Faculty Bibliography

BACKGROUND:Community-based needs assessments are instrumental to address gaps in data collection and reporting, as well as to guide research, policy, and practice decisions to address health disparities in under-resourced communities. OBJECTIVES:The New York University Center for the Study of Asian American Health collaboratively developed and administered a large-scale health needs assessment in diverse, low-income Asian American and Pacific Islander communities in New York City and three U.S. regional areas using an in-person or web-based, community-engaged approach. METHODS:Community-engaged processes were modified over the course of three survey rounds, and findings were shared back to communities of interest using community preferred channels and modalities. LESSONS LEARNED:Sustaining multiyear, on-the-ground engagement to drive community research efforts requires active bidirectional communication and delivery of tangible support to maintain trust between partners. CONCLUSIONS:Findings to facilitate community health programming and initiatives were built from lessons learned and informed by new and existing community-based partners.

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.

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

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.

PURPOSE/OBJECTIVE: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/CONCLUSIONS: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.

Academic and community investigators conducting community-engaged research (CEnR) are often met with challenges when seeking Institutional Review Board (IRB) approval. This scoping review aims to identify challenges and recommendations for CEnR investigators and community partners working with IRBs. Peer-reviewed articles that reported on CEnR, specified study-related challenges, and lessons learned for working with IRBs and conducted in the United States were included for review. Fifteen studies met the criteria and were extracted for this review. Four challenges identified (1) Community partners not being recognized as research partners (2) Cultural competence, language of consent forms, and literacy level of partners; (3) IRBs apply formulaic approaches to CEnR; & (4) Extensive delays in IRB preparation and approval potentially stifle the relationships with community partners. Recommendations included (1) Training IRBs to understand CEnR principles to streamline and increase the flexibility of the IRB review process; (2) Identifying influential community stakeholders who can provide support for the study; and (3) Disseminating human subjects research training that is accessible to all community investigator to satisfy IRB concerns. Findings from our study suggest that IRBs can benefit from more training in CEnR requirements and methodologies.

Improving race/ethnicity data quality is imperative to ensuring underserved populations are represented in datasets used to identify health disparities and inform healthcare policy. We performed a scoping review of methods that retrospectively improve race/ethnicity classification in secondary datasets. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, searches were conducted in MEDLINE, Embase and Web of Science Core Collection 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, including: method type used for race/ethnicity classification; races/ethnicities targeted for classification; publication year; method inputs; reference population (if applicable); target population; and whether the article included a validation process. Six main method types for improving race/ethnicity 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%). Eighty-six articles (72%) included some form of validation evaluation. We discuss the strengths and limitations of different method types and potential harms of identified methods. We recommend the need for innovative methods to better identify racial/ethnic subgroups and further validation studies. Accurately collecting and reporting disaggregated data by race/ethnicity is critical to address the systematic missingness of relevant demographic data that can erroneously guide policymaking and hinder the effectiveness of healthcare practices and intervention.

INTRODUCTION:Reported anti-Asian discrimination has been on the rise since the COVID-19 pandemic. Nevertheless, limited research addresses the health impact of perceived anti-Asian racism on Asian Americans, especially among older adults, during COVID-19. To address the gap, we examined how the novel coronavirus pandemic affected Korean American older adults, one of the largest Asian subgroups. Specifically, this study addressed the magnitude of racism or discrimination related to the pandemic and impact of anti-Asian racism on negative mental health symptoms among Korean American older adults and their caregivers. METHODS:We used survey data collected from 175 Korean American older adults with probable dementia and their primary caregivers (female = 62%, mean age = 71 years) who went through eligibility screening for an ongoing randomized controlled trial involving dyads in the Baltimore-Washington and the New York Metropolitan areas (ClinicalTrials.gov Identifier: NCT03909347). RESULTS:Nearly a quarter of the survey sample reported they were fearful for their safety due to anti-Asian racism related to the pandemic. Additionally, 47% of the respondents indicated changes to routine activities due to anti-Asian racism or discrimination related to COVID-19. The most common changes included avoiding walking alone or physical activities outside, followed by avoiding public transportation or leaving the house to go to any public places such as grocery stores, churches, or schools, not carrying out usual social activities, and avoiding going to health care appointments. Multinomial logistic regression revealed that people who reported changes to routine activities were at least five times more likely (adjusted odds ratio = 5.017, 95% confidence interval = 1.503, 16.748) to report negative mental health symptoms than those who did not. Being fearful for their own safety was not associated with experiencing negative mental health symptoms in the survey sample. DISCUSSION:Study findings indicate that the increased reporting of anti-Asian racism during the COVID-19 pandemic has substantially affected Korean American older adults and their caregivers. The mechanism by which changes to routine activities is related to negative mental health symptoms is unclear, future research is needed to elucidate this pathway. Furthermore, our findings highlight the importance of identifying multi-level strategies to raise awareness of and to mitigate the reported surge of racism.