Worshiping across the Color Line: The Influence of Congregational Composition on Whites’ Friendship Networks and Racial Attitudes

2018 ◽  
Vol 5 (1) ◽  
pp. 100-114 ◽  
Author(s):  
Edward C. Polson ◽  
Kevin D. Dougherty
Keyword(s):  
Ethnic Groups ◽  
Ethnic Diversity ◽  
Ethnic Composition ◽  
Friendship Networks ◽  
Color Line ◽  
Recent Scholarship ◽  
Multiracial Congregations ◽  
Race Ethnicity ◽  
American Society ◽  
Racial Ethnic

Religious participation has reinforced the color line in American society for generations. Despite rising racial and ethnic diversity across U.S. communities, most Americans continue to belong to congregations composed primarily of others from their own racial/ethnic groups. Yet recent scholarship suggests that the presence of multiple racial or ethnic groups in the same congregation is increasing. The authors examine how the racial/ethnic composition of U.S. congregations is related to white attenders’ friendship networks and comfort with other racial/ethnic groups (i.e., blacks, Hispanics, and Asians). Using national survey data, the authors find that whites in multiracial congregations report more diverse friendship networks and higher levels of comfort with nonwhites than do whites in nonmultiracial congregations. However, the influence of worshipping with another race/ethnicity seems to be most pronounced for whites in congregations with Hispanics. Moreover, neighbors and friends of other races have more impact on whites’ friendship networks and attitudes than do congregations. The authors discuss implications of these findings for understanding U.S. intergroup relations and the potential of congregations to address the color line.

scholarly journals The Bridging Activity of Multiracial Congregations

Religions ◽  
2019 ◽  
Vol 10 (3) ◽  
pp. 204
Author(s):  
Edward Polson ◽  
Rachel Gillespie
Keyword(s):  
Social Capital ◽  
Ethnic Diversity ◽  
Social Trust ◽  
Ethnic Composition ◽  
Religious Congregations ◽  
Bridging Social Capital ◽  
Service Programs ◽  
Multiracial Congregations ◽  
The Relationship ◽  
Racial Ethnic

The growing diversity of U.S. communities has led scholars to explore how racial/ethnic diversity effects social capital, civic engagement, and social trust. Less is known about the relationship between diversity and the work of community-based organizations (CBOs). In this study, we examine how the racial/ethnic composition of one ubiquitous type of CBO, religious congregations, is related to measures of organizational bridging social capital. Analyzing data collected through a census of congregations in one Midwestern county, we explore the relationship between racial/ethnic diversity and the bridging activity of religious congregations. We find that multiracial congregations are more likely to be involved with externally focused service programs, tend to support a larger number of programs, and report more interorganizational collaborators than other congregations. Our findings suggest that multiracial congregations can provide a valuable resource for increasingly diverse communities and civil society.

scholarly journals Racial/Ethnic Diversity in Academic Public Health: 20-Year Update

2019 ◽  
Vol 135 (1) ◽  
pp. 74-81 ◽  
Author(s):  
Melody S. Goodman ◽  
Christine M. Plepys ◽  
Jemar R. Bather ◽  
Rita M. Kelliher ◽  
Cheryl G. Healton
Keyword(s):  
Public Health ◽  
Native American ◽  
Ethnic Diversity ◽  
Role Models ◽  
Ethnically Diverse ◽  
Ethnic Composition ◽  
Public Health Workforce ◽  
Percentage Points ◽  
Race Ethnicity ◽  
Racial Ethnic

Objective: This study is a follow-up to an examination of the racial/ethnic composition of public health students (1996) and faculty (1997) at schools of public health that was conducted 20 years ago. We examined data on the race/ethnicity of students, graduates, and faculty among Association of Schools and Programs of Public Health (ASPPH)–member institutions during 2016-2017 and how these data have changed in the past 20 years. Methods: We obtained data on the race/ethnicity of students (in 1996 and 2016), graduates (in 1996 and 2016), and faculty (in 1997 and 2017) at ASPPH-member institutions from the ASPPH Data Center. We tabulated frequencies, percentages, and 20-year percentage-point changes by race/ethnicity. We examined data for all current ASPPH-member institutions and for comparable subcohorts of 1996 and 1997 member institutions that are current ASPPH members. Results: In graduate student enrollment, the 20-year increase in each nonwhite racial/ethnic subgroup was ≤5 percentage points. Among tenured faculty, the 20-year increase was greatest among Asians (8 percentage points) but was <3 percentage points for black, Hispanic, and Native American faculty. Conclusions: The increasing racial/ethnic diversity among students, graduates, and faculty in schools and programs of public health contributes to parallel increases in racial/ethnic diversity in the public health workforce. Schools and programs of public health should recruit clusters of racial/ethnic minority students using holistic application review processes, provide enrolled students with racially/ethnically diverse role models and mentors, and dedicate staffing to ensure a student-centered approach. In addition, those who mentor racially/ethnically diverse students and junior faculty should be rewarded.

scholarly journals Racial Disparities in Virologic Failure and Tolerability During Firstline HIV Antiretroviral Therapy

2019 ◽  
Vol 6 (2) ◽  
Author(s):  
Priya Bhagwat ◽  
Shashi N Kapadia ◽  
Heather J Ribaudo ◽  
Roy M Gulick ◽  
Judith S Currier
Keyword(s):  
Antiretroviral Therapy ◽  
Adverse Events ◽  
Socioeconomic Factors ◽  
Ethnic Groups ◽  
Virologic Failure ◽  
Virologic Suppression ◽  
Factors Associated ◽  
Race Ethnicity ◽  
The Impact ◽  
Racial Ethnic

Abstract Background Racial/ethnic disparities in HIV outcomes have persisted despite effective antiretroviral therapy. In a study of initial regimens, we found viral suppression varied by race/ethnicity. In this exploratory analysis, we use clinical and socioeconomic data to assess factors associated with virologic failure and adverse events within racial/ethnic groups. Methods Data were from AIDS Clinical Trial Group A5257, a randomized trial of initial regimens with either atazanavir/ritonavir, darunavir/ritonavir, or raltegravir (each combined with tenofovir DF and emtricitabine). We grouped participants by race/ethnicity and then used Cox-proportional hazards regression to examine the impact of demographic, clinical, and socioeconomic factors on the time to virologic suppression and time to adverse event reporting within each racial/ethnic group. Results We analyzed data from 1762 participants: 757 self-reported as non-Hispanic black (NHB), 615 as non-Hispanic white (NHW), and 390 as Hispanic. The proportion with virologic failure was higher for NHB (22%) and Hispanic (17%) participants compared with NHWs (9%). Factors associated with virologic failure were poor adherence and higher baseline HIV RNA level. Prior clinical AIDS diagnosis was associated with virologic failure for NHBs only, and unstable housing and illicit drug use for NHWs only. Factors associated with adverse events were female sex in all groups and concurrent use of medications for comorbidities in NHB and Hispanic participants only. Conclusions Clinical and socioeconomic factors that are associated with virologic failure and tolerability of antiretroviral therapy vary between and within racial and ethnic groups. Further research may shed light into mechanisms leading to disparities and targeted strategies to eliminate those disparities.

Applying the Health Belief Model to Characterize Racial/Ethnic Differences in Digital Conversations Related to Depression Pre– and Mid–COVID-19 (Preprint)

2021 ◽  
Author(s):  
Ruby Castilla-Puentes ◽  
Jacqueline Pesa ◽  
Caroline Brethenoux ◽  
Patrick Furey ◽  
Liliana Gil Valletta ◽  
...  
Keyword(s):  
Health Belief Model ◽  
Ethnic Groups ◽  
Ethnic Differences ◽  
Health Belief ◽  
Depression Symptoms ◽  
Seeking Help ◽  
Key Drivers ◽  
Race Ethnicity ◽  
Belief Model ◽  
Racial Ethnic

BACKGROUND The prevalence of depression symptoms in the United States is >3 times higher mid–COVID-19 versus pre-pandemic. Racial/ethnic differences in mindsets around depression and the potential impact of the COVID-19 pandemic are not well characterized. OBJECTIVE To describe attitudes, mindsets, key drivers, and barriers related to depression pre– and mid–COVID-19 by race/ethnicity using digital conversations about depression mapped to health belief model (HBM) concepts. METHODS Advanced search, data extraction, and AI-powered tools were used to harvest, mine, and structure open-source digital conversations of US adults who engaged in conversations about depression pre– (February 1, 2019-February 29, 2020) and mid–COVID-19 pandemic (March 1, 2020-November 1, 2020) across the internet. Natural language processing, text analytics, and social data mining were used to categorize conversations that included a self-identifier into racial/ethnic groups. Conversations were mapped to HBM concepts (ie, perceived susceptibility, perceived severity, perceived benefits, perceived barriers, cues to action, and self-efficacy). Results are descriptive in nature. RESULTS Of 2.9 and 1.3 million relevant digital conversations pre– and mid–COVID-19, race/ethnicity was determined among 1.8 million (62%) and 979,000 (75%) conversations pre– and mid–COVID-19, respectively. Pre–COVID-19, 1.3 million conversations about depression occurred among non-Hispanic Whites (NHW), 227,200 among Black Americans (BA), 189,200 among Hispanics, and 86,800 among Asian Americans (AS). Mid–COVID-19, 736,100 conversations about depression occurred among NHW, 131,800 among BA, 78,300 among Hispanics, and 32,800 among AS. Conversations among all racial/ethnic groups had a negative tone, which increased pre– to mid–COVID-19; finding support from others was seen as a benefit among most groups. Hispanics had the highest rate of any racial/ethnic group of conversations showing an avoidant mindset toward their depression. Conversations related to external barriers to seeking treatment (eg, stigma, lack of support, and lack of resources) were generally more prevalent among Hispanics, BA, and AS than among NHW. Being able to benefit others and building a support system were key drivers to seeking help or treatment for all racial/ethnic groups. CONCLUSIONS Applying concepts of the HBM to data on digital conversation about depression allowed organization of the most frequent themes by race/ethnicity. Individuals of all groups came online to discuss their depression. There were considerable racial/ethnic differences in drivers and barriers to seeking help and treatment for depression pre– and mid–COVID-19. Generally, COVID-19 has made conversations about depression more negative, and with frequent discussions of barriers to seeking care. These data highlight opportunities for culturally competent and targeted approaches to address areas amenable to change that might impact the ability of people to ask for or receive mental health help, such as the constructs that comprise the HBM.

Racial/Ethnic Diversity and Economy - A Broad Overview of U.S. Counties, 2000-2014

2020 ◽  
Vol 11 (2) ◽  
pp. 18-41
Author(s):  
Madhuri Sharma
Keyword(s):  
Ethnic Diversity ◽  
Household Income ◽  
Distribution Patterns ◽  
Policy Implications ◽  
Median Household Income ◽  
Inertia Effects ◽  
Race Ethnicity ◽  
Racial Ethnic ◽  
County Scale ◽  
Scale Data

This article explores the relationships between diversity, its components, and their change with economic health at the scale of counties, using major economic characteristics such as change in population, labor-force participation, employment and unemployment, and median household income (overall and by race/ethnicity). Tract-scale and county-scale data from the National Historical Geographic Information System are used to compute diversity scores and its components, to visually analyze the spatial distribution patterns. Correlations & stepwise regression models suggest that diversity-2000 associates positively with greater diversity (overall and among non-whites) in 2014, but negatively with a change in diversity (overall, and non-white). While median household income associates with a positive change in diversity, those for Blacks associate negatively with change in diversity, largely supporting the inertia effects of Black presence as an ‘unattractive' factor. Unemployment associates with diversity & change/non-white-diversity, suggesting unemployment likely prevalent among whites. This has huge socio-economic and politics-based policy implications.

scholarly journals Racial/Ethnic Disparities in Mammogram Frequency Among Women With Intellectual Disability

2019 ◽  
Vol 57 (3) ◽  
pp. 177-187 ◽  
Author(s):  
Evelyn Arana ◽  
Amy Carroll-Scott ◽  
Philip M. Massey ◽  
Nora L. Lee ◽  
Ann C. Klassen ◽  
...  
Keyword(s):  
Intellectual Disability ◽  
Black Women ◽  
Medical Record ◽  
Ethnic Groups ◽  
White Women ◽  
Ethnic Disparities ◽  
Medical Record Data ◽  
Record Data ◽  
Race Ethnicity ◽  
Racial Ethnic

Abstract Little information exists on the associations between intellectual disability (ID) and race/ethnicity on mammogram frequency. This study collected survey and medical record data to examine this relationship. Results indicated that Hispanic and Black women with ID were more likely than White women with ID to have mammograms every 2 years. Participants who live in a state-funded residence, were aged 50+, and had a mild or moderate level of ID impairment were more likely to undergo mammography compared to participants living with family or alone, were &lt;50, and had severe ID impairment. Further research is needed to understand the mechanisms explaining disparities in mammograms between these racial/ethnic groups.

Current and Historical Trends in Diversity by Race, Ethnicity, and Sex Within the US Pathology Physician Workforce

2020 ◽  
Vol 154 (4) ◽  
pp. 450-458
Author(s):  
Marissa J White ◽  
Rhea J Wyse ◽  
Alisha D Ware ◽  
Curtiland Deville
Keyword(s):  
Ethnic Diversity ◽  
Rate Of Change ◽  
Physician Workforce ◽  
Underrepresented Minority ◽  
Historical Trends ◽  
Alaskan Native ◽  
Gender Parity ◽  
The Us ◽  
Race Ethnicity ◽  
Racial Ethnic

Abstract Objectives This study assessed historical and current gender, racial, and ethnic diversity trends within US pathology graduate medical education (GME) and the pathologist workforce. Methods Data from online, publicly available sources were assessed for significant differences in racial, ethnic, and sex distribution in pathology trainees, as well as pathologists in practice or on faculty, separately compared with the US population and then each other using binomial tests. Results Since 1995, female pathology resident representation has been increasing at a rate of 0.45% per year (95% confidence interval [CI], 0.29-0.61; P &lt; .01), with pathology now having significantly more females (49.8%) compared to the total GME pool (45.4%; P &lt; .0001). In contrast, there was no significant trend in the rate of change per year in black or American Indian, Alaskan Native, Native Hawaiian, and Pacific Islander (AI/AN/NH/PI) resident representation (P = .04 and .02). Since 1995, underrepresented minority (URM) faculty representation has increased by 0.03% per year (95% CI, 0.024-0.036; P &lt; .01), with 7.6% URM faculty in 2018 (5.2% Hispanic, 2.2% black, 0.2% AI/AN/NH/PI). Conclusions This assessment of pathology trainee and physician workforce diversity highlights significant improvements in achieving trainee gender parity. However, there are persistent disparities in URM representation, with significant underrepresentation of URM pathologists compared with residents.

Economic Growth Potentials and Race/Ethnicity in Tennessee

2021 ◽  
pp. 1119-1142
Author(s):  
Madhuri Sharma
Keyword(s):  
Ethnic Diversity ◽  
Community Survey ◽  
Creative Class ◽  
Regression Analyses ◽  
North East ◽  
The North ◽  
Education And Health ◽  
Central Regions ◽  
Race Ethnicity ◽  
Racial Ethnic

This article establishes relationships between racial/ethnic diversity, segregation, and employment-by-industry-types in the counties of Tennessee. Using the American Community Survey and NAICS data, diversity scores, entropy indices, and location quotients for major-employment are computed for Tennessee's 95 counties. Cartographic analysis, followed by correlations, principal components and regression analyses help establish the above relationships. The north-east and west-central regions of Tennessee have concentration in primary-sectors of economy whereas counties with concentration in creative-class economy (e.g., Williamson, Davidson) have higher presence of Asians, and with greater human capital (education). Simultaneously, these are also the most segregated despite being diverse. Counties with higher diversity and higher share of African-Americans are segregated, despite having employment concentration in diverse set of industries. Enormous growth potentials exist in the sectors of education and health-care which can help Tennessee revitalize its economy.

Variation in Access to Health Care for Different Racial/Ethnic Groups by the Racial/Ethnic Composition of an Individual??s County of Residence

Medical Care ◽  
2004 ◽  
Vol 42 (7) ◽  
pp. 707-714 ◽  
Author(s):  
Jennifer S. Haas ◽  
Kathryn A. Phillips ◽  
Dean Sonneborn ◽  
Charles E. McCulloch ◽  
Laurence C. Baker ◽  
...  
Keyword(s):  
Health Care ◽  
Ethnic Groups ◽  
Access To Health Care ◽  
Ethnic Composition ◽  
Access To Health ◽  
Racial Ethnic

Impact of Ethnicity On Incidence and Survival Among Adults with Acute Lymphoblastic Leukemia in the United States; Insights From 2005 SEER Data.

Blood ◽  
2009 ◽  
Vol 114 (22) ◽  
pp. 3069-3069
Author(s):  
Casey L O'Connell ◽  
Pedram Razavi ◽  
Roberta McKean-Cowdin ◽  
Malcolm C. Pike
Keyword(s):  
T Cell ◽  
B Cell ◽  
Ethnic Groups ◽  
Lymphoblastic Leukemia ◽  
The United States ◽  
Incidence Rates ◽  
The Us ◽  
Race Ethnicity ◽  
The Impact ◽  
Racial Ethnic

Abstract Abstract 3069 Poster Board III-6 Background Acute lymphoblastic leukemia (ALL) is an aggressive malignancy whose incidence declines through adolescence and then increases steadily with age. Prognosis appears to be inversely related to age among adults. We sought to explore the impact of race/ethnicity on incidence and survival among adults with ALL in the United States (US). Methods We examined trends in incidence and survival among adults with ALL in the US using the National Cancer Institute's Surveillance, Epidemiology and End Results (SEER) program which includes data from 17 SEER registries. We calculated the incidence rates for the most recent time period (2001-2005) because the classification for ALL subtypes was more complete during this time. For the survival analysis we used the data collected between 1975 and 2005. We categorized race/ethnicity into 5 mutually exclusive categories: non-Hispanic whites (NHW), Hispanic whites (HW), African Americans (AA), Asian/Pacific Islanders (API) and American Indians/Native Alaskans (AI/NA). Hispanic ethnicity was defined using SEER's Hispanic-origin variable which is based on the NAACCR Hispanic Identification Algorithm (NHIA); 11 patients dually coded as black and Hispanic were included in the AA group for our analyses. Few ALL cases were identified among AI/NA, so that group is not represented in the final analyses. We included ALL cases coded in the SEER registry using the International Classification of Disease for Oncology (ICD-0-3) as 9827-9829 and 9835-9837. We excluded cases of Burkitt's leukemia (n=228), cases that were not confirmed by microscopic or cytologic tests (n=132), cases that were reported only based on autopsy data (n=3) and cases whose race/ethnicity were unknown (n=20). The average annual incidence rates per 100,000 for 2001-2005, age-adjusted to the 2000 US standard population were calculated using SEER*Stat Version 6.4.4 statistical software. We used multivariate Cox hazard models stratified by SEER registry and age category to estimate the hazard ratios (HR) and 95% confidence intervals (95% CI) for relative survival of adult ALL cases across race/ethnicity, sex and cell of origin (B- or T-cell). All models were adjusted for the diagnosis era, and use of non-CNS radiation. The model also included an interaction term for age and diagnosis era. We performed a separate stratified analysis of the impact of race/ethnicity on survival within age subgroups (20-29, 30-39, 40-59, 60-69, 70+). Results The highest incidence rate (IR) of ALL was observed for HW (IR: 1.60; 95% CI: 1.43-1.79). HW had a significantly higher IR across all age categories as compared to the other racial/ethnic groups, while AA had the lowest IR. In particular, the observed rate of B-cell ALL among HW (IR 0.77; 95% CI 0.69-0.87) was more than twice that of NHW (IR: 0.29; 95% CI: 0.27-0.32) and more than three times the rate observed among AA (IR: 0.20; 95% CI: 0.15-0.26). In contrast, we did not observe statistically significant variability in the rates of T-cell ALL across race/ethnic groups (overall IR: 0.12; 95% CI: 0.11-0.14). Survival was significantly poorer among AA (HR: 1.26; 95% CI: 1.09-1.46), HW (HR: 1.21; 95% CI: 1.09-1.46), and API (HR: 1.18; 95% CI: 1.06-1.32) compared to NHW with all subtypes of ALL. Among adults younger than 40 with B-cell ALL, survival was significantly poorer among AA (HR: 1.60; 95% CI:1.021-2.429) and HW (HR: 1.53; 95% CI:1.204-1.943) with a non-signficant trend among API (HR: 1.22; 95% 0.834-1.755) compared to NHW. Survival differences between the different racial/ethnic groups were no longer statistically significant among adults with B-cell ALL over the age of 40. For T-cell ALL, survival was significantly poorer among AA (HR: 1.61; 95% CI: 1.22-2.10), HW (HR: 1.49; 95% CI: 1.14-1.93) and API (HR: 1.57; 95% CI: 1.13-2.13), as compared to NHW. A similar survival pattern by age (adults above and below age 40 years) was observed for T-cell as described for B-cell, with AA under 40 having a particularly dismal prognosis (HR: 2.89; 95% CI 1.96-4.17) compared to NHW. Conclusions The incidence rate of B-cell ALL among adults in the US is higher among HW than other ethnic groups. Survival is significantly poorer among AA and HW than among NHW under the age of 40 with B-cell ALL. Survival is also significantly poorer among AA, HW and API than among NHW with T-cell ALL in adults under 40. Survival trends appear to converge after the age of 40 among all racial/ethnic groups. Disclosures No relevant conflicts of interest to declare.

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