Faculty Bibliography

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.

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.

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.

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/METHODS:Case studies of Dietary Approaches to Stop Hypertension (DASH), the Mediterranean diet (MD), the EAT-Lancet diet (EAT) and the NOVA classification system. SETTING/METHODS:United States. PARTICIPANTS/METHODS: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 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).

INTRODUCTION:Self-rated health has been extensively studied, but the utility of a similarly structured question to rate diet quality is not well characterized. This study aims to assess the relative validity of self-rated diet quality, compared with that of a validated diet quality measure (Healthy Eating Index-2015) and to examine the associations with cardiometabolic risk factors. METHODS:Analyses were conducted in 2020-2021 using cross-sectional data from the National Health and Nutrition Examination Survey, 2011-2018. Nonpregnant adults who responded to the question: How healthy is your overall diet? and provided 2 dietary recalls were eligible (n=16,913). Associations between self-rated diet quality (modeled as a 5-point continuous variable, poor=1 to excellent=5) and Healthy Eating Index-2015 scores and cardiometabolic risk factors were assessed by linear regression, accounting for the complex survey design and adjusting for demographic and lifestyle characteristics. RESULTS:. CONCLUSIONS:Self-rated diet quality was associated with Healthy Eating Index-2015 scores and cardiometabolic disease risk factors. This single-item assessment may be useful in time-limited settings to quickly and easily identify patients in need of dietary counseling to improve cardiometabolic health.

No brief dietary screeners are available that capture dietary consumption patterns of Asian Americans. The purpose of this article is to describe the cultural adaptation of the validated Dietary Screener Questionnaire (DSQ) for use by clinicians, researchers, and community-based partners seeking to understand and intervene on dietary behaviors among English-speaking Asian Americans, for the six largest Asian subgroups (Chinese, Filipino, Asian Indian, Vietnamese, Korean, Japanese) in the United States. This was mainly accomplished by adding culturally specific examples of foods to the questionnaire items via searching online databases and soliciting input from members of our community partner network representing each of the six largest Asian subgroups. Over half of the 26 items on the DSQ were modified to include more culturally specific foods. Developing high-quality tools that reflect the diversity of the U.S. population are critical to implement nutrition interventions that do not inadvertently widen health disparities.

To assess colorectal cancer (CRC) screening among South Asians (SAs) and explore the challenges and facilitators to CRC screening among SA subgroups in New York City (NYC). Fifty-one semi-structured in-depth interviews and surveys were conducted among SA immigrants in NYC. Qualitative results suggested challenges to CRC screening were related to socio-cultural factors, such as a lack of knowledge on CRC and CRC screening, and structural factors, such as cost and language. A physician referral was the most cited facilitator to CRC screening. Participants reported culturally and linguistically adapted education and information on CRC and CRC screening would help to overcome noted challenges. Our findings support the development of targeted, linguistically and culturally adapted campaigns for this population that facilitate access to health systems and leverage natural community assets and social support systems.