What this is
- This research examines the impact of on mental health among Asian and Pacific Islander (A/PI) adults during the COVID-19 pandemic.
- Using a national survey of 534 A/PI adults, the study assesses the relationship between and symptoms of anxiety, depression, and loneliness.
- The findings reveal that even low levels of are linked to significant mental health challenges.
Essence
- is associated with increased symptoms of anxiety, depression, and loneliness among A/PI adults during the COVID-19 pandemic. Higher frequencies of correlate with even greater mental health challenges.
Key takeaways
- 42.7% of A/PI adults reported experiencing at least once a month during the pandemic. This prevalence indicates a widespread issue affecting mental health within these communities.
- Experiencing once a month is linked to increased odds of anxiety ( = 2.60), depression ( = 2.58), and loneliness ( = 2.86). More frequent (once a week or more) shows even higher odds of these mental health symptoms.
- The study underscores the urgent need for public health interventions targeting anti-A/PI hate and addressing the mental health burden exacerbated by .
Caveats
- The study's cross-sectional design limits the ability to infer causality between and mental health symptoms. Future research should explore this relationship longitudinally.
- Small sample sizes for certain demographics may affect the stability of results. The aggregation of Asian and Pacific Islander groups could obscure unique experiences within these populations.
- The online survey method may have excluded individuals with limited internet access or English proficiency, potentially biasing the sample.
Definitions
- Discrimination: Unfair treatment of individuals based on their race, ethnicity, or other characteristics, often leading to psychological distress.
- Adjusted Odds Ratio (aOR): A statistical measure used to determine the odds of an outcome occurring in one group compared to another, adjusted for potential confounding factors.
AI simplified
Introduction
Since the start of the COVID-19 pandemic, the United States (US) has seen a dramatic rise in anti-Asian and Pacific Islander (A/PI) discrimination1,2. Within the first month of the Asian Pacific Policy and Planning Council’s public reporting center for discrimination being active, they received 1,497 reports of anti-A/PI discrimination from across the US3. Since the start of the pandemic, anti-Asian hate crimes have increased by 344% and over half of Asian adults report that anti-Asian discrimination is more frequent compared to before the pandemic1. In one nationally representative survey of US adults, 1 in 3 Asian adults reported experiencing COVID-related discrimination, and Asian adults were more likely to experience discrimination compared to Black/African American, Hawaiian/Pacific Islander, Hispanic/Latino, multiracial, and White adults, even though COVID-related discrimination was common across all racial and ethnic minoritized groups4. Furthermore, almost a third of US adults believe China or Chinese Americans are to blame for the COVID-19 pandemic5.
Experiences of discrimination can have extensive, adverse impacts on the health, including mental health, of racial and ethnic minoritized individuals2. For example, after the September 11, 2001 attacks, the US saw a rise in discrimination, hate crimes, and negative attitudes towards Muslim Americans, which resulted in increased depressive and post-traumatic stress disorder (PTSD) symptoms among Muslim Americans6–8. Worse mental health due to discrimination after the 9/11 attacks was also reported among other minoritized groups, including Latino adults and Asian Americans9,10. In fact, national emergencies and crises, such as 9/11 or the COVID-19 pandemic, likely provide opportunities for white supremacy and privileged groups to reassert hegemony over the country’s sociopolitical and ideological environment thereby facilitating the exclusion of non-White communities9.
Discrimination experiences are said to trigger stress and trauma responses that can lead to chronic mental and physical health conditions such as cardiovascular disease, PTSD, and depression1,6,11. Indeed, numerous studies predating the pandemic have linked discrimination with depression, suicidal ideation, loneliness, and psychological distress among A/PI adults1,12–14. Persistent anti-Asian rhetoric in the US news, social media, and general population, and terms such as “Kung flu,” “Chinese Virus,” and other derogatory terms toward Asian communities during the pandemic will have deleterious, far-reaching effects on A/PI mental health2,6,15. For example, witnessing anti-Asian discrimination in public or seeing images of discrimination towards Asian individuals on the news or social media has been linked to depressive and anxiety symptoms among Asian adults during the pandemic16. And although A/PI adults were less likely to report having poor mental health compared to White adults prior to the pandemic2,17–19, recent research has found higher levels of mental health symptoms compared with White adults during the pandemic2,20.
Presently, our knowledge on the impact of discrimination during the COVID-19 pandemic on A/PI mental health is still developing. Although depression, anxiety, and loneliness have been examined among A/PI individuals before, most studies have focused on specific populations (e.g. adolescents, older adults), predate the COVID-19 pandemic, did not control for pre-existing mental health conditions, or did not utilize a national sample1,6,21,22. Understanding this relationship is important given the drastic increase in discrimination faced by A/PI communities in the US, and the already high risk of mental health concerns during the pandemic. Thus, the purpose of this analysis was to examine the association between discrimination and depression, anxiety, and loneliness symptoms during the COVID-19 pandemic in a national sample of A/PI adults living in the United States. We hypothesized higher frequency of discrimination would confer higher odds of depression, anxiety, and loneliness.
Methods
Study data and population
We conducted a comprehensive 116-item online survey that was nationally distributed throughout the US, which focused on mental health during the COVID-19 pandemic. Qualtrics LLC, which uses a national survey panel to conduct online surveys, distributed ten thousand surveys to adults (≥ 18 years old) living in the US from May 13, 2021, to January 9, 2022. Upon completing the survey, participants were given a $5–10 gift card from Qualtrics. As we were interested in assessing mental health during the pandemic among African, Asian, Hispanic/Latino, and Middle Eastern immigrant individuals, this group was oversampled during recruitment. Low-income (< $25,000 annual household income) and rural adults were also oversampled.
Initial survey responses received by Qualtrics (n = 5938, 59.4% response rate) were assessed via Expert Review Fraud Detection to prevent multiple submissions and ensure data integrity. Participants were removed from the final survey sample if they completed < 80% of the survey after accounting for skip pattern items or if they took < 5 min to complete the survey. Overall, 5,413 surveys were ultimately included in the final sample. For this study, we restricted our cohort to participants who self-identified as Asian and/or Pacific Islander (n = 534, 9.9% of sample). Informed consent was obtained from all individual participants included in the study.
The research protocol for the study was reviewed by the National Institutes of Health (NIH) Institutional Review Board (IRB) and was approved on December 23, 2020 (IRB#000308) as an exempt study. The NIH Intramural Research Program IRB Human Research Protections Program Office of Human Subjects Research Protections determined that our protocol did not involve human subjects and was excluded from IRB review. The study was performed in accordance with the ethical standards as laid down in the 1964 Declaration of Helsinki and its later amendments or comparable ethical standards. The data for the study is available upon request per the new Data Management and Sharing Agreement plan.
Measures
An adapted version of the 5-item Everyday Discrimination Scale23 was used to assess for frequency of discrimination during the COVID-19 pandemic. Participants were asked, “Since the beginning of the Coronavirus/COVID-19 pandemic, how often have any of the following things happened to you? (1) You are treated with less courtesy or respect than other people; (2) You receive worse service than other people in restaurants or stores; (3) People act as though they think you are not intelligent; (4) People act as though they are afraid of you; and (5) You are threatened or assaulted”. For each scenario, participants had five answer options (Never, About once a month, About once a week, 2–3 times a week, and Daily or almost daily). Based on the responses, discrimination frequency was classified as having felt discrimination never, once a month, or once a week or more (About once a week/2–3 times a week/daily or almost daily). Participants were further asked to give the main reasons for their discrimination experiences. They could select all that apply from the following list of reasons: People think I have Coronavirus/COVID-19, Race, Ancestry or national origin, Immigration status, Gender, Age, Religion, Height, Weight, Sexual orientation, Education or income level, None of these or not applicable. The Everyday Discrimination Scale has been validated among a wide range of racial and ethnic groups, including Asian American adults23–29.
Anxiety, depression, and loneliness symptoms were assessed using the 2-item Generalized Anxiety Disorder (GAD-2)30, 2-item Patient Health Questionnaire (PHQ-2)31, and UCLA Loneliness 3-item Scale—Short form (ULS-3)32, respectively. The GAD-2 asks, “Over the last 2 weeks, how often have you been bothered by the following problems? (1) Feeling nervous, anxious, or on edge. (2) Not being able to stop or control worrying.” Respondents answered, Not at all (0), Several days (1), More than half the days (2), and Nearly every day (3) for each item. Response scores were summed, and a score of ≥ 3 indicated GAD (yes/present) and < 3 no/none33. The PHQ-2 asked, “Over the last 2 weeks, how often have you been bothered by the following problems? (1) Feeling nervous, anxious, or on edge. (2) Not being able to stop or control worrying”. Possible responses included Not at all (0), Several days (1), More than half the days (2), and Nearly every day (3) for each item. Response scores were summed, and a score of ≥ 3 indicated yes/present depression symptoms and < 3 no/none31,34. The ULS-3 asks participants, “How often do you feel that you lack companionship?”, “How often do you feel left out?”, “How often do you feel isolated from others?”. Response options included Hardly ever (1), Some of the time (2), and Often (3)32. Response scores were summed for each participant and a score of 3–5 = Not Lonely (no/none) and 6–9 = Lonely (yes/present)32. These scale cutoffs have been validated among a diverse range of populations31–38.
Other covariates were created from single questions from the questionnaire including age (18–44, 45–54, 55–64, ≥ 65 years old), country of birth (Born outside the US or Born in the US/US-born), income ($0–24,999; $25,000–34,999; $35,000–49,999; $50,000–74,999; ≥ $74,999), education (Less than high school, High school graduate, Technical or Some college, ≥ College degree), race (Asian or Pacific Islander), ethnicity (Hispanic/Latino or not Hispanic/Latino), sexual orientation (Bisexual, Else, Gay, Heterosexual, or Lesbian), gender identity (Man, Transgender and/or Non-binary, and Woman), marital status (Divorced/Separated, Married/Living with partner, Never married, Widowed), housing stability (Stable or Unstable) and employment (Employed [full or part-time] or Not employed).
Statistical analyses
Prevalence of reasons for discrimination, anxiety, depression, and loneliness symptoms, overall and by frequency of COVID-related discrimination, were estimated using descriptive statistics. Multivariable logistic regression was used to estimate the association between discrimination (once a week or more vs. never; and monthly vs. never) and depression, anxiety, and loneliness symptoms, respectively. All models adjusted for race, ethnicity, age, gender identity, sexual orientation, income, country of birth, marital status, education, employment, housing stability, and history of mental health conditions (Anxiety disorder, Depressive disorder, Other mental health diagnosis). All analyses were performed using SAS version 9.4 (SAS Inc., Cary, NC) and SUDAAN Release 11.0.1 (Research Triangle Institute: Research Triangle Park, NC).
Results
Descriptive statistics of study sample
When stratifying participants who experienced discrimination by race, no differences were found between Asian and Pacific Islander respondents. See Supplemental Table 3 and Fig. 1B. After stratifying by place of birth (born outside US and US-born), people born outside US were more likely to report the discrimination was due to race (66.9% vs. 54.1%, p = 0.04) and ancestry (30.6% vs. 18.9%, p = 0.04). See Supplemental Table 4 and Fig. 1C.
(–) Reasons for discrimination among individuals who reported experiencing discrimination during the pandemic (n = 232, 43.4%), stratified by () Discrimination frequency, () Race, and () Country of Birth. Participants were able to select more than one reason. () Reasons for discrimination stratified by discrimination frequency. () Reasons for discrimination stratified by race. () Reasons for discrimination stratified by place of birth. A C A B C A B C
(–) Adjusted association between discrimination and () anxiety, () depression, and () loneliness symptoms among Asian and Pacific Islander adults. () Adjusted association between discrimination and anxiety. () Adjusted association between discrimination and depression. () Adjusted association between discrimination and depression and loneliness. All models were adjusted for race, ethnicity, age, gender identity, sexual orientation, income, country of birth, marital status, education, employment, housing stability, and history of mental health conditions (Anxiety disorder, Depressive disorder, Other mental health diagnosis). N = 499 Asian and Pacific Islander adults. See Supplemental Tablefor the values of each aOR and 95% CI. A C A B C A B C 5
| Overall n (%)a | Discrimination frequency | P-value | |||
|---|---|---|---|---|---|
| Once a week or more n (%)b | About once a month n (%)b | Never n (%)b | |||
| Total N (%) | 534 (100) | 105 (19.3) | 127 (23.4) | 311 (57.3) | |
| Race | 0.0007 | ||||
| Asian | 499 (91.9) | 87 (17.4) | 118 (23.7) | 294 (58.9) | |
| Pacific Islander | 44 (8.1) | 18 (40.9) | 9 (20.5) | 17 (38.6) | |
| Age | < 0.0001 | ||||
| 18–44 years old | 331 (61.0) | 82 (24.8) | 89 (26.9) | 160 (48.3) | |
| 45–54 years old | 79 (14.6) | 12 (15.2) | 18 (22.8) | 49 (62.0) | |
| 55–64 years old | 62 (11.4) | 9 (14.5) | 12 (19.4) | 41 (66.1) | |
| ≥ 65 years old | 71 (13.1) | 2 (2.8) | 8 (11.3) | 61 (85.9) | |
| Gender identity | 0.57 | ||||
| Man | 177 (32.6) | 35 (19.8) | 41 (23.2) | 101 (57.1) | |
| Transgender and/or non-binary | 10 (1.8) | 4 (40.0) | 2 (20.0) | 4 (40.0) | |
| Woman | 356 (65.6) | 66 (18.5) | 84 (23.6) | 206 (57.9) | |
| Sexual orientation | < 0.0001 | ||||
| Lesbian, gay, bisexual, else | 57 (10.5) | 23 (40.4) | 12 (21.1) | 22 (38.6) | |
| Heterosexual | 486 (89.5) | 82 (16.9) | 115 (23.7) | 289 (59.5) | |
| Annual household income | 0.003 | ||||
| < $25,000 | 84 (15.5) | 21 (25.0) | 24 (28.6) | 39 (46.4) | |
| $25,000–$34,999 | 61 (11.2) | 17 (27.9) | 15 (24.6) | 29 (47.5) | |
| $35,000–$49,999 | 92 (16.9) | 24 (26.1) | 21 (22.8) | 47 (51.1) | |
| $50,000–$74,999 | 92 (18.1) | 21 (21.4) | 23 (23.5) | 54 (55.1) | |
| ≥ $75,000 | 208 (38.3) | 22 (10.6) | 44 (21.2) | 142 (68.3) | |
| Marital status | 0.01 | ||||
| Divorced/separated | 48 (8.8) | 8 (16.7) | 8 (16.7) | 32 (66.7) | |
| Married/living with partner | 343 (63.2) | 56 (16.3) | 81 (23.6) | 206 (60.1) | |
| Never married | 144 (26.5) | 40 (27.8) | 38 (26.4) | 66 (45.8) | |
| Widowed | 8 (1.5) | 1 (12.5) | 0 (0) | 7 (87.5) | |
| Education | 0.21 | ||||
| Less than high school | 25 (4.6) | 6 (24.0) | 9 (36.0) | 10 (40.0) | |
| High school graduate | 72 (13.3) | 15 (20.8) | 17 (23.6) | 40 (55.6) | |
| Technical or some college | 115 (21.2) | 29 (25.2) | 27 (23.5) | 59 (51.3) | |
| College degree or higher | 331 (61.0) | 55 (16.6) | 74 (22.4) | 202 (61.0) | |
| Employed | 306 (56.4) | 66 (21.6) | 71 (23.2) | 169 (55.2) | 0.31 |
| Place of birth | 0.0003 | ||||
| Outside of United States | 305 (56.2) | 41 (13.4) | 80 (26.2) | 184 (60.3) | |
| United States/US-born | 238 (43.8) | 64 (26.9) | 47 (19.8) | 127 (53.4) | |
| History of mental health condition1 | |||||
| Anxiety disorder | 58 (10.7) | 29 (50.0) | 12 (20.7) | 17 (29.3) | < 0.0001 |
| Depressive disorder | 42 (7.7) | 20 (47.6) | 6 (14.3) | 16 (38.1) | < 0.0001 |
| Other mental health diagnosis | 41 (7.6) | 25 (61.0) | 6 (14.6) | 10 (24.4) | < 0.0001 |
| Unstable housing | 37 (6.8) | 17 (46.0) | 9 (24.3) | 11 (29.7) | < 0.0001 |
| Asian n (%)a | Pacific Islandern (%)a | P-value | |
|---|---|---|---|
| Total N (%) | 499 (100) | 44 (100) | |
| Age | 0.6 | ||
| 18–44 years old | 302 (60.52) | 29 (65.90) | |
| 45–54 years old | 73 (14.63) | 6 (13.64) | |
| 55–64 years old | 56 (11.22) | 6 (13.64) | |
| ≥ 65 years old | 68 (13.63) | 3 (6.82) | |
| Gender identity | 0.31 | ||
| Man | 165 (33.07) | 12 (27.27) | |
| Transgender and/or non-binary | 8 (1.60) | 2 (4.55) | |
| Woman | 326 (65.33) | 30 (68.18) | |
| Sexual orientation | 0.0002 | ||
| Lesbian, gay, bisexual, else | 45 (9.02) | 12 (27.27) | |
| Heterosexual | 454 (90.98) | 32 (72.73) | |
| Annual household income | 0.15 | ||
| < $25,000 | 73 (14.63) | 11 (25.00) | |
| $25,000–$34,999 | 54 (10.82) | 7 (15.91) | |
| $35,000–$49,999 | 84 (16.83) | 8 (18.18) | |
| $50,000–$74,999 | 90 (18.04) | 8 (18.18) | |
| ≥ $75,000 | 198 (39.68) | 10 (22.72) | |
| Marital status | 0.88 | ||
| Divorced/separated | 43 (8.62) | 5 (11.36) | |
| Married/living with partner | 317 (63.53) | 26 (59.09) | |
| Never married | 132 (26.45) | 12 (27.27) | |
| Widowed | 7 (1.40) | 1 (2.27) | |
| Education | < 0.0001 | ||
| Less than high school | 21 (4.21) | 4 (9.09) | |
| High school graduate | 61 (12.22) | 11 (25.00) | |
| Technical or some college | 98 (19.64) | 17 (38.64) | |
| College degree or higher | 319 (63.93) | 12 (27.27) | |
| Employed | 0.1 | ||
| No | 223 (44.69) | 14 (31.82) | |
| Yes | 276 (55.31) | 30 (68.18) | |
| Place of birth | < 0.0001 | ||
| Outside of United States | 295 (59.12) | 10 (22.73) | |
| United States/US-born | 204 (40.88) | 34 (77.27) | |
| History of mental health condition1 | |||
| Anxiety disorder | 47 (9.42) | 11 (25.00) | 0.001 |
| Depressive disorder | 31 (6.21) | 11 (25.00) | < 0.0001 |
| Other mental health diagnosis | 32 (6.41) | 9 (20.45) | 0.0007 |
| Unstable housing | 0.06 | ||
| No | 468 (93.79) | 38 (86.36) | |
| Yes | 31 (6.21) | 6 (13.64) | |
Discussion
Using a national sample of US A/PI adults, we found that almost 50% reported experiencing discrimination, and among those who experienced discrimination, 25% reported that it was related to COVID-19. We also found that even when discrimination is experienced at relatively low frequencies (monthly), it had a substantial and detrimental impact on mental health; moreover, among individuals who experienced discrimination more frequently (once a week or more) the odds of poor mental health was even greater. Overall, this study represents one of the most recent and comprehensive assessments of the impact of discrimination on mental health in the US A/PI community during the COVID-19 pandemic.
Since the start of the pandemic, depressive symptoms among US adults and global anxiety symptoms have both tripled, and global loneliness symptoms have significantly increased39–41. These trends may be due to a multitude of reasons, including diseases-related anxiety, isolation due to quarantine and stay-at-home orders, and stress from economic and financial instability41. A/PI individuals, however, may be doubly burdened during the pandemic, experiencing fear, stress, and isolation due to not only the pandemic, but also due to anti-Asian discrimination, stigmatization, and violence2,6.
The present study found the total prevalence of discrimination among A/PI, Asian, and Pacific Islander adults to be 42.7%, 41.1%, and 61.4%, respectively. These findings are comparable with existing research. For example, a study utilizing COVID-19 Effects on the Mental and Physical Health of Asian Americans and Pacific Islanders Survey Study data found 60.7% of A/PI adults reported discrimination42. An online survey of Asian adults in Florida found 56.5% experienced discrimination during the pandemic6. Other studies report the prevalence of COVID-19-related discrimination to be 20–67% among Asian adults1,2,4,43. Among Pacific Islander adults, the prevalence of discrimination during the pandemic is estimated to be 22.8–40.5%4,42. Research prior to the pandemic show the prevalence of discrimination among Asian and Pacific Islander adults living in the US was 13–50% and 48–52%, respectively13,42. Both the present study and prior studies therefore highlight the increase in discrimination among A/PI adults and an urgent need to address this issue given discrimination’s harmful effects on mental health.
Prior research has also shown anti-Asian discrimination during the pandemic has negative effects on mental health2,43 and may have led to the Asian-White mental health gap now seen in the US2. Our findings also mirror existing research on the link between discrimination and A/PI mental health both prior to and during the pandemic1,2,16,43–46. A recent study on Asian/Asian American young adults found COVID-19-related discrimination to be significantly associated with PTSD symptoms after controlling for demographics, socioeconomic status, lifetime discrimination, and pre-existing mental health conditions1. Furthermore, an analysis of a national survey of 245 Asian/Asian American adults found discrimination during the pandemic was significantly associated with depressive symptoms as assessed using the 20-item Center for Epidemiologic Studies of Depression Scale43. Given A/PI adults report lower rates of using mental health services and discrimination has been previously associated with lower mental health service utilization among Asian adults, providing community-based, accessible, anti-racist, and culturally competent services is increasingly important2,3,12.
There are a number of limitations to consider for our study. First, our study is cross-sectional, meaning we cannot infer any directionality or causality of our findings. While we assume discrimination leads to mental health symptoms, individuals with mental health conditions experience significant barriers and stigmatization in society and report high levels of discrimination due to their mental health status, particularly those of racial and ethnic minoritized groups47–50. Second, given small sample sizes, we aggregated the Asian and Pacific Islander samples, and were unable to perform Asian and Pacific Islander analyses separately and among subgroups. Future research should aim disaggregate data and examine the link between discrimination and mental health outcomes across Asian and Pacific Islander subgroups and other intersectional identities (e.g., generational immigration status). The heterogenous experiences between these groups therefore may not be captured in our results. Additionally, the sample size for many of our cell counts were small, which may also introduce power issues that can impact the results and are likely to be unstable in adjusted models. Fourth, this was a convenience sample, which limits statistical inference, replication, and generalization of the results. Data integrity may also be a concern of convenience sampling; however we had several safeguards in place to prevent this issue. Fourth, the survey was conducted in English, thus individuals with limited English proficiency may have been underrepresented. Finally, the survey was online and individuals with limited access to the internet may not have been captured in the results.
Conclusions
Among a national sample of A/PI adults, discrimination was associated with anxiety, depression, and loneliness symptoms. Although odds of mental health symptoms increased with increased frequency of discrimination, our results highlight the deleterious impact of discrimination even at ‘low’ levels of frequency. The pandemic and discrimination will likely have far-reaching, sustained impacts on A/PI mental and physical health. As such, health practitioners need to be educated on the unique experiences of A/PI adults, prepared to effectively screen for and treat these issues, and utilize their unique positions as leaders in health and society to stand up to racism and discrimination. Interventions that both target anti-A/PI hate and disinformation and address the growing mental health burden among A/PI in the US will be essential to mitigating potential long-term, negative effects of the pandemic among A/PI communities.
Supplementary Information
Supplementary Tables.