation of telemedicine programs nationwide without much focus on the impact on patient populations with known existing healthcare disparities. To better understand which populations cannot access telemedicine during the coronavirus disease 2019 pandemic, this study aims to demographically describe and identify the most important demographic predictors of telemedicine visit completion in an urban health system. Methods Patient de-identified demographics and telemedicine visit data ( N = 362,764) between March 1, 2020 and October 31, 2020 were combined with Internal Revenue Service 2018 individual income tax data by postal code. Descriptive statistics and mixed effects logistic regression were used to determine impactful patient predictors of telemedicine completion, while adjusting for clustering at the clinical site level. Results Many patient-specific demographics were found to be significant. Descriptive statistics showed older patients had lower rates of completion ( p < 0.001). Also, Hispanic patients had statistically significant lower rates ( p < 0.001). Overall, minorities (racial, ethnic, and language) had decreased odds ratios of successful telemedicine completion compared to the reference. Discussion While telemedicine use continues to be critical during the coronavirus disease 2019 pandemic, entire populations struggle with access—possibly widening existing disparities. These results contribute large datasets with significant findings to the limited research on telemedicine access and can help guide us in improving telemedicine disparities across our health systems and on a wider scale.

scholarly journals The decomposition of life expectancy for age and cause of death in Tuscany, Italy

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
N Nante ◽  
L Kundisova ◽  
F Gori ◽  
A Martini ◽  
F Battisti ◽  
...  
Keyword(s):  
Life Expectancy ◽  
Causes Of Death ◽  
National Level ◽  
Age Groups ◽  
Resistant Bacteria ◽  
Mortality Data ◽  
Life Expectancy At Birth ◽  
Icd 10 ◽  
Reduction Of Mortality ◽  
The Impact

Abstract Introduction Changing of life expectancy at birth (LE) over time reflects variations of mortality rates of a certain population. Italy is amongst the countries with the highest LE, Tuscany ranks fifth at the national level. The aim of the present work was to evaluate the impact of various causes of death in different age groups on the change in LE in the Tuscany region (Italy) during period 1987-2015. Material and methods Mortality data relative to residents that died during the period between 1987/1989 and 2013/2015 were provided by the Tuscan Regional Mortality Registry. The causes of death taken into consideration were cardiovascular (CVS), respiratory (RESP) and infective (INF) diseases and cancer (TUM). The decomposition of LE gain was realized with software Epidat, using the Pollard’s method. Results The overall LE gain during the period between two three-years periods was 6.7 years for males, with a major gain between 65-89, and 4.5 years for females, mainly improved between 75-89, &lt;1 year for both sexes. The major gain (2.6 years) was attributable to the reduction of mortality for CVS, followed by TUM (1.76 in males and 0.83 in females) and RESP (0.4 in males; 0.1 in females). The major loss of years of LE was attributable to INF (-0.15 in females; -0.07 in males) and lung cancer in females (-0.13), for which the opposite result was observed for males (gain of 0.62 years of LE). Conclusions During the study period (1987-2015) the gain in LE was major for males. To the reduction of mortality for CVS have contributed to the tempestuous treatment of acute CVS events and secondary CVS prevention. For TUM the result is attributable to the adherence of population to oncologic screening programmes. The excess of mortality for INF that lead to the loss of LE can be attributed to the passage from ICD-9 to ICD-10 in 2003 (higher sensibility of ICD-10) and to the diffusion of multi-drug resistant bacteria, which lead to elevated mortality in these years. Key messages The gain in LE during the period the 1987-2015 was higher in males. The major contribution to gain in LE was due to a reduction of mortality for CVS diseases.

Life Expectancy At The US-Mexico Border: Evidence Of Disparities By Place, Race, And Ethnicity

2021 ◽  
pp. 10.1377/hlthaff
Author(s):  
Keith P. Gennuso ◽  
Elizabeth A. Pollock ◽  
Anne M. Roubal
Keyword(s):  
Life Expectancy ◽  
Race And Ethnicity ◽  
The Us ◽  
Mexico Border ◽  
Us Mexico Border

Abstract 13150: Racial/Ethnic Disparities of the Impact of the COVID-19 Pandemic Out-of-Hospital Cardiac Arrest (OHCA) in Texas

Circulation ◽  
2021 ◽  
Vol 144 (Suppl_2) ◽  
Author(s):  
Summer Chavez ◽  
Ryan Huebinger ◽  
Kevin Schulz ◽  
Hei Kit Chan ◽  
Micah Panczyk ◽  
...  
Keyword(s):  
Cardiac Arrest ◽  
Hospital Admission ◽  
Minority Groups ◽  
Ethnic Disparities ◽  
Mixed Effect ◽  
Neurological Outcomes ◽  
Random Intercept ◽  
Hispanic Patients ◽  
The Impact ◽  
Racial Ethnic

Introduction: Prior research shows a greater disease burden, lower BCPR rates, and worse outcomes in Black and Hispanic patients after OHCA. The CDC has declared that the COVID-19 pandemic has disproportionately affected many racial and ethnic minority groups. However, the influence of the COVID-19 pandemic on OHCA incidence and outcomes in different races and ethnicities is unknown. Purpose: To describe racial/ethnic disparities in OHCA incidence, processes of care and outcomes in Texas during the COVID-19 pandemic. Methods: We used data from the Texas Cardiac Arrest Registry to Enhance Survival (CARES) comparing adult OHCA from the pre-pandemic period (March 11 - December 31, 2019) to the pandemic period (March 11- December 31, 2020). The racial and ethnic categories were White, Black, Hispanic or Other. Outcomes were rates of BCPR, AED use, sustained ROSC, prehospital termination of resuscitation (TOR), survival to hospital admission, survival to discharge and good neurological outcomes. We fit a mixed effect logistic regression model, with EMS agency designated as the random intercept to obtain aORs. We adjusted for the pandemic and other covariates. Results: A total of 8,070 OHCAs were included. The proportion of cardiac arrests increased for Blacks (903 to 1, 113, 24.9% to 25.5%) and Hispanics (935 to 1,221, 25.8% to 27.5%) and decreased for Whites (1 595 to 1,869, 44.0% to 42.1%) and Other (194 to 220, 5.4% to 5.0%) patients. Compared to Whites, Black (aOR = 0.73, 95% CI 0.65-0.82) and Hispanic patients (aOR = 0.78, 95% CI 0.68-0.87) were less likely to receive BCPR. Compared to Whites, Blacks were less likely to have sustained ROSC (aOR = 0.81, 95% CI 0.70-0.93%), with lower rates of survival to hospital admission (aOR = 0.87, 95% CI 0.75-1.0), and worse neurological outcomes (aOR = 0.45, 95% 0.28-0.73). Hispanics were less likely to have prehospital TOR compared to Whites (aOR = 0.86, 95% CI = 0.75-0.99). The Utstein bystander survival rate was worse for Blacks (aOR = 0.72, 95% CI 0.54-0.97) and Hispanics (aOR = 0.71, 95% 0.53-0.95) compared to Whites. Conclusion: Racial and ethnic disparities persisted during the COVID-19 pandemic in Texas.

Abstract 236: Gender Disparities in Bystander CPR and Defibrillation Persist in Black and Hispanic Neighborhoods in the US

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_4) ◽  
Author(s):  
Audrey L Blewer ◽  
Monique A Starks ◽  
Carolina Malta Hansen ◽  
Marcus E Ong ◽  
Anthony J Viera ◽  
...  
Keyword(s):  
Cardiac Arrest ◽  
Race And Ethnicity ◽  
Gender Disparities ◽  
Ethnic Composition ◽  
Minority Population ◽  
Black Neighborhoods ◽  
The Us ◽  
Bystander Cpr ◽  
To Receive ◽  
Racial Ethnic

Introduction: Bystander CPR (B-CPR) and defibrillation for sudden cardiac arrest (SCA) vary by gender with females being less likely to receive these interventions. Despite known differences by race and ethnicity, it is unknown whether gender disparities in B-CPR and defibrillation persist by neighborhood race and ethnicity. Objectives: We examined the likelihood of receiving B-CPR and defibrillation by gender stratified by public location and neighborhood racial/ethnic composition. We hypothesized that in public locations within Black neighborhoods, females will have a lower likelihood of receiving B-CPR compared to males. Methods: We conducted a retrospective cohort study using data from the US Cardiac Arrest Registry to Enhance Survival (CARES) registry. Neighborhoods were classified by census tract based on percent of Black or Hispanic residents using the threshold in the definition of “White flight” where Whites leave a neighborhood when it exceeds >30% of a minority population. We independently modeled the likelihood of receipt of B-CPR and defibrillation by gender stratified by public location and neighborhood racial/ethnic composition controlling for confounding variables. Results: From 2013-2018, CARES collected 350,722 US arrests; after excluding pediatric arrests, those witnessed by EMS, or those that occurred in a healthcare facility, 214,464 were included. Mean age was 64±16 and 65% were male; 39% received B-CPR, 9% received bystander defibrillation prior to 9-1-1 responders arrival, and 18% occurred in the public. In Black neighborhoods, females who had SCA in public locations were 22% less likely to receive B-CPR (OR: 0.78 (0.64-0.95), p=0.01) and 42% less likely to receive defibrillation (OR: 0.58 (0.45-0.74), p<0.01) compared to males. In Hispanic neighborhoods, females who had SCA in public locations were also less likely to receive B-CPR (OR: 0.72 (0.59-0.87), p<0.01) and less likely to receive defibrillation (OR: 0.62 (0.48-0.80), p<0.01) compared to males. Conclusion: Females with public SCA have a decreased likelihood of receiving B-CPR and defibrillation, and these findings persist in Black and Hispanic neighborhoods. This has implications for strategies to reduce disparities around bystander response to SCA.

Voting Rights, Election Administration, and Turnout for Racial Minorities

2020 ◽  
pp. 91-110
Author(s):  
Michael Ritter
Keyword(s):  
African Americans ◽  
Ethnic Minorities ◽  
Asian Americans ◽  
Race And Ethnicity ◽  
Hispanic Americans ◽  
Election Administration ◽  
Midterm Elections ◽  
The Impact ◽  
Racial Ethnic ◽  
Over Time

Race and ethnicity group identity also shape participation in politics, with non-Hispanics whites being the most likely to vote in U.S. elections over time. Can accessible elections shrink turnout inequality between non-Hispanic whites and racial/ethnic minorities (African Americans, Hispanic Americans, and Asian Americans)? Chapter 6 empirically evaluates the impact of convenience voting laws and election administration on the change in the probably of voting in midterm and presidential elections comparing across racial subgroups. The results show that same day registration boosts turnout among non-Hispanics whites, as well as Asian Americans, Hispanics, and African Americans, in presidential and midterm elections. Early in-person voting especially advantages blacks and Hispanics in midterm elections, while absentee/mail voting is found to have similar effects for Asian Americans. Both non-Hispanic whites and racial and ethnic minorities benefit from quality state election administration.

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