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Reflecting their commitment to advancing health equity, the Cancer Prevention and Control Research Network (CPCRN) established a Health Equity Workgroup to identify and distill guiding principles rooted in health equity, community-engaged participatory research (CBPR), social determinants of health, and racial equity frameworks to guide its collective work. The Health Equity Workgroup utilized a multi-phase, participatory consensus-building approach to: (1) identify recurrent themes in health and racial equity frameworks; (2) capture perspectives on and experiences with health equity research among CPCRN members through an online survey; (3) engage in activities to discuss and refine the guiding principles; and (4) collect case examples of operationalizing equity principles in cancer research. Representatives from all CPCRN centers endorsed nine core principles to guide the Network’s strategic plan: (1) Engage in power-sharing and capacity building with partners; (2) Address community priorities through community engagement and co-creation of research; (3) Explore and address the systems and structural root causes of cancer disparities; (4) Build a system of accountability between research and community partners; (5) Establish transparent relationships with community partners; (6) Prioritize the sustainability of research benefits for community partners; (7) Center racial equity in cancer prevention and control research; (8) Engage in equitable data collection, analysis, interpretation, and dissemination practices; and (9) Integrate knowledge translation, implementation, and dissemination into research plans. Dissemination products, such as toolkits and technical assistance workshops, reflecting these principles will foster knowledge transfer to intentionally integrate health and racial equity principles in cancer prevention and control research.

OBJECTIVES: 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.

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.

Colorectal cancer screening has increased substantially in New York City in recent years. However, screening uptake measured by telephone surveys may not fully capture rates among underserved populations. We measured screening completion within 1 year of a primary care visit among previously unscreened patients in a large urban safety-net hospital and identified sociodemographic and health-related predictors of screening.We identified 21,256 patients ages 50 to 75 who were seen by primary care providers (PCP) in 2014, of whom 14,425 (67.9%) were not up-to-date with screening. Because PCPs facilitate the majority of screening, we compared patients who received screening within 1 year of an initial PCP visit to those who remained unscreened using multivariable logistic regression.Among patients not up-to-date with screening at study outset, 11.5% (1,658 patients) completed screening within 1 year of a PCP visit. Asian race, more PCP visits, and higher area-level income were associated with higher screening completion. Factors associated with remaining unscreened included morbid obesity, ever smoking, Elixhauser comorbidity index of 0, and having Medicaid/Medicare insurance. Age, sex, language, and travel time to the hospital were not associated with screening status. Overall, 39.9% of patients were up-to-date with screening by 2015.In an underserved urban population, colorectal cancer screening disparities remain, and overall screening uptake was low. Because more PCP visits were associated with modestly higher screening completion at 1 year, additional community-level education and outreach may be crucial to increase colorectal cancer screening in underserved populations.

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.

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.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.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.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.Bolstering the current infrastructure to support CBOs is necessary to facilitating immediate responses to serve community needs.

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).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. PairedThe 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.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.

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 )

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.

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.

In the DIMOSIC (DIfferent MOdels, Same Initial Conditions) project, forecasts from different global medium-range forecast models have been created based on the same initial conditions. The dataset consists of 10-day deterministic forecasts from seven models and includes 122 forecast dates spanning one calendar year. All forecasts are initialized from the same ECMWF operational analyses to minimize the differences due to initialization. The models are run at or near their respective operational resolutions to explore similarities and differences between operational global forecast models. The main aims of this study are: (1) evaluate the forecast skill and how it depends on model formulation, (2) assess systematic differences and errors at short lead times, (3) compare multi-model ensemble spread to model uncertainty schemes, and (4) identify models that generate similar solutions. Our results show that all models in this study are capable of producing high-quality forecasts given a high-quality analysis. But at the same time we find a large variety in model biases, both in terms of temperature errors and precipitation. We are able to identify models whose forecasts are more similar to each other than they are to those of other systems, due to the use of similar model physics packages. However, in terms of multi-model ensemble spread, our results also demonstrate that forecast sensitivities to different model formulations skill are substantial. We therefore believe that the diversity in model design that stems from parallel development efforts at global modeling centers around the world remains valuable for future progress in the numerical weather prediction community.

Background: Frontotemporal dementia (FTD) syndrome is a genetically heterogeneous group of diseases. Pathogenic variants in the chromosome 9 open reading frame 72 (C9orf72), microtubule-associated protein tau (MAPT), and progranulin (GRN) genes are mainly associated with genetic FTD in Caucasian populations. Objective: To understand the genetic background of Korean patients with FTD syndrome. Methods: We searched for pathogenic variants of 52 genes related to FTD, amyotrophic lateral sclerosis, familial Alzheimer’s disease, and other dementias, and hexanucleotide repeats of the C9orf72 gene in 72 Korean patients with FTD using whole exome sequencing and the repeat-primed polymerase chain reaction, respectively. Results: One likely pathogenic variant, p.G706R of MAPT, in a patient with behavioral variant FTD (bvFTD) and 13 variants of uncertain significance (VUSs) in nine patients with FTD were identified. Of these VUSs, M232R of the PRNP gene, whose role in pathogenicity is controversial, was also found in two patients with bvFTD. Conclusions: These results indicate that known pathogenic variants of the three main FTD genes (MAPT, GRN, and C9orf72) in Western countries are rare in Korean FTD patients.

Background: Indians are among the most under-screened Asian American subgroups, but there is limited data for this population. Methods: Using 2003-2016 the New York City Community Health Survey, we examined the association between sociodemographic and medical factors and up-to-date colonoscopy (defined as colonoscopy within the last 10 years) in Asian Indians using logistic regression over four time periods: 2003-2008, 2009-2012, 2013-2014, 2015-2016. Results: On multivariable analysis, only language was associated with colonoscopy uptake in more than one time period. Compared to participants who preferred English, those who preferred an “Other” language were less likely to be up-to-date on colonoscopy in 2003-2008 (OR 0.15, 95% CI 0.04-0.66), while those who preferred an Indian language were less likely to have been up-to-date in 2013-2014 (OR 0.12, 95% CI 0.02-0.66). Conclusions: Among Asian Indians living in New York City, language appeared to be an important predictor of colonoscopy use and colorectal cancer screening.

Since the 1980s, community policing has been embraced as the dominant police strategy. Thompson and Jenkins (2013) estimated that 97% of an officer’s time is spent communicatively interacting with the public, indicating a strong incentive to study how communication affects those involved in police interaction. Utilizing communication accommodation theory, this study examines the relationship between accommodation, trust, and overall perceptions of police. An experiment using hypothetical situations was conducted with 257 students at a large, southeastern university in the USA. The data indicates that accommodative behavior can lead suspects to be more trusting of an individual police officer but did not significantly affect their overall perceptions of police officers. There were mixed results related to the effects of consumption of crime television shows indicating a complex relationship between media representation, officer behavior, and trust. We argue that to improve communication between officers and suspects, we need to look beyond the community policing principle, and examine the key communication behaviors that help officers build trust with suspects and more generally in their communities.

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.

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.

Background and Objectives 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 The scoping review was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses 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 and older. The priority populations and health disparities put forth by the National Institute on Aging 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 lesbian, gay, bisexual, transgender, and queer or questioning (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 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.

Given the acknowledged lack of success in Alzheimer’s disease (AD) drug development over the past two decades, the objective of this review was to derive key insights from the myriad failures to inform future drug development. A systematic and exhaustive review was performed on all failed AD compounds for dementia (interventional phase II and III clinical trials from ClinicalTrials.gov) from 2004 to the present. Starting with the initial ∼2,700 AD clinical trials, ∼550 trials met our initial criteria, from which 98 unique phase II and III compounds with various mechanisms of action met our criteria of a failed compound. The two recent reported phase III successes of aducanumab and oligomannate are very encouraging; however, we are awaiting real-world validation of their effectiveness. These two successes against the 98 failures gives a 2.0% phase II and III success rate since 2003, when the previous novel compound was approved. Potential contributing methodological factors for the clinical trial failures were categorized into 1) insufficient evidence to initiate the pivotal trials, and 2) pivotal trial design shortcomings. Our evaluation found that rational drug development principles were not always followed for AD therapeutics development, and the question remains whether some of the failed compounds may have shown efficacy if the principles were better adhered to. Several recommendations are made for future AD therapeutic development. The whole database of the 98 failed compounds is presented in the Supplementary Material.

Objective: Although the fastest growing mi­nority group, Asian Americans receive little attention in mental health research. More­over, aggregated data mask further diversity within Asian Americans. This study aimed to examine depression risk by detailed Asian American subgroup, and further assess de­terminants within and between three Asian ethnic subgroups. Methods: Needs assessment surveys were collected in 16 Asian American subgroups (six Southeast Asian, six South Asian, and four East Asian) in New York City from 2013-2016 using community-based sampling strategies. A final sample of N=1,532 com­pleted the PHQ-2. Bivariate comparisons and multivariable logistic models explored differences in depression risk by subgroup. Results: Southeast Asians had the greatest depression risk (19%), followed by South Asians (11%) and East Asians (9%). Among Southeast Asians, depression risk was associ­ated with lacking health insurance (OR=.2, 95% CI: 0-.6), not having a provider who speaks the same language (OR=3.2, 95% CI: 1.3-8.0), and lower neighborhood social cohesion (OR= .94, 95% CI: .71-.99). Among South Asians, depression risk was associated with greater English proficiency (OR=3.9, 95% CI: 1.6-9.2); and among East Asians, depression risk was associated with ≤ high school education (OR=4.2, 95% CI: 1.2-14.3). Additionally, among Southeast Asians and South Asians, the high­est depression risk was associated with high levels of discrimination (Southeast Asian: OR=9.9, 95% CI: 1.8-56.2; South Asian: OR=7.3, 95% CI: 3.3-16.2). Conclusions: Depression risk and deter­minants differed by Asian American ethnic subgroup. Identifying factors associated with depression risk among these groups is key to targeting limited public health resources for these underserved communities. Ethn Dis. 2020;30(4):553-562; doi:10.18865/ed.30.4.553