scholarly journals Unfair Treatment, Racial/Ethnic Discrimination, Ethnic Identification, and Smoking Among Asian Americans in the National Latino and Asian American Study

2008 ◽  
Vol 98 (3) ◽  
pp. 485-492 ◽  
Author(s):  
David H. Chae ◽  
David T. Takeuchi ◽  
Elizabeth M. Barbeau ◽  
Gary G. Bennett ◽  
Jane Lindsey ◽  
...  

2007 ◽  
Author(s):  
David Takeuchi ◽  
Oanh Meyer ◽  
Nolan Zane ◽  
Stanley Sue ◽  
Manveen Dhindsa ◽  
...  


2011 ◽  
Vol 8 (1) ◽  
pp. 159-177 ◽  
Author(s):  
Salma Shariff-Marco ◽  
Nancy Breen ◽  
Hope Landrine ◽  
Bryce B. Reeve ◽  
Nancy Krieger ◽  
...  

AbstractWhile it is clear that self-reported racial/ethnic discrimination is related to illness, there are challenges in measuring self-reported discrimination or unfair treatment. In the present study, we evaluate the psychometric properties of a self-reported instrument across racial/ethnic groups in a population-based sample, and we test and interpret findings from applying two different widely-used approaches to asking about discrimination and unfair treatment. Even though we found that the subset of items we tested tap into a single underlying concept, we also found that different groups are more likely to report on different aspects of discrimination. Whether race is mentioned in the survey question affects both frequency and mean scores of reports of racial/ethnic discrimination. Our findings suggest caution to researchers when comparing studies that have used different approaches to measure racial/ethnic discrimination and allow us to suggest practical empirical guidelines for measuring and analyzing racial/ethnic discrimination. No less important, we have developed a self-reported measure of recent racial/ethnic discrimination that functions well in a range of different racial/ethnic groups and makes it possible to compare how racial/ethnic discrimination is associated with health disparities among multiple racial/ethnic groups.



2021 ◽  
Vol 9 ◽  
Author(s):  
Kris Pui Kwan Ma ◽  
Adrian Matias Bacong ◽  
Simona C. Kwon ◽  
Stella S. Yi ◽  
Lan N. Ðoàn

Structural racism manifests as an historical and continued invisibility of Asian Americans, whose experiences of disparities and diverse needs are omitted in research, data, and policy. During the pandemic, this invisibility intersects with rising anti-Asian violence and other persistent structural inequities that contribute to higher COVID-19 mortality in older Asian Americans compared to non-Hispanic whites. This perspective describes how structural inequities in social determinants of health—namely immigration, language and telehealth access, and economic conditions—lead to increased COVID-19 mortality and barriers to care among older Asian Americans. Specifically, we discuss how the historically racialized immigration system has patterned older Asian immigrant subpopulations into working in frontline essential occupations with high COVID-19 exposure. The threat of “public charge” rule has also prevented Asian immigrants from receiving eligible public assistance including COVID-19 testing and vaccination programs. We highlight the language diversity among older Asian Americans and how language access remains unaddressed in clinical and non-clinical services and creates barriers to routine and COVID-19 related care, particularly in geographic regions with small Asian American populations. We discuss the economic insecurity of older Asian immigrants and how co-residence in multigenerational homes has exposed them to greater risk of coronavirus transmission. Using an intersectionality-informed approach to address structural inequities, we recommend the disaggregation of racial/ethnic data, meaningful inclusion of older Asian Americans in research and policy, and equitable investment in community and multi-sectoral partnerships to improve health and wellbeing of older Asian Americans.



Author(s):  
Jennifer C. Lee ◽  
Alexander Lu

Asian Americans currently make up about five percent of the US population and are one of the fastest growing racial/ethnic groups in the United States. The history of Asians in the United States spans more than 200 years. The term “Asian American” covers over twenty nationality groups. It covers a wide variety of identities, languages, cultures, and experiences, yet this diversity has been masked with the assumption of homogeneity and the model minority image. Research within sociology on Asian Americans often focuses on dispelling the model minority myth through the empirical analysis of heterogeneity within the Asian American population, particularly in regard to educational and socioeconomic outcomes. Other sociological research examines contemporary stereotypes and discrimination against Asian Americans as well as the racial stratification of Asian Americans in relation to other racial/ethnic groups in the United States. However, it is important to note that Asian American Studies is an interdisciplinary field, and much sociological work is informed and influenced by multi- and interdisciplinary work. Therefore, although focused primarily on sociological works, this article will include books and articles from other disciplines that have important implications for sociological research.



2008 ◽  
Author(s):  
David Chae ◽  
David T. Takeuchi ◽  
Elizabeth M. Barbeau ◽  
Gary G. Bennett ◽  
Jane C. Lindsey ◽  
...  


2016 ◽  
pp. 1-7
Author(s):  
C. SIORDIA ◽  
Y.D. COVINGTON-WARD

Background: The field of aging studies continues to better understand between-racial-group health disparities. Previous work provides empirical evidence for a statistical relationship between perceived discrimination and adverse health across all age groups. Specific Aim: We contribute to the literature by investigating the quantitative relationship between Perceived Ethnic Discrimination (PED), Self-Rated Physical Health (SR-PH), Self-Rated Mental Health (SR-MH), and their combined score (SR-PH-MH). Setting & Design:The cross-sectional observational study used data collected between 2002 and 2004 from the National Latino and Asian American Study (n=4,559; average age=41; 54% female; 18% Mexican; 36% Non-Mexican Latinos; 12% Chinese; 31% Non-Chinese Asians). We provide descriptive statistics for those below and at or above age 65. Results: Multivariable linear models adjusting for age, sex, ethnicity, education, body mass index, and neighborhood perception provide evidence that although a small effect, PED explains between-people variance in SR-PH (β=-0.01; α=0.001), SR-MH (β=-0.03; α=0.001), and SR-PH-MH (β=-0.04; α=0.001). Conclusions: The analysis supports arguments that PED has a non-random association with health. As we continue to explore novel measures of frailty, markers of social stress should be considered.



2020 ◽  
Author(s):  
Sierra K. Ha ◽  
Ann T Nguyen ◽  
Chloe Sales ◽  
Rachel S. Chang ◽  
Hillary Ta ◽  
...  

Objectives. To investigate self-reported discrimination and concern for physical assault due to the COVID-19 pandemic among disaggregated Asian subgroups in the US. Methods. We conducted a nationwide survey to assess self-reported discrimination and concern for physical assault due to COVID-19 across racial/ethnic groups, including diverse subgroups of Asians. Results. Chinese respondents experienced the largest change (15% increase) in proportion of respondents reporting discrimination from 2019 to 2020 (P<.01). Chinese, Korean, Japanese, Vietnamese, and Other API showed up to 3.9 times increased odds of self-reported racial/ethnic discrimination due to COVID-19 and, with the addition of Filipino, experienced up to 5.4 times increased odds of concern for physical assault due to COVID-19 compared to Whites. Conclusions. Our study is the first to examine self-reported discrimination and concern for physical assault due to COVID-19 in subgroups of Asian Americans, finding that East (Chinese, Korean, Japanese) and Southeast (Vietnamese, Filipino) Asian Americans have been disproportionately affected. Future studies should disaggregate Asian subgroups to fully understand experiences of discrimination in diverse populations in the US.



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