scholarly journals Women and ethnoracial minorities with poor cardiovascular health measures associated with a higher risk of developing mood disorder

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Aixia Guo ◽  
Kari A. Stephens ◽  
Yosef M. Khan ◽  
James R. Langabeer ◽  
Randi E. Foraker
Keyword(s):  
Medical Records ◽  
Cardiovascular Health ◽  
Hemoglobin A1c ◽  
American Heart ◽  
The United States ◽  
Outpatient Clinics ◽  
Race And Gender ◽  
Health Measures ◽  
High Utility ◽  
And Gender

Abstract Background Mood disorders (MDS) are a type of mental health illness that effects millions of people in the United States. Early prediction of MDS can give providers greater opportunity to treat these disorders. We hypothesized that longitudinal cardiovascular health (CVH) measurements would be informative for MDS prediction. Methods To test this hypothesis, the American Heart Association’s Guideline Advantage (TGA) dataset was used, which contained longitudinal EHR from 70 outpatient clinics. The statistical analysis and machine learning models were employed to identify the associations of the MDS and the longitudinal CVH metrics and other confounding factors. Results Patients diagnosed with MDS consistently had a higher proportion of poor CVH compared to patients without MDS, with the largest difference between groups for Body mass index (BMI) and Smoking. Race and gender were associated with status of CVH metrics. Approximate 46% female patients with MDS had a poor hemoglobin A1C compared to 44% of those without MDS; 62% of those with MDS had poor BMI compared to 47% of those without MDS; 59% of those with MDS had poor blood pressure (BP) compared to 43% of those without MDS; and 43% of those with MDS were current smokers compared to 17% of those without MDS. Conclusions Women and ethnoracial minorities with poor cardiovascular health measures were associated with a higher risk of development of MDS, which indicated the high utility for using routine medical records data collected in care to improve detection and treatment for MDS among patients with poor CVH.

scholarly journals Cardiovascular Health at the Intersection of Race and Gender: Life-Course Processes to Reduce Health Disparities

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 506-507
Author(s):  
Chioun Lee ◽  
Soojin Park ◽  
Jennifer Boylan
Keyword(s):  
Black Women ◽  
Black Men ◽  
White Women ◽  
Cardiovascular Health ◽  
White Men ◽  
The United States ◽  
Economic Security ◽  
Race And Gender ◽  
And Gender ◽  
Unmeasured Confounders

Abstract Objective: Higher cardiovascular health (CVH) scores are significantly associated with reductions in aging-related disease and mortality but racial minorities exhibit poor CVH. We examine the degree to which (a) disparities in CVH exist at the intersection of race and gender and (b) CVH disparities would be reduced if marginalized groups had the same levels of resources and adversities as privileged groups. Methods: We used biomarker subsamples from the Midlife in the United States (MIDUS) core study and Refresher studies (N=1,948). Causal decomposition analysis was implemented to test hypothetical interventions to equalize the distribution of early-life adversities (ELAs), perceived discrimination, or adult SES between marginalized and privileged groups. We conducted sensitivity analyses to determine to what degree unmeasured confounders would invalidate our findings. Results: White women have the highest CVH score, followed by White men, Black men, and Black women. Intervening on ELAs reduces the disparities: White men vs. Black women (30% of reduction) and White women vs. Black women (15%). Intervening on adult SES provides large disparity reductions: White men vs. Black men (79%), White men vs. Black women (70%), White women vs. Black men (25%), and White women vs. Black women (32%). Among these combinations, interventions on ELAs and adult SES are robust to unmeasured confounders. However, intervening on discrimination makes little change in initial disparities. Discussion: Economic security in midlife for Blacks helps reduce racial disparities in cardiovascular health. Preventing exposure to ELAs among Black women may reduce their vulnerability to cardiovascular disease, compared to Whites.

Race and Gender

2020 ◽  
pp. 251-269 ◽  
Author(s):  
Timnit Gebru
Keyword(s):  
Machine Learning ◽  
Language Processing ◽  
The United States ◽  
Error Rates ◽  
Political Factors ◽  
Recidivism Rates ◽  
Race And Gender ◽  
Decision Tools ◽  
And Gender ◽  
Technical Solutions

This chapter discusses the role of race and gender in artificial intelligence (AI). The rapid permeation of AI into society has not been accompanied by a thorough investigation of the sociopolitical issues that cause certain groups of people to be harmed rather than advantaged by it. For instance, recent studies have shown that commercial automated facial analysis systems have much higher error rates for dark-skinned women, while having minimal errors on light-skinned men. Moreover, a 2016 ProPublica investigation uncovered that machine learning–based tools that assess crime recidivism rates in the United States are biased against African Americans. Other studies show that natural language–processing tools trained on news articles exhibit societal biases. While many technical solutions have been proposed to alleviate bias in machine learning systems, a holistic and multifaceted approach must be taken. This includes standardization bodies determining what types of systems can be used in which scenarios, making sure that automated decision tools are created by people from diverse backgrounds, and understanding the historical and political factors that disadvantage certain groups who are subjected to these tools.

scholarly journals Tax Progressivity of Personal Wages and Income Inequality

2021 ◽  
Vol 14 (2) ◽  
pp. 60
Author(s):  
Nikolaos Papanikolaou
Keyword(s):  
Income Inequality ◽  
The United States ◽  
Census Bureau ◽  
Tax System ◽  
Race And Gender ◽  
Tax Progressivity ◽  
Income Data ◽  
Kakwani Index ◽  
And Gender ◽  
Wage Income

The paper examines tax progressivity and income inequality using Census Bureau Current Population Survey (CPS) personal income data. The Kakwani index is used to derive tax progressivity for All, Male, Female, White and African American personal wage income of CPS respondents, respectively. The tax progressivity results show a tax system that is partly progressive and mostly regressive. Due to its regressive nature, the tax system did not display tax progressivity for the entire period under analysis for personal wage income respondents as well as when broken-down by race and gender in the United States for years 1996 to 2011.

scholarly journals I’m Every Woman: Advancing the Intersectional Leadership of Black Women School Leaders as Anti-Racist Praxis

2021 ◽  
Vol 31 (1-2) ◽  
pp. 7-28
Author(s):  
April L. Peters ◽  
Angel Miles Nash
Keyword(s):  
Black Women ◽  
The United States ◽  
Women's Leadership ◽  
Three Dimensions ◽  
Race And Gender ◽  
Leadership Framework ◽  
And Gender ◽  
Resisting Oppression ◽  
Epistemological Basis

The rallying, clarion call to #SayHerName has prompted the United States to intentionally include the lives, voices, struggles, and contributions of Black women and countless others of her ilk who have suffered and strived in the midst of anti-Black racism. To advance a leadership framework that is rooted in the historicity of brilliance embodied in Black women’s educational leadership, and their proclivity for resisting oppression, we expand on intersectional leadership. We develop this expansion along three dimensions of research centering Black women’s leadership: the historical foundation of Black women’s leadership in schools and communities, the epistemological basis of Black women’s racialized and gendered experiences, and the ontological characterization of Black women’s expertise in resisting anti-Black racism in educational settings. We conclude with a four tenet articulation detailing how intersectional leadership: (a) is explicitly anti-racist; (b) is explicitly anti-sexist; (c) explicitly acknowledges the multiplicative influences of marginalization centering race and gender, and across planes of identity; and (d) explicitly leverages authority to serve and protect historically underserved communities.

scholarly journals Balancing race, gender, and responsibility: Conversations with four black women in educational leadership in the United States of America

2021 ◽  
pp. 174114322199183
Author(s):  
Natasha N Johnson
Keyword(s):  
United States ◽  
Black Women ◽  
Educational Leadership ◽  
United States Of America ◽  
Hermeneutic Phenomenology ◽  
The United States ◽  
Women's Leadership ◽  
Structured Interviews ◽  
Race And Gender ◽  
And Gender

This article focuses on equitable leadership and its intersection with related yet distinct concepts salient to social justice pertinent to women and minorities in educational leadership. This piece is rooted and framed within the context of the United States of America, and the major concepts include identity, equity, and intersectionality—specific to the race-gender dyad—manifested within the realm of educational leadership. The objective is to examine theory and research in this area and to discuss the role they played in this study of the cultures of four Black women, all senior-level leaders within the realm of K-20 education in the United States. This work employed the tenets of hermeneutic phenomenology, focusing on the intersecting factors—race and gender, specifically—that impact these women’s ability and capability to perform within the educational sector. The utilization of in-depth, timed, semi-structured interviews allowed participants to reflect upon their experiences and perceptions as Black women who have navigated and continue to successfully navigate the highest levels of the educational leadership sphere. Contributors’ recounted stories of navigation within spaces in which they are underrepresented revealed the need for more research specific to the intricacies of Black women’s leadership journeys in the context of the United States.

scholarly journals Intersecting race and gender stereotypes: Implications for group-level attitudes

2017 ◽  
Vol 21 (8) ◽  
pp. 1172-1184 ◽  
Author(s):  
Curtis E. Phills ◽  
Amanda Williams ◽  
Jennifer M. Wolff ◽  
Ashley Smith ◽  
Rachel Arnold ◽  
...  
Keyword(s):  
Black Men ◽  
Gender Stereotypes ◽  
South Asians ◽  
The United States ◽  
Men And Women ◽  
Race And Gender ◽  
The United Kingdom ◽  
Minority Men ◽  
And Gender ◽  
The Relationship

Two studies examined the relationship between explicit stereotyping and prejudice by investigating how stereotyping of minority men and women may be differentially related to prejudice. Based on research and theory related to the intersectional invisibility hypothesis (Purdie-Vaughns & Eibach, 2008), we hypothesized that stereotyping of minority men would be more strongly related to prejudice than stereotyping of minority women. Supporting our hypothesis, in both the United Kingdom (Study 1) and the United States (Study 2), when stereotyping of Black men and women were entered into the same regression model, only stereotyping of Black men predicted prejudice. Results were inconsistent in regard to South Asians and East Asians. Results are discussed in terms of the intersectional invisibility hypothesis (Purdie-Vaughns & Eibach, 2008) and the gendered nature of the relationship between stereotyping and attitudes.

Changes in the Structure and Quality of Jobs in the United States: Effects by Race and Gender, 1973–1990

ILR Review ◽  
1995 ◽  
Vol 48 (3) ◽  
pp. 420-440 ◽  
Author(s):  
Maury B. Gittleman ◽  
David R. Howell
Keyword(s):  
White Men ◽  
Work Force ◽  
The United States ◽  
Sharp Drop ◽  
Race And Gender ◽  
Female Workers ◽  
Job Classification ◽  
Employment Share ◽  
And Gender

Using 17 measures of job quality from the 1980 Census, the Current Population Survey, and the Dictionary of Occupational Titles, the authors perform a cluster analysis that groups 621 jobs covering 94% of the work force into six job categories (termed “contours”), a job classification closely resembling those suggested by labor market segmentation theory. The distribution of employment over the period 1973–90 shifted sharply away from the two middle-quality contours toward the two highest-quality contours. The two lowest-quality contours show no decline in employment share in the 1980s. The declining relative position of employed black and Hispanic men stems from both a worsening job mix relative to white men and a sharp drop in the quality of low-skill jobs. Female workers experienced both a greater shift away from jobs in the lower-quality contours and higher real earnings growth within each job contour than male workers.

How race and gender shape the development of social prototypes in the United States

2021 ◽  
Author(s):  
Ryan Lei ◽  
Rachel Leshin ◽  
Kelsey Moty ◽  
Emily Foster-Hanson ◽  
Marjorie Rhodes
Keyword(s):  
Middle Eastern ◽  
Female Gender ◽  
The United States ◽  
Asian Woman ◽  
Social Categories ◽  
Race And Gender ◽  
Cultural Ideologies ◽  
Identity Based ◽  
And Gender ◽  
Gender Categories

The present studies examined how gender and race information shape children’s prototypes of various social categories. Children (N=543; Mage=5.81, range=2.75 - 10.62; 281 girls, 262 boys; 193 White, 114 Asian, 71 Black, 50 Hispanic, 39 Multiracial, 7 Middle-Eastern, 69 race unreported) most often chose White people as prototypical of boys and men—a pattern that increased with age. For female gender categories, children most often selected a White girl as prototypical of girls, but an Asian woman as prototypical of women. For superordinate social categories (person and kid), children tended to choose members of their own gender as most representative. Overall, the findings reveal how cultural ideologies and identity-based processes interact to shape the development of social prototypes across childhood.

Abstract P003: Distribution of Ideal Cardiovascular Health Metrics in US and Non-US populations: A Meta-Analysis of Proportions

Circulation ◽  
2015 ◽  
Vol 131 (suppl_1) ◽  
Author(s):  
Adnan Younus ◽  
Ehimen Aneni ◽  
Oluseye Ogunmoroti ◽  
Omar Jamal ◽  
Shozab Ali ◽  
...  
Keyword(s):  
American Heart Association ◽  
Cardiovascular Health ◽  
American Heart ◽  
Meta Analysis ◽  
Heart Association ◽  
The United States ◽  
Free Text ◽  
Significant Heterogeneity ◽  
Ideal Cardiovascular Health ◽  
Us Studies

Introduction: With the development of new health metrics to define ideal cardiovascular health (CVH), several studies have examined the distribution of the American Heart Association (AHA) 2020 ideal CVH metrics both within and outside the United States (US). In this meta-analysis of proportions, we synthesized available data on ideal CVH metrics distribution in US cohorts and compared them with non-US populations. Methods: A MEDLINE database search was conducted using relevant free text terms such as “life’s simple 7”, “AHA 2020”, “American Heart Association 2020” and “ideal cardiovascular health” between January 2000 and October 2014. Studies were included in the meta-analysis if the proportions achieving ideal for 0, 1, 2, 3, 4, 5 or ≥6 ideal CVH metrics were known or could be estimated. A meta-analysis of proportions was conducted for US and non-US studies using a random effect model (REM). REM models were chosen because of the significant heterogeneity among studies. Results: Overall the pooled data consisted of 10 US cohorts with a total population of 94,761 participants and 6 non-US cohorts with a total of 130,242 participants. The table shows the pooled prevalence of ideal CVH factors in this population. Overall the pooled estimates of US cohorts showed 15% had 0-1 ideal CVH metrics (inter-study range: 7-22%), while 3% (inter-study range: 1-10%) had 6-7 ideal CVH metrics. This is comparable to 12% (inter-study range 1-17%) and 2% (inter-study range: 1-12%) for 0-1 and 6-7 ideal CVH metrics in the non-US studies. Conclusion: The proportion of persons achieving 6 or more ideal CVH metrics in both US and non-US cohorts is very low and the distribution of CVH metrics is similar in both US and non-US populations. Considering the strong association with worse outcomes, a coordinated global effort at improving CVH should be considered a priority.

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