“Eh! Where you from?”

2018 ◽  
Author(s):  
John P. Rosa
Keyword(s):  
Race And Ethnicity ◽  
Native Hawaiians ◽  
Kanaka Maoli ◽  
American Missionaries ◽  
James Cook ◽  
Sugar Plantation ◽  
Place Of Origin ◽  
Race Ethnicity ◽  
Ways Of Life

Race and ethnicity are important analytical categories in Hawai‘i, but the issue of place can at times be more important to an individual in declaring his or her social/cultural identity. Outside observers may initially assess another person visually according to race/ethnicity – but follow up questions, often in Hawai‘i Creole, frequently ask about place of origin, neighborhoods, schools attended, and other matters inherently related to place. Such questions are indirect ways to ask about how long one’s family has been in the islands and whether or not a person has a working knowledge of Hawai‘i’s Native Hawaiian and local ways of life. As a geographically isolated archipelago, Hawai‘i had limited interactions with the outside world until the arrival of Captain James Cook in 1778, American missionaries in 1820, and the immigration of sugar plantation laborers since the 1850s. This essay argues that the islands’ current population consists of four broad groups that are partially defined by race/ethnicity, but also strongly determined by matters of place and historical circumstances. Kānaka Maoli (Native Hawaiians), Haole, Locals, and Others are four groups in contemporary Hawai‘i seeking to understand their individual and collective histories and place in the islands.

Evoking Issues of Race and Ethnicity in Research on Physiology and Interpersonal Communication

2020 ◽  
pp. 260-287
Author(s):  
Shardé M. Davis
Keyword(s):  
Interpersonal Communication ◽  
Race And Ethnicity ◽  
Communication Research ◽  
Interpersonal Interactions ◽  
The Past ◽  
Race Ethnicity ◽  
Diverse Groups ◽  
Future Work ◽  
Area Of Study

Investigating the role of physiology in communication research is a burgeoning area of study that has gained considerable attention by relational scholars in the past decade. Unfortunately, very few published studies on this topic have evoked important questions about the role of race and ethnicity. Exploring issues of ethnicity and race provides a more holistic and inclusive view of interpersonal communication across diverse groups and communities. This chapter addresses the gap in literature by considering the ways in which race and ethnicity matter in work on physiology and interpersonal interactions. More specifically, this chapter will first discuss the conceptual underpinnings of race, ethnicity, and other relevant concepts and then review extant research within and beyond the field of communication on race, ethnicity, interpersonal interactions, and physiology. These discussions set the foundation for this chapter to propose new lines of research that pointedly connect these four concepts and advance key principles that scholars should consider in future work.

scholarly journals High School Quality and 56-Year All-Cause Mortality Risk Across Race and Ethnicity

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 505-506
Author(s):  
Dominika Seblova ◽  
Kelly Peters ◽  
Susan Lapham ◽  
Laura Zahodne ◽  
Tara Gruenewald ◽  
...  
Keyword(s):  
High School ◽  
Mortality Risk ◽  
Race And Ethnicity ◽  
Proportional Hazards ◽  
School Quality ◽  
Cox Proportional Hazards ◽  
School Level ◽  
Lower Mortality ◽  
All Cause Mortality ◽  
Race Ethnicity

Abstract Having more years of education is independently associated with lower mortality, but it is unclear whether other attributes of schooling matter. We examined the association of high school quality and all-cause mortality across race/ethnicity. In 1960, about 5% of US high schools participated in Project Talent (PT), which collected information about students and their schools. Over 21,000 PT respondents were followed for mortality into their eighth decade of life using the National Death Index. A school quality factor, capturing term length, class size, and teacher qualifications, was used as the main predictor. First, we estimated overall and sex-stratified Cox proportional hazards models with standard errors clustered at the school level, adjusting for age, sex, composite measure of parental socioeconomic status, and 1960 cognitive ability. Second, we added an interaction between school quality and race/ethnicity. Among this diverse cohort (60% non-Hispanic Whites, 23% non-Hispanic Blacks, 7% Hispanics, 10% classified as another race/s) there were 3,476 deaths (16.5%). School quality was highest for Hispanic respondents and lowest for non-Hispanic Blacks. Non-Hispanic Blacks also had the highest mortality risk. In the whole sample, school quality was not associated with mortality risk. However, higher school quality was associated with lower mortality among those classified as another race/s (HR 0.75, 95% CI: 0.56-0.99). For non-Hispanic Blacks and Whites, the HR point estimates were unreliable, but suggest that higher school quality is associated with increased mortality. Future work will disentangle these differences in association of school quality across race/ethnicity and examine cause-specific mortality.

scholarly journals Trends in Esophageal Cancer Mortality and Stage at Diagnosis by Race and Ethnicity in the United States

2021 ◽  
Author(s):  
Edgar Corona ◽  
Liu Yang ◽  
Eric Esrailian ◽  
Kevin A. Ghassemi ◽  
Jeffrey L. Conklin ◽  
...  
Keyword(s):  
United States ◽  
Esophageal Cancer ◽  
Race And Ethnicity ◽  
The United States ◽  
Disease Stage ◽  
Stage Migration ◽  
Stage At Diagnosis ◽  
Annual Percent Change ◽  
Seer Data ◽  
Race Ethnicity

Abstract Introduction Esophageal cancer (EC) is an aggressive malignancy with poor prognosis. Mortality and disease stage at diagnosis are important indicators of improvements in cancer prevention and control. We examined United States trends in esophageal adenocarcinoma (EAC) and esophageal squamous cell carcinoma (ESCC) mortality and stage at diagnosis by race and ethnicity. Methods We used Surveillance, Epidemiology, and End Results (SEER) data to identify individuals with histologically confirmed EAC and ESCC between 1 January 1992 and 31 December 2016. For both EAC and ESCC, we calculated age-adjusted mortality and the proportion presenting at each stage by race/ethnicity, sex, and year. We then calculated the annual percent change (APC) in each indicator by race/ethnicity and examined changes over time. Results The study included 19,257 EAC cases and 15,162 ESCC cases. EAC mortality increased significantly overall and in non-Hispanic Whites from 1993 to 2012 and from 1993 to 2010, respectively. EAC mortality continued to rise among non-Hispanic Blacks (NHB) (APC = 1.60, p = 0.01). NHB experienced the fastest decline in ESCC mortality (APC = − 4.53, p < 0.001) yet maintained the highest mortality at the end of the study period. Proportions of late stage disease increased overall by 18.5 and 24.5 percentage points for EAC and ESCC respectively; trends varied by race/ethnicity. Conclusion We found notable differences in trends in EAC and ESCC mortality and stage at diagnosis by race/ethnicity. Stage migration resulting from improvements in diagnosis and treatment may partially explain recent trends in disease stage at diagnosis. Future efforts should identify factors driving current esophageal cancer disparities.

scholarly journals Participant education, spousal education and dementia risk in a diverse cohort of members of an integrated health care delivery system in Northern California

BMJ Open ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. e040233
Author(s):  
Paola Gilsanz ◽  
Elizabeth Rose Mayeda ◽  
Chloe W Eng ◽  
Oanh L Meyer ◽  
M Maria Glymour ◽  
...  
Keyword(s):  
Care Delivery ◽  
Health Indicators ◽  
Health Care Delivery System ◽  
College Degree ◽  
Dementia Risk ◽  
Education College ◽  
Race Ethnicity ◽  
Participant Education ◽  
Spousal Education

ObjectiveThe role of spousal education on dementia risk and how it may differ by gender or race/ethnicity is unknown. This study examines the association between one’s own education separate from and in conjunction with spousal education and risk of dementia.DesignCohort.SettingKaiser Permanente Northern California (KPNC), an integrated health care delivery system.Participants8835 members of KPNC who were aged 40–55, married and reported own and spousal education in 1964–1973.Primary outcome measureDementia cases were identified through medical records from 1 January 1996 to 30 September 2017.MethodsOwn and spousal education was self-reported in 1964–1973 and each was classified as four indicator variables (≤high school, trade school/some college, college degree and postgraduate) and as ≥college degree versus <college degree. Age as timescale weighted Cox proportional hazard models adjusted for demographics and health indicators evaluated associations between participant education, spousal education and dementia risk overall and by gender and race/ethnicity.ResultsThe cohort was 37% non-white, 46% men and 30% were diagnosed with dementia during follow-up from 1996 to 2017 (mean follow-up=12.7 years). Greater participant education was associated with lower dementia risk independent of spousal education, demographics and health indicators. Greater spousal education was associated with lower dementia adjusting for demographics but became non-significant after further adjustment for participant education. The same pattern was seen for spousal education ≥college degree (not adjusting for participant education HRspousal education≥college degree=0.83 (95% CI: 0.76 to 0.90); adjusting for participant education HRspousal education≥college degree=0.92 (95% CI: 0.83 to 1.01)). These associations did not vary by gender or race/ethnicity.ConclusionIn a large diverse cohort, we found that higher levels of participant’s own education were associated with lower dementia risk regardless of spousal education. An inverse association between spousal education and dementia risk was also present, however, the effects became non-significant after adjusting for participant education.

scholarly journals Recognizing Human Races through Machine Learning—A Multi-Network, Multi-Features Study

Mathematics ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 195
Author(s):  
Adrian Sergiu Darabant ◽  
Diana Borza ◽  
Radu Danescu
Keyword(s):  
Race And Ethnicity ◽  
Large Scale ◽  
Recognition Rate ◽  
Social Signals ◽  
Image Characteristics ◽  
Race Effect ◽  
Race Ethnicity ◽  
The Impact ◽  
Facial Images ◽  
Ethnicity Classification

The human face holds a privileged position in multi-disciplinary research as it conveys much information—demographical attributes (age, race, gender, ethnicity), social signals, emotion expression, and so forth. Studies have shown that due to the distribution of ethnicity/race in training datasets, biometric algorithms suffer from “cross race effect”—their performance is better on subjects closer to the “country of origin” of the algorithm. The contributions of this paper are two-fold: (a) first, we gathered, annotated and made public a large-scale database of (over 175,000) facial images by automatically crawling the Internet for celebrities’ images belonging to various ethnicity/races, and (b) we trained and compared four state of the art convolutional neural networks on the problem of race and ethnicity classification. To the best of our knowledge, this is the largest, data-balanced, publicly-available face database annotated with race and ethnicity information. We also studied the impact of various face traits and image characteristics on the race/ethnicity deep learning classification methods and compared the obtained results with the ones extracted from psychological studies and anthropomorphic studies. Extensive tests were performed in order to determine the facial features to which the networks are sensitive to. These tests and a recognition rate of 96.64% on the problem of human race classification demonstrate the effectiveness of the proposed solution.

Race and Ethnicity in Medical Research: Requirements Meet Reality

2006 ◽  
Vol 34 (3) ◽  
pp. 520-525 ◽  
Author(s):  
Margaret A. Winker
Keyword(s):  
Socioeconomic Status ◽  
Medical Research ◽  
Socioeconomic Factors ◽  
Biomedical Research ◽  
Race And Ethnicity ◽  
Careful Consideration ◽  
Biomedical Literature ◽  
Genetics Research ◽  
Race Ethnicity ◽  
Policy And Procedure

Race and ethnicity are commonly reported variables in biomedical research, but how they were initially determined is often not described and the rationale for analyzing them is often not provided. JAMA improved the reporting of these factors by implementing a policy and procedure for doing so. However, still lacking are careful consideration of what is actually being measured when race/ethnicity is described, consistent terminology, hypothesis-driven justification for analyzing race/ethnicity, and a consistent and generalizable measurement of socioeconomic status. Furthermore, some studies continue to use race/ethnicity as a proxy for genetics. Research into appropriate measures of race/ethnicity and socioeconomic factors, as well as education of researchers regarding issues of race/ethnicity, is necessary to clarify the meaning of race/ethnicity in the biomedical literature.

Abstract TP409: Reporting of Key Demographic Characteristics in Neurological Trials Registered on ClinicalTrials.gov

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Kush Fansiwala ◽  
Lauren Southwick ◽  
Emily Goldmann ◽  
Nina S Parikh ◽  
Joy Madubuonwu ◽  
...  
Keyword(s):  
Clinical Trials ◽  
Race And Ethnicity ◽  
Neurological Diseases ◽  
Demographic Characteristics ◽  
Mandatory Reporting ◽  
Trial Participation ◽  
Limited Participation ◽  
Chi Square ◽  
Before And After ◽  
Race Ethnicity

Introduction: To increase the transparency of clinical trial information, U.S. Congress passed the Food and Drug Administration (FDA) Amendments Act of 2007, which expanded prior legislation to mandate inclusion of specific trial characteristics, such as funding source and gender demographics, in a new basic results section on ClinicalTrials.gov. Few studies have examined the extent to which key demographic characteristics such as sex and race/ethnicity are reported for neurological trials on ClinicalTrials.gov. Methods: As part of the National Initiative for Minority Involvement in Neurological Clinical Trials (NIMICT), we systematically identified neurological clinical trials on ClinicalTrials.gov (for stroke, epilepsy, Alzheimer’s Disease [AD]) and examined the proportion that reported sex, race, and ethnicity (Hispanic/Latino or not) of study participants. We used the website’s advanced search feature to evaluate demographic information reported from trials conducted between 1999 and 2015. We first calculated frequencies of trials reporting these characteristics, then assessed differences in reporting of each characteristic (yes/no) by condition (stroke, epilepsy, AD) and between trials conducted before and after the basic results section update (pre- and post-2008) using chi-square tests. Results: Our sample comprised 251,847 subjects across 393 trials (147 stroke, 127 epilepsy, 115 AD). Overall, sex was reported for nearly all trials (99.0%), while reporting of race and ethnicity was low (ethnicity: 14.0%, race: 19.8%). Reporting of these characteristics did not differ significantly across the three conditions or between periods preceding and following the FDA act. Conclusion: While ClinicalTrials.gov mandates reporting of sex, it does not require reporting of race/ethnicity, and few trials report these characteristics. This lack of information prevents understanding of neurological trial participation and how interventions might impact patients differently by race/ethnicity. Mandatory reporting of race/ethnicity would enhance transparency and increase awareness of the limited participation of racial/ethnic minorities-who suffer disproportionately from neurological diseases-in neurological trials.

Disparities in pan-cancer patients undergoing germline cancer risk assessment by self-reported race/ethnicity and ancestry.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 10508-10508
Author(s):  
Ying L Liu ◽  
Anna Maio ◽  
Yelena Kemel ◽  
Erin E. Salo-Mullen ◽  
Margaret Sheehan ◽  
...  
Keyword(s):  
Cancer Risk ◽  
Cancer Patients ◽  
Cancer Genetics ◽  
Statistical Tests ◽  
Cancer Risk Assessment ◽  
Clinical Genetics ◽  
Multiple Tumor ◽  
Race Ethnicity ◽  
Pan Cancer

10508 Background: Disparities in access to germline testing for cancer patients (pts) have been demonstrated; however, disparities in post-testing care are unknown. We sought to evaluate germline findings and subsequent genetic counseling/care in cancer pts undergoing tumor-germline sequencing to explore differences by self-reported ancestry. Methods: Pan-cancer pts were prospectively consented to tumor-normal sequencing via a custom NGS panel (MSK-IMPACT) from 1/2015-12/2019 inclusive of germline analysis up to 88 genes. Germline analysis was performed as a research non-billable test in 97.5% of cases. Referral to clinical genetics service (CGS) was recommended for all pts with a new positive (likely pathogenic/pathogenic) germline variant (PV). Ancestry was defined using self-reported Federal definitions of race/ethnicity and designations of Ashkenazi Jewish (AJ) ancestry. Pts were categorized into mutually exclusive groups: AJ, White, Non-White (Asian, Black/African American, Hispanic, Other), and unknown. All pts self-identifying as Hispanic were classified as such, regardless of race. Abstracted data on germline findings and downstream CGS follow-up were compared across groups using non-parametric statistical tests. Results: Among the 15,775 pts in this cohort (59.6% White, 15.7% AJ, 20.5% Non-White [6.9% Asian, 6.8% Black, 6.7% Hispanic, 0.1% Other], and 4.2% unknown), 2663 (17%) had a PV. AJ pts had the highest rates of PV (n = 683, 27.6%), and Non-White pts had a lower proportion of PV (n = 433, 13.6%) compared to Whites (n = 1451, 15.5%), p < 0.01, with differences mostly due to increased prevalence of moderate/low penetrance variants in White and AJ pts . These findings were consistent across multiple tumor types. Prior knowledge of the PV (424/2663, 16%) was more common in Non-White (19.9%) and AJ (19.2%) than White pts (13.4%), p < 0.01. Among 2239 pts with new PV, all were referred to CGS, and 1652 (73.8%) pts were seen. Non-White pts had lower rates of completing visits (67.7%) than White (73.7%) and AJ pts (78.8%), p < 0.01, with the lowest rates occurring in Black (63%) and Hispanic (68.1%) pts. All pts without a visit (n = 587) received a close out letter including 139 pts (6.2% of pts with new PV) who had no documentation of receipt of results in the medical record. Higher rates of non-disclosure were observed in Non-White (6.7%) compared to White (5.4%) and AJ (3.4%) pts with new PV, p = 0.032; non-disclosure did not vary by gene penetrance. There was a non-significant trend towards lower rates of cascade testing at CGS in Asian and Black pts with ongoing analysis. Conclusions: Even when traditional barriers to genetic testing were minimized, Non-White pts were less likely to receive recommended cancer genetics follow-up for subsequent cancer risk counseling, with potential implications for oncological care, cancer risk reduction, and at-risk family members.

The Steel Heard ‘Round the World: Exposing the Global Reach of Indigenous Musical Journeys with the Hawaiian Steel Guitar

Itinerario ◽  
2017 ◽  
Vol 41 (2) ◽  
pp. 253-274
Author(s):  
John W. Troutman
Keyword(s):  
New Orleans ◽  
International Markets ◽  
Native Hawaiians ◽  
Late Nineteenth Century ◽  
Commercial Music ◽  
Kanaka Maoli ◽  
Music Making ◽  
The World ◽  
Late Nineteenth ◽  
A New Technique

In the late nineteenth century, Kānaka Maoli (Native Hawaiians) physically modified guitars and created a new technique for playing them. In the years that followed, hundreds of Hawaiian troupes, engaging new entertainment circuits that crisscrossed the globe, introduced the world to their “Hawaiian steel guitar,” from Shanghai to London, Kolkata to New Orleans. While performing Hawaiianmele, or songs, with their instrument, they demonstrated new virtues for the guitar’s potential in vernacular and commercial music making in these international markets. Based upon archival research, this essay considers the careers of several Hawaiian guitarists who travelled the world in the early twentieth century, connecting local soundscapes through the proliferation of an indigenous technology.

scholarly journals EPID-16. INTEGRATION OF EHR AND CANCER REGISTRY DATA TO CONSTRUCT A PEDIATRIC NEURO-ONCOLOGY SURVIVORSHIP COHORT AND IMPROVE LONG-TERM FOLLOW-UP CARE

2020 ◽  
Vol 22 (Supplement_3) ◽  
pp. iii322-iii322
Author(s):  
David Noyd ◽  
Claire Howell ◽  
Kevin Oeffinger ◽  
Daniel Landi ◽  
Kristin Schroeder
Keyword(s):  
Cancer Registry ◽  
Late Effects ◽  
Care Delivery ◽  
Clinic Visit ◽  
Registry Data ◽  
Cancer Registry Data ◽  
Significant Difference ◽  
Race Ethnicity

Abstract BACKGROUND Pediatric neuro-oncology (PNO) survivors suffer long-term physical and neurocognitive morbidity. Comprehensive care addressing late effects of brain tumors and treatment in these patients is important. Clinical guidelines offer a framework for evaluating late effects, yet lack of extended follow-up is a significant barrier. The electronic health record (EHR) allows novel and impactful opportunities to construct, maintain, and leverage survivorship cohorts for health care delivery and as a platform for research. METHODS This survivorship cohort includes all PNO cases ≤18-years-old reported to the state-mandated cancer registry by our institution. Data mining of the EHR for exposures, demographic, and clinical data identified patients with lack of extended follow-up (&gt;1000 days since last visit). Explanatory variables included age, race/ethnicity, and language. Primary outcome included date of last clinic visit. RESULTS Between January 1, 2013 and December 31, 2018, there were 324 PNO patients reported to our institutional registry with ongoing analysis to identify the specific survivorship cohort. Thirty patients died with an overall mortality of 9.3%. Two-hundred-and-sixteen patients were seen in PNO clinic, of which 18.5%% (n=40) did not receive extended follow-up. Patients without extended follow-up were an average of 3.5 years older up (p&lt;0.01); however, there was no significant difference in preferred language (p=0.97) or race/ethnicity (p=0.57). CONCLUSION Integration of EHR and cancer registry data represents a feasible, timely, and novel approach to construct a PNO survivorship cohort to identify and re-engage patients without extended follow-up. Future applications include analysis of exposures and complications during therapy on late effects outcomes.

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