Advancing Health Disparities Research: The Need to Include Asian American Subgroup Populations

Multiple dimensions of the quality of life among Asian American breast cancer survivors: The impact of a technology-based program

OBJECTIVE

The purpose of this study was to examine if a technology-based information and coaching/support program could improve the quality of life of Asian American breast cancer survivors and determine the factors that influenced the changes in the women's quality of life by the technology-based program.

METHODS

This was a randomized controlled trial with 199 Asian American breast cancer survivors (104 in the intervention group and 95 in the control group). Multiple instruments including the Functional Assessment of Cancer Therapy Scale-Breast Cancer (FACT-B) were used to assess background factors, disease factors, and the quality of life. The data were analyzed using intent-to-treat general linear models.

RESULTS

The FACT-B total and subscale scores of the intervention group increased from pre-test (T0) to post 3-months (T2), while those of the control group decreased. Significant interaction between time and group were found only in physical well-being (β = 0.84, p = .025) from T0 to T1 (post 1-month) and social well-being (β = 1.05, p = .006) from T0 to T2 within the mixed-effect model with AR1. The PRQ scores mediated the effect of the technology-based intervention on the Breast Cancer Subscale scores (p < .05) over one month (T0 to T1).

CONCLUSION

The technology-based program improved physical and social well-being among Asian American breast cancer survivors. Social support mediated the impact of the program on the quality of life. Future studies are needed on different dimensions of the quality of life with diverse groups of survivors. NCT02803593.

Prostate Cancer Screening Among Traditionally Underserved Populations at a Large Public Safety-Net Institution

BACKGROUND

Existing literature underscores racial and sociodemographic disparities in prostate cancer screening (PCS) in the USA.

OBJECTIVE

To evaluate whether traditional PCS disparities are evident within a health safety-net institution tailored to support traditionally underserved populations.

DESIGN

A retrospective cohort study using electronic health-record data was conducted at an urban safety-net institution.

PARTICIPANTS

Male patients aged 51-70 years with a primary care provider (PCP) visit from 2018 to 2019 were included.

MAIN MEASURES

The primary outcome was PCS, defined as receiving a Prostate Specific Antigen (PSA) blood test within the study period. Investigated patient characteristics included self-reported race and ethnicity, language, insurance, marital status, median household income, serious mental illness (SMI), substance use disorder (SUD), and family history of prostate cancer (PCa). Bivariate analyses using chi-squared tests and multivariable logistic regression analyses were performed to compare PCS rates between the groups.

KEY RESULTS

The cohort included 10,059 men, of which 40.4% had PCS. In total, 57.3% of the study population was of non-White race and 61.4% of non-North American/European ethnicity. A total of 31.2% had limited English proficiency (LEP), 17.8% had SMI, and 13.2% had SUD. In multivariable analysis of race, Black patients (OR 1.96, 95%CI 1.71-2.24, p < 0.001) and Hispanic patients (OR 1.51, 95%CI 1.3-1.76, p < 0.001) had significantly higher odds of PCS than White patients. Patients with LEP did not exhibit significantly lower screening rates than English-speaking patients (ORs 0.99-1.17).

CONCLUSIONS

Within a healthcare institution designed and implemented to meet the needs of underserved populations, traditional racial and sociodemographic disparities in PCS are not evident.

Enabling disaggregation of Asian American subgroups: a dataset of Wikidata names for disparity estimation

Decades of research and advocacy have underscored the imperative of surfacing - as the first step towards mitigating - racial disparities, including among subgroups historically bundled into aggregated categories. Recent U.S. federal regulations have required increasingly disaggregated race reporting, but major implementation barriers mean that, in practice, reported race data continues to remain inadequate. While imputation methods have enabled disparity assessments in many research and policy settings lacking reported race, the leading name algorithms cannot recover disaggregated categories, given the same lack of disaggregated data from administrative sources to inform algorithm design. Leveraging a Wikidata sample of over 300,000 individuals from six Asian countries, we extract frequencies of 25,876 first names and 18,703 surnames which can be used as proxies for U.S. name-race distributions among six major Asian subgroups: Asian Indian, Chinese, Filipino, Japanese, Korean, and Vietnamese. We show that these data, when combined with public geography-race distributions to predict subgroup membership, outperform existing deterministic name lists in key prediction settings, and enable critical Asian disparity assessments.

Breaking Barriers with Data Equity: The Essential Role of Data Disaggregation in Achieving Health Equity

Achieving health equity necessitates high-quality data to address disparities that have remained stagnant or even worsened over time despite public health interventions. Data disaggregation, the breakdown of data into detailed subcategories, is crucial in health equity research. It reveals and contextualizes hidden trends and patterns about marginalized populations and guides resource allocation and program development for specific needs in these populations. Data disaggregation underpins data equity, which uses community engagement to democratize data and develop better solutions for communities. Years of research on disaggregation show that researchers must collaborate closely with communities for adequate representation. However, despite generally positive support for this approach in health disparities research, data disaggregation faces methodological and political challenges. This review offers a framework for understanding data disaggregation in the context of data equity and highlights critical aspects of implementation, including challenges, opportunities, and recent policy and community-based efforts to address hurdles.

Discrimination, Depression, and Anxiety Among US Adults

Importance

Examining how discrimination is associated with mental health across different demographic groups can guide efforts to improve mental well-being.

Objectives

To analyze associations between discrimination and mental health and explore how these associations may vary by race and ethnicity and sex.

Design, Setting, and Participants

Cross-sectional data of 29 522 adults weighted to represent a population of 258 237 552 US adults from the 2023 US National Health Interview Survey were analyzed.

Exposures

Exposure to discrimination was measured using the Everyday Discrimination Scale, which assesses frequency of being treated with less courtesy, receiving poor service, being treated as not smart, being feared, and experiencing harassment. A summative scale and a nominal variable (none, low, and high) measured degree and levels of discrimination exposure.

Main Outcomes and Measures

Outcomes included depression (measured with the Patient Health Questionnaire-2 scale) and anxiety (measured with the Generalized Anxiety Disorder-2 scale), with scores of 3 or greater indicating positive screening results for each scale. Multinomial logistic regression analyses examined associations of interest and tests of interaction explored effect modification by race and ethnicity and sex.

Results

Among a sample of 29 522 adults weighted to represent a population of 258 237 552 US adults (mean age, 48.1 years [95% CI, 47.8-48.4 years]; 51.1% female; 17.5% Hispanic or Latino, 2.5% multiracial or other, 6.2% non-Hispanic Asian, 11.6% non-Hispanic or non-Latino Black, and 62.2% non-Hispanic or non-Latino White), each unit increase in exposure to discrimination was associated with increased odds of positive screening results for depression (odds ratio [OR], 1.15 [95% CI, 1.12-1.17]), anxiety (OR, 1.14 [95% CI, 1.12-1.16]), and both depression and anxiety (OR, 1.19 [95% CI, 1.16-1.21]). Compared with no exposure to discrimination, low and high exposure to discrimination were associated with increased odds of positive screening results for depression (low exposure: OR, 2.20 [95% CI, 1.77-2.72]; high exposure: OR, 5.39 [95% CI, 3.61-8.04]), anxiety (low exposure: OR, 1.97 [95% CI, 1.66-2.33]; high exposure: OR, 4.98 [95% CI, 3.59-6.91]), and both depression and anxiety (low exposure: OR, 2.60 [95% CI, 2.13-3.18]; high exposure: OR, 8.84 [95% CI, 6.44-12.14]). Associations between discrimination and positive screening results for depression alone (F4,607 = 3.35; P = .01) and between discrimination and positive screening results for both depression and anxiety (F4,607 = 2.80; P = .03) varied by race and ethnicity. Associations of interest did not differ by sex.

Conclusions and Relevance

Findings of this cross-sectional study suggest an association between discrimination and mental health across US adults, emphasizing the need for further evaluation and increased awareness of how these associations may vary across different demographic groups.

Cervical cancer disparities in stage at presentation for disaggregated Asian Americans, Native Hawaiians, and Pacific Islanders

BACKGROUND

Over 20 million people in the United States identified as Asian American, Native Hawaiian, or Pacific Islander in 2022. Despite the diversity of immigration histories, lived experiences, and health needs within the Asian American, Native Hawaiian, or Pacific Islander community, prior studies in cervical cancer have considered this group in aggregate.

OBJECTIVE

We sought to analyze disparities in cervical cancer stage at presentation in the United States, focusing on disaggregated Asian American, Native Hawaiian, or Pacific Islander groups.

STUDY DESIGN

Data from the United States National Cancer Database from 2004 to 2020 of 122,926 patients newly diagnosed with cervical cancer were retrospectively analyzed. Asian American, Native Hawaiian, or Pacific Islander patients were disaggregated by country of origin. Logistic regression, adjusted for clinical and sociodemographic factors, was used to calculate adjusted odds ratios. Higher adjusted odds ratios indicate an increased likelihood of metastatic versus nonmetastatic disease at diagnosis.

RESULTS

Out of 122,926 patients with cervical cancer, 5142 (4.2%) identified as Asian American, Native Hawaiian, or Pacific Islander. Compared to non-Hispanic White patients, pooled Asian American, Native Hawaiian, or Pacific Islander patients presented at lower stages of cancer (non-Hispanic White: 58.7% diagnosed local/regional, Asian American, Native Hawaiian, or Pacific Islander : 85.6% at local/regional, χ2 P<.001). The largest Asian American, Native Hawaiian, or Pacific Islander subgroups included Filipino Americans (n=1051, 20.4% of Asian American, Native Hawaiian, or Pacific Islander), Chinese Americans (n=995, 19.4%), Asian Indian/Pakistani Americans (n=711, 13.8%), Vietnamese Americans (n=627, 12.2%), and Korean Americans (n=550, 10.7%) respectively. Asian American, Native Hawaiian, or Pacific Islander disaggregation revealed that Pacific Islander American patients had higher odds of presenting with metastatic disease (adjusted odds ratio 1.58, 95% confidence interval 1.21-2.06, P=.001) relative to non-Hispanic White patients. Conversely, Chinese American (adjusted odds ratio 0.47, 95% confidence interval 0.37-0.59, P<.001), Vietnamese American (adjusted odds ratio 0.54, 95% confidence interval 0.41-0.70, P<.001), Hmong American (adjusted odds ratio 0.46, 95% confidence interval 0.22-0.97, P=.040), and Indian/Pakistani American (adjusted odds ratio 0.76, 95% confidence interval 0.61-0.94, P=.013) patients were less likely to present with metastatic disease. Compared to the largest Asian American, Native Hawaiian, or Pacific Islander group (Chinese American), 9 other subgroups were more likely to present with metastatic disease. The largest differences were observed in Pacific Islander American (adjusted odds ratio 3.44, 95% confidence interval 2.41-4.91, P<.001), Thai American (adjusted odds ratio 2.79, 95% confidence interval 1.41-5.53, P=.003), Kampuchean American (adjusted odds ratio 2.39, 95% confidence interval 1.29-4.42, P=.006), Native Hawaiian American (adjusted odds ratio 2.23, 95% confidence interval 1.37-3.63, P=.001), and Laotian American (adjusted odds ratio 2.02, 95% confidence interval 1.13-3.61, P=.017). In contrast, Vietnamese American (adjusted odds ratio 1.20, 95% confidence interval 0.85-1.71, P=.303), and Hmong American (adjusted odds ratio 1.09, 95% confidence interval 0.50-2.37, P=.828) patients did not show a statistically significant difference in presenting with metastatic disease compared to Chinese American patients.

CONCLUSION

Aggregated evaluation of the Asian American, Native Hawaiian, or Pacific Islander monolith masks disparities in outcomes for distinct populations at risk for equity gaps. This disaggregation study shows that marginalized groups within the larger Asian American, Native Hawaiian, or Pacific Islander population-including Pacific Islander American and Thai American patients-may face different exposures and larger structural barriers to cancer screening and early-stage diagnosis. A future focus on community-based disaggregated research and tailored interventions is necessary to close these gaps.

Lumbar Fusion and Decompression in American Indian, Alaskan Native, Native Hawaiian, and Pacific Islander Populations: Healthcare Disparities in Spine Surgery

INTRODUCTION

Racial disparities in surgical outcomes are well documented, yet data on American Indian/Alaskan Native (AI/AN) and Native Hawaiian/Pacific Islander (NH/PI) populations remain limited. This study examines disparities in 30-day outcomes following lumbar decompression and fusion in these underrepresented groups.

MATERIALS AND METHODS

A retrospective analysis was conducted using the American College of Surgeons National Surgical Quality Improvement Program database (2017-2020). Patients undergoing lumbar decompression and fusion were identified via current procedural terminology codes. Multivariable logistic regression models adjusted for demographic and clinical factors assessed associations between race/ethnicity and postoperative outcomes, including readmission, complications, reoperation, and non-home discharge. Adjusted odds ratios (AOR) with 95% confidence intervals (CI) were reported.

RESULTS

Among 113,340 patients, 0.38% (n=429) were AI/AN patients and 0.20% (n=229) were NH/PI patients. Compared to non-Hispanic White patients, AI/AN patients had higher odds of readmission (AOR: 1.023, 95% CI: 1.003-1.043, p=0.026) and complications (AOR: 1.030, 95% CI: 1.004-1.056, p=0.023). NH/PI patients had increased odds of readmission (AOR: 1.033, 95% CI: 1.006-1.062, p=0.018), major complications (AOR: 1.029, 95% CI: 1.007-1.051, p=0.009), and reoperation (AOR: 1.035, 95% CI: 1.014-1.057, p=0.001).

CONCLUSIONS

AI/AN and NH/PI patients face higher risks of adverse postoperative outcomes following lumbar spine surgery. Targeted interventions and increased inclusion in surgical disparities research are needed to improve equity in spine care.

Disparities in timely surgery among Asian American women with breast cancer

BACKGROUND

We investigated the likelihood of timely surgery for breast cancer patients among diverse Asian subgroups.

METHODS

We analyzed the National Cancer Database from 2010 to 2019 and included White and Asian women diagnosed with stage I-III breast cancer. Patients with multiple cancers, patients who received chemotherapy, and those diagnosed and treated at different hospitals were excluded. The primary outcome was timely surgery within 8 weeks of diagnosis. Race was the primary independent variable. Asian Americans were stratified by geography.

RESULTS

A total of 716,701 women were analyzed, with 3.5% Asians. Delayed surgery was experienced by 13.2% of women. Adjusted analysis indicated no difference in receiving timely surgery between all Asians and Whites. However, Southeast Asians were less likely to undergo timely surgery compared to Whites (OR 0.75, 95% CI 0.67-0.84).

CONCLUSIONS

Variations among Asian ethnicities emphasize the need to explore treatment patterns to address disparities in breast cancer care.

Navigating the Path to Inclusion: Understanding Barriers and Facilitators to Clinical Trial Participation Among Chinese Older Adults in the United States with Multimorbidity

CONTEXT

Older adults with multimorbidity are underrepresented in clinical trials, with enrollment of Asians particularly low.

OBJECTIVE

Understand perspectives of US Chinese older adults regarding clinical trial participation.

STUDY DESIGN AND ANALYSIS

Focus group interviews analyzed using thematic analysis.

SETTING

Community/senior centers, academic health systems in Northern and Southern California, and a nationwide registry of Asian Americans/Pacific Islanders.

POPULATION STUDIED

Mandarin- and English-speaking Chinese adults aged ≥ 65 years with multimorbidity.

OUTCOME MEASURES

Themes related to barriers and facilitators of enrollment in clinical trials of medications.

RESULTS

We conducted 12 focus groups: 7 with non-US-born and 5 with US-born Chinese older adults (n = 83 total). Mean age was 74 years (SD = 5.9), 43 (51.8%) were female, and 47 (56.6%) Mandarin-speaking. US-born participants had greater educational attainment than non-US-born participants. Participants took a mean of 6.1 prescriptions (SD = 1.5). Barriers to participation in clinical trials of medications included lack of awareness of/exposure for patients and community-based Chinese physicians, preference for natural/traditional medicine, risk aversion and safety concerns, desire for privacy, and inconvenience. Trusted influences included physicians, hospitals/health systems, Asian/Chinese community centers, and family (for non-US-born participants). Suggestions to enhance participation included using language and culturally concordant materials/personnel, educating community-based Chinese physicians about clinical trials, involving patient-trusted physicians in recruitment, promoting trials on conditions common in Chinese people or for an existing condition, and financial incentives. US-born participants expressed greater understanding and willingness to join trials. All groups attributed low clinical trial enrollment to non-US-born Chinese adults.

CONCLUSIONS

Chinese older adults perceived obstacles to clinical trial participation that could be mitigated by involving trusted physicians in recruitment, using language and culturally concordant materials/staff, and educating patients and community-based physicians. Recognition of differences in attitudes among US- and non-US-born Chinese people may be important to tailoring recruitment strategies.

Examining Health Insurance and Non-Medical Challenges Among Vietnamese Americans in Texas During the COVID-19 Pandemic

When COVID-19 data on Asian Americans are available, they are frequently aggregated, concealing community-specific concerns. Consequently, there is limited COVID-19 literature on Vietnamese Americans. In this study, we investigated the association between health insurance coverage and non-medical challenges during the COVID-19 pandemic, in Vietnamese Americans in Texas. The NIH Community Engagement Alliance (CEAL) Common Survey 2 was administered electronically in English and Vietnamese and contained 23 questions about non-medical drivers of health, COVID-19 vaccination, and research participation. Vietnamese American adults in Texas were recruited between September 2021 and March 2022 via partnerships with community organizations. Responses were compared and analyzed using logistic regression. Of 217 respondents, 23 (11%) were uninsured. Of the uninsured participants, 43% lost health insurance coverage during the COVID-19 pandemic. Uninsured individuals had significantly higher odds of experiencing non-medical challenges, including obtaining housing (OR = 6.10, p < 0.001), food (OR = 6.41, p < 0.001), and medications (OR = 3.45, p < 0.05) than insured individuals. Uninsured individuals had a significantly longer time-lapse since seeing a healthcare provider (ordinal OR = 0.20, p < 0.05) than insured individuals. Thus, lack of insurance is strongly associated with non-medical challenges during the COVID-19 pandemic among Vietnamese Americans in Texas. Disaggregating data can address non-medical drivers of health, advancing equity for marginalized communities.

Association Between Sleep Duration and Cardiovascular Disease Among Asian Americans

BACKGROUND

Cardiovascular disease (CVD) prevalence varies widely among Asian American adults. The American Heart Association added healthy sleep to its metrics to define ideal cardiovascular health. Little is known about the association between sleep and CVD prevalence among Asian subgroups. We aim to examine the association between suboptimal sleep duration and CVD risk prevalence among Asian American subgroups.

METHODS AND RESULTS

We used 2012 to 2018 National Health Interview Survey data to examine the association between suboptimal sleep duration and CVD prevalence. We included 6868 self-identifying Asian adults age >40 years (Asian Indian [n=1053], Chinese [n=1415], Filipino [n=1734], and Other Asian [n=2666] adults). Suboptimal sleep was defined as <7 or >9 hours per night. CVD was defined as self-reported stroke, heart attack, coronary artery disease, or angina. Logistic regression was used to calculate odds ratios and 95% CI to estimate the association between suboptimal sleep duration and CVD prevalence. Filipino and Other Asian participants with suboptimal sleep had the highest prevalence of CVD. Aggregated Asian American participants with suboptimal sleep duration had a higher prevalence of CVD (odds ratio [95% CI, 1.35 [1.09-1.68]) compared with those with optimal sleep duration. After stratification by race or ethnicity or both, a significant association persisted for Other Asian participants (1.77 [95% CI, 1.27-2.46]) but not among all other Asian American subgroups.

CONCLUSIONS

Our study highlights the heterogeneity of CVD prevalence associated with suboptimal sleep duration among Asian American adults. Future studies should consider how different measures of sleep duration and quality affect CVD outcomes among disaggregated Asian American subgroups.

How Do Scholars Conceptualize and Conduct Health and Digital Health Literacy Research? Survey of Federally Funded Scholars

BACKGROUND

The concept of health literacy (HL) is constantly evolving, and social determinants of health (SDoH) have been receiving considerable attention in public health scholarship. Since a 1-size-fits-all approach for HL fails to account for multiple contextual factors and as a result poses challenges in improving literacy levels, there is a need to develop a deeper understanding of the current state of HL and digital health literacy (DHL) research.

OBJECTIVE

This study examined scholars' conceptualization and scope of work focused on HL and DHL.

METHODS

Using a search string, investigators (N=2042) focusing on HL, DHL, or both were identified from the grantee websites of the National Institutes of Health RePORTER (RePORT Expenditures and Results) and the Canadian Institutes of Health Research. The investigators were emailed a survey via Qualtrics. Survey questions examined the focus of work; whether the investigators studied HL/DHL in combination with other SDoH; the frameworks, definitions, and approaches used; and research settings. We analyzed survey data using SPSS Statistics version 28 and descriptive analysis, including frequencies and percentages, was conducted. Chi-square tests were performed to explore the association between the focus of work, settings, and age groups included in the investigators' research.

RESULTS

A total of 193 (9.5%) of 2042 investigators responded to the online survey. Most investigators (76/153, 49.7%) were from public health, 83/193 (43%) reported their research focused on HL alone, 46/193 (23.8%) mentioned DHL, and 64/193 (33.2%) mentioned both. The majority (133/153, 86.9%) studied HL/DHL in combination with other SDoH, 106/135 (78.5%) conducted HL/DHL work in a community setting, and 100/156 (64.1%) reported not using any specific definition to guide their work. Digital tools (89/135, 65.9%), plain-language materials (82/135, 60.7%), and visual guides (56/135, 41.5%) were the top 3 approaches used. Most worked with adults (131/139, 94.2%) and all races and ethnicities (47/121, 38.8%).

CONCLUSIONS

HL and DHL research largely considered SDoH. Multiple HL tools and approaches were used that support the examination and improvement of literacy and communication surrounding health care issues.

Intersectionality of sex and race in COVID-19 mortality and vaccination inequities in Massachusetts

BACKGROUND

Inequities in COVID-19 incidence, morbidity, and mortality between racial and ethnic groups in the United States (U.S.) have been documented since the start of the pandemic in early 2020. Similarly, disparities by sex for COVID-19 morbidity and mortality have emerged, with men dying at a higher rate than women. Little research has been done to understand how the intersection of sex and race impacts COVID-19 inequities in Massachusetts (MA). This cross-sectional study examined how COVID-19 mortality rates (February 2020- May 2023) and vaccination rates (December 2020-February 2023) varied by sex across racial groups in MA.

METHODS

Using Massachusetts Department of Public Health data of all COVID-19 mortality cases and primary series vaccinations in MA from 2020 to 2023, we calculated both age-specific and age-adjusted COVID-19 mortality rates in order to account for differences in age distributions across sex-race groups.

RESULTS

Overall, men across all age-race groups consistently had a higher mortality rate compared to their female counterparts. The age-standardized mortality rate difference between White men and White women is the smallest, with the rate for White men being 1.3 times higher than White women. The age-standardized mortality rate between Hispanic men and Hispanic women varies the largest, with the rate for Hispanic men being 1.7 times higher than Hispanic women. Notably, Black women and White women have similar vaccination rates, yet the age-standardized mortality rate for Black women is 1.4 times the rate of White women.

CONCLUSIONS

Our findings show that there are disparities at the intersection of sex and race for COVID-19 mortality and vaccination in MA. This highlights the importance for targeted COVID-19 interventions at the intersection of sex and race and the need for detailed COVID-19 reporting by sex within race groups.

Exploring Racial/Ethnic Disparities in Substance Dependence and Serious Psychological Distress among US Veterans

OBJECTIVES

There are substantial racial/ethnic disparities in substance use and mental health among civilian populations, but few studies have examined these disparities in veterans using a nationally representative sample. Thus, we examined differences in substance dependence and serious psychological distress (SPD) by race/ethnicity among a national sample of US veterans.

METHODS

We pooled cross-sectional data from the 2015-2019 waves of the National Survey on Drug Use and Health (N = 7,653 veterans aged 18-64 years). Regression models were utilized to examine racial/ethnic differences in DSM-IV substance dependence and SPD with a Benjamini-Hochberg correction applied.

RESULTS

Compared to non-Hispanic White veterans: American Indian/Alaska Native veterans had significantly higher odds of past-year alcohol dependence (AOR = 2.55, 95% CI: 1.28, 5.08); Asian American veterans had significantly lower odds of past-year alcohol dependence (AOR = 0.12, 95% CI: 0.02, 0.62); non-Hispanic Black (AOR = 0.60, 95% CI: 0.48, 0.77), Hispanic (AOR = 0.47, 95% CI: 0.34, 0.65), and veterans of more than one race (AOR = 0.55, 95% CI: 0.36, 0.83) had significantly lower odds of past-month nicotine dependence; Asian American veterans had significantly lower odds of past-year illicit drug dependence (AOR = 0.05, 95% CI: 0.01, 0.35); and non-Hispanic Black veterans had significantly lower odds of past-year SPD (AOR = 0.69, 95% CI: 0.55, 0.85) after correction for multiple comparisons.

CONCLUSION

Overall, racial/ethnic disparities in substance dependence and SPD among veterans are not as stark as in civilian populations, but some disparities remain.

HIV-related knowledge, risk perception, and minority stressors among South Asian sexual minority men in the United States

BACKGROUND

South Asian gay, bisexual, and other men who have sex with men (GBM) in the United States have been persistently overlooked in HIV research and programming. To address this limitation, this article describes their HIV-related knowledge, risk perception, and minority stressors, with a focus on identifying variations between American-born individuals and immigrants.

METHODS

Participants were recruited from April-July 2022 through social media advertising and peer referral and surveyed about their sociodemographic and HIV-related behavioral characteristics. Previously validated scales were used to assess their HIV-related knowledge, risk perception, disclosure of sexual identity, experienced homophobia, and perceived racism within the sexual and gender minority community. Mann-Whitney-Wilcoxon tests were conducted to compare those born in the United States and those born abroad.

RESULTS

Of the 112 participants, 26 (23.21%) were American-born individuals and 86 (76.79%) were immigrants. Despite similar levels of sexual risk behaviors, such as having multiple male sex partners, engaging in condomless anal sex, and using alcohol or drugs immediately before or during sex, immigrants had lower levels of HIV-related knowledge (p = .0480) and risk perception (p = .0114) compared to American-born individuals. Immigrants were also less likely to have disclosed their sexual identity to family, friends, and society compared to American-born individuals (p = .0004). No differences were identified with respect to experiences of homophobia (p = .2303) or perceptions of racism (p = .4011).

CONCLUSION

Comprehensive HIV prevention efforts that address the social and cultural norms of South Asian GBM in the United States are needed.

The Differential Experience of COVID-19 on Asian American Subgroups: The Los Angeles Pandemic Surveillance Cohort Study

Data from Asian Americans (AsA) are commonly aggregated in research studies and reporting, obscuring the significant differences across AsA subgroups. We investigated the differential experience of AsA subgroups in COVID-19 testing, vaccination, engagement in risky and protective behaviors and mental health status against this infectious disease. We surveyed a representative sample of the Los Angeles County population (N = 5500) in April 2021 as part of the Los Angeles Pandemic Surveillance Cohort Study and focused on participants who self-identified as AsA (N = 756). There were significant differences across the AsA subgroups, with Koreans, Asian Indians, and Other Asians living in areas with higher COVID-19 mortality rates, and Asian Indians demonstrating the lowest proportion of COVID-19 vaccination. Vietnamese and Koreans had a higher proportion of becoming unemployed during the pandemic. Although the AsA sample on average demonstrated better outcomes than other racial and ethnic groups, the apparent advantages were heterogenous and due to specific subgroups of AsAs rather than AsAs as a whole. The observed differences in COVID-19 measures across AsA subgroups underscore the need to disaggregate AsA data to identify and reduce existing disparities.

A validation study for measuring Asian- and Hispanic-serving sociocultural institutions in neighborhoods using business listing data and potential implications for health

Ethnic enclaves influence the health of Asian American and Hispanic or Latinx/a/o populations, likely via neighborhood social, economic, and built environments. To facilitate studies aiming to disentangle these specific neighborhood mechanisms, we describe the creation and validation of two novel measures-Asian-serving and Hispanic-serving sociocultural institutions (SCIs)-to estimate the social, cultural, and economic character of ethnic enclaves in California. Business listing data were used to identify SCIs or businesses that promote cultural and social identity, including arts, civic, historical, religious, social service, and membership organizations. Keyword searches of business names were used to identify potential Asian- or Hispanic-serving SCIs. An online audit of 1,627 businesses within 12 cities confirmed the validity of using keyword searches to assess whether census tracts were high or low in Asian- or Hispanic-serving SCIs (sensitivity: 63%-100%, specificity: 86%-95%; positive predictive value: 63%-89%). In exploratory regression analyses, high presence of SCIs (compared to low presence) may be associated with neighborhood-level health indicators, including greater percentages of residents who had an annual checkup in majority Asian census tracts and lower percentages of residents who were current smokers in majority Asian and Hispanic census tracts. This approach advances methodology in measurement of neighborhood sociocultural environments.

Nutrition and diet in the general U.S. Asian American population: A scoping review protocol

INTRODUCTION

Asian American populations face unique structural/social inequities contributing to poor diet quality and health disparities. The current body of literature on diet and food consumption of Asian Americans mainly focuses on the health of Filipino and East Asian Americans, or those with pre-existing non-communicable diseases.

OBJECTIVE

The aim of this review is to comprehensively compile all available literature on nutrition and dietary consumption among the general population in Asian American ethnic subgroups, highlight any disparities and research gaps, and suggest further research action.

METHODS

With guidance from a research librarian, we enumerated and searched key terms related to diet, food, nutrition, and Asian Americans in PubMed/MEDLINE, Food Science Collection (CABI Digital Library), CINAHL (EBSCO), Scopus, Food Science and Technology Abstracts (Web of Science), and Biological & Agricultural Index Plus (EBSCO) in accordance with PRISMA-S guidelines. An article will be included if it was published in the English language; is a peer-reviewed research manuscript or published in grey literature from 2000 to present; and describes what food groups and macronutrients healthy non-institutionalized Asian Americans in the U.S. are eating. An article will be excluded if it contains only research conducted outside of the U.S.; combines Asian Americans with Native Hawaiian and Pacific Islanders; and had no explicit focus on Asian American nutrition and dietary consumption. Two or more reviewers will participate in the study screening and selection process. We will record article characteristics, diet outcomes, and recommendations from final included articles using a data extraction table and prepare a summary narrative with key findings.

EXPECTED OUTPUTS

Results will be disseminated through a peer-reviewed manuscript. The findings from this review can have broad implications for designing and implementing nutrition-focused initiatives that will appropriately reflect and address the needs as well as norms and values of each distinct Asian American ethnic subgroup.

Ethical and Policy Implications of Racial and Ethnic Healthcare Disparities in Sleep Health

Despite efforts in recent years, including in policy and research, to address health disparities in the United States, many of those disparities continue to fester in marginalized racial/ethnic populations. Understanding sleep health disparities is critical in understanding the health and wellness of these groups. Using obstructive sleep apnea (OSA) in Black populations as a focus, this paper presents the role of race and ethnicity in the clinical understanding of sleep health-related issues by medical practitioners and the implications of the lack of clear policies or best practices to guide medical practitioners' attempts to meet sleep-related needs of marginalized racial/ethnic populations. Furthermore, the knowledge gap may be further complicated by the poor understanding and integration of existing evidence with the many, complex, sleep-associated co-morbidities. Policymaking in this area ought to be based on the ethical implications of disparate sleep-related health outcomes by race and ethnicity. So, we conclude by offering recommendations for developing ethically sound policies for addressing sleep problems in marginalized racial and ethnic populations.

Exploring Disparities in Pancreatic Ductal Adenocarcinoma Outcomes among Asian and Pacific Islander Subgroups

Pancreatic ductal adenocarcinoma (PDAC) is a challenging malignancy with known disparities in outcomes across ethnicities. Studies specifically investigating PDAC in Asian populations are sparse, overlooking the rich diversity within this group. This research seeks to fill that gap by examining survival differences across the broad spectrum of Asian ethnicities, acknowledging the complexity and varied experiences within these communities. Utilizing the National Cancer Database from 2004 to 2019, we categorized patients into East Asian, Southeast Asian, South Asian, and Pacific Islander groups. Non-Asians or Pacific Islanders were excluded. Overall survival was analyzed using a Cox hazards model. The study consisted of 13,254 patients. Most patients were East Asian (59.4%, n = 7,866). Southeast Asians exhibited the poorest survival in unadjusted analysis (HR, 1.32; 95% confidence interval, 1.23-1.42; P < 0.001) compared with South Asians who exhibited the best survival. Multivariable analysis revealed significantly worse survival for East Asians and Pacific Islanders relative to South Asians, whereas Southeast Asians' results were not significantly different. Asian subgroup differences notably affect PDAC outcomes. Research on genetic and cultural aspects, especially in Southeast Asians, and tackling health disparities are crucial for enhancing survival in this diverse disease.

SIGNIFICANCE

This study highlights the significant survival disparities among Asian subgroups with pancreatic cancer, utilizing a large national database. By differentiating among East Asian, Southeast Asian, South Asian, and Pacific Islander groups, it underscores the need for tailored research and healthcare approaches. Addressing these differences is essential for developing culturally sensitive interventions and potentially improving outcomes in a disease that uniquely affects these diverse populations.

Opioid use, prescribing and fatal overdose patterns among racial/ethnic minorities in the United States: A scoping review and conceptual risk environment model

ISSUES

To date, there has been no synthesis of research addressing the scale and nuances of the opioid epidemic in racial/ethnic minority populations in the United States that considers the independent and joint impacts of dynamics such as structural disadvantage, provider bias, health literacy, cultural norms and various other risk factors.

APPROACH

Using the "risk environment" framework, we conducted a scoping review on PubMed, Embase and Google Scholar of peer-reviewed literature and governmental reports published between January 2000 and February 2024 on the nature and scale of opioid use, opioid prescribing patterns, and fatal overdoses among racial/ethnic minorities in the United States, while also examining macro, meso and individual-level risk factors.

KEY FINDINGS

Results from this review illuminate a growing, but fragmented, literature lacking standardisation in racial/ethnic classification and case reporting, specifically in regards to Indigenous and Asian subpopulations. This literature broadly illustrates racial/ethnic minorities' increasing nonmedical use of opioids, heightened burdens of fatal overdoses, specifically in relation to polydrug use and synthetic opioids, with notable elevations among Black/Latino subgroups, in addition uneven opioid prescribing patterns. Moreover, the literature implicates a variety of unique risk environments corresponding to dynamics such as residential segregation, provider bias, overpolicing, acculturative stress, patient distrust, and limited access to mental health care services and drug treatment resources, including medications for opioid use disorder.

IMPLICATIONS

There has been a lack of rigorous, targeted study on racial/ethnic minorities who use opioids, but evidence highlights burgeoning increases in usage, especially polydrug/synthetic opioid use, and disparities in prescriptions and fatal overdose risk-phenomena tied to multi-level forms of entrenched disenfranchisement.

CONCLUSION

There is a need for further research on the complex, overlapping risk environments of racial/ethnic minorities who use opioids, including deeper inclusion of Indigenous and Asian individuals, and efforts to generate greater methodological synergies in population classification and reporting guidelines.

Turning the Health Equity Lens to Diversity in Asian American Health Profiles

The monolithic misrepresentation of Asian American (AsAm) populations has maintained assumptions that AsAm people are not burdened by health disparities and social and economic inequities. However, the story is more nuanced. We critically review AsAm health research to present knowledge of AsAm health profiles from the past two decades and present findings and opportunities across three topical domains: (a) general descriptive knowledge, (b) factors affecting health care uptake, and (c) effective interventions. Much of the literature emphasized underutilization of health care services; low knowledge and awareness among AsAms about health-related risk factors, prevention, diagnosis, and treatment; inadequate efforts by health systems to improve language access, provider-patient communication, and trust; and the critical roles of community- and faith-based organizations and leaders in health promotion initiatives. Future opportunities for AsAm health research will require adoption of and significant investment in community-engaged research infrastructure to increase representation, funding, and research innovation for AsAm communities.

Guiding Principles for Writing About Immigrants and Immigrant Health

This perspective identifies harmful phrasing and frames in current clinician and researcher work relating to immigrant health and provides equity-centered alternatives. Recommendations are organized within two broad categories, one focused on shifting terminology toward more humanizing language and the second focused on changing frames around immigration discourse. With regards to shifting terminology, this includes: 1) avoiding language that conflates immigrants with criminality (i.e., "illegal"); 2) using person-first language (i.e., "person applying for asylum" or "detained person" rather than "asylum-seeker" or "detainee"); 3) avoiding comparisons to "native" populations to mean non-foreign-born populations, as this contributes to the erasure of Native Americans and indigenous people; 4) avoiding hyperbolic and stigmatizing "crisis" language about immigrants; and 5) understanding inherent limitations of terms like "refugee," "asylum seeker," "undocumented" that are legal not clinical terms. With regards to challenging dominant frames, recommendations include: 6) avoiding problematization of certain borders compared to others (i.e., U.S.-Mexico versus U.S.- Canada border) that contributes to selectively subjecting people to heightened surveillance; 7) recognizing the heterogeneity among immigrants, such as varying reasons for migration along a continuum of agency, ranging from voluntary to involuntary; 8) avoiding setting up a refugee vs. migrant dichotomy, such that only the former is worthy of sympathy; and 9) representing mistrust among immigrants as justified, instead shifting focus to clinicians, researchers, and healthcare systems who must build or rebuild trustworthiness. Ensuring inclusive and humanizing language use and frames is one critical dimension of striving for immigrant health equity.

The implications of data aggregation on propagating racial and ethnic disparities within the health care landscape: Actionable recommendations and considerations for pharmacists

As the U.S. population becomes more racially and ethnically diverse, it is increasingly important to characterize health inequities for targeted intervention. As it stands, demographic data regarding race and ethnicity for patients and pharmacy trainees alike are aggregated into heterogenous population groups, resulting in findings that may inaccurately reflect the experiences of smaller subgroups. Disaggregation of patient outcomes data can serve to better inform public health interventions for the most vulnerable populations. In pharmacy, disaggregation can allow for better identification of racial and ethnic subgroups who have been traditionally excluded from funding support among other opportunities. In this commentary, we provide historical context and actionable recommendations to better describe our patient and pharmacy trainee populations, with the objectives of improving pharmacist representation and health equity.

Mental health burdens among North American Asian adults living with chronic conditions: a systematic review

Asians are likely to experience a high burden of chronic conditions, including, but not limited to, diabetes, cardiovascular disease, and cancer, due to differences in biologic, genetic, and environmental factors across Asian ethnic groups. A diagnosis of any chronic condition can contribute to increased mental health burdens, including depression, psychological distress, and posttraumatic stress disorder (PTSD). However, few studies have examined these comorbid conditions across distinct Asian ethnic groups-an important limitation given the differences in social, cultural, and behavioral drivers of mental health burdens within and across Asian ethnicities. To understand the disparities in mental health burdens among Asians living with a chronic health condition, we conducted a systematic literature review of relevant, peer-reviewed publication databases to identify studies reporting on mental health burdens (e.g., depression, anxiety, distress, PTSD) in distinct Asian ethnic groups in North America. Thirteen studies met the inclusion criteria for this review and collectively demonstrated a high burden of depression, psychological distress, and PTSD among Asians living with chronic conditions. Moreover, there were distinct disparities in mental health burdens across chronic conditions and across Asian ethnic groups. Despite the detrimental impact of poor mental health on chronic disease-specific outcomes, such as death and poor quality of life, few data exist that characterize mental health outcomes among Asian ethnicities living in North America with chronic conditions. Future work should prioritize estimating the national prevalence of mental health outcomes among adults with chronic conditions, by Asian ethnicities, to inform culturally tailored interventions to address this public health burden.

Advocating for language equity: a community-public health partnership

In the United States, 21.5% of individuals aged 5 or older speak a language other than English at home and 8.2% have Limited English Proficiency (LEP). LEP individuals experience healthcare disparities, including lower access to healthcare services, poorer health outcomes, and higher levels of uninsurance. The COVID-19 pandemic highlighted and exacerbated these health disparities and unmet healthcare needs. In Alameda County (CA), where 46% of foreign-born residents speak a language other than English at home, community-based organizations have been crucial in providing translated materials and one-on-one support to ensure LEP residents receive critical COVID-19 updates and services. Refugee and Immigrant Collaborative for Empowerment (RICE) is a multilingual coalition of seven Alameda County community-based organizations led by the Korean Community Center of the East Bay (KCCEB). During the COVID-19 pandemic, RICE expanded its public health role to fill service and information gaps, advocate on behalf of LEP groups, and build a linguistically and culturally responsive public health safety network. This community case study describes a three-part advocacy-focused intervention that RICE undertook from September 2021 to October 2022. It included (1) a community needs survey, (2) a landscape assessment of the Alameda County Health Department's (ACPHD) communication materials and online platforms, and (3) relationship building with the ACPHD. The community survey revealed differences across LEP subgroups and highlighted the importance of gathering data disaggregated by language preference. The landscape assessment allowed RICE to understand the ACPHD's decision-making process and develop data-informed advocacy requests on behalf of LEP communities. Effective communication and coordination between RICE and the ACPHD shortened the feedback loop between public health authorities and LEP communities and laid the groundwork for the RICE organizations to be part of the ACPHD's future decision making. Data disaggregation, language equity-based advocacy, and cross-sector collaboration were critical ingredients in RICE's intervention. RICE's partnership and relationship of mutual accountability with the ACPHD may provide a useful model for other community-based organizations and public health departments seeking to form similar partnerships.

Survival of Filipino women with breast cancer in the United States

BACKGROUND

The survival of women with early-stage breast cancer varies by racial group. Filipino women with breast cancer are an understudied group and are often combined with other Asian groups. We compared clinical presentations and survival rates for Filipino and White women with breast cancer diagnosed in the United States.

METHODS

We conducted a retrospective cohort study of women with breast cancer diagnosed between 2004 and 2015 in the SEER18 registries database. We compared crude survival between Filipino and White women. We then calculated adjusted hazard ratios (HR) in a propensity-matched design using the Cox proportional hazards model.

RESULTS

There were 10,834 Filipino (2.5%) and 414,618 White women (97.5%) with Stage I-IV breast cancer in the SEER database. The mean age at diagnosis was 57.5 years for Filipino women and 60.8 years for White women (p < 0.0001). Filipino women had more high-grade and larger tumors than White women and were more likely to have node-positive disease. Among women with Stage I-IIIC breast cancer, the crude 10-year breast cancer-specific survival rate was 91.0% for Filipino and 88.9% for White women (HR 0.81, 95% CI 0.74-0.88, p < 0.01). In a propensity-matched analysis, the HR was 0.73 (95% CI 0.66-0.81). The survival advantage for Filipino women was present in subgroups defined by age of diagnosis, nodal status, estrogen receptor status, and HER2 receptor status.

CONCLUSION

In the United States, Filipino women often present with more advanced breast cancers than White women, but experience better breast cancer-specific survival.

Perceived Barriers and Social Cultural Factors Associated With Advance Care Planning Conversations Among Chinese American Older Adults

Despite the well-documented benefits of advance care planning (ACP), persistent racial and ethnic disparities continue to exist in ACP engagement. Guided by a social ecological model, this study examined perceived barriers and sociocultural factors associated with informal ACP conversations among Chinese American older adults. A purposive sample of 281 community-dwelling older Chinese Americans aged 55 years or older in Arizona and Maryland completed a survey in 2018. Hierarchical logistic regression models were conducted. There were 26.5% of participants who engaged in advance care planning. Lower perceived barriers and sociocultural factors (i.e., length of stay in the U.S. and English language proficiency) were positively associated with ACP conversations. Social support had a significant moderation effect. Findings highlighted the importance of language services and social support in facilitating ACP discussions among older Chinese immigrants. Effective strategies are needed to reduce the barriers to ACP at various levels for older Chinese American populations.

Health Disparities in the Use of Primary Cesarean Delivery among Asian American Women

This study examined the health disparities in primary cesarean delivery (PCD) use among Asian American (AA) women and within AA subgroups. We examined 22 years of birth registry data from one diverse northeastern state in the United States, including singleton vertex live births between 24 and 44 weeks of gestation without congenital abnormalities. Multivariate logistic regression was used to test the association between PCD and race and ethnicity groups adjusting for maternal demographic and health behaviors, infant gender and birth weight, gestational age, initiation of prenatal care, and other risk factors. Among the eligible sample, 8.3% were AA. AAs had the highest rate of PCD (18%) among all racial and ethnic groups. However, extensive heterogeneity was found among the AA subgroups. After controlling for confounding variables, compared to non-Hispanic White women, Filipino, Asian Indian, and Other Asian subgroups had a higher risk for PCD (Adj OR = 1.40, 1.37, and 1.21, p < 0.001), while Japanese, Chinese, and Korean had a lower risk (Adj OR = 0.57, 0.83, and 0.90, p < 0.001), and Vietnamese had no significant difference in PCD use. Although AA as a single racial and ethnic group had higher prevalence of PCD, more studies are warrantied to address the disproportional distribution of health disparities in PCD use within AA subgroups.

Using community-based geographical information system (GIS) to recruit older Asian Americans in an Alzheimer's disease study

OBJECTIVE

This study aims to show the usefulness of incorporating a community-based geographical information system (GIS) in recruiting research participants for the Asian Cohort for Alzheimer's Disease (ACAD) study for using the subgroup of Korean American (KA) older adults. The ACAD study is the first large study in the USA and Canada focusing on the recruitment of Chinese, Korean and Vietnamese older adults to address the issues of under-representation of Asian Americans in clinical research.

METHODS

To promote clinical research participation of racial/ethnic minority older adults with and without dementia, we used GIS by collaborating with community members to delineate boundaries for geographical clusters and enclaves of church and senior networks, and KA serving ethnic clinics. In addition, we used socioeconomic data identified as recruitment factors unique to KA older adults which was analysed for developing recruitment strategies.

RESULTS

GIS maps show a visualisation of the heterogeneity of the sociodemographic characteristics and the resources of faith-based organisations and KA serving local clinics. We addressed these factors that disproportionately affect participation in clinical research and successfully recruited the intended participants (N=60) in the proposed period.

DISCUSSION

Using GIS maps to locate KA provided innovative inroads to successful research outreach efforts for a pilot study that may be expanded to other underserved populations across the USA in the future. We will use this tool subsequently on a large-scale clinical genetic epidemiology study.

POLICY IMPLICATION

This approach responds to the call from the National Institute on Aging to develop strategies to improve the health status of older adults in diverse populations. Our study will offer a practical guidance to health researchers and policymakers in identifying understudied and hard-to-reach specific Asian American populations for clinical studies or initiatives. This would further contribute in reducing the health and research disparity gaps among older minority populations.

Differential COVID-19 preventive behaviors among Asian subgroups in the United States

BACKGROUND

Given the observed within-Asian disparity in COVID-19 incidence, we aimed to explore the differential preventive behaviors among Asian subgroups in the United States.

METHODS

Based on data from the Asian subsample (N = 982) of the 2020 Health, Ethnicity, and Pandemic survey, we estimated the weighted proportion of noncompliance with Centers for Disease Control and Prevention (CDC) guidelines on preventive behaviors and COVID-19 testing by Asian subgroups (Asian Indian, Chinese, Filipino, Japanese, Korean, Vietnamese, Other Asian). We examined these subgroup differences after adjusting for demographic factors and state-level clustering.

RESULTS

Filipinos demonstrated the lowest rate of noncompliance for mask-wearing, social distancing, and handwashing. As compared with the Filipinos, our logistic models showed that the Chinese and the 'other Asians' subgroup had significantly higher risk of noncompliance with mask-wearing, while the Japanese, the Vietnamese, and other Asians were significantly more likely to report noncompliance with social distancing.

CONCLUSIONS

The significant variation of preventive behavior across Asian subgroups signals the necessity of data disaggregation when it comes to understanding the health behavior of Asian Americans, which is critical for future pandemic preparedness. The excess behavioral risk among certain Asian subgroups (especially those 'other Asians') warrants further investigation and interventions about the driving forces behind these disparities.

Looking Across and Within: Immigration as a Unifying Structural Factor Impacting Cardiometabolic Health and Diet

Introduction

Immigration has been identified as an important social determinant of health (SDH), embodying structures and policies that reinforce positions of poverty, stress, and limited social and economic mobility. In the public health literature with regard to diet, immigration is often characterized as an individual-level process (dietary acculturation) and is largely examined in one racial/ethnic subgroup at a time. For this narrative review, we aim to broaden the research discussion by describing SDH common to the immigrant experience and that may serve as barriers to healthy diets.

Methods

A narrative review of peer-reviewed quantitative, qualitative, and mixed methods studies on cardiometabolic health disparities, diet, and immigration was conducted.

Results

Cardiometabolic disease disparities were frequently described by racial/ethnic subgroups instead of country of origin. While cardiovascular disease and obesity risk differed by country of origin, diabetes prevalence was typically higher for immigrant groups vs United States (US)-born individuals. Common barriers to achieving a healthy diet were food insecurity; lack of familiarity with US food procurement practices, food preparation methods, and dietary guidelines; lack of familiarity and distrust of US food processing and storage methods; alternative priorities for food purchasing (eg, freshness, cultural relevance); logistical obstacles (eg, transportation); stress; and ethnic identity maintenance.

Conclusions

To improve the health of immigrant populations, understanding similarities in cardiometabolic health disparities, diet, and barriers to health across immigrant communities-traversing racial/ethnic subgroups-may serve as a useful framework. This framework can guide research, policy, and public health practices to be more cohesive, generalizable, and meaningfully inclusive.

Disparities and Trends in Routine Adult Vaccination Rates Among Disaggregated Asian American Subgroups, National Health Interview Survey 2006-2018

Introduction

Vaccination rates may be improved through culturally tailored messages, but little is known about them among disaggregated Asian American subgroups. We assessed the vaccination rates for key vaccines among these subgroups.

Methods

Using the National Health Interview Survey, we analyzed recent vaccination rates (2015-2018, n=188,250) and trends (2006-2018) among Asians (Chinese [n=3,165], Asian Indian [n=3,525], Filipino [n=3,656], other Asian [n=5,819]) and non-Hispanic White adults (n=172,085) for 6 vaccines (the human papillomavirus, hepatitis B, pneumococcal, influenza, tetanus-diphtheria [tetanus], and shingles vaccines). We controlled demographic, socioeconomic, and health-related variables in multivariable logistic regression and predicted marginal modeling analyses. We also computed vaccination rates among Asian American subgroups on the 2015-2018 National Health Interview Survey data stratified by foreign-born and U.S.-born status. We used Joinpoint regression to analyze trends in vaccination rates. All analyses were conducted in 2021 and 2022.

Results

Among Asians, shingles (29.2%; 95% CI=26.6, 32.0), tetanus (53.7%; 95% CI=51.8, 55.6), and pneumococcal (53.8%; 95% CI=50.1, 57.4) vaccination rates were lower than among non-Hispanic Whites. Influenza (47.9%; 95% CI=46.2, 49.6) and hepatitis B (40.5%; 95% CI=39.0, 42.7) vaccination rates were similar or higher than among non-Hispanic Whites (48.4%; 95% CI=47.9, 48.9 and 30.7%; 95% CI=30.1, 31.3, respectively). Among Asians, we found substantial variations in vaccination rates and trends. For example, Asian Indian women had lower human papillomavirus vaccination rates (12.9%; 95% CI=9.1, 18.0) than all other Asian subgroups (Chinese: 37.9%; 95% CI=31.1, 45.2; Filipinos: 38.7%; 95% CI=29.9, 48.3; other Asians: 30.4%; 95% CI=24.8, 36.7) and non-Hispanic Whites (36.1%; 95% CI=34.8, 37.5). Being male, having lower educational attainment and income, having no health insurance or covered by public health insurance only, and lower frequency of doctor visits were generally associated with lower vaccine uptakes. Foreign-born Asian aggregate had lower vaccination rates than U.S.-born Asian aggregate for all vaccines except for influenza. We also found subgroup-level differences in vaccination rates between foreign-born and U.S.-born Asians. We found that (1) foreign-born Chinese, Asian Indians, and other Asians had lower human papillomavirus and hepatitis B vaccination rates; (2) foreign-born Chinese and Filipinos had lower pneumococcal vaccination rates; (3) foreign-born Chinese and Asian Indians had lower influenza vaccination rates; and (4) all foreign-born Asian subgroups had lower tetanus vaccination rates.

Conclusions

Vaccination rates and trends differed among Asian American subgroups. Culturally tailored messaging and interventions may improve vaccine uptakes.

Disparities in COVID-19 testing and outcomes among Asian American and Pacific Islanders: an observational study in a large health care system

BACKGROUND

The COVID-19 pandemic has disproportionately impacted racial and ethnic minorities in the United States, including Asian Americans, Native Hawaiians and Pacific Islanders (Asian Americans and NH/PIs). However, few studies have highlighted nor disaggregated these disparities by Asian Americans and NH/PIs ethnic subgroups.

METHODS

This retrospective, cross-sectional observational study aimed to assess variation of Asian Americans and NH/PIs COVID-19 testing and outcomes compared to non-Hispanic Whites (NHW). The study utilized data from the electronic health records (EHR) and the COVID-19 Universal Registry for Vital Evaluations (CURVE) from all patients tested for SARS-CoV-2 (n = 556,690) at a large, health system in Northern and Central California between February 20, 2020 and March 31, 2021. Chi-square tests were used for testing differences in the severity of COVID-19 (hospitalization, ICU admission, death) and patient demographic and clinical characteristics across the Asian Americans and NH/PIs subgroups and NHW. Unadjusted and adjusted Odds Ratios (ORs) were estimated for measuring effect of race ethnicity on severity of COVID-19 using multivariable logistic regression.

RESULTS

Of the entire tested population, 70,564/556,690 (12.7%) tested positive for SARS-CoV-2. SARS-CoV-2 positivity of Asian subgroups varied from 4% in the Chinese and Korean populations, to 11.2%, 13.5%, and 12.5% for Asian Indian, Filipino, and "other Asian" populations respectively. Pacific Islanders had the greatest subgroup test positivity at 20.1%. Among Asian Americans and NH/PIs patients with COVID-19 disease, Vietnamese (OR = 2.06, 95% CI = 1.30-3.25), "Other Asian" (OR = 2.13, 95% CI = 1.79-2.54), Filipino (OR = 1.78, 95% CI = 1.34-2.23), Japanese (OR = 1.78, 95% CI = 1.10-2.88), and Chinese (OR = 1.73, 95% CI = 1.34-2.23) subgroups had almost double the odds of hospitalization compared to NHW. Pacific Islander (OR = 1.58, 95% CI = 1.19-2.10) and mixed race subgroups (OR = 1.55, 95% CI = 1.10-2.20) had more than one and a half times odds of hospitalization compared to NHW. Adjusted odds of ICU admission or death among hospitalized patients by different Asian subgroups varied but were not statistically significant.

CONCLUSIONS

Variation of COVID-19 testing and hospitalization by Asian subgroups was striking in our study. A focus on the Asian Americans and NH/PIs population with disaggregation of subgroups is crucial to understand nuances of health access, utilization, and outcomes among subgroups to create health equity for these underrepresented populations.

Outcomes of Biologic Use in Asian Compared with Non-Hispanic White Adult Psoriasis Patients from the CorEvitas Psoriasis Registry

INTRODUCTION

Real-world data are limited comparing Asian and White patients with psoriasis using biologic therapy. This study compared the 6-month effectiveness of biologic therapy between Asian and White plaque patients with psoriasis in the CorEvitas Psoriasis Registry.

METHODS

Analyses included biologic initiations and 6-month follow-up visits from self-identified Asian (n = 293) and White (n = 2314) patients in the USA/Canada (4/2015-4/2020). Outcomes included: Psoriasis Area Severity Index (PASI) 75, disease activity measures [body surface area (BSA) ≤ 1, BSA ≤ 3, PASI90, PASI100, Investigator's Global Assessment (IGA) 0/1], and patient-reported outcomes [Dermatology Life Quality Index (DLQI) 0/1, itch, fatigue, skin pain, EuroQoL visual analog scale (EQ-VAS), patient global assessment, Work Productivity Activity and Impairment (WPAI) domains]. Unadjusted regression models were used to calculate odds ratios (OR) and 95% confidence intervals (CI) for achievement of binary outcomes and difference in mean change in continuous outcomes (β, 95% CI) at 6 months, followed by adjustment for age, sex, body mass index, alcohol, smoking, health insurance, education, comorbidities, scalp psoriasis morphology, psoriatic arthritis, biologic class, previous biologics, and baseline outcome value.

RESULTS

Asians had lower proportions of women (32.8% versus 49.1%) and obesity (27.3% versus 54.5%), and higher proportions on Medicaid (19.9% versus 8.8%), graduated college (50.9% versus 40.1%) and never smoked (67.1% versus 44.1%). In unadjusted analyses, Asians had 52% higher odds of achieving PASI75 versus White patients (OR 1.52; 95% CI 1.15, 2.02). After adjustment, the association was attenuated (OR 1.11; 0.81, 1.52). Secondary outcomes experienced similar patterns except for DLQI: Asians had 33% lower odds of achieving DLQI 0/1 in both the unadjusted (OR 0.67; 0.50, 0.90) and adjusted (OR 0.67; 0.49, 0.92) models.

CONCLUSION

Unadjusted differences in biologic therapy effectiveness between Asians compared with White patients were likely explained by differences in demographic, lifestyle, and psoriatic disease characteristics between groups. However, Asians still experienced lesser improvements in skin-related quality of life, even after adjustment.

Investigating the associations between cognitive appraisals, emotion regulation and symptoms of posttraumatic stress disorder among Asian American and European American trauma survivors

This study investigated whether the associations between emotion regulation and cognitive appraisals and symptoms of posttraumatic stress disorder (PTSD) differ between Asian American and European American trauma survivors. Asian American (n = 103) and European American (n = 104) trauma survivors were recruited through mTurk and completed an on-line questionnaire assessing cognitive appraisals, emotion regulation and PTSD symptomatology. The European American group reported greater trauma-specific rumination, psychological inflexibility, seeking out others for comfort, and negative self-appraisals than the Asian American group. The Asian American group reported greater secondary control appraisals and cultural beliefs about adversity than the European American group. Second, cultural group moderated the associations between (a) brooding rumination, (b) fatalism, (c) self-blame, and (d) negative communal self-appraisals and PTSD symptoms. These associations were larger for the European American group than the Asian American group. Third, there was an indirect pathway from self-construal (independent and interdependent) to PTSD symptoms through certain emotion regulation approaches and cognitive appraisals. Additionally, cultural group was found to moderate several of these indirect effects. These findings highlight the importance of considering cultural background and cultural values in understanding the processes involved in PTSD. Further research in this area is needed.

Testing positive, losing a loved one, and financial hardship: Real-world impacts of COVID-19 on US college student distress

BACKGROUND

The COVID-19 pandemic has taken a particularly heavy toll on U.S. college students. In addition to facing academic-related stress and social pressures, these individuals are now increasingly susceptible to experiences such as contracting the virus, losing loved ones to COVID-19, or facing financial hardship due to the pandemic. The effects of such personal, pandemic-related experiences on young adult mental health - and the inherent racial disparities within these outcomes - remain largely understudied.

METHODS

We analyzed 65,568 undergraduate students from the Spring 2021 American College Health Association-National College Health Assessment (ACHA-NCHA).

RESULTS

The rates of the aforementioned COVID-19-related stressors were unevenly distributed across racial groups. A logistic regression analysis to identify predictors of moderate and serious psychological distress revealed that participants who had experienced the death of a loved one had 1.14 times greater odds of developing psychological distress (p < 0.0001). Those who experienced financial hardship had an odds ratio of 1.78 (p < 0.0001). Surprisingly, testing positive for COVID-19 was associated with an odds ratio of 0.82 of psychological distress (p < 0.0001).

LIMITATIONS

Self-reported measures are susceptible to recall bias and misinterpretation. Exposure and outcome variables were measured simultaneously in this cross-sectional study which limits inference on causality.

CONCLUSIONS

Financial burdens and bereavement are especially impactful stressors among college students during the pandemic, whereas contracting COVID-19 seemingly exhibits less impact on distress levels. When addressing student wellbeing, institutions should consider prioritizing the implementation of resources to support individuals affected by pandemic-related financial and familial losses.

Representation of Asian American Populations in Medical School Curricula

Importance

Despite being one of the fastest-growing populations in the US, the Asian American population is often misrepresented in and omitted from health research and policy debate. There is a current lack of understanding of how Asian American populations are portrayed in medical school curricula.

Objective

To assess how Asian American populations and their subgroups are represented in medical school curricula.

Design, Setting, and Participants

In this qualitative study, the content of 632 lectures from all 19 courses of the preclinical curriculum at a single US institution from the academic year 2020 to 2021 was analyzed to identify and characterize unique mentions of race and ethnicity as well as granular ethnicity. Among the 632 lectures, we identified 256 nonrepetitive, unique mentions of race and ethnicity or granular ethnicity. These unique mentions were coded and analyzed for emerging patterns of use.

Main Outcomes and Measures

Study outcomes included (1) the frequency of specific racial and ethnic categories mentioned in the curriculum, (2) the relative proportion of mentions of race and ethnicity that involved or included Asian American data by courses and context, and (3) key themes representing emerging patterns found from qualitative analysis of curriculum content for mentions of Asian American populations or lack thereof.

Results

Among the 632 lectures, 256 nonrepetitive mentions of race and ethnicity or granular ethnicity were identified; of these, Asian American populations and/or their subgroups were mentioned in 79 of the instances (30.9%). The most common terms used to denote Asian American populations were Asian, with 36 mentions (45.6%); followed by Japanese, with 10 mentions (12.7%); and Chinese, with 8 mentions (10.1%). Overall, there were 26 mentions (10.2%) of American Indian or Alaska Native populations, 12 mentions (4.7%) of Asian and Pacific Islander or Asian American and Pacific Islander populations, 67 mentions (26.2%) of Asian or Asian American populations, 143 mentions (55.9%) of Black or African American populations, 62 mentions (24.2%) of Hispanic or Latino populations, 4 mentions (1.6%) of Native Hawaiian or Pacific Islander populations, and 154 mentions (60.2%) of White populations. During the analysis of the curriculum for representation of Asian American populations, the following 5 key themes emerged from the data: (1) omission, (2) aggregation, (3) inconsistent categorization, (4) misidentification of granular ethnicity, and (5) association of race and ethnicity with disease.

Conclusions and Relevance

This qualitative study suggests that the curriculum from a single US medical school largely mirrors the inappropriate use of race and ethnicity found in published health literature and clinical guidelines. Solutions with long-term results will require collaboration among diverse groups of interest to adopt inclusive research programs and design. Such solutions could better equip students in combating race-based medicine and could promote community outreach programs built based on trust.

Charting a Path Towards Asian American Cancer Health Equity: A Way Forward

On July 29, 2021, the US Food and Drug Administration's Oncology Center of Excellence convened Conversations on Cancer. This Conversation, the first ever by the US Food and Drug Administration, focused on Asian Americans and served as the platform for this Commentary. Panelists elaborated on topics ranging from heterogeneity in Asian American demographics to racism through a path to health equity and supplemented this Commentary with literature citations. Asian Americans are the fastest-growing US race group, yet data aggregation obscures distinctions and cancer disparities within the more than 24 million Asians living in the United States with harmful impacts on communities and patients, as illustrated by breast cancer survivor Susan Shinagawa's patient-to-advocate journey. Bigotry against Asian Americans has been pervasive since the 19th century, but especially during the COVID-19 pandemic. Asian Americans are unique as the first US population to experience cancer as the leading cause of death. Asian Americans are disproportionately affected by cancers because of infectious origins and have the highest rates of lung cancer among never-smoking women. The infinitesimal proportion of the National Institutes of Health's budget compared with experiencing the highest percentage increases of any US racial population more than 3 decades highlights the dearth of focused research among Asian Americans. Recognizing the heterogeneity of Asian Americans and that disaggregated data are critical for accurately characterizing distinct ethnic groups, focusing on the impact of racism and COVID-19 on cancer disparities, and focusing and prioritizing funding resources are necessary steps forward for achieving health equity for Asian Americans.