Search

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.

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.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.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 HbAA 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-trend0.001) for total diabetes, increased from 6.15% to 11.0% (difference, 4.79%; 95% CI, 2.27%-7.32%; P-trend0.001) 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-trend0.001). 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.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.

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: 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.

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.

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.

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.

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.

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 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 )

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.

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.

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.

Introduction: The US Asian American (AA) population is projected to double by 2050, reaching ~43 million, and currently resides primarily in urban areas. Despite this, the geographic distribution of AA subgroup populations in US cities is not well-characterized, and social determinants of health (SDH) and health measures in places with significant AA/AA subgroup populations have not been described. Our research aimed to: 1) map the geographic distribution of AAs and AA subgroups at the city- and neighborhood- (census tract) level in 500 large US cities (population ≥66,000); 2) characterize SDH and health outcomes in places with significant AA or AA subgroup populations; and 3) compare SDH and health outcomes in places with significant AA or AA subgroup populations to SDH and health outcomes in places with significant non-Hispanic White (NHW) populations. Methods: Maps were generated using 2019 Census 5-year estimates. SDH and health outcome data were obtained from the City Health Dashboard, a free online data platform providing more than 35 measures of health and health drivers at the city and neighborhood level. T-tests compared SDH (unemployment, high-school completion, childhood poverty, income inequality, racial/ ethnic segregation, racial/ethnic diversity, percent uninsured) and health outcomes (obesity, frequent mental distress, cardiovas­cular disease mortality, life expectancy) in cities/neighborhoods with significant AA/AA subgroup populations to SDH and health outcomes in cities/neighborhoods with sig­nificant NHW populations (significant was defined as top population proportion quin­tile). We analyzed AA subgroups including Indian, Chinese, Filipino, Japanese, Korean, Vietnamese, and Other AA. Results: The count and proportion of AA/ AA subgroup populations varied sub­stantially across and within cities. When comparing cities with significant AA/AA subgroup populations vs NHW populations, there were few meaningful differences in SDH and health outcomes. However, when comparing neighborhoods within cities, areas with significant AA/AA subgroup vs NHW populations had less favorable SDH and health outcomes. Conclusion: When comparing places with significant AA vs NHW populations, city-level data obscured substantial variation in neighborhood-level SDH and health outcome measures. Our findings empha­size the dual importance of granular spatial and AA subgroup data in assessing the influence of SDH in AA populations. Ethn Dis. 2021;31(3):433-444; doi:10.18865/ed.31.3.433

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. Supplementary Information The online version contains supplementary material available at 10.1007/s10903-021-01230-7.

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.

There is growing evidence on the effect of face mask use in controlling the spread of COVID-19. However, few studies have examined the effect of local face mask policies on the pandemic. In this study, we developed a dynamic compartmental model of COVID-19 transmission in New York City (NYC), which was the epicenter of the COVID-19 pandemic in the USA. We used data on daily and cumulative COVID-19 infections and deaths from the NYC Department of Health and Mental Hygiene to calibrate and validate our model. We then used the model to assess the effect of the executive order on face mask use on infections and deaths due to COVID-19 in NYC. Our results showed that the executive order on face mask use was estimated to avert 99,517 (95% CIs 72,723–126,312) COVID-19 infections and 7978 (5692–10,265) deaths in NYC. If the executive order was implemented 1 week earlier (on April 10), the averted infections and deaths would be 111,475 (81,593–141,356) and 9017 (6446–11,589), respectively. If the executive order was implemented 2 weeks earlier (on April 3 when the Centers for Disease Control and Prevention recommended face mask use), the averted infections and deaths would be 128,598 (94,373–162,824) and 10,515 (7540–13,489), respectively. Our study provides public health practitioners and policymakers with evidence on the importance of implementing face mask policies in local areas as early as possible to control the spread of COVID-19 and reduce mortality. Supplementary Information The online version contains supplementary material available at 10.1007/s11524-021-00517-2.

ObjectiveThe 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.MethodsThirty-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.ResultsMean 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, pConclusionThe DRS can be a valuable tool for physicians to identify and reach Chinese Americans at risk of cardiometabolic disease.

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

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

Objective:The food retail environment is an important determinant of food access and the ability to achieve a healthy diet. However, immigrant communities may procure their food in different ways than the mainstream population owing to preferences for specific cultural products or limited English language proficiency. The objective of this analysis was to describe the grocery shopping patterns and behaviours of one of the largest immigrant groups in New York City, Chinese Americans – a group experiencing high poverty and cardio-metabolic disparities.Design:Cross-sectional survey data.Setting:Community-based sample.Participants:Self-identified Chinese Americans in the New York metropolitan area (n 239).Results:Three shopping patterns were identified: type 1: shopped weekly at an ethnic grocery store – and nowhere else; type 2: shopped weekly at a non-ethnic grocery store, with occasional shopping at an ethnic store and type 3: did not perform weekly shopping. Type 1 v. type 2 shoppers tended to have lower education levels (37·5 v. 78·0 % with college degree); to be on public insurance (57·6 v. 22·8 %); speak English less well (18·4 v. 41·4 %); be food insecure (47·2 v. 24·2 %; P < 0·01 for all) and to travel nearly two miles further to shop at their primary grocery store (β = −1·55; 95 % CI −2·81, −0·30).Discussion:There are distinct grocery shopping patterns amongst urban-dwelling Chinese Americans corresponding to demographic and sociocultural factors that may help inform health interventions in this understudied group. Similar patterns may exist among other immigrant groups, lending preliminary support for an alternative conceptualisation of how immigrant communities interact with the food retail environment.

OBJECTIVES: To examine racial/ethnic differences in type of SSB most frequently consumed and in correlates of youth sugar-sweetened beverage (SSB) intake. METHODS: Data were obtained from the National Health and Nutrition Examination Survey (NHANES), 2011–2016, for children and adolescents aged 5–17 years (n=6,507). The main outcome was SSB consumption (i.e., sodas, sweetened fruit drinks, nectars, sports and energy drinks, sweetened coffees and teas, enhanced waters). Mean and proportions of SSB intake were estimated accounting for complex sampling strategy and weighting. Multivariable regression models were developed for each race/ethnicity and age group. RESULTS: Two-thirds of children and adolescents reported consuming SSB on a given day. Among consumers, mean SSB consumption was greatest for Black children and White adolescents and lowest for Asian American children and adolescents. The most popular type of SSB consumed was sweetened fruit drinks among children and soda among adolescents, except among White and Mexican American children for whom soda and Black adolescents for whom sweetened fruit drinks were most popular. Female sex and water intake were negatively associated with SSB consumption across most races/ethnicities. Screen time, dentist visits, nativity, and guardian education were associated with SSB intake among a subset of races/ethnicities. CONCLUSIONS: Associations between covariates and SSB intake as well as types of beverages preferred vary by race/ethnicity, as such chronic disease policies should not be ‘one size fits all’. Targeted interventions for specific groups of vulnerable youths hold promise for further reducing SSB consumption, including directing efforts towards reducing sweetened fruit drinks for Black children.