scholarly journals Black-White Differences in 20-year Trends in Cardiovascular Risk in the United States, 1990-2010

2019 ◽  
Vol 29 (4) ◽  
pp. 587-598 ◽  
Author(s):  
Uchechi A. Mitchell ◽  
Jennifer A. Ailshire ◽  
Jung Ki Kim ◽  
Eileen M. Crimmins

Objective: Improvements in the Black- White difference in life expectancy have been attributed to improved diagnosis and treatment of cardiovascular diseases and declines in cardiovascular disease mortal­ity. However, it is unclear whether race differences in total cardiovascular risk and the prevalence of cardiovascular risk factors have improved in the United States since the 1990s.Design: Serial cross-sectional design.Setting: Data from the 1988-1994, 1999- 2002, and 2009-2012 National Health and Nutrition Examination Survey (NHANES).Methods: We estimated total cardiovascu­lar risk levels, the prevalence of high-risk cardiovascular risk factors and the use of antihypertensive and lipid-lowering drugs among US Black and White men and women to determine whether differential changes occurred from 1990-2010.Results: Total cardiovascular risk declined for all races from 1990-2010. The Black- White difference was only significant in 2000 and sex-specific analyses showed that trends seen in the total population were driven by changes among women. Black and White men did not differ in risk at any time during this period. Conversely, Black women had significantly higher risk than White women in 1990 and 2000; this dif­ference was eliminated by 2010. Improved diagnosis and treatment of high blood pres­sure and high cholesterol reduced risk in the total population; improved blood pressure and lipid profiles among Black women and increasing obesity prevalence among White women specifically contributed to the nar­rowing of the Black-White difference in risk among women.Conclusion: Cardiovascular risk and racial disparities in risk declined among US Whites and Blacks due to greater use and effective­ness of lipid-lowering and antihypertensive medications.Ethn Dis. 2019;29(4):587-598; doi:10.18865/ed.29.4.587

1996 ◽  
Vol 26 (4) ◽  
pp. 673-690 ◽  
Author(s):  
Robert A. Hahn ◽  
Elaine D. Eaker ◽  
Nancy D. Barker ◽  
Steven M. Teutsch ◽  
Waldemar A. Sosniak ◽  
...  

The authors conducted a survival analysis to determine the effect of poverty on mortality in a national sample of blacks and whites, 25 to 74 years of age (the first National Health and Nutrition Examination Survey (NHANES-1) and NHANES-I Epidemiologic Follow-up Study). They estimated the proportion of mortality associated with poverty during 1971–1984 and in 1991 by calculating population attributable risk and assessed confounding by major known risk factors (e.g., smoking, cholesterol levels, and physical inactivity). In 1973, 6.0 percent of U.S. mortality among black and white persons 25 to 74 years of age was attributable to poverty; in 1991, the proportion was 5.9 percent. In 1991, rates of mortality attributable to poverty were lowest for white women, 2.2 times as high for white men, 8.6 times as high for black men, and 3.6 times as high for black women. Adjustment for all these potential confounders combined had little effect on the hazard ratio among men, but reduced the effect of poverty on mortality among women by 42 percent. The proportion of mortality attributable to poverty among U.S. black and white adults has changed only minimally in recent decades. The effect of poverty on mortality must be largely explained by conditions other than commonly recognized risk factors.


PLoS ONE ◽  
2013 ◽  
Vol 8 (1) ◽  
pp. e54056 ◽  
Author(s):  
J. Jaime Miranda ◽  
Victor M. Herrera ◽  
Julio A. Chirinos ◽  
Luis F. Gómez ◽  
Pablo Perel ◽  
...  

2019 ◽  
Author(s):  
Bernice Kennedy ◽  
Chalice Rhodes (Former Jenkins)

Abstract Historically, during slavery, the international slave trade promoted normalization of violence against African American women. During slavery, African American women endured inhuman conditions because of the majority race views of them as being over-sexualized, physically strong, and immoral. This perception of the African American women as being highly sexual and more sexual than white women results in slave owner justifying their sexual violation and degrading of the African American women. The stereotypical representations of African American women as strong, controlling, dangerous, fearless, and invulnerable may interfere with the African American women receiving the needed services for domestic violence in the community. The Strong Black Women Archetype has been dated back to slavery describing their coping mechanism in dealing with oppression by developing a strong, less traditionally female role. The authors developed a model: The Multidimensional Perspectives of Factors Contributing to Domestic Violence of African American Women in the United States. This model depicts historically, the factors contributing to domestic violence of African American women in the United States. Also, this model addressed the African American women subscribing to the Strong Black Women Archetype to cope with domestic violence. Despite the increase in domestic violence in African American women, they focused more on the issue of racism instead of sexism in America. African American women have experienced the two obstacles of racism and sexism in America. However, African American women and men believe racism is more critical than sexism. Therefore, domestic violence in the African American population may remain silent because of cultural loyalty. However, the voice of silence of African American females is gradually changing with the upcoming generations.


1995 ◽  
Vol 141 (5) ◽  
pp. 428-439 ◽  
Author(s):  
Larry S. Webber ◽  
Voula Osganian ◽  
Russell V. Luepker ◽  
Henry A. Feldman ◽  
Elaine J. Stone ◽  
...  

Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
Yoshihiro Tanaka ◽  
Nilay Shah ◽  
Rod Passman ◽  
Philip Greenland ◽  
Sadiya Khan

Background: Atrial fibrillation (AF) is the most common sustained arrhythmia in adults and the prevalence is increasing due to the aging of the population and the growing burden of vascular risk factors. Although deaths due to cardiovascular disease (CVD) death have dramatically decreased in recent years, trends in AF-related CVD death has not been previously investigated. Purpose: We sought to quantify trends in AF-related CVD death rates in the United States. Methods: AF-related CVD death was ascertained using the CDC WONDER online database. AF-related CVD deaths were identified by listing CVD (I00-I78) as underlying cause of death and AF (I48) as contributing cause of death among persons aged 35 to 84 years. We calculated age-adjusted mortality rates (AAMR) per 100,000 population, and examined trends over time estimating average annual percent change (AAPC) using Joinpoint Regression Program (National Cancer Institute). Subgroup analyses were performed to compare AAMRs by sex-race (black and white men and women) and across two age groups (younger: 35-64 years, older 65-84 years). Results: A total of 522,104 AF-related CVD deaths were identified between 1999 and 2017. AAMR increased from 16.0 to 22.2 per 100,000 from 1999 to 2017 with an acceleration following an inflection point in 2009. AAPC before 2009 was significantly lower than that after 2009 [0.4% (95% CI, 0.0 - 0.7) vs 3.5% (95% CI, 3.1 - 3.9), p < 0.001). The increase of AAMR was observed across black and white men and women overall and in both age groups (FIGURE), with a more pronounced increase in black men and white men. Black men had the highest AAMR among the younger decedents, whereas white men had the highest AAMR among the older decedents. Conclusion: This study revealed that death rate for AF-related CVD has increased over the last two decades and that there are greater black-white disparities in younger decedents (<65 years). Targeting equitable risk factor reduction that predisposes to AF and CVD mortality is needed to reduce observed health inequities.


2019 ◽  
Vol 4 (1) ◽  
pp. 238146831881476 ◽  
Author(s):  
Elizabeth R. Stevens ◽  
Qinlian Zhou ◽  
Glen B. Taksler ◽  
Kimberly A. Nucifora ◽  
Marc Gourevitch ◽  
...  

Background. Reference life expectancies inform frequently used health metrics, which play an integral role in determining resource allocation and health policy decision making. Existing reference life expectancies are not able to account for variation in geographies, populations, and disease states. Using a computer simulation, we developed a reference life expectancy estimation that considers competing causes of mortality, and is tailored to population characteristics. Methods. We developed a Monte Carlo microsimulation model that explicitly represented the top causes of US mortality in 2014 and the risk factors associated with their onset. The microsimulation follows a birth cohort of hypothetical individuals resembling the population of the United States. To estimate a reference life expectancy, we compared current circumstances with an idealized scenario in which all modifiable risk factors were eliminated and adherence to evidence-based therapies was perfect. We compared estimations of years of potential years life lost with alternative approaches. Results. In the idealized scenario, we estimated that overall life expectancy in the United States would increase by 5.9 years to 84.7 years. Life expectancy for men would increase from 76.4 years to 82.5 years, and life expectancy for women would increase from 81.3 years to 86.8 years. Using age-75 truncation to estimate potential years life lost compared to using the idealized life expectancy underestimated potential health gains overall (38%), disproportionately underestimated potential health gains for women (by 70%) compared to men (by 40%), and disproportionately underestimated the importance of heart disease for white women and black men. Conclusion. Mathematical simulations can be used to estimate an idealized reference life expectancy among a population to better inform and assess progress toward targets to improve population health.


2003 ◽  
Vol 93 (10) ◽  
pp. 1748-1752 ◽  
Author(s):  
Nathaniel C. Briggs ◽  
Robert S. Levine ◽  
H. Irene Hall ◽  
Otis Cosby ◽  
Edward A. Brann ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document