scholarly journals Marginalized Communities are Underrepresented as Creative Contributors

2022 ◽  
Author(s):  
Chad M. Topaz ◽  
Jude Higdon ◽  
Avriel Epps-Darling ◽  
Ethan Siau ◽  
Harper Karkhoff ◽  
...  
Keyword(s):  
Ethnic Groups ◽  
Contemporary Art ◽  
Alaska Native ◽  
Demographic Data ◽  
White Men ◽  
Marginalized Communities ◽  
The Many ◽  
Creative Artists ◽  
Racial Ethnic ◽  
The U.S

We investigate the socially inferred gender and racial/ethnic identities of influential creative artists in four domains. Women make up 51% of the U.S. population but are underrepresented in contemporary art (28%), fashion (45%), box office film (27%), and popular music (17%). Marginalized racial/ethnic groups make up 39% of the U.S. population yet comprise approximately half that figure in contemporary art (22%), fashion (22%), and film (19%). Black musical artists have higher representation (48%), though higher representation does not equate with equity and inclusion. As for intersectional identity, white men are overrepresented in all four domains by factors ranging from 1.4 to 2 as compared to the U.S. population, and most other gender-racial/ethnic groups are further minoritized. Our study is the first comprehensive, comparative, empirical look at intersectional identity across creative fields. The exclusion of marginalized individuals, including those who are women, American Indian / Alaska Native, Asian, Black, Latinx, and Native Hawaiian / Pacific Islander, is severe. The lack of self-expressed demographic data is a challenge, as is the erasure of certain identity groups from the American Community Survey, including agender, gender noncomforming, nonbinary, and transgender individuals. These are challenges that, if addressed, would enhance our collective understanding of diversity in creative fields. Efforts taken by executives, influencers, and other power brokers to make creative fields more diverse, equitable, and inclusive would amplify the many well-documented benefits of art to individuals and to society.

scholarly journals Disproportionate Impact of COVID-19 Pandemic on Racial and Ethnic Minorities

2020 ◽  
pp. 000313482097335
Author(s):  
Brad Boserup ◽  
Mark McKenney ◽  
Adel Elkbuli
Keyword(s):  
Ethnic Groups ◽  
Social Vulnerability ◽  
Negative Binomial ◽  
Demographic Data ◽  
National Level ◽  
The United States ◽  
Death Rates ◽  
Social Distancing ◽  
The Impact ◽  
Racial Ethnic

Background Health disparities are prevalent in many areas of medicine. We aimed to investigate the impact of the COVID-19 pandemic on racial/ethnic groups in the United States (US) and to assess the effects of social distancing, social vulnerability metrics, and medical disparities. Methods A cross-sectional study was conducted utilizing data from the COVID-19 Tracking Project and the Centers for Disease Control and Prevention (CDC). Demographic data were obtained from the US Census Bureau, social vulnerability data were obtained from the CDC, social distancing data were obtained from Unacast, and medical disparities data from the Center for Medicare and Medicaid Services. A comparison of proportions by Fisher’s exact test was used to evaluate differences between death rates stratified by age. Negative binomial regression analysis was used to predict COVID-19 deaths based on social distancing scores, social vulnerability metrics, and medical disparities. Results COVID-19 cumulative infection and death rates were higher among minority racial/ethnic groups than whites across many states. Older age was also associated with increased cumulative death rates across all racial/ethnic groups on a national level, and many minority racial/ethnic groups experienced significantly greater cumulative death rates than whites within age groups ≥ 35 years. All studied racial/ethnic groups experienced higher hospitalization rates than whites. Older persons (≥ 65 years) also experienced more COVID-19 deaths associated with comorbidities than younger individuals. Social distancing factors, several measures of social vulnerability, and select medical disparities were identified as being predictive of county-level COVID-19 deaths. Conclusion COVID-19 has disproportionately impacted many racial/ethnic minority communities across the country, warranting further research and intervention.

scholarly journals Dementia Care in Diverse Older Adults in the U.S. Deep South and the Rest of the United States

2021 ◽  
pp. 1-13
Author(s):  
Maria Pisu ◽  
Roy C. Martin ◽  
Liang Shan ◽  
Giovanna Pilonieta ◽  
Richard E. Kennedy ◽  
...  
Keyword(s):  
United States ◽  
Alzheimer’S Disease ◽  
Older Adults ◽  
Alzheimer's Disease ◽  
Drug Use ◽  
Ethnic Groups ◽  
The United States ◽  
Deep South ◽  
Racial Ethnic ◽  
The U.S

Background: Use of specialists and recommended drugs has beneficial effects for older adults living with Alzheimer’s disease and related dementia (ADRD). Gaps in care may exist for minorities, e.g., Blacks, and especially in the United States (U.S.) Deep South (DS), a poor U.S. region with rising ADRD cases and minority overrepresentation. Currently, we have little understanding of ADRD care utilization in diverse populations in this region and elsewhere in the U.S. (non-DS), and the factors that adversely impact it. Objective: To examine utilization of specialists and ADRD drugs (outcomes) in racial/ethnic groups of older adults with ADRD and the personal or context-level factors affecting these outcomes in DS and non-DS. Methods: We obtained outcomes and personal-level covariates from claims for 127,512 Medicare beneficiaries with ADRD in 2013–2015, and combined county-level data in exploratory factor analysis to define context-level covariates. Adjusted analyses tested significant association of outcomes with Black/White race and other factors in DS and non-DS. Results: Across racial/ethnic groups, 33%–43% in DS and 43%–50% in non-DS used specialists; 47%–55% in DS and 41%–48% in non-DS used ADRD drugs. In adjusted analyses, differences between Blacks and Whites were not significant. Vascular dementia, comorbidities, poverty, and context-level factor “Availability of Medical Resources” were associated with specialist use; Alzheimer’s disease and senile dementia, comorbidities, and specialist use were associated with drug use. In non-DS only, other individual, context-level covariates were associated with the outcomes. Conclusion: We did not observe significant gaps in ADRD care in DS and non-DS; however, research should further examine determinants of low specialist and drug use in these regions.

Abstract P059: Multiple Cause-of-Death Analysis Reveals Under Reporting of Disease Burden for Diabetes

Circulation ◽  
2017 ◽  
Vol 135 (suppl_1) ◽  
Author(s):  
Katherine G Hastings ◽  
Jiaqi Hu ◽  
Nadejda Marques ◽  
Eric J Daza ◽  
Mark Cullen ◽  
...  
Keyword(s):  
Ethnic Groups ◽  
Cause Of Death ◽  
Causes Of Death ◽  
Mortality Rates ◽  
Minority Populations ◽  
Race Ethnicity ◽  
Underlying Cause Of Death ◽  
The Impact ◽  
Racial Ethnic ◽  
The U.S

Introduction: Despite being considerably under reported as the underlying cause of death on death certificates, and consequently on mortality figures, diabetes is among the ten leading causes of death in the U.S. A multiple cause-of-death analysis shows the extent to which diabetes is associated with other leading causes of death. Hypothesis: Analysis of multiple-cause-of-death will confirm prevalence rates of diabetes among racial/ethnic minority populations, demonstrate the impact of diabetes in association with other causes of death, and highlight variations of burden of disease among different racial/ethnic groups. Methods: Causes of death were identified using the Multiple Cause Mortality Files of the National Center for Health Statistics from 2003 to 2012. Age-adjusted mortality rates were calculated for diabetes both as the underlying cause of death (UCD) and as multiple causes of death (MCD) by racial/ethnic groups (NHWs, Blacks, Asians, and Hispanic/Latinos). Frequencies and proportions were calculated by race/ethnicity groups. Linear regression model was used for number of causes per death. Results: A total of 2,335,198 decedents had diabetes listed as MCD in the U.S. national death records from 2003-2012. Mortality rates of diabetes as MCD were 3.4 times than UCD for Asians, 2.9 times for Blacks, 2.9 times for Hispanics and 3.7 times for NHWs (Figure). Minority populations had higher proportion of deaths with diabetes reported as MCD than NHWs (1.7 times higher for Hispanics, 1.5 times higher for Blacks and Asians). Adjusting for age, gender, and race/ethnicity, there were 1.7 more causes per death co-occurred for diabetes decedents compared to decedents who died due to all other causes (95% CI: 1.714, 1.718). Conclusions: Our findings underscore the importance of a multiple-cause-of-death approach in the analyses for a more comprehensive understanding of the impact of diabetes.

Snacking Behaviors among Young Children: Examination of Snacking Across Racial/Ethnic Groups in the U.S.

2016 ◽  
Vol 116 (9) ◽  
pp. A31
Author(s):  
L. Shriver ◽  
B. Marriage ◽  
T. Bloch ◽  
C. Spees ◽  
S. Ramsay ◽  
...  
Keyword(s):  
Young Children ◽  
Ethnic Groups ◽  
Racial Ethnic ◽  
The U.S

232 COVID stress and sleep disturbance among a racially/ethnically diverse sample of adolescents: Analysis from the NESTED study

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A92-A93
Author(s):  
Azizi Seixas ◽  
Sarah Honaker ◽  
Amy Wolfson ◽  
Kyla Wahlstrom ◽  
Judith Owens ◽  
...  
Keyword(s):  
Sleep Disturbance ◽  
Ethnic Groups ◽  
Alaska Native ◽  
Social Vulnerability ◽  
Online Survey ◽  
Social Vulnerability Index ◽  
Race Ethnicity ◽  
Related Stress ◽  
Chi Square Analysis ◽  
Racial Ethnic

Abstract Introduction Using data from the Nationwide Education and Sleep in TEens During COVID (NESTED) study (N=6,578), we investigated if race/ethnicity (64.6% were White and 35.4% identified as a racial/ethnic minority, mixed, or “other”) and community social vulnerability affected the association between COVID stress and sleep disturbance. Methods Data on sociodemographic factors (age, race, sex, grade, zip code [for neighborhood social vulnerability index, SVI]), COVID-related stress, depression, anxiety, instructional format (online, in-person, or hybrid), and sleep disturbance (PROMIS Pediatric Sleep Disturbance) were captured through an online survey. Descriptive and inferential analyses (Hierarchical Binary Logistic Regression (HBLR), SPSS v. 25) in 4171 adolescents examined associations between sleep disturbance and COVID-related stress, adjusting for race, sex, SVI, grade level, learning format, household density, and mental health factors. Results Sleep disturbance was prevalent among adolescents (89% above average, T-score >50); about two-thirds (64.4%) reported greater stress due to the pandemic. Compared to White (88.5%) adolescents, sleep disturbance was more common in Black (91.2%), Hispanic (90.5%), American Indian/Alaska native (95.1%), and Mixed (92.3%) and less common in Asian (83.9%) adolescents. Chi-square analysis indicated that both race/ethnicity (□2 = 14.96, p<.05) and SVI (□2 = 8.34, p<.05) had an effect on sleep disturbance. HBLR analysis indicated that compared to pre-pandemic, adolescents reporting “little stress” (OR=.70, 95% CI= .49-.99, p=.04) or “the “same amount of stress” (OR=.64, 95% CI= .47-.89, p=.007) had lower odds of sleep disturbance. Higher depression (OR=1.06, 95% CI=1.04-1.07, p<.001) and anxiety (OR=1.05, 95% CI=1.04-1.07, p<.001) symptoms increased odds of sleep disturbance, while male gender lowered odds of sleep disturbance (OR=.11, 95% CI=.015-.86, p<.05). Overall, race/ethnicity (p=.44) and SVI (p=.45) did not independently predict sleep disturbance. Race/ethnicity stratified analyses indicated that for Black and Hispanic adolescents, being in grades 11/ 12 and depression predicted sleep disturbance; and for Asian adolescents SVI and anxiety predicted sleep disturbance. Conclusion COVID-related stress and symptoms of depression and anxiety are associated with sleep disturbance. We observed differences in sleep disturbance across racial/ethnic groups and neighborhood social vulnerability strata, for specific racial/ethnic groups. Support (if any) AS was supported by funding from the NIH (K01HL135452, R01HL152453)

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