ORIGINAL ARTICLE

Increased Self-Reported Racial/Ethnic Discrimination and Concern for Physical Assault Due to the COVID-19 Pandemic in Chinese, Vietnamese, Korean, Japanese, and Filipino Americans

Sierra K. Ha1#, Ann T. Nguyen, MS1#*, Chloe Sales2, Rachel S. Chang3, Hillary Ta2, Malathi Srinivasan, MD2,4, Sukyung Chung, PhD5, Latha Palaniappan, MD, MS2,4 and Bryant Lin, MD2,4

1Department of Biology, Stanford University, Stanford, CA; 2Stanford Center for Asian Health Research and Education, Stanford, CA; 3Vanderbilt University School of Medicine, Nashville, TN; 4Division of Primary Care and Population Health, School of Medicine, Stanford University, Palo Alto, CA; 5Quantitative Sciences Unit, Department of Medicine, Stanford University, Stanford, CA

OBJECTIVES: To investigate self-reported racial/ethnic discrimination and concern for physical assault due to the COVID-19 pandemic among disaggregated Asian subgroups in the United States.

METHODS: We conducted a nationwide survey from May 2020 to August 2020 using convenience sampling to assess self-reported racial/ethnic discrimination and concern for physical assault due to COVID-19 across racial/ethnic groups, including diverse subgroups of Asians.

RESULTS: Among the 1,861 survey responses, Chinese respondents experienced the largest change (15% increase) in proportion of respondents retrospectively reporting racial/ethnic discrimination from 2019 to 2020 (P < 0.01). Chinese, Korean, Japanese, Vietnamese, and Other API had 3.9 times increased odds of racial/ethnic discrimination based on retrospective self-report 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 with Whites.

CONCLUSIONS: Our study is the first to examine self-reported racial/ethnic discrimination and concern for physical assault due to COVID-19 in subgroups of Asian Americans, finding that East (Chinese, Korean, and Japanese) and Southeast (Vietnamese and Filipino) Asian Americans have been disproportionately affected. Future studies should disaggregate Asians to fully understand experiences of racial/ethnic discrimination in diverse populations in the United States.

Key Words: Coronavirus ◾ Racism ◾ Discrimination ◾ Violence ◾ Asian American ◾ API ◾ public health ◾ survey ◾ disaggregation

 

Citation: Journal of Asian Health. 2021;9:e202105

Copyright: © 2021 Journal of Asian Health is published for open access under the license Creative Commons CC BY-NC 4.0 License. Authors have full copyright.

Received: February 16, 2021; Accepted: May 15, 2021; Published: July 12, 2021.

Competing interests and funding: The authors have not received any funding or benefits from industry or elsewhere to conduct this study.

Correspondence to: Ann T. Nguyen. Email: anntnguyen@alumni.stanford.edu

# These authors contributed equally to this work.

The Data Supplement is available at https://www.ahajournals.org/doi/suppl/10.1161/CIRCEP.120.202105.

 

The COVID-19 pandemic has polarized America, and reports of discrimination have increased in many racial groups.13 Notably, public figures and the media have promoted racist rhetoric implicating Chinese in the pandemic, coining terms such as the ‘Chinese virus’ or ‘Kung Flu’.4,5

Several sources have reported that the popularization of these views has resulted in increased racist and xenophobic discrimination.68 Many incidents have targeted not only people of Chinese descent but also the broader population of people of any Asian descent.9 During the pandemic from March 19 to August 5, 2020, one advocacy center, STOP AAPI HATE, received reports of over 2,583 incidents of discrimination ranging from verbal harassment to physical assault against Asian Americans across the United States.6 Other experiences of Asians during the pandemic have included vandalization, being refused service, and decreased patronization of Asian-owned businesses at the start of the pandemic.6,9,10

Despite the increase in anti-Asian discriminatory incidents, few studies have examined the prevalence and effects of these experiences on Asian Americans. A recent study found that since the outbreak, Asians are twice as likely to experience discrimination compared to Whites, which was associated with significant mental distress.11 Asians are also shown to be more likely to report adverse experiences due to their race or ethnicity, with three in 10 Asian adults being subjected to racial slurs or jokes.2 However, these studies were conducted on small Asian American sample sizes (278 and 119, respectively) and aggregated Asian American and Pacific Islander ethnic subgroups. Given the heterogeneity of Asians in the United States, disaggregating this data is vital to unmask the impact of racial/ethnic discrimination on Asian American subgroups and address racial injustice in diverse populations as a matter of public health.12

We conducted a nationwide survey to examine the prevalence and severity of self-reported racial/ethnic discrimination due to the COVID-19 pandemic in the United States across Asian subgroups, Whites, Hispanics/Latinos, and Blacks. We specifically assessed self-reported race/ethnicity, participant’s place of birth, mental distress, self-reported racial/ethnic discrimination, and concern for physical assault due to COVID-19. To our knowledge, this study is the largest survey to assess the impact of COVID-19 racial/ethnic discrimination on Asian subgroups in the United States.

POPULAR SCIENTIFIC SUMMARY

METHODS

Study design

We conducted a nationwide online survey on racial/ethnic discrimination, self-reported retrospectively, using convenience sampling. The survey was distributed from May 2020 to August 2020 via Pollfish and email listservs for Asian American organizations in order to achieve an oversampling of Asian Americans.

Main measures

Survey Development: Based on prior survey instruments,11,13,14 we developed a survey matrix to explore the major domains of discrimination, including being hassled or made to feel inferior, physical violence, and mental distress specifically in relation to the COVID-19 pandemic. The survey questions were designed to include wording that had clear translations in Asian languages. Translation was performed by Interpretation and Translation Services at Stanford Health, and back translation was performed by an independent translator to ensure that exact meaning was conveyed. An initial 20-item survey was pilot tested with Stanford Medicine faculty and student interest groups. We revised the survey after feedback to 15 final items (Supplemental Materials 1), including demographics (age, gender, educational level, immigration status, and geographic location), ethnicity (White; Hispanic or Latino; Black; Asian American or Pacific Islander: Chinese, Vietnamese, Korean, Japanese, Filipino, South Asian, other Asian American or Pacific Islander (Other API); other), change in behavior due to the COVID-19 pandemic, retrospective self-reported discrimination overall (2019 and 2020), self-reported racial/ethnic discrimination due to COVID-19, physical assault due to COVID-19 (concern and actual), and mental health (Patient Health Questionnaire-4). For the purposes of categorizing ethnicity, ‘Other’ included participants who did not identify with any of the listed categories and those who self-identified as bi- or multiracial. ‘Other API’ included both participants who self-identified as another type of Asian American or Pacific Islander subgroup other than those listed on the survey and those who self-identified as two or more of the subgroups.

We assessed self-reported discrimination as being ‘hassled or made to feel inferior because of race or ethnicity’. To measure self-reported discrimination overall, participants were asked ‘Were you ever hassled or made to feel inferior because of your race or ethnicity for any reason?’ for 2019 (as a retrospective measure) and 2020. Participants answered ‘yes’, ‘no’, or ‘unsure’. To measure self-reported racial/ethnic discrimination due to COVID-19, participants were asked ‘Were you ever hassled or made to feel inferior because of your race or ethnicity as related to the COVID-19 disease?’ Participants responded ‘yes’, ‘no’, or ‘unsure’.

To measure COVID-19-related physical assault, participants were asked, ‘In the year 2020, were you ever physically assaulted due to your race or ethnicity as related to the COVID-19 disease?’. To differentiate between actual incidents of assault and concern for COVID-19-related physical assault, participants were asked, ‘In the year 2020, were you ever concerned about physical assault due to your race or ethnicity as related to the COVID-19 disease’? Both questions required participants to answer ‘yes’, ‘no’, or ‘unsure’.

The survey was implemented through Qualtrics (Provo, Utah) and Pollfish (New York City, New York).

Participants

The survey was conducted in two phases, with the survey in the second phase including an additional question on immigration status. In both phases, we recruited participants via two simultaneous approaches in order to rapidly reach a large audience while also sampling a large population of Asian American and Pacific Islanders: (1) Pollfish, a paid online survey platform with a prerecruited sample15 and (2) a Qualtrics survey link distributed via social media and email listservs identified as serving Asian American groups. For the latter, an advertising flyer explained the study and encouraged participants to respond to the survey with the provided link. The flyer and survey were made available in multiple languages, including English, Chinese (traditional), Chinese (simplified), Korean, Vietnamese, and Tagalog. Outreach for the first phase began on May 13, 2020 and concluded on July 19, 2020. The second phase of the survey included an additional question on immigration status after it was noted that the relative time participants had lived in the United States may affect their survey responses. Distribution for the second phase (via both of the approaches – Pollfish and Qualtrics) began on July 20, 2020 and concluded on August 12, 2020. After excluding 95 participants who did not answer all survey questions, a total of 1,861 responses were obtained over both phases, with 1,588 from Pollfish and 273 from Qualtrics. Pollfish participants received a small noncash incentive through the platform in exchange for a completed survey,15 whereas no incentive was provided for all other respondents who completed the Qualtrics survey. Respondents came from 50 states and the District of Columbia, with similar proportions of total state population from 2010 US Census.16

Analysis

Of the 1,861 respondents who completed the survey, 1,038 were from Phase 1 (1,004 Pollfish and 34 Qualtrics) and 823 were from Phase 2 (584 Pollfish and 239 Qualtrics). After 44 participants who listed their race/ethnicity as ‘Other’ were excluded, a total of 1,817 questionnaires were analyzed. We categorized responses to discrimination and physical assault measures as ‘yes’ or ‘no’ and ‘unsure’, and participants who answered ‘no’ or ‘unsure’ served as the reference group for those who answered ‘yes’. Less than 9% of participants responded ‘unsure’ to each variable. We examined the difference in self-reported discrimination overall before (2019) and during (2020) the pandemic across all ethnic groups, using chi-squared testing for overall difference and pairwise comparisons across racial/ethnic groups. We then used multivariate logistic regressions of self-reported racial/ethnic discrimination due to COVID-19 with the key predictor of race/ethnicity, using White as the reference group, and covariates including age, gender, education level, geographic location, self-reported discrimination overall in 2019, and survey phase. Similarly, a multivariable logistical model was used for physical assault on the same set of covariates. To take into account multiple comparisons, we considered P < 0.01 as statistically significant and reported 99% confidence intervals. Analyses were performed using RStudio (Version 1.2.5001, Boston, MA).

RESULTS

Table 1 shows the demographic profile of our respondents based on race/ethnicity, age, gender, education attainment, immigration status, and geographic region of the United States. The Asian American and Pacific Islanders were further stratified to Chinese (25%), Korean (6%), Japanese (6%), Vietnamese (9%), Filipino (14%), and South Asian (including both Indian and Pakistani – 18%). Race/ethnicity was not independent from age, gender, immigration, and education by chi- squared analysis, so these demographic variables were adjusted for in subsequent multivariate models.

 

Table 1. Participant Characteristics by Self-Reported Race/Ethnicity: United States, 2020.
White (n = 295) No. (%) Chinese (n = 333) No. (%) Korean (n = 83) No. (%) Japanese (n = 77) No. (%) Vietnamese (n = 124) No. (%) Filipino (n = 187) No. (%) South Asian (n = 241) No. (%) Other API (n = 280) No. (%) Hispanic or Latino (n = 142) No. (%) Black (n = 55) No. (%) Total (n = 1817) No. (%) P
Age <.001
18 - 24 48 (16) 98 (29) 19 (23) 6 (7) 54 (43) 16 (9) 42 (17) 107 (38) 34 (24) 8 (145) 432 (24)
25 - 34 86 (29) 76 (23) 23 (28) 13 (17) 24 (19) 39 (21) 54 (22) 72 (26) 40 (28) 12 (22) 439 (24)
35 - 44 69 (23) 81 (24) 26 (31) 18 (23) 23 (19) 75 (40) 90 (37) 71 (25) 43 (30) 21 (38) 517 (29)
45 - 54 44 (15) 41 (12) 9 (11) 19 (25) 12 (10) 43 (23) 33 (14) 17 (6) 20 (14) 8 (15) 246 (14)
Over 54 48 (16) 37 (11) 6 (7) 21 (27) 11 (9) 14 (8) 22 (9) 13 (5) 5 (4) 6 (11) 183 (10)
Female 160 (54) 193 (58) 43 (52) 36 (47) 65 (52) 132 (71) 135 (56) 155 (55) 82 (58) 20 (36) 1021 (56) <.001
Education <.001
No College 79 (27) 48 (14) 7 (8) 9 (12) 26 (21) 32 (17) 33 (14) 72 (26) 47 (33) 18 (33) 371 (20)
College or Higher 216 (73) 285 (86) 76 (92) 68 (88) 98 (79) 155 (83) 208 (86) 208 (74) 95 (67) 37 (67) 1446 (80)
Immigration* (n = 817) <.001
Born in the US 67 (97) 104 (54) 23 (55) 29 (64) 28 (64) 34 (29) 35 (27) 77 (69) 30 (94) 30 (91) 457 (56)
Moved to the US before age 18 0 (0) 45 (24) 15 (36) 8 (18) 12 (27) 24 (20) 18 (14) 13 (12) 0 (0) 3 (9) 138 (17)
Moved to the US age 18 or later 2 (3) 42 (22) 4 (9) 8 (18) 4 (9) 61 (51) 78 (60) 21 (19) 2 (6) 0 (0) 222 (27)
Region <.001
West 58 (20) 146 (44) 37 (45) 51 (66) 56 (45) 92 (49) 63 (26) 116 (41) 43 (30) 6 (11) 668 (37)
Midwest 63 (21) 28 (8) 11 (13) 7 (9) 8 (7) 26 (14) 34 (14) 40 (14) 15 (11) 10 (18) 242 (13)
Northeast 50 (17) 99 (30) 16 (19) 7 (9) 11 (9) 23 (12) 63 (26) 60 (21) 34 (24) 6 (11) 369 (20)
South 124 (42) 60 (18) 19 (23) 12 (16) 49 (40) 46 (25) 81 (34) 64 (23) 50 (35) 33 (60) 538 (30)
Note: Testing of difference was conducted using chi-square test. Percentages may not add up to 100% as percentages were rounded. *Immigration status was asked in the second phase of the survey only.

Among all respondents, Chinese respondents experienced the highest increase in retrospective, self-reported discrimination overall from 2019 to 2020 (15%, P < 0.01). The increases in Vietnamese (13%) and Other API (9%) was larger than in White (7%), but these differences were not statistically significant (Fig. 1).

Fig 1
Figure 1. Adjusted Odds Ratios of Self-Reported Racial/Ethnic Discrimination due to COVID-19 by Race/Ethnicity: United States, 2020.

Vietnamese (58%), Chinese (51%), and Other API (43%) respondents had the highest proportion of reported concern for physical assault due to COVID-19 compared with White respondents (all P < 0.001). Filipino (32%) and Korean (41%) respondents also had a higher proportion of reported concern for physical assault compared with White respondents (all P < 0.01). South Asian, Black, and Hispanic or Latino respondents did not differ from White in the proportion of concern for physical assault (Supplemental Fig. 1).

Of the Asian American subgroups, Vietnamese were most likely (46%) to self-report racial/ethnic discrimination due to COVID-19, followed by Koreans (43%), and South Asians were least likely to report incidents of perceived discrimination (12%). The proportion of self-reported racial/ethnic discrimination due to COVID-19 was the highest for Vietnamese, followed by Korean, Chinese, and Other API, all of which were greater than White (all P < 0.01). The proportion of reported incidents of perceived discrimination did not significantly differ in Japanese, Filipino, South Asian, Black, and Hispanic respondents compared with White respondents (Supplemental Fig. 1).

After adjusting for age, gender, education, prior discrimination experience, and the survey distribution phase, Chinese (Adjusted Odds Ratio [AOR] = 3.5, 99% CI = 1.9, 6.5), Korean (AOR = 3.8, 99% CI = 1.7, 8.4), Japanese (AOR = 3.1, 99% CI = 1.3, 7.5), Vietnamese (AOR = 3.9, 99% CI = 1.9, 8.0), and Other API (AOR = 2.7, 99% CI = 1.5, 5.0) respondents were more likely to self-report racial/ethnic discrimination due to COVID-19 compared with White respondents, but South Asian and Filipino respondents did not differ from White respondents in likelihood of experiencing discrimination (Fig. 1).

The results for concern for physical assault due to race/ethnicity related to the COVID-19 pandemic were similar to those of self-reported racial/ethnic discrimination due to COVID-19, such that Chinese (AOR = 4.4, 99% CI = 2.6, 7.7), Vietnamese (AOR = 5.4, 99% CI = 2.8, 10.6), Japanese (AOR = 2.3, 99% CI = 1.0, 5.3), and Other API (AOR = 2.4, 99% CI = 1.4, 4.3) respondents were more likely to experience this concern than White respondents. Additionally, Filipino (AOR = 2.2, 99% CI = 1.2, 4.1) respondents were also more likely to report concern for physical assault due to race/ethnicity related to COVID-19 than White respondents (Fig. 2). In addition to race/ethnicity, age and prior experience of discrimination (reported retrospectively) were associated with increased odds of both self-reported racial/ethnic discrimination due to COVID-19 and concern for physical assault due to COVID-19 (Supplemental Table 1). Mental distress, as measured by PHQ-4, was not higher in Asian Americans compared with Whites, despite higher self-reported racial/ethnic discrimination in Asian Americans.

Fig 2
Figure 2. Adjusted Odds Ratios of Concern for Physical Assault due to COVID-19 by Race/Ethnicity: United States, 2020.

DISCUSSION

The current study examined self-reported discrimination in Asian American subgroups during the COVID-19 pandemic. Our findings show that Chinese Americans have experienced a significant increase in overall racial/ethnic self-reported discrimination from before (2019) to during (2020) the pandemic when reported retrospectively. Chinese, Korean, Japanese, Vietnamese, Filipino, and Other API subgroups have been adversely affected by discrimination associated with rhetoric arising from the pandemic, as measured by concern for physical assault and self-reported racial/ethnic discrimination due to the COVID-19 pandemic, in comparison to Whites. Our findings are the first to disaggregate Asian subgroups and provide a national cross section of perceived discrimination, giving insight into the domains of discrimination faced especially by East (Chinese, Korean, and Japanese) and Southeast (Vietnamese and Filipino) Asians during the pandemic.

Our findings reveal that Asian Americans have been adversely affected by the COVID-19 pandemic, supporting the findings of previous studies and anecdotal evidence of anti-Asian violence, assault, and discriminatory attitudes toward these groups.2,3,6,9,11 However, certain Asian American subgroups experienced higher self-reported racial/ethnic discrimination due to COVID-19 (up to 3.9 times higher in Vietnamese Americans) compared with Whites, suggesting that the issue may be more severe than previous findings that Asian Americans as a group were two times more likely to experience COVID-19-associated discrimination during April 2020.11 Chinese, Korean, Japanese, Vietnamese, and Other API groups in the current study all experienced increased self-reported racial/ethnic discrimination due to COVID-19 than the rates previously reported for Asian Americans overall.11 Additionally, while the current study found that certain Asian American subgroups reported high concerns for physical assault (up to 46% in Vietnamese Americans), previous studies have found that only 26% of Asian Americans overall feared someone might threaten or physically attack them.2 These prior studies2,11 did not disaggregate by Asian ethnic subgroups, masking any possible differences in experiences between them. Additionally, their small samples of 119 and 278 Asian respondents compared with the current sample of 1,325 Asian American respondents could have contributed to these observed differences in effect size between studies.

The current study found that during the pandemic, East Asians, including Chinese, Korean, and Japanese, have frequently been targeted in discriminatory incidents and have expressed high levels of concern for physical assault, which can be rationalized due to the fact that these groups share more phenotypic and physical similarities with Chinese,17 who have been linked to the coronavirus outbreak. Southeast Asians in our study (Vietnamese and Filipino) were also more likely to experience discrimination and express concern for physical assault, while South Asians did not differ significantly in their responses compared to Whites. The disparities in prevalence and magnitude of these experiences among different Asian American ethnic subgroups would be expected given the heterogeneous socioeconomic and cultural characteristics and history of discrimination among Asian Americans.1820 The differences among Asian American subgroups in this study illustrate the need to disaggregate the Asian American population in order to highlight their diversity.12,21,22 Future studies should further explore this approach in order to assess the impact of the pandemic on the Asian American population.

Chinese Americans have faced increased anti-Asian xenophobia and racism because of the association of China with COVID-19.8,23 Public figures and the media have coined terms such as the ‘Chinese virus’ or ‘Kung Flu’, promoting racist rhetoric implicating the Chinese in the pandemic.4,5 The popularization of these terms and views has resulted in increased racist and xenophobic discrimination.68 The proportion of Chinese Americans experiencing any type of discrimination has increased by over 50% over the course of the pandemic. While other Asian American groups (Korean, Japanese, Vietnamese, Filipino, South Asian, and Other API) did report changes in discrimination from before (2019) to during (2020) the pandemic, with both measurements being taken retrospectively, these increases were not statistically significant, which could be attributed to the higher baseline discrimination (2019) faced by some of these groups (Korean, Vietnamese, and Other API) compared with Chinese Americans. The spread of anti- Chinese rhetoric in association with the increase in self-reported discrimination underlines the large influence that media and public figures have on the actions and attitudes of the general public toward these Asian American groups.

After adjusting for age, gender, education, prior discrimination experience, and the survey distribution phase, Vietnamese Americans were more than three times more likely to experience self-reported racial/ethnic discrimination due to COVID-19 and five times more likely to be concerned about physical assault than Whites, the highest likelihood seen amongst all Asian American subgroups in the current study. This contrasts previous findings that Vietnamese are less likely to perceive discrimination than Chinese and Korean Americans.18 Given historical conflicts and the recent increase in tension between the nations of Vietnam and China over the South China Sea,24,25 one possible reason for this observation is that Vietnamese respondents may have been especially distressed by being associated with China, which has been blamed for the coronavirus, and having to bear the same burden of discrimination as Chinese Americans. Future qualitative work in Vietnamese Americans may be necessary to fully contextualize these early findings.

While the current study presented robust evidence for the experiences of Asian Americans related to COVID-19, several limitations should be considered in the interpretation of these findings. First, our use of a novel measurement of self-reported racial/ethnic discrimination due to COVID-19 has not been validated. The survey, which was advertised and administered via online platforms including email listservs, social media, and Pollfish, limited our sample to technologically literate populations, leading to a lack of older respondents (Table 1) and relatively few respondents with limited English proficiency, despite the fact that alternative language surveys were offered. Additionally, given the cross-sectional, retrospective, and survey nature of our current study, selection, recall, and social desirability biases may have played a role in overrepresenting or underrepresenting participants experiencing discrimination. It is unclear how the retrospective nature of data collected on discrimination due to the administration of the questions in a single questionnaire may have affected the responses of participants in the current study. While the current reports of harassment of Asian Americans could make the past seem better to some participants, this could have also brought up memories of past hostilities for others, making the distant past seem worse. These racial/ethnic comparisons should be viewed with these caveats in mind.

Although this is the largest sample of COVID-19 discrimination survey data in Asian Americans published to date, each Asian subgroup displayed a relatively small sample. Future studies should strive to disaggregate Asian subgroups and achieve larger samples to further explore trends that were observed in our study. There are also numerous factors not controlled for in this study that could have contributed to participant’s self-reported discrimination, including exposure to social media and differences in shelter-in-place orders across regions.11,26

Although the current study did not show an increase in mental distress associated with self-reported racial/ethnic discrimination due to COVID-19 among Asian subgroups, previous studies have shown that Asians are less likely to report anxiety and depression because of stigma attached to mental disorders.2729 Additionally, mental distress could be due to a variety of factors associated with the COVID-19 pandemic, not limited to racial/ethnic discrimination.

Despite the fact that an increase in anxiety and depression was not shown in this study, future studies should further explore the possible implications of COVID-19 discrimination on health and wellness using instruments that are sensitive in Asian populations.30 Discrimination-related stress has important negative effects on health at both the individual and population level. By contributing to allostatic load, it may lead to poorer health outcomes, including depressive disorders and increased substance use; worse physical functioning and cardiovascular health; and increased risk of diabetes, obesity, and high cholesterol; and decreased use of formal health care services.31,32 Having a framework to understand discrimination may aid in more effective messaging and policymaking to mitigate or eliminate future discrimination.

The findings of this study illustrate the differences in discrimination experienced across diverse Asian American communities. This study confirms anecdotal evidence and builds on prior studies on Asian Americans as a group that have explored discrimination.2,9,11 Our study suggests that the anti-Chinese sentiment5,23,33 related to the COVID-19 pandemic has affected not only Chinese Americans but also a wide range of other Asian Americans, including East Asians (Japanese and Korean) and Southeast Asians (Vietnamese and Filipino). Including less affected groups (South Asians) in aggregate with these more affected groups may underestimate overall estimates of COVID-19-related discrimination among Asian Americans as a group.

Compounded with the social and health challenges that the pandemic has brought upon all Americans,26 this surge in harmful xenophobia and racism toward Asian American populations related to the COVID-19 pandemic represents a major public health issue in the United States requiring further study and intervention efforts. In order to address structural discrimination and stereotypes, including the ‘model minority’ myth, further study and intervention efforts are necessary, such as increased widespread intra- and intergroup education on the Asian experience in the United States. The increase of Asian representation in modern media, via podcasts, movies, and literature, has served as an effective way of documenting personal narratives and presenting the realities and hardships of the Asian experience.34,35,36,37 Dissemination and consumption of these various media forms will increase awareness of and validate the experiences of Asians in America. Additionally, community and policy-level action may help to establish significance and urgency to implement steps toward justice for Asian Americans. By increasing intra- and intergroup education on the Asian experience of discrimination, building rapport with policymakers and community leaders, and encouraging intentionality in daily interactions, discrimination could be eliminated, if not at least mitigated.

REFERENCES

  1. CDC. Coronavirus Disease 2019 (COVID-19). Centers for Disease Control and Prevention; 2020. Available from: https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/reducing-stigma.html [cited 5 September 2020].
  2. Pew Research Center. Many Black, Asian Americans Say They Have Experienced Discrimination Amid Coronavirus. 2020. Available from: https://www.pewsocialtrends.org/2020/07/01/many-black-and-asian-americans-say-they-have-experienced-discrimination-amid-the-covid-19-outbreak/ [cited 8 September 2020].
  3. Timberg C, Chiu A. As the Coronavirus Spreads, so Does Online Racism Targeting Asians, New Research Shows. Washington Post. 2020. Available from: http://www.washingtonpost.com/technology/2020/04/08/coronavirus-spreads-so-does-online-racism-targeting-asians-new-research-shows/ [cited 8 September 2020].
  4. Budhwani H, Sun R. Creating COVID-19 stigma by referencing the novel coronavirus as the ‘Chinese virus’ on Twitter: quantitative analysis of social media data. J Med Internet Res. 2020;22(5):e19301. doi: 10.2196/19301
  5. Remarks by President Trump in Press Briefing. The White House. July 30, 2020. Available from: https://www.whitehouse.gov/briefings-statements/remarks-president-trump-press-briefing-july-30-2020/ [cited 13 September 2020].
  6. Borja M, Jeung R, Horse Y, et al. Anti-Chinese Rhetoric Tied to Racism against Asian Americans Stop AAPI Hate Report. Asian Pacific Policy and Planning Council, Chinese for Affirmative Action; 2020. Available from: https://caasf.org/2020/06/anti-chinese-rhetoric-tied-to-racism-against-asian-americans-stop-aapi-hate-report/ [cited 7 July 2020].
  7. Reny TT, Barreto MA. Xenophobia in the time of pandemic: othering, anti-Asian attitudes, and COVID-19. Polit Groups Identities. 2020:1–24. doi: 10.1080/21565503.2020.1769693
  8. Strochlic N. America’s Long History of Scapegoating Its Asian Citizens. National Geographic. 2020. Available from: https://www.nationalgeographic.com/history/2020/09/asian-american-racism-covid/ [cited 14 September 2020]
  9. Jeung R. Incidents of Coronavirus Discrimination Stop AAPI Hate Weekly Report. Asian Pacific Policy and Planning Council, Chinese for Affirmative Action; 2020. Available from: http://www.asianpacificpolicyandplanningcouncil.org/wp-content/uploads/A3PCON_Public_Weekly_Report_3.pdf [cited 14 September 2020]
  10. Kambhampaty AP. ‘I Will Not Stand Silent’. 10 Asian Americans Reflect on Racism During the Pandemic and the Need for Equality. Time. 2020. Available from: https://time.com/5858649/racism-coronavirus/ [cited 13 September 2020]
  11. Liu Y, Finch BK, Brenneke SG, Thomas K, Le PD. Perceived discrimination and mental distress amid the COVID-19 pandemic: evidence from the understanding America study. Am J Prev Med. 2020;59(4):481–492. doi: 10.1016/j.amepre.2020.06.007
  12. Le TK, Cha L, Han H-R, Tseng W. Anti-Asian Xenophobia and Asian American COVID-19 disparities. Am J Public Health. 2020;110(9):1371–1373. doi: 10.2105/AJPH.2020.305846
  13. Sternthal MJ, Slopen N, Williams DR. Racial disparities in health. Bois Rev Soc Sci Res Race. 2011;8(1):95–113. doi: 10.1017/S1742058X11000087
  14. National Research Council. Measuring Racial Discrimination. Washington D.C.The National Academies Press; 2004.
  15. Pollfish. Survey Your Target Audience | Buy Survey Responses. Available from: www.pollfish.com/audience [cited 6 September 2020]
  16. U.S. Census Bureau. Washington D.C.: American Community Survey, 2018. Demographic and Housing Estimates.
  17. O’toole AJ, Deffenbacher KA, Valentin D, Abdi H. Structural aspects of face recognition and the other-race effect. Mem Cognit. 1994;22(2):208–224. doi: 10.3758/BF03208892
  18. Chau V, Bowie JV, Juon H-S. The association of perceived discrimination and depressive symptoms among Chinese, Korean, and Vietnamese Americans. Cultur Divers Ethnic Minor Psychol. 2018;24(3):389–399. doi: 10.1037/cdp0000183
  19. Okihiro G. The Columbia Guide to Asian American History: A Resource Guide to Asian American Literature. New York, NY: Columbia University Press; 2001.
  20. McMurtry CL, Findling MG, Casey LS, et al. Discrimination in the United States: experiences of Asian Americans. Health Serv Res. 2019;54(S2):1419–1430. doi: 10.1111/1475-6773.13225
  21. Srinivasan S, Guillermo T. Toward improved health: disaggregating Asian American and Native Hawaiian/Pacific Islander data. Am J Public Health. 2000;90(11):1731–1734. doi: 10.2105/AJPH.90.11.1731
  22. How Data Disaggregation Matters for Asian Americans and Pacific Islanders. Equitable Growth. 2016. Available from: http://www.equitablegrowth.org/how-data-disaggregation-matters-for-asian-americans-and-pacific-islanders/ [cited 14 September 2020]
  23. Nakamura D. With ‘Kung Flu’, Trump Sparks Backlash over Racist Language. The Washington Post. September 24, 2020. Available from: https://www.washingtonpost.com/politics/with-kung-flu-trump-sparks-backlash-over-racist-language--and-a-rallying-cry-for-supporters/2020/06/24/485d151e-b620-11ea-aca5-ebb63d27e1ff_story.html [cited 8 September 2020]
  24. Varley K, Leung A, Dormido H, Nguyen X, Heijmans P. Fight Over Fish Fans a New Stage of Conflict in South China Sea. Bloomberg. September 1, 2020. Available from: https://www.bloomberg.com/graphics/2020-dangerous-conditions-in-depleted-south-china-sea/?fbclid=IwAR3ZPea63-NG3RCrseruG_YJ6AG_BfU3TnCDXwCBf2RfSX7wFiQUZchmjhY [cited 7 September 2020]
  25. McLoughlin B. South China Sea Tensions on the BRINK: Vietnam Lashes Out at Build-Up of Chinese Bombers. Express. August 21, 2020. Available from: https://www.express.co.uk/news/world/1325498/south-china-sea-paracel-islands-vietnam-world-war-3 [cited 7 September 2020]
  26. Rajkumar RP. COVID-19 and mental health: a review of the existing literature. Asian J Psychiatry. 2020;52:102066. doi: 10.1016/j.ajp.2020.102066
  27. Jang Y, Chiriboga DA, Okazaki S. Attitudes toward mental health services: age-group differences in Korean American adults. Aging Ment Health. 2009;13(1):127–134. doi: 10.1080/13607860802591070
  28. Rao D, Feinglass J, Corrigan P. Racial and ethnic disparities in mental illness stigma. J Nerv Ment Dis. 2007;195(12):1020–1023. doi: 10.1097/NMD.0b013e31815c046e
  29. Chung I. Changes in the sociocultural reality of chinese immigrants: challenges and opportunities in help-seeking behaviour. Int J Soc Psychiatry. 2010;56(4):436–447. doi: 10.1177/0020764009105647
  30. Chen H, Kramer EJ, Chen T, Chung H. Engaging Asian Americans for mental health research: challenges and solutions. J Immigr Health. 2005;7(2):109–118. doi: 10.1007/s10903-005-2644-6
  31. Berger M, Sarnyai Z. ‘More than skin deep’: stress neurobiology and mental health consequences of racial discrimination. Stress. 2015;18(1):1–10. doi: 10.3109/10253890.2014.989204
  32. Gee GC, Ro A, Shariff-Marco S, Chae D. Racial discrimination and health among Asian Americans: evidence, assessment, and directions for future research. Epidemiol Rev. 2009;31:130. doi: 10.1093/epirev/mxp009
  33. President Trump Calls Coronavirus ‘Kung Flu’. BBC News. July 24, 2020. Available from: https://www.bbc.com/news/av/world-us-canada-53173436 [cited 7 September 2020]
  34. Hong CP. Minor Feelings: An Asian American Reckoning. 1st ed. London, UK: One World; 2020.
  35. Wang W. The Joy Luck Club. Burbank, CA: Buena Vista Pictures; 1993.
  36. Chung LI. Minari. Los Angeles, CA: Plan B Entertainment; 2021.
  37. Shyong F, Yamato J. Asian Enough: A New Podcast from the L.A. Times. Los Angeles Times. March 10, 2020. Available from: https://www.latimes.com/california/story/2020-03-10/asian-enough-podcast [26 May 2021].