Faculty Bibliography

BACKGROUND AND OBJECTIVES/OBJECTIVE:The rapidly aging and diversifying U.S. population is challenged by increases in prevalence of Alzheimer's disease (AD) and aging-related disorders. We conducted a scoping review to assess equitable inclusion of diverse older adult populations in aging research focused on National Institutes of Health (NIH)-sponsored research. RESEARCH DESIGN AND METHODS/METHODS:The scoping review was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA-Scr) Protocol. The search was limited to NIH-funded studies focusing on aging, AD and Alzheimer's disease-related dementias (ADRD) and included adults aged 55+. The priority populations and health disparities put forth by the NIA Health Disparities Framework serve as a model for guiding inclusion criteria and for interpreting the representation of these underrepresented groups, including racial ethnic minorities, socioeconomically disadvantaged, rural populations, groups with disabilities, and LGBTQ communities. RESULTS:Our search identified 1,177 records, of which 436 articles were included in the analysis. Inclusion of individuals with ADRD and mild cognitive impairment, racial ethnic minorities, rural populations, socioeconomically disadvantaged, groups with disabilities, and LGBTQ communities were poorly specified in most studies. Studies used multiple recruitment methods, conducting studies in community settings (59%) and hospitals/clinics (38%) most frequently. Incentives, convenience factors, and sustained engagement via community-based and care partners were identified as key strategies for improved retention. DISCUSSION AND IMPLICATIONS/CONCLUSIONS:This scoping review identified gaps in existing literature and aims for future work, including stronger research focus on, better inclusion of, and improved data collection and reporting of older adults from underrepresented groups.

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.

Introduction/UNASSIGNED:Community-based organizations (CBOs) have provided critical resources during the pandemic, particularly for marginalized communities, and are trusted liaisons who connect socially and linguistically isolated community members, such as the highly diverse Asian American population, to care during public health emergencies. Stereotypes such as the model minority myth have permeated public perception of Asian Americans' health status and health care access needs, fueling widespread belief that Asian Americans do not experience health disparities, and mask the high rates of coronavirus disease 2019 (COVID-19) infection, hospitalization, and mortality among Asian Americans. The unequal burden of COVID-19 on Asian American communities has largely remained absent from the public health and national discourse, with exceptions such as community voices that have directed news media coverage and leading roles of CBOs in offering culturally adapted, in-language programming on COVID-19 infection prevention and control. Methods/UNASSIGNED:CBOs and their staff are well-equipped with the cultural acuity, language capacity, and familiarity with local norms to improve structural gaps affecting health outcomes and support health care delivery. Results/UNASSIGNED:We discuss the roles and responsibilities of CBOs in strengthening the health care workforce and expanding community-clinic linkages and provide two case studies illustrating the efforts of two community organizations serving Asian American and immigrant communities, who have been disproportionally affected by the COVID-19 pandemic. Discussion/UNASSIGNED:CBOs are essential to supporting health service coordination and care delivery for structurally vulnerable populations, and are vital to sustaining the coordinated, multilevel public health response to improving community health. Conclusion/UNASSIGNED:Bolstering the current infrastructure to support CBOs is necessary to facilitating immediate responses to serve community needs.

Alzheimer's disease and related dementias (AD/ADRD) disparities exist in the rapidly growing and extremely heterogeneous Asian American and Native Hawaiian and Pacific Islander (NH/PI) ageing populations in the United States. Limited community-clinical resources supporting culturally competent and timely diagnosis exacerbate barriers to existing care services in these populations. Community-based participatory research or community-engaged research are proven community-academic research approaches that can support the development and implementation of community-focused programmes to maximise community benefit. The NYU Center for the Study of Asian American Health engaged our national and local community partners to gain a deeper understanding of AD/ADRD in this diverse and growing population, to develop a strategic community-engaged research agenda to understand, address and reduce AD/ADRD disparities among Asian American and NH/PI communities. Findings from an initial scoping review identified significant research gaps. We conducted a series of key informant interviews (n = 11) and a modified Delphi survey (n = 14) with Asian American and NH/PI community leaders and older adult service providers followed by a facilitated group discussion of survey findings to gain consensus on key priority research areas identified in the literature and to determine culturally and contextually appropriate approaches to support AD/ADRD prevention, early identification and treatment in Asian American and NH/PI communities. Future research and health education should focus on raising Asian American and NH/PI basic individual- and community-level awareness about AD/ADRD and leveraging existing community assets to integrate effective engagement strategies to access AD/ADRD services within the healthcare system.

OBJECTIVES/OBJECTIVE:This exploratory study examines workplace factors, sleep, sleep disorders, and safety among older (age 50 years and above) yellow taxi drivers in New York City (NYC) of South Asian descent. METHODS:Using street intercept methods, quantitative data was collected among yellow taxi drivers in NYC (n = 27) from January-March 2020. RESULTS:Among drivers, higher than normal sleepiness was identified in 33%, sleeping fewer than 7 hours on worknights work nights was reported by 52%, and 37% were at high risk for obstructive sleep apnea (OSA). Among drivers, 11% (n = 3) reported a motor vehicle accident in the past year and all drivers who reported an accident were at high risk for OSA. CONCLUSIONS:Findings from this hard-to-reach and understudied population revealed that most drivers did not report sufficient sleep on work nights. Results found over one-third of drivers had high OSA risk and drivers at high risk for OSA contributed to all reports of motor vehicle crashes.