Associations Between Ultra-processed Food Consumption and Cardiometabolic Health Among Older US Adults: Comparing Older Asian Americans to Older Adults From Other Major Race-Ethnic Groups

Using data from the National Health and Nutrition Examination Survey (2001-2018; N = 19,602), this study examined whether ultra-processed food (UPF) consumption is associated with cardiometabolic health (obesity, hypertension, high cholesterol, and diabetes), among White, Black, Hispanic, and Asian Americans (AA) US adults 50 or older. Diet was assessed using 24 hour dietary recall. NOVA dietary classification system was used to calculate the percentage of caloric intake derived from UPFs. Cardiometabolic information was assessed through physical examination, blood tests, and self-reported medication information. A median of 54% (IQR: 40%, 68%) of caloric intake was attributed to UPFs and was lowest for AAs (34%, IQR: 20%, 49%) and highest for White adults (56%; IQR: 42, 69%). In multivariable adjusted models, UPF consumption was associated with greater odds of obesity, high cholesterol, and diabetes. UPF consumption is associated with poor cardiometabolic health among all US older adults. For AAs, UPFs may be particularly obesogenic.

Substance use and treatment disparities among Asian Americans, Native Hawaiians, and Pacific Islanders: A systematic review

BACKGROUND

The increasing relevance of substance use disorder (SUD) within the Asian American, Native Hawaiian, and Pacific Islander (AA&NH/PI) communities, particularly amidst rising anti-Asian hate incidents and the disproportionate health and economic challenges faced by the NH/PI community during the COVID-19 pandemic, underscores the urgency of understanding substance use patterns, treatment disparities, and outcomes.

METHODS

Following PRISMA guidelines, 37 out of 231 studies met the search criteria. Study characteristics, study datasets, substance use rates, SUD rates, treatment disparities, treatment quality, completion rates, and analyses disaggregated by the most specific AA&NH/PI ethnic group reported were examined.

RESULTS

Despite increased treatment admissions over the past two decades, AA&NH/PI remain underrepresented in treatment facilities and underutilize SUD care services. Treatment quality and completion rates are also lower among AA&NH/PI. Analyses that did not disaggregate AA and NHPI as distinct groups from each other or that presented aggregate data only within AA or NHPI as a whole were common, but available disaggregated analyses reveal variations in substance use and treatment disparities among ethnic groups. There is also a lack of research in exploring within-group disparities, including specific case of older adults and substance use.

CONCLUSION

To address disparities in access to substance use treatment and improve outcomes for AA&NH/PI populations, targeted interventions and strategic data collection methods that capture diverse ethnic groups and languages are crucial. Acknowledging data bias and expanding data collection to encompass multiple languages are essential for fostering a more inclusive approach to addressing SUD among AA&NH/PI populations.

A Culturally Specific Community Supported Agriculture (CSA) Program to Improve Diet in Immigrant Communities in Brooklyn, New York

Anti-Asian and anti-immigrant sentiment has surged in the country in the last 3 years. Food insecurity is also on the rise; in our local needs assessment of n = 1,270 Asian American adults in New York City, accessing food was cited as the number 1 priority among those who needed help. Finally, racial discrimination and food access are related to fear of being attacked-driving feelings of safety and therefore willingness to travel for food. To combat these narratives and leveraging pivots by our community partners, we implemented a community-supported agriculture pilot program (n = 38) to assess whether culturally appropriate food access can improve diet and foster cross-cultural learning among immigrant families in Brooklyn, NY. Over a 20-week period from June to October 2022, participants received Chinese-specific produce and nutrition education. Participants reported eating more and a greater variety of vegetables and had higher vegetable intake measured via skin carotenoid scores. This pilot may inform the adaptation of nutrition interventions to reduce inequities in chronic diseases in immigrant communities.

Making Oneself "Fit": Community Perspectives on Disaggregated Race and Ethnicity Data Collection and Reporting in Healthcare Settings

Patient race/ethnicity data collection in most U.S. health systems abide by federal standards, determined by the federal Office of Management and Budget. Yet, decades of research show that reliance on these categories alone limits understanding of within-group health disparities, systematically erasing key groups from health data. Because granular race/ethnicity data is complex and patients may be hesitant to disclose this personal information, it is important for health leaders to consider community perspectives when making decisions about race/ethnicity data procedures. As such, this study uses community focus groups to understand: (1) how individuals representing different racial/ethnic identities perceive the collection of race/ethnicity in healthcare settings; (2) differences in opinions between disaggregated race/ethnicity data collection instruments and those using federal standards; and (3) recommended practices for collecting race/ethnicity from patients. Participants self-selected into 13 focus groups and one key informant interview based on the race/ethnicity with which they most closely identified. Audio recordings from these groups were transcribed and evaluated using thematic content analysis. Among the 83 total participants in this study, there was a strong preference for more flexible and specific options for self-identifying race/ethnicity in healthcare settings. Participants also felt comfortable disclosing granular race/ethnicity to health providers but expressed discomfort with disclosing this information for other purposes. Recommendations for healthcare leaders include ensuring patients receive detailed communication about race/ethnicity data use and purpose, allowing multiple category selection, keeping the list of disaggregated response options short so as to not overwhelm patients, and providing a free text option to ensure inclusivity.

Profiles of a COVID-19 Syndemic: Anti-Asian Racism, Economic Challenges, and Mental and Physical Health

BACKGROUND

During the COVID-19 pandemic, Asians/Asian Americans have experienced co-occurring threats of anti-Asian racism, economic challenges, and negative mental and physical health symptoms.

OBJECTIVES

We examined the co-occurrence of COVID-19-related anti-Asian discrimination and collective racism, economic stressors, and mental and physical health challenges for Asians/Asian Americans during the COVID-19 pandemic. We also examined Asian/Asian American subgroups associated with these threats.

METHODS

Nationally representative data from the 2021 Asian American and Native Hawaiian/Pacific Islander COVID-19 Needs Assessment Project (unweighted N = 3,508) were used to conduct a latent profile analysis to identify unique typologies of the co-occurrence of these threats. We also conducted chi-square analyses to investigate subgroup differences by latent profile.

RESULTS

We identified five distinct latent profiles: multi-threat impact, low impact, collective racism, health challenges, and economic/health challenges. Forty percent of Asians/Asian Americans were in the multi-threat impact profile, indicating high levels across COVID-19-related threats. Subgroup analyses revealed significant differences in profile membership. East Asians, US-born Asians/Asian Americans, and those aged 25-44 seemed to be particularly affected by the proposed syndemic; results also differed by income.

CONCLUSION

Asians/Asian Americans have experienced co-occurring and interrelated threats during COVID-19 that suggest the presence of a syndemic. Results from our study point to vulnerable Asian/Asian American subgroups and the need for targeted public health efforts to address racism, health challenges, and economic challenges in the context of COVID-19.

Trends and disparities in prevalence of cardiometabolic diseases by food security status in the United States

BACKGROUND

Previous studies have demonstrated the association between food security and cardiometabolic diseases (CMDs), yet none have investigated trends in prevalence of CMDs by food security status in the United States (US).

METHODS

Serial cross-sectional analysis of the US nationally representative data from National Health and Nutrition Examination Survey (1999-2018) was conducted among adults aged 20 years or older. Food security status was defined by the US Household Food Security Survey Module (full, marginal, low, and very low food security). We estimated the age-adjusted prevalence of CMDs including obesity, hypertension, diabetes, and coronary heart disease by food security status. Racial and ethnic disparities in age-adjusted prevalence of CMDs by food security status were also assessed.

RESULTS

A total of 49,738 participants were included in this analysis (weighted mean age 47.3 years; 51.3% women). From 1999 to 2018, the age-adjusted prevalence of CMDs was lower in full food secure group as compared with other groups. For example, trends in hypertension decreased from 49.7% (47.5-51.8%) to 45.9% (43.8-48.0%) (P-trend = 0.002) among the full and from 54.2% (49.9-58.5%) to 49.7% (46.8-52.6%) (P-trend = 0.02) among the marginal but remained stable among the low at 49.7% (47.9-51.6%) and among the very low at 51.1% (48.9-53.3%) (P-interaction = 0.02). Prevalence of diabetes increased from 8.85% (8.15-9.60%) to 12.2% (11.1-13.5%) among the full (P-trend < 0.001), from 16.5% (13.2-20.4%) to 20.9% (18.6-23.5%) (P-trend = 0.045) among the marginal and from 14.6% (11.1-19.0%) to 20.9% (18.8-23.3%) (P-trend = 0.001) among the low but remained stable at 18.8% (17.0-20.9) among the very low (P-trend = 0.35) (P-interaction = 0.03). Racial and ethnic differences in prevalence of CMD by food security status were observed. For example, among individuals with full food secure status, the prevalence of diabetes was 9.08% (95% CI, 8.60-9.59%) for non-Hispanic whites, 17.3% (95% CI, 16.4-18.2%) for non-Hispanic blacks, 16.1% (95% CI, 15.0-17.4%) for Hispanics and 14.9% (95% CI, 13.3-16.7%) for others.

CONCLUSIONS AND RELEVANCE

Prevalence of CMDs was greatest among those experiencing food insecurity, and food insecurity disproportionately affected racial/ethnic minorities. Disparities in CMD prevalence by food security status persisted or worsened, especially among racial/ethnic minorities.

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 risk factors, prevention, diagnosis, and treatment; inadequate efforts 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. Expected final online publication date for the Annual Review of Public Health, Volume 45 is April 2024. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

Methods for retrospectively improving race/ethnicity data quality: a scoping review

Improving race and ethnicity (hereafter, race/ethnicity) data quality is imperative to ensure underserved populations are represented in data sets used to identify health disparities and inform health care policy. We performed a scoping review of methods that retrospectively improve race/ethnicity classification in secondary data sets. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, searches were conducted in the MEDLINE, Embase, and Web of Science Core Collection databases in July 2022. A total of 2 441 abstracts were dually screened, 453 full-text articles were reviewed, and 120 articles were included. Study characteristics were extracted and described in a narrative analysis. Six main method types for improving race/ethnicity data were identified: expert review (n = 9; 8%), name lists (n = 27, 23%), name algorithms (n = 55, 46%), machine learning (n = 14, 12%), data linkage (n = 9, 8%), and other (n = 6, 5%). The main racial/ethnic groups targeted for classification were Asian (n = 56, 47%) and White (n = 51, 43%). Some form of validation evaluation was included in 86 articles (72%). We discuss the strengths and limitations of different method types and potential harms of identified methods. Innovative methods are needed to better identify racial/ethnic subgroups and further validation studies. Accurately collecting and reporting disaggregated data by race/ethnicity are critical to address the systematic missingness of relevant demographic data that can erroneously guide policymaking and hinder the effectiveness of health care practices and intervention.

Identifying opportunities for collective action around community nutrition programming through participatory systems science

PURPOSE

To apply principles of group model building (GMB), a participatory systems science approach, to identify barriers and opportunities for collective impact around nutrition programming to reduce cancer risk for immigrant communities in an urban environment.

METHODS

We convened four in-person workshops applying GMB with nine community partners to generate causal loop diagrams (CLDs)-a visual representation of hypothesized causal relationships between variables and feedback structures within a system. GMB workshops prompted participants to collaboratively identify programmatic goals and challenges related to (1) community gardening, (2) nutrition education, (3) food assistance programs, and (4) community-supported agriculture. Participants then attended a plenary session to integrate findings from all workshops and identify cross-cutting ideas for collective action.

RESULTS

Several multilevel barriers to nutrition programming emerged: (1) food policies center the diets and practices of White Americans and inhibit culturally tailored food guidelines and funding for culturally appropriate nutrition education; (2) the lack of culturally tailored nutrition education in communities is a missed opportunity for fostering pride in immigrant food culture and sustainment of traditional food practices; and (3) the limited availability of traditional ethnic produce in food assistance programs serving historically marginalized immigrant communities increases food waste and worsens food insecurity.

CONCLUSION

Emergent themes coalesced around the need to embed cultural tailoring into all levels of the food system, while also considering other characteristics of communities being reached (e.g., language needs). These efforts require coordinated actions related to food policy and advocacy, to better institutionalize these practices within the nutrition space.

A qualitative study to inform the development of a subsidized community-supported agriculture program for Chinese Americans in Brooklyn, New York, U.S

The objective of this study was to inform the development of a subsidized, culturally adapted Community-Supported Agriculture (CSA) program for the Chinese American (CA) community in Brooklyn, New York (NY), USA. We conducted interviews with CA adults to understand their eating and shopping behaviors, interests in CSAs, and recommendations for educational content to inform the development of a subsidized and culturally adapted CSA. We then conducted thematic analysis of those interviews and identified major themes. CA adult participants shared interest in a CSA primarily to support their own health, interact socially with farmers and other participants, and gain access to fresh, culturally appropriate produce. Major concerns for participation, especially among older adults, included language barriers, transportation, and mobility. The unique needs and motivations of CAs should be centered in the development of alternative food access interventions for this population. CA adult participants living in Brooklyn, NY may be interested in a subsidized culturally adapted CSA that includes health information about the produce and provides in-language support. Engaging communities in the development of a health program may be important to ensure accessibility and acceptability for CA populations.

Urgent need for substance use disorder research among understudied populations: examining the Asian-American experience

Substance use disorder (SUD) among Asian Americans is understudied. Our review of National Institutes of Health-funded projects reveals a striking underrepresentation of research focused on SUD in this population, possibly perpetuated by the pervasive societal myth that Asian Americans are a healthy community. Moreover, the limited availability and disaggregation of data on SUD among Asian Americans further hinder our understanding of prevalence rates, treatment utilization, and associated disparities-thereby limiting opportunities for prevention and intervention. In light of these findings, our review serves as a crucial call to action, emphasizing the urgent need for increased research efforts and resources to address the significant gaps in knowledge and inform effective interventions for addressing SUD among Asian Americans.

Consumption of Ultraprocessed Foods and Body Fat Distribution Among U.S. Adults

INTRODUCTION

The association between ultraprocessed food consumption and body composition and potential variations by sociodemographic factors is unclear. This study aims to examine the cross-sectional associations of ultraprocessed food consumption with imaging markers of body fat distribution in a nationally representative sample of U.S. adults, overall and by sociodemographic strata.

METHODS

A total of 9,640 men and nonpregnant women aged 20-59 years were included from 4 cycles (2011-2012, 2013-2014, 2015-2016, 2017-2018) of the National Health and Nutrition Examination Survey with valid 24-hour dietary recalls and available whole-body dual-energy x-ray absorptiometry scans. Ultraprocessed foods were identified using the NOVA classification, with percentage energy from ultraprocessed food assessed in quintiles. Primary outcomes were absolute percentage fat (total, android, gynoid), and secondary ones were percentage fat (head, arm, leg, trunk), total abdominal fat (area, mass, volume), subcutaneous adipose tissue (area, mass, volume), and visceral adipose tissue (area, mass, volume). Multivariable-adjusted generalized linear regressions estimated independent relationships of ultraprocessed food intake with body composition overall and by sociodemographic subgroups. Analyses were conducted in September 2022 and January 2023.

RESULTS

Ultraprocessed food consumption accounted for more than half (55.5%) of daily energy consumption in this sample. Adults in the highest quintile (>72.1% energy) had 1.60 higher total percentage fat (95% CI=0.94, 2.26), 2.08 higher android percentage fat (95% CI=1.26, 2.89), and 1.32 higher gynoid percentage fat (95% CI=0.71, 1.93) than those in the lowest quintile of ultraprocessed food consumption (<39.4% energy) (all p-trend<0.001). Consistent findings were observed for secondary outcomes. Associations of ultraprocessed food intake with total percentage fat, android percentage fat, and gynoid percentage fat varied by age, sex, race and ethnicity, education, and income. Among those in the highest quintile of ultraprocessed food consumption compared with the lowest quintile counterpart, total percentage fat was 1.85 (95% CI=0.86, 2.84) higher for non-Hispanic White adults and 1.57 (95% CI=0.68, 2.46) higher for Hispanic adults (p-trends<0.001), whereas no difference was observed among non-Hispanic Black adults (-0.22; 95% CI= -0.93, 1.36) (p-trend=0.47) and non-Hispanic Asian adults (0.93; 95% CI= -0.57, 2.42) (p-trend=0.04) (p-interaction=0.001). Associational patterns were similar for android percentage fat and gynoid percentage fat.

CONCLUSIONS

In a national U.S. sample, higher intake of ultraprocessed food was associated with greater body fat, in particular android fat, and this relationship was most prominent in certain population subgroups. These cross-sectional findings call for prospective and interventional studies to assess the impact of ultraprocessed food on body composition in different populations.

Transportation and language access as crucial pillars for an immigrant-inclusive 21st-century food security program

Though food insecurity has long been recognised to impact health, population-specific determinants of food insecurity have recently been studied systematically as an important public health concern. Indeed, while immigrant populations face particular challenges to equitable access to the food system, many of these concerns have not been systematically described. To this end, we critically review recent work that demonstrates the importance of transportation and language access as independent determinants of access to food for immigrant populations. Furthermore, we highlight proposals to mitigate barriers to access, including both academic and community-driven approaches to create overlapping institutional commitments for inclusive policymaking that meets the specific needs of diverse populations.

Establishing the criterion validity of an adapted dietary screener for Asian Americans amongst Chinese American adults

OBJECTIVE

To assess the criterion validity of a dietary screener questionnaire adapted for Asian Americans (ADSQ) compared to Automated Self-Administered 24-Hour Dietary Assessment Tool (ASA-24) food diary data amongst Chinese American Adults (CHAs). The ADSQ incorporated example ethnic foods from six Asian American groups. Lessons learned with respect to translating the ADSQ from English into Simplified Chinese were also documented.

DESIGN

Agreement between a two-day food diary (one weekend day and one weekday) and the ADSQ was assessed for vegetable, fruit, dairy, added sugar, fiber, calcium, and whole grain intake using paired t-tests to compare means and Spearman correlations to assess agreement between intake of food components.

SETTING

Data were collected online and via phone interviews.

PARTICIPANTS

Thirty-three CHAs aged 19-62 years (63.6% female).

RESULTS

Mean differences were small for fruit, dairy, fiber, calcium, and whole grain intake, but were significantly different for vegetables and added sugar intake. Spearman correlations were < 0.5 and non-significant (p > 0.05) for all components. Both the ASA-24 and the ADSQ identified the same categories where CHAs intake is misaligned with dietary recommendations: whole grains, total fruit, and dairy. Difficulties were encountered in translating 13 out of 26 questions.

CONCLUSIONS

The ADSQ may be a useful tool to identify intervention targets for improving dietary quality, but caution is warranted when interpreting vegetable and added sugar estimates. Differences in the English and Chinese languages underscore the need to take into account both literal translations and semantics in translating the ADSQ into other languages.

A microbial causal mediation analytic tool for health disparity and applications in body mass index

BACKGROUND

Emerging evidence suggests the potential mediating role of microbiome in health disparities. However, no analytic framework can be directly used to analyze microbiome as a mediator between health disparity and clinical outcome, due to the non-manipulable nature of the exposure and the unique structure of microbiome data, including high dimensionality, sparsity, and compositionality.

METHODS

Considering the modifiable and quantitative features of the microbiome, we propose a microbial causal mediation model framework, SparseMCMM_HD, to uncover the mediating role of microbiome in health disparities, by depicting a plausible path from a non-manipulable exposure (e.g., ethnicity or region) to the outcome through the microbiome. The proposed SparseMCMM_HD rigorously defines and quantifies the manipulable disparity measure that would be eliminated by equalizing microbiome profiles between comparison and reference groups and innovatively and successfully extends the existing microbial mediation methods, which are originally proposed under potential outcome or counterfactual outcome study design, to address health disparities.

RESULTS

Through three body mass index (BMI) studies selected from the curatedMetagenomicData 3.4.2 package and the American gut project: China vs. USA, China vs. UK, and Asian or Pacific Islander (API) vs. Caucasian, we exhibit the utility of the proposed SparseMCMM_HD framework for investigating the microbiome's contributions in health disparities. Specifically, BMI exhibits disparities and microbial community diversities are significantly distinctive between reference and comparison groups in all three applications. By employing SparseMCMM_HD, we illustrate that microbiome plays a crucial role in explaining the disparities in BMI between ethnicities or regions. 20.63%, 33.09%, and 25.71% of the overall disparity in BMI in China-USA, China-UK, and API-Caucasian comparisons, respectively, would be eliminated if the between-group microbiome profiles were equalized; and 15, 18, and 16 species are identified to play the mediating role respectively.

CONCLUSIONS

The proposed SparseMCMM_HD is an effective and validated tool to elucidate the mediating role of microbiome in health disparity. Three BMI applications shed light on the utility of microbiome in reducing BMI disparity by manipulating microbial profiles. Video Abstract.

Relative validity of a Diet Risk Score (DRS) for Chinese American adults

Objective

The objective of this study was to evaluate the relative validity of the nine-item Diet Risk Score (DRS) among Chinese American adults using Healthy Eating Index (HEI)-2015 scores. We provide insights into the application of the Automated Self-Administered 24-Hour Dietary Assessment Tool (ASA24) for this population, and report on lessons learned from carrying out participant recruitment during the COVID-19 pandemic.

Methods

Thirty-three Chinese American adults (mean age=40; 36% male) were recruited from the community and through ResearchMatch. Participants completed the DRS and two 24-hour food records, which were entered into the ASA 24-Hour Dietary Assessment Tool (ASA24) by community health workers (CHWs). HEI-2015 scores were calculated from each food record and an average score was obtained for each participant. One-way analysis of variance and Spearman correlations were used to compare total and component scores between the DRS and HEI-2015.

Results

Mean HEI-2015 score was 56.7/100 (SD 10.6) and mean DRS score was 11.8/27 (SD 4.7), with higher scores reflecting better and worse diets, respectively. HEI-2015 and DRS scores were inversely correlated (r=-0.43, p<0.05). The strongest correlations were between HEI-2015 Total Vegetables and DRS Vegetables (r=-0.5, p<0.01), HEI-2015 Total Vegetables and Green Vegetables (r=-0.43, p=0.01) and HEI-2015 Seafood/Plant Protein and DRS Fish (r=-0.47, p<0.01). The inability to advertise and recruit for the study in person at community centres due to pandemic restrictions impeded the recruitment of less-acculturated individuals. A lack of cultural food items in the ASA24 database made it difficult to record dietary intake as reported by participants.

Conclusion

The DRS can be a valuable tool for physicians to identify and reach Chinese Americans at risk of cardiometabolic disease.

Online Grocery Shopping Behaviors and Attitudes Among Asian Americans

How online grocery shopping behaviors differ among Asian American (AA) ethnic subgroups and acculturation level is unknown. From June 9-15, 2020, we administered an online survey to a nationally-derived nonprobability sample of 2,895 AA adults, including 1,737 East, 570 South, and 587 Southeast Asian adults, assessing online grocery shopping (yes/no, frequency, reasons). We used logistic regression to compare responses by subgroup and acculturation score, controlling for sociodemographics. Thirty-percent of participants reported shopping online for groceries in a typical month, with a higher percentage among South (45%) versus East Asian adults (23%). Participants with low (vs. high) acculturation scores were more likely to report a lack of special foods (OR = 0.7; 95% CI: 0.5-0.98) and poor food quality (OR = 0.6; 95% CI: 0.4-0.7) as preventing them from shopping online. Online grocery shopping has the capacity to address inequities in health, potentially via culturally-tailored programs designed for less-acculturated AA adults.

Abstract P363: Knowledge of COVID-19-Related Risk Factors and Conditions Among Asian American, Native Hawaiian, and Pacific Islander Adults, February-April 2022

Introduction: Communities of color, including Asian Americans (AAs), Native Hawaiians and Pacific Islanders (NH/PIs), experienced higher rates of COVID-19 infection, hospitalization and death compared to white populations during the early pandemic. Further, there are known disparities in cardiovascular disease (CVD) risk factors among AA and NH/PI groups that existed pre-pandemic (e.g., greater prevalence of diabetes among Filipino and Asian Indian compared to white adults). These outsized risks are combined with the increased experience of anti-Asian racism in this period along with historical distrust of health institutions, and legacies of structural racism that have made communities of color vulnerable to the pandemic. The purpose of this study was to understand knowledge of COVID-19-related conditions among AA and NH/PI ethnic groups, in order to anticipate and mitigate further COVID-19 and CVD disparities.

Hypothesis: We hypothesize that knowledge of post-COVID-19 conditions and variants would vary by disaggregated AA and NH/PI ethnic group.

Methods: The National COVID-19 Rapid Needs Assessment was conducted among AA and NH/PI adults from February to April 2022 with the help of ten community partners (n = 1,358; 1,197 AAs and 153 NH/PIs). The survey was primarily administered online in English and 11 Asian languages. We examined the following COVID-19 knowledge outcomes: vaccine breakthrough infections, COVID-19 variants, and long COVID. Responses included: ‘I know a lot about it,’ ‘I know a moderate amount about it,’ ‘I have heard of it, but don’t know much about it,’ and ‘I haven’t heard of it.’ Outcomes were disaggregated by seven AA (Chinese, Taiwanese, Filipino, Japanese, Korean, Vietnamese, South Asian) and two NH/PI (Polynesian, Micronesian) subgroups. Additional analyses will examine differences in knowledge based on misinformation and disinformation in the absence of timely, language concordant COVID-19 information.

Results: Among AAs overall, 14.0% had not heard of vaccine breakthrough infections; 7.4% had not heard of COVID-19 variants; and 11.7% had not heard of long COVID. South Asian adults reported the lowest knowledge of COVID-19, while Filipinos reported the highest knowledge. Among NH/PI adults, 27.2% had not heard of vaccine breakthrough infections; 6.6% had not heard of COVID-19 variants; and 28.4% had not heard of long COVID. Both NH/PI subgroups reported very low knowledge of breakthrough infections and long COVID.

Conclusion: Findings indicate COVID-19-related knowledge disparities across AA and NH/PI ethnic subgroups which may be more pronounced among South Asian and NH/PI communities. The COVID-19 pandemic will exacerbate known CVD health disparities if the pandemic mitigation strategies (e.g., disaggregated racial/ethnic data collection) are not inclusive of communities of color, immigrants and limited English fluent populations.

Abstract P611: A Multi-Sector, Collaborative Approach to Improve Diet in Mexican and Chinese American Immigrant Families

Introduction: Latinx and Asian American communities in the U.S. face unique yet similar structural barriers to maintaining adequate diet quality, contributing to an increased burden of diabetes and non-alcoholic fatty liver disease in these groups. These inequities have been exacerbated in recent years due to overt anti-immigrant and anti-Asian sentiment during the COVID-19 pandemic, invoking fear and cultural shame for these groups, and amplifying challenges towards accessing food and economic stability.

Hypothesis: Herein we describe a community-centered, multi-level approach aligned with the National Institute of Minority Health and Health Disparities Framework. We hypothesize our study will result in increased fruit and vegetable intake (self-report, measured via skin carotenoids), social cohesion and ethnic pride at the individual level and improved socioeconomic outcomes at the neighborhood level.

Methods: Working collaboratively with 8 community-based and farm partners, the goal of the Building Access to Food through Systems and Solidarity (BASIS) Study is to improve diet and economic stability in Sunset Park—a neighborhood of Mexican and Chinese American families in Brooklyn, NY. This neighborhood has been hard-hit during the COVID-19 pandemic and lagged in economic recovery, and its residents are disconnected from government support. BASIS addresses food access, nutrition education, policy change, and hands-on learning (e.g., gardening, cooking) incorporating culturally appropriate values, foods, and taste preferences throughout each of these activities.

Results: To date, we have held four group model-building workshops with partners to identify common priorities/goals towards improving nutrition in immigrant communities; co-developed Mexican and Chinese American-specific nutrition education materials; held eight virtual and in-person sessions with community members (n=291); conducted qualitative interviews (n=19) and quantitative data collection (n=175) amongst community residents to inform program development; and implemented a subsidized, community-supported agriculture pilot program for 20 weeks in 2022 (n=38). BASIS resources have been well-received by community members, with high engagement (90% attend weekly produce box pick-up events) and acceptance (100% indicated they would recommend the program to others).

Conclusions: Planned evaluation will include mixed methods and administrative data analyses for assessment of multi-level outcomes. BASIS will expand to more participants (n=150), and will include additional program components (e.g., food policy assessment; workforce development; small business owner education). BASIS presents a powerful model to improve diet in immigrant communities applying systems thinking and community-centered best practices, lessons which may be gleaned for other immigrant communities.

Infant Feeding Practices and Social Support Networks Among Immigrant Chinese American Mothers With Economic Disadvantage in New York City

BACKGROUND

Maternal social support promotes healthy infant feeding practices, which influence healthy growth and development. Less is known about how the interplay of social support networks and multicultural health beliefs may influence infant feeding practices, particularly among immigrant Chinese American mothers with economic disadvantage and low breastfeeding rates.

RESEARCH AIM

To explore the role of social support networks in the development of infant feeding practices in immigrant Chinese American mothers with infants.

METHODS

This was a prospective, cross-sectional qualitative study where we conducted semi-structured interviews in Mandarin, Cantonese, or English with Chinese American mothers of infants (N = 25) at a federally qualified health center in the Sunset Park neighborhood of Brooklyn, New York. Data were analyzed by a multicultural, multidisciplinary team using qualitative thematic analysis and the constant comparative method to identify and iteratively refine emerging codes.

RESULTS

Three themes emerged describing how broad transnational communities and close family and friends influence maternal-infant feeding practices: (1) Gathering and processing infant feeding information from broad transnational resources (i.e., from both the mother's country of residence and the mother's country of origin); (2) aligning maternal feeding attitudes with cultural health beliefs of local social networks; and (3) gaining confidence with transactional maternal-infant feeding interactions.

CONCLUSIONS

Strategies to promote healthy infant feeding should consider how family supports and culturally-relevant coaching can help align multilevel transnational social networks with healthy infant feeding practices.

The Health and Economic Impact of Using a Sugar Sweetened Beverage Tax to Fund Fruit and Vegetable Subsidies in New York City: A Modeling Study

Low fruit and vegetable (FV) intake and high sugar-sweetened beverage (SSB) consumption are independently associated with an increased risk of developing cardiovascular disease (CVD). Many people in New York City (NYC) have low FV intake and high SSB consumption, partly due to high cost of fresh FVs and low cost of and easy access to SSBs. A potential implementation of an SSB tax and an FV subsidy program could result in substantial public health and economic benefits. We used a validated microsimulation model for predicting CVD events to estimate the health impact and cost-effectiveness of SSB taxes, FV subsidies, and funding FV subsidies with an SSB tax in NYC. Population demographics and health profiles were estimated using data from the NYC Health and Nutrition Examination Survey. Policy effects and price elasticity were derived from recent meta-analyses. We found that funding FV subsidies with an SSB tax was projected to be the most cost-effective policy from the healthcare sector perspective. From the societal perspective, the most cost-effective policy was SSB taxes. All policy scenarios could prevent more CVD events and save more healthcare costs among men compared to women, and among Black vs. White adults. Public health practitioners and policymakers may want to consider adopting this combination of policy actions, while weighing feasibility considerations and other unintended consequences.

A microbial causal mediation analytic tool for health disparity and applications in body mass index

Background: Emerging evidence suggests the potential mediating role of microbiome in health disparities. However, no analytic framework is available to analyze microbiome as a mediator between health disparity and clinical outcome, due to the unique structure of microbiome data, including high dimensionality, sparsity, and compositionality. Methods: Considering the modifiable and quantitative features of microbiome, we propose a microbial causal mediation model framework, SparseMCMM_HD, to uncover the mediating role of microbiome in health disparities, by depicting a plausible path from a non-manipulable exposure (e.g. race or region) to a continuous outcome through microbiome. The proposed SparseMCMM_HD rigorously defines and quantifies the manipulable disparity measure that would be eliminated by equalizing microbiome profiles between comparison and reference groups. Moreover, two tests checking the impact of microbiome on health disparity are proposed. Results: Through three body mass index (BMI) studies selected from the curatedMetagenomicData 3.4.2 package and the American gut project: China vs. USA, China vs. UK, and Asian or Pacific Islander (API) vs. Caucasian, we exhibit the utility of the proposed SparseMCMM_HD framework for investigating microbiome’s contributions in health disparities. Specifically, BMI exhibits disparities and microbial community diversities are significantly distinctive between the reference and comparison groups in all three applications. By employing SparseMCMM_HD, we illustrate that microbiome plays a crucial role in explaining the disparities in BMI between races or regions. 11.99%, 12.90%, and 7.4% of the overall disparity in BMI in China-USA, China-UK, and API-Caucasian comparisons, respectively, would be eliminated if the between-group microbiome profiles were equalized; and 15, 21, and 12 species are identified to play the mediating role respectively. Conclusions: The proposed SparseMCMM_HD is an effective and validated tool to elucidate the mediating role of microbiome in health disparity. Three BMI applications shed light on the utility of microbiome in reducing BMI disparity by manipulating microbial profiles.

Trends and disparities in diabetes and prediabetes among adults in the United States, 1999-2018

OBJECTIVE

The aims of the study were to describe the up-to-date trend of total, diagnosed, and undiagnosed diabetes and prediabetes, assess their associated disparities among population subgroups, and examine their relationship with sociodemographic factors among adults in the United States.

STUDY DESIGN

This was a cross-sectional study from a nationally representative sample of US adults (aged ≥20 years) who participated in the National Health and Nutrition Examination Survey.

METHODS

Diagnosed diabetes was defined as a self-reported previous diagnosis of diabetes by a physician or any other health professionals (other than during pregnancy). Undiagnosed diabetes was defined as elevated levels of fasting plasma glucose (≥126 mg/dL) or HbA1c (≥6.5%). Total diabetes included those who had either diagnosed or undiagnosed diabetes. Prediabetes was defined as an HbA1c level of 5.7%-6.4% or a fasting plasma glucose level of 100-125 mg/dL. All estimates were age standardized to the 2010 US census population for age groups 20-44, 45-64, and 65+ years. All analyses accounted for the complex survey design. Logistic regressions were used to conduct the analyses.

RESULTS

A total of 21,600 (mean, 47.2 years [SD, 14.7]) individuals were analyzed. From 1999 to 2018, the age-standardized prevalence increased significantly from 9.17% to 14.7% (difference, 5.52%; 95% confidence interval [CI], 2.69%-8.35%; P-trend <0.001) for total diabetes, increased from 6.15% to 11.0% (difference, 4.79%; 95% CI, 2.27%-7.32%; P-trend<0.001) for diagnosed diabetes and remained stable from 3.01% to 3.73% (difference, 0.72%; 95% CI, -0.47% to 1.91%; P-trend = 0.19) for undiagnosed diabetes. The age-standardized prevalence of prediabetes increased significantly from 29.5% to 48.3% (difference, 18.8%; 95% CI, 13.3%-24.4%; P-trend<0.001). Disparities persisted with higher prevalence among adults with obesity and populations that have been marginalized, including racial and ethnic minorities, low income, less educated Americans, and those living in food-insecure household.

CONCLUSIONS

The prevalence of diabetes and prediabetes increased significantly from 1999 to 2018 among US adults. There are substantial and persistent disparities among racial and ethnic minorities, populations experiencing socio-economic disadvantages, and adults with obesity.

Disparities in colorectal cancer screening among South Asians in New York City: a cross-sectional study

Despite improvements in colorectal cancer (CRC) screening in New York City (NYC) since the early 2000s, the degree to which disparities persist for specific Asian American subgroups has yet to be fully elucidated. The purpose of this study is to examine disparities in rates of timely colonoscopy screening among five racial/ethnic groups in NYC. We performed a retrospective cross-sectional analysis of combined 2014-2018 NYC Community Health Survey data. Prevalence estimates of timely colonoscopy screening (within the past 10 years) among individuals ≥ 50 years of age were calculated and presented overall (n = 24,288) and by socio-demographic variables. Racial/ethnic categories included White, Black, Hispanic, East Asian, and South Asian. Multivariable models examined socio-demographic and racial/ethnic predictors of timely colonoscopy screening. A trend analysis examined colonoscopy screening by race/ethnicity and year from 2012 to 2018 (n = 33,130). Age-adjusted prevalence of timely colonoscopy screening was lowest among Asian Americans (South Asian 61.1% and East Asian 65.9%) compared to Hispanics (71.3%), Blacks (70.2%), and Whites (68.6%). Adjustment by socio-demographics, including insurance status, further explained disparities for South Asians (adjusted risk ratio [RR] = 0.84, 95% CI = 0.73-0.97) compared to Hispanics; additionally, Whites (adjusted RR=0.88, 95% CI = 0.84-0.92) were less likely to have received a timely colonoscopy compared to Hispanics. Age, health insurance, poverty group, and education were significant predictors in adjusted regression. Results indicate that South Asians have not equally benefited from campaigns to increase colonoscopy screening in NYC. Our findings support the development of targeted, and linguistically and culturally adapted campaigns that facilitate access to health systems and leverage existing community assets and social support systems among South Asian populations.

Trends in Prediabetes Among Youths in the US From 1999 Through 2018

This survey study uses National Health and Nutrition Examination Survey data to assess trends in prediabetes among US youths from 1999 through 2018.

Assessing changes in the food retail environment during the COVID-19 pandemic: opportunities, challenges, and lessons learned

Background

COVID-19 mitigation strategies have had an untold effect on food retail stores and restaurants. Early evidence from New York City (NYC) indicated that these strategies, among decreased travel from China and increased fears of viral transmission and xenophobia, were leading to mass closures of businesses in Manhattan’s Chinatown. The constantly evolving COVID −19 crisis has caused research design and methodology to fundamentally shift, requiring adaptable strategies to address emerging and existing public health problems such as food security that may result from closures of food outlets.

Objective

We describe innovative approaches used to evaluate changes to the food retail environment amidst the constraints of the pandemic in an urban center heavily burdened by COVID-19. Included are challenges faced, lessons learned and future opportunities.

Methods

First, we identified six diverse neighborhoods in NYC: two lower-resourced, two higher-resourced, and two Chinese ethnic enclaves. We then developed a census of food outlets in these six neighborhoods using state and local licensing databases. To ascertain the status (open vs. closed) of outlets pre-pandemic, we employed a manual web-scraping technique. We used a similar method to determine the status of outlets during the pandemic. Two independent online sources were required to confirm the status of outlets. If two sources could not confirm the status, we conducted phone call checks and/or in-person visits.

Results

The final baseline database included 2585 food outlets across six neighborhoods.

Ascertaining the status of food outlets was more difficult in lower-resourced neighborhoods and Chinese ethnic enclaves compared to higher-resourced areas. Higher-resourced neighborhoods required fewer phone call and in-person checks for both restaurants and food retailers than other neighborhoods.

Conclusions

Our multi-step data collection approach maximized safety and efficiency while minimizing cost and resources. Challenges in remote data collection varied by neighborhood and may reflect the different resources or social capital of the communities; understanding neighborhood-specific constraints prior to data collection may streamline the process.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-12890-x.

COVID-19 and Asian Americans: Reinforcing the Role of Community-Based Organizations in Providing Culturally and Linguistically Centered Care

Introduction

Methods

Results

Discussion

Conclusion

Are recommended dietary patterns equitable?

OBJECTIVE

Dietary recommendations (DR) in the USA may be inadequate at improving diets in racial/ethnic minority communities and may require redesign of the systems driving their development over the long term. Meanwhile, cultural adaptation of evidence-based DR may be an important strategy for mitigating nutrition disparities, but less is known about the adaptability of these recommendations to meet the needs of diverse groups. We examined the content and origin of major DRs - aspects that provide context on their potential universality across populations and evaluated their potential for cultural adaptation.

DESIGN

Case studies of Dietary Approaches to Stop Hypertension (DASH), the Mediterranean diet (MD), the EAT-Lancet diet (EAT) and the NOVA classification system.

SETTING

United States.

PARTICIPANTS

Racial/ethnic minority populations.

RESULTS

Current DR differ in their origin/evolution but are similar in their reductionist emphasis on physical health. DASH has been successfully adapted for some cultures but may be challenged by the need for intensive resources; MD may be more beneficial if applied as part of a broader set of food procurement/preparation practices than as just diet alone; EAT-Lancet adaptation may not honor existing country-specific practices that are already beneficial to human and environmental health (e.g. traditional/plant-based diets); evidence for cultural adaptation is limited with NOVA, but classification of levels of food processing has potential for widespread application.

CONCLUSIONS

For DR to equitably support diverse populations, they must move beyond a Eurocentric or 'general population' framing, be more inclusive of cultural differences and honour social practices to improve diet and reduce disparities.

The Mutually Reinforcing Cycle Of Poor Data Quality And Racialized Stereotypes That Shapes Asian American Health

The Asian American health narrative reflects a long history of structural racism in the US and the complex interplay of racialized history, immigrant patterns, and policies regarding Asians in the US. Yet owing to systematic issues in data collection including missing or misclassified data for Asian Americans and practices that lead to indiscriminate grouping of unlike individuals (for example, Chinese, Vietnamese, and Bangladeshi) together in data systems and pervasive stereotypes of Asian Americans, the drivers and experiences of health disparities experienced by these diverse groups remain unclear. The perpetual exclusion and misrepresentation of Asian American experiences in health research is exacerbated by three racialized stereotypes-the model minority, healthy immigrant effect, and perpetual foreigner-that fuel scientific and societal perceptions that Asian Americans do not experience health disparities. This codifies racist biases against the Asian American population in a mutually reinforcing cycle. In this article we describe the poor-quality data infrastructure and biases on the part of researchers and public health professionals, and we highlight examples from the health disparities literature. We provide recommendations on how to implement systems-level change and educational reform to infuse racial equity in future policy and practice for Asian American communities.

Evaluation of a Diabetes Prevention Intervention for Korean American immigrants at Risk for Diabetes

Purpose

Despite the small but growing number of studies documenting the increasing prevalence of diabetes among Korean Americans, no culturally adapted interventions have been developed for Korean Americans at risk for diabetes. We evaluate the efficacy of a culturally tailored lifestyle intervention among Korean American immigrants at risk for diabetes in New York City (NYC).

Methods

Korean Americans at risk for diabetes were recruited into a culturally adapted, community health worker (CHW) intervention in NYC. Treatment group participants received 6 group sessions and 10 follow-up phone calls from CHWs over the 6-month period. Control participants received only the first session. Study outcomes included changes in weight, body mass index (BMI), blood pressure, physical activity (PA) and PA behaviors, nutrition behaviors, and diabetes knowledge. Paired t-tests and chi-square tests assessed group differences for each group for each outcome measure.

Results

The treatment group reported significant positive changes in recommended weekly PA, PA self-efficacy, PA barriers, nutrition self-efficacy, diabetes knowledge, weight, BMI, and systolic blood pressure compared with control participants. Generalized estimated equations models for repeated measures assessed change across time while adjusting for study arm, time point, and the interaction between study arm and time point. The intervention effect was significant for weekly moderate and vigorous PA, recommended weekly PA, PA self-efficacy, and diabetes knowledge.

Conclusions

Results suggest that a culturally adapted lifestyle intervention for Korean American immigrants at risk for diabetes have the potential to improve behaviors associated with cardiovascular disease outcomes and diabetes prevention. Further research among Korean Americans is warranted.

Material Hardship and Stress from COVID-19 in Immigrant Chinese American Families with Infants

Material hardship and stress, associated with poor infant outcomes, increased during the Coronavirus Disease 2019 pandemic. Chinese American families were vulnerable to racism-driven disparities. Little is known about maternal perceptions of pandemic impacts on their infants, family, and community. Purposive sampling of low-income Chinese American mothers (n = 25) with infants (1-15 months). Semi-structured qualitative interviews conducted in Mandarin, Cantonese, or English were audio-recorded, transcribed, and translated. Transcripts coded using applied thematic analysis in an iterative process of textual analysis until thematic saturation. Three themes emerged: (1) Heightened family hardship included financial strain, disruption of transnational childcare, experiences of racism; (2) Altered infant routines/developmental consequences included using protective equipment on infants, concerns about infant socio-emotional development; (3) Coping strategies included stockpiling essentials, adapting family diets. Strategies to mitigate disparities include expanding social needs screening, correcting misinformation, strengthening support networks, and including low-income Chinese Americans in these efforts.

Social Media Use and Misinformation Among Asian Americans During COVID-19

Social media has been crucial for seeking and communicating COVID-19 information. However, social media has also promulgated misinformation, which is particularly concerning among Asian Americans who may rely on in-language information and utilize social media platforms to connect to Asia-based networks. There is limited literature examining social media use for COVID-19 information and the subsequent impact of misinformation on health behaviors among Asian Americans. This perspective reviews recent research, news, and gray literature to examine the dissemination of COVID-19 misinformation on social media platforms to Chinese, Korean, Vietnamese, and South Asian Americans. We discuss the linkage of COVID-19 misinformation to health behaviors, with emphasis on COVID-19 vaccine misinformation and vaccine decision-making in Asian American communities. We then discuss community- and research-driven responses to investigate misinformation during the pandemic. Lastly, we propose recommendations to mitigate misinformation and address the COVID-19 infodemic among Asian Americans.

Disaggregating Asian Race Reveals COVID-19 Disparities Among Asian American Patients at New York City's Public Hospital System

OBJECTIVES

Data on the health burden of COVID-19 among Asian American people of various ethnic subgroups remain limited. We examined COVID-19 outcomes of people of various Asian ethnic subgroups and other racial and ethnic groups in an urban safety net hospital system.

METHODS

We conducted a retrospective analysis of 85 328 adults aged ≥18 tested for COVID-19 at New York City's public hospital system from March 1 through May 31, 2020. We examined COVID-19 positivity, hospitalization, and mortality, as well as demographic characteristics and comorbidities known to worsen COVID-19 outcomes. We conducted adjusted multivariable regression analyses examining racial and ethnic disparities in mortality.

RESULTS

Of 9971 Asian patients (11.7% of patients overall), 48.2% were South Asian, 22.2% were Chinese, and 29.6% were in other Asian ethnic groups. South Asian patients had the highest rates of COVID-19 positivity (30.8%) and hospitalization (51.6%) among Asian patients, second overall only to Hispanic (32.1% and 45.8%, respectively) and non-Hispanic Black (27.5% and 57.5%, respectively) patients. Chinese patients had a mortality rate of 35.7%, highest of all racial and ethnic groups. After adjusting for demographic characteristics and comorbidities, only Chinese patients had significantly higher odds of mortality than non-Hispanic White patients (odds ratio = 1.44; 95% CI, 1.04-2.01).

CONCLUSIONS

Asian American people, particularly those of South Asian and Chinese descent, bear a substantial and disproportionate health burden of COVID-19. These findings underscore the need for improved data collection and reporting and public health efforts to mitigate disparities in COVID-19 morbidity and mortality among these groups.

COVID-19, Social Determinants of Health, and Opportunities for Preventing Cardiovascular Disease: A Conceptual Framework

The COVID‐19 pandemic has disrupted the social, economic, and health care systems in the United States and shined a spotlight on the burden of disease associated with social determinants of health (SDOH). Addressing SDOH, while a challenge, provides important opportunities to mitigate cardiovascular disease incidence, morbidity, and mortality. We present a conceptual framework to examine the differential effects of the COVID‐19 pandemic on SDOH across demographically diverse populations, focusing on the short‐ and long‐term development of cardiovascular disease, as well as future research opportunities for cardiovascular disease prevention. The COVID‐19 pandemic exerted negative shifts in SDOH and cardiovascular risk factors (ie, smoking, body mass index, physical activity, dietary behavior, cholesterol, blood pressure, and blood sugar). For example, evidence suggests that unemployment and food insecurity have increased, whereas health care access and income have decreased; changes to SDOH have resulted in increases in loneliness and processed food consumption, as well as decreases in physical activity and hypertension management. We found that policy measures enacted to mitigate economic, social, and health issues inadequately protected populations. Low‐income and racial and ethnic minority communities, historically underserved populations, were not only disproportionately adversely affected by the pandemic but also less likely to receive assistance, likely attributable in part to the deep structural inequities pervasive in our society. Effective and culturally appropriate interventions are needed to mitigate the negative health impacts of historical systems, policies, and programs that created and maintain structural racism, especially for immigrants, racial and ethnic minorities, and populations experiencing social disadvantage.

Disparities in Awareness of Myocardial Infarction and Stroke Symptoms and Response Among United States- and Foreign-Born Adults in the National Health Interview Survey

Background

Atherosclerotic cardiovascular disease, defined as nonfatal myocardial infarction (MI), coronary heart disease death, or fatal or nonfatal stroke, is the leading cause of death in the United States. MI and stroke symptom awareness and response reduce delays in hospitalization and mortality.

Methods and Results

We analyzed cross‐sectional data from the 2014 and 2017 National Health Interview Surveys on US‐ and foreign‐born adults from 9 regions of birth (Europe, South America, Mexico/Central America/Caribbean, Russia, Africa, Middle East, Indian subcontinent, Asia, and Southeast Asia). The outcomes were recommended MI and stroke knowledge, defined as knowing all 5 symptoms of MI or stroke, respectively, and choosing “call 9‐1‐1” as the best response. We included 63 059 participants, with a mean age 49.4 years; 54.1% were women, and 38.5% had a high school education or less. Recommended MI and stroke knowledge were highest in US‐born people. In both 2014 and 2017, MI knowledge was lowest in individuals born in Asia (23.9%±2.5% and 32.1%±3.3%, respectively), and stroke knowledge lowest for the Indian subcontinent (44.4%±2.4% and 46.0%±3.2%, respectively). Among foreign‐born adults, people from Russia and Europe had the highest prevalence of recommended MI knowledge in 2014 (37.4%±5.4%) and 2017 (43.5%±2.5%), respectively, and recommended stroke knowledge was highest in people from Europe (61.0%±2.6% and 67.2%±2.5%). Improvement in knowledge was not significant in all groups between 2014 and 2017.

Conclusions

These findings suggest a disparity in MI and stroke symptom awareness and response among immigrants in the United States. Culturally tailored public health education and health literacy initiatives are needed to help reduce these disparities in awareness.

Contrasting the experiences for high- and low-income Asian Americans during COVID-19

There is a lack of quantitative research examining how the pandemic has affected individuals at different income levels. The Asian American population has the highest level of income inequality and serves as an excellent case study for examining differences in experience between income groups. A non-probability sample of 3084 Asian American adults living in the US was surveyed in June 2020, examining health-related behaviors and outcomes. Descriptive analyses and chi-squared statistics were conducted to identify differences in income groups (low, medium, high) among Asian Americans across regional subgroups (East, South, Southeast, Multiethnic) and disaggregated ethnicities (Chinese, Asian Indian, Japanese, and Filipino). In bivariable analyses, a significantly (p < 0.05) greater percentage of high-income individuals during the pandemic reported having enough money to buy the food they needed, a away to get to the store for food, and reported stores where they get food had everything they needed. High-income Chinese, Japanese, and Filipino individual also noted that, since the COVID-19 crisis, they are now working partially or fully from home. In the total sample, multivariable adjusted logistic regressions revealed medium- and low-income individuals to have low odds of working partially or fully from home (AOR:0.55, 95%CI:0.42-0.72), higher odds of not having enough money to buy the food they needed (AOR:3.54, 95%CI:1.43-11.81), and higher odds of eating less (AOR:1.58, 95%CI:1.14-2.22). These results highlight the importance of considering income distribution when characterizing disparities in health behaviors within racial/ethnic minority groups and underscore the need to bolster the infrastructure supporting low-income Asian Americans.

Immigrant Communities and COVID-19: Strengthening the Public Health Response

The COVID-19 pandemic has exposed the many broken fragments of US health care and social service systems, reinforcing extant health and socioeconomic inequities faced by structurally marginalized immigrant communities. Throughout the pandemic, even during the most critical period of rising cases in different epicenters, immigrants continued to work in high-risk-exposure environments while simultaneously having less access to health care and economic relief and facing discrimination. We describe systemic factors that have adversely affected low-income immigrants, including limiting their work opportunities to essential jobs, living in substandard housing conditions that do not allow for social distancing or space to safely isolate from others in the household, and policies that discourage access to public resources that are available to them or that make resources completely inaccessible. We demonstrate that the current public health infrastructure has not improved health care access or linkages to necessary services, treatments, or culturally competent health care providers, and we provide suggestions for how the Public Health 3.0 framework could advance this. We recommend the following strategies to improve the Public Health 3.0 public health infrastructure and mitigate widening disparities: (1) address the social determinants of health, (2) broaden engagement with stakeholders across multiple sectors, and (3) develop appropriate tools and technologies. (Am J Public Health. 2021;111(S3):S224-S231. https://doi.org/10.2105/AJPH.2021.306433).

The Impact of Structural Inequities on Older Asian Americans During COVID-19

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

COVID-19 Leads to Dramatic Changes in the Food Retail Environment in New York City: May-July 2020

A systematic assessment of the effect of COVID-19 on the food retail environment—an important determinant of health—has not been conducted. Our objective was to assess the impact of COVID-19 on closures of restaurants, food retail stores, and fresh produce vendors in New York City (NYC). We conducted a cross-sectional study following the peak of COVID-19 in six neighborhoods in NYC. Two Chinese ethnic neighborhoods and four higher/lower resourced comparison neighborhoods were selected a priori based on 14 sociodemographic indicators. The primary outcome was indefinite/temporary closures or absence of food businesses. Of 2720 food businesses identified, produce vendors and restaurants were more likely to close than food retail stores. A higher proportion of food businesses closed in Chinese ethnic neighborhoods vs. comparison neighborhoods. COVID-19 impacted food businesses in six NYC neighborhoods examined in this period, with the greatest effect observed for Chinese ethnic neighborhoods.

Structural Racism and Immigrant Health in the United States

Immigration has been historically and contemporarily racialized in the United States. Although each immigrant group has unique histories, current patterns, and specific experiences, racialized immigrant groups such as Latino, Asian, and Arab immigrants all experience health inequities that are not solely due to nativity or years of residence but also influenced by conditional citizenship and subjective sense of belonging or othering. Critical race theory and intersectionality provide a critical lens to consider how structural racism might uniquely impact the health of racialized immigrants, and to understand and intervene on the interlocking systems that shape these shared experiences and health consequences. We build on and synthesize the work of prior scholars to advance how society codifies structural disadvantages for racialized immigrants into governmental and institutional policies and how that affects health via three key pathways that emerged from our review of the literature: (1) formal racialization via immigration policy and citizenship status that curtails access to material and health resources and political and civic participation; (2) informal racialization via disproportionate immigration enforcement and criminalization including ongoing threats of detention and deportation; and (3) intersections with economic exploitation and disinvestment such as labor exploitation and neighborhood disinvestment. We hope this serves as a call to action to change the dominant narratives around immigrant health, provides conceptual and methodological recommendations to advance research, and illuminates the essential role of the public health sector to advocate for changes in other sectors including immigration policy, political rights, law enforcement, labor protections, and neighborhood investment, among others.

Changes in diet and food shopping behaviors among Asian-American adults due to COVID-19

Objective

COVID-19 has changed diet and food shopping behaviors, but a lack of disaggregated data by racial and ethnic subgroup makes it challenging to identify whether specific populations are experiencing greater challenges in safely securing an adequate food supply and engaging in healthy eating behaviors during the pandemic. Thus, the objective of this study was to measure such changes among Asian-American (AA) adults, overall and by ethnic subgroup.

Methods

Using a nationally derived nonprobability sample, 3084 AA adults were recruited, including 1737 East Asian, 570 South Asian, 587 Southeast Asian, and 124 multiethnic Asian adults. Participants completed an online survey with questions related to sociodemographics, health status, and diet and food shopping behaviors, including questions related to COVID-19. Logistic and linear regression were used to compare differences in survey responses by Asian ethnic subgroup.

Results

Compared to other AA subgroups, a higher percentage of Asian Indian (17%), Filipino (13%), Vietnamese (12%), and Korean (11%) adults reported no longer getting food resources they were receiving before COVID-19 (e.g., mobile meals, food pantry items). The percentage of Filipino (8%) and Vietnamese (7%) adults who reported not having enough money to buy food they need was also higher than other AA subgroups. And a higher percentage of Asian Indian adults (7%) reported not having a way to get to the food store since COVID-19 than other AA subgroups.

Conclusions

Previous work has not included disaggregated data, which may mask important disparities in food access and food insecurity among people hit hardest by COVID-19, such as Filipino, Vietnamese, and Asian Indian households.

Abstract MP03: The Health And Economic Impact Of Using A Sugar Sweetened Beverage Tax To Subsidize Fruit And Vegetable Purchase In New York City: A Modeling Study

Background: Both high sugar intake and low fruit and vegetable (FV) consumption increase the risk of coronary heart disease (CHD). Sugar-sweetened beverage (SSB) taxes can reduce sugar intake, whereas FV subsidies increase FV consumption. Several cities in the US have proposed an innovative policy that used the SSB tax revenue towards FV subsidies. It is unclear what the long-term health and economic impact this innovative policy could have in large cities such as New York City (NYC).

Objective: To project lifetime CHDs averted and costs if a penny-per-ounce SSB tax were used to subsidize FV incentives in NYC using a validated microsimulation model of cardiovascular disease.

Methods: We used the SHINE CVD model to compare the cost and CHD outcomes of a combination of SSB tax and FV subsidy policy with only SSB tax, only FV subsidy, and no policy from a healthcare sector perspective, respectively. Population demographics and health profiles were estimated using data from the 2013-2014 NYC Health and Nutrition Examination Survey. We simulated 10,000 adults starting at age 40. CHD risk factor trajectories and risk of incident CHD events were derived from six pooled prospective U.S. cohorts. Policy effects and price elasticity were derived from recent meta-analyses. SSB tax (penny-per-ounce) and FV subsidy were modeled to directly affect incidence rates of CHD events. Medical costs were included and discounted at 3%.

Results: Compared to the non-policy scenario over the simulated lifetime, the SHINE CVD model projected that the policy intervention with SSB taxes only would prevent 62 per 10,000 (95% CI: 57 - 67) CHD events at a penny-per-ounce rate, the intervention with FV subsidies only would prevent 28 per 10,000 (95% CI: 24-34), and the combined policy would prevent 91 CHD events (95% CI: 87 - 96). Total medical cost savings over the simulation period ranged from $22.5 million (95% CI: $21.5 - $23.6 million), $13.1 million (95% CI: $12.3 - $13.8million), and $37.9 million (95% CI: $36.5 - $39.4million), or $0.45 million/year, $0.27 million/year, $0.75 million/year for SSB taxes only, FV subsidies only, and the combined policy, respectively.

Conclusion: Using a computer simulation model, we showed how converting SSB tax revenues into FV subsidies could result in substantial benefits within the NYC population in terms of CHD outcomes and overall healthcare cost savings. Results from the SHINE CVD model may inform the ongoing policy-making efforts.

Dietary Policies and Programs: Moving Beyond Efficacy and Into "Real-World" Settings

Purpose: Dietary behaviors are key modifiable risk factors in averting cardiovascular disease (CVD), the leading cause of morbidity, mortality, and disability in the United States. Before investing in adoption and implementation, community-based organizations, public health practitioners, and policymakers—often working with limited resources—need to compare the population health impacts of different food policies and programs to determine priorities, build capacity, and maximize resources. Numerous reports, reviews, and policy briefs have synthesized across evidence-based policies and programs to make recommendations, but few have made a deep acknowledgment that dietary policies and programs are not implemented in a vacuum, and that “real-world” settings are complex, multifaceted and dynamic.

Methods: A narrative review was conducted of currently recommended evidence-based approaches to improving dietary behaviors, to describe and characterize applied and practical factors for consideration when adopting and implementing these dietary policies and programs across diverse settings.

Results: From the narrative review, six key considerations emerged to guide community-based organizations, public health practitioners, and policymakers on moving from the evidence base, toward implementation in local and community settings.

Conclusions: Considerations of “real-world” contextual factors are necessary and important when adopting and selecting evidence-based policies and programs to improve dietary behaviors and ultimately improve CVD outcomes. Promising approaches include those that apply community-partnered research and systems science to examine the equitable implementation of evidence-based dietary policies and programs.