Perspective: Promoting Healthy Aging through Nutrition: A Research Centers Collaborative Network Workshop Report.

Within 20 y, the number of adults in the United States over the age of 65 y is expected to more than double and the number over age 85 y is expected to more than triple. The risk for most chronic diseases and disabilities increases with age, so this demographic shift carries significant implications for the individual, health care providers, and population health. Strategies that delay or prevent the onset of age-related diseases are becoming increasingly important. Although considerable progress has been made in understanding the contribution of nutrition to healthy aging, it has become increasingly apparent that much remains to be learned, especially because the aging process is highly variable. Most federal nutrition programs and nutrition research studies define all adults over age 65 y as "older" and do not account for physiological and metabolic changes that occur throughout older adulthood that influence nutritional needs. Moreover, the older adult population is becoming more racially and ethnically diverse, so cultural preferences and other social determinants of health need to be considered. The Research Centers Collaborative Network sponsored a 1.5-d multidisciplinary workshop that included sessions on dietary patterns in health and disease, timing and targeting interventions, and health disparities and the social context of diet and food choice. The agenda and presentations can be found at https://www.rccn-aging.org/nutrition-2023-rccn-workshop. Here we summarize the workshop's themes and discussions and highlight research gaps that if filled will considerably advance our understanding of the role of nutrition in healthy aging.

Making Oneself "Fit": Community Perspectives on Disaggregated Race and Ethnicity Data Collection and Reporting in Healthcare Settings.

Patient race/ethnicity data collection in most U.S. health systems abide by federal standards, determined by the federal Office of Management and Budget. Yet, decades of research show that reliance on these categories alone limits understanding of within-group health disparities, systematically erasing key groups from health data. Because granular race/ethnicity data is complex and patients may be hesitant to disclose this personal information, it is important for health leaders to consider community perspectives when making decisions about race/ethnicity data procedures. As such, this study uses community focus groups to understand: (1) how individuals representing different racial/ethnic identities perceive the collection of race/ethnicity in healthcare settings; (2) differences in opinions between disaggregated race/ethnicity data collection instruments and those using federal standards; and (3) recommended practices for collecting race/ethnicity from patients. Participants self-selected into 13 focus groups and one key informant interview based on the race/ethnicity with which they most closely identified. Audio recordings from these groups were transcribed and evaluated using thematic content analysis. Among the 83 total participants in this study, there was a strong preference for more flexible and specific options for self-identifying race/ethnicity in healthcare settings. Participants also felt comfortable disclosing granular race/ethnicity to health providers but expressed discomfort with disclosing this information for other purposes. Recommendations for healthcare leaders include ensuring patients receive detailed communication about race/ethnicity data use and purpose, allowing multiple category selection, keeping the list of disaggregated response options short so as to not overwhelm patients, and providing a free text option to ensure inclusivity.

Turning the Health Equity Lens to Diversity in Asian American Health Profiles.

The monolithic misrepresentation of Asian American (AsAm) populations has maintained assumptions that AsAm people are not burdened by health disparities and social and economic inequities. However, the story is more nuanced. We critically review AsAm health research to present knowledge of AsAm health profiles from the past two decades and present findings and opportunities across three topical domains: (a) general descriptive knowledge, (b) factors affecting health care uptake, and (c) effective interventions. Much of the literature emphasized underutilization of health care services; low knowledge and awareness among AsAms about risk factors, prevention, diagnosis, and treatment; inadequate efforts to improve language access, provider-patient communication, and trust; and the critical roles of community- and faith-based organizations and leaders in health promotion initiatives. Future opportunities for AsAm health research will require adoption of and significant investment in community-engaged research infrastructure to increase representation, funding, and research innovation for AsAm communities. Expected final online publication date for the Annual Review of Public Health, Volume 45 is April 2024. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

Dairy product consumption and lung cancer risk: A prospective analysis.

BACKGROUND & AIM: Current evidence on prospective associations between dairy product, dairy fat and lactose intakes and lung cancer risk is limited and inconsistent. We conducted a prospective analysis of associations of lung cancer risk with dairy product intakes in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial (PLCO) cohort. METHODS: Pre-diagnostic dairy product intake was assessed through a validated Diet History Questionnaire. All incident lung cancer cases were pathologically verified. Multivariable Cox regression was used to calculate hazard ratios (HR) and 95% confidence intervals (CI) for associations of lung cancer risk with intakes of total, full-fat, low-fat dairy, fermented or non-fermented dairy products; milk fat content preference; and intakes of total and saturated fats and lactose from dairy products. RESULTS: Among 101,709 adults (mean age of 65.5 years), a total of 1583 lung cancer cases were identified during 1,167,239 person-years of follow up. Mean total dairy product intake was 156 g/1000 kilocalories (kcal), including 20 g/1000 kcal from fermented dairy products. Total dairy intake was not associated with lung cancer risk (HR [95% CI] = 1.03 [0.89-1.18]) comparing the highest quartile with the lowest. Fermented dairy intake was inversely associated with lung cancer risk (0.85 [0.72-0.99]). In contrast, there were no statistically significant associations with low-fat, full-fat or non-fermented dairy product intakes. The preference of whole milk when consuming milk as beverage was associated with a higher risk of lung cancer than the preference of <0.5% fat milk (1.24 [1.03-1.49]). Total fat, saturated fat and lactose intakes from dairy products each were not associated with lung cancer risk. CONCLUSIONS: Our results suggest an inverse association of lung cancer risk with fermented dairy intake and a positive association with the whole milk preference in a US population. Future studies exploring underlying molecular mechanisms are warranted.

Identifying opportunities for collective action around community nutrition programming through participatory systems science.

PURPOSE: To apply principles of group model building (GMB), a participatory systems science approach, to identify barriers and opportunities for collective impact around nutrition programming to reduce cancer risk for immigrant communities in an urban environment. METHODS: We convened four in-person workshops applying GMB with nine community partners to generate causal loop diagrams (CLDs)-a visual representation of hypothesized causal relationships between variables and feedback structures within a system. GMB workshops prompted participants to collaboratively identify programmatic goals and challenges related to (1) community gardening, (2) nutrition education, (3) food assistance programs, and (4) community-supported agriculture. Participants then attended a plenary session to integrate findings from all workshops and identify cross-cutting ideas for collective action. RESULTS: Several multilevel barriers to nutrition programming emerged: (1) food policies center the diets and practices of White Americans and inhibit culturally tailored food guidelines and funding for culturally appropriate nutrition education; (2) the lack of culturally tailored nutrition education in communities is a missed opportunity for fostering pride in immigrant food culture and sustainment of traditional food practices; and (3) the limited availability of traditional ethnic produce in food assistance programs serving historically marginalized immigrant communities increases food waste and worsens food insecurity. CONCLUSION: Emergent themes coalesced around the need to embed cultural tailoring into all levels of the food system, while also considering other characteristics of communities being reached (e.g., language needs). These efforts require coordinated actions related to food policy and advocacy, to better institutionalize these practices within the nutrition space.

Modes of COVID-19 Information and Vaccine Hesitancy Among Asian Americans: The Moderating Role of Exposure to Cyberbullying.

Introduction: : COVID-19 vaccination is an important public health intervention to curb the pandemic's magnitude and spread, and racial discrimination is a key predictor of COVID-19 preventive behavior, vaccine hesitancy, and uptake. This study evaluated the association of vaccine hesitancy with various modes of information on COVID-19 (i.e., online, social media) and the moderating role of cyberbullying among Asian Americans. Methods: : We used population-weighted data from the nationwide Asian American & Native Hawaiian/Pacific Islander COVID-19 Needs Assessment Survey, which was conducted from January to April 2021 (unweighted n=3,127). We examined the association of various modes of COVID-19 information and vaccine hesitancy, moderated by exposure to cyberbullying. Results: : In general, 16% of Asian Americans reported vaccine hesitancy; 26% reported experiencing cyberbullying. Asian Americans reported receiving the majority of COVID-19 information from online sources (75%) and social media (52%). In unadjusted models, receiving information online (OR=0.46, 95%CI=0.33, 0.62, p<.001), via social media (OR=0.80, 95%CI=0.52, 0.93, p<.05), and via broadcast (OR=0.60, 95%CI=0.44, 0.81, p<.001) were significantly associated with a lower vaccine hesitancy. However, reporting any cyberbullying was associated with increased vaccine hesitancy (OR=1.39, 95%CI=1.02, 1.90, p<.05). The protective effects for COVID-19 information modes remained when accounting for health and sociodemographic factors, while the effect of cyberbullying was no longer statistically significant. Cyberbullying moderated the protective effect of broadcast information only, so those who received information via broadcast and reported experiencing cyberbullying had similar odds of vaccine hesitancy compared to those who did not receive information via broadcast. Conclusions: : Online, social media, and broadcast remain important sources of information about COVID-19 for Asian Americans; however, experiencing cyberbullying can reduce the effectiveness of these sources in the uptake of the vaccine. COVID-19 information promotion strategies for Asian Americans must account for the role of cyberbullying in social media campaigns.

Methods for retrospectively improving race/ethnicity data quality: a scoping review.

Improving race and ethnicity (hereafter, race/ethnicity) data quality is imperative to ensure underserved populations are represented in data sets used to identify health disparities and inform health care policy. We performed a scoping review of methods that retrospectively improve race/ethnicity classification in secondary data sets. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, searches were conducted in the MEDLINE, Embase, and Web of Science Core Collection databases 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. Six main method types for improving race/ethnicity data 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%). Some form of validation evaluation was included in 86 articles (72%). We discuss the strengths and limitations of different method types and potential harms of identified methods. Innovative methods are needed to better identify racial/ethnic subgroups and further validation studies. Accurately collecting and reporting disaggregated data by race/ethnicity are critical to address the systematic missingness of relevant demographic data that can erroneously guide policymaking and hinder the effectiveness of health care practices and intervention.

Socioeconomic Inequities in Vaccine Hesitancy Among Native Hawaiians and Pacific Islanders.

Purpose: COVID-19 vaccine hesitancy exists in communities of color who are disproportionately impacted by COVID-19. In many states, Native Hawaiians and Pacific Islanders (NHs/PIs) experience the highest rates of COVID-19 confirmed cases and mortality among U.S. ethnic/racial groups. National trends regarding vaccine hesitancy among NHs/PIs are currently lacking. Methods: Data were derived from the Asian American and NH/PI COVID-19 Needs Assessment Project, a national survey conducted during January-April 2021. The final analytic sample included 868 NH/PI adults. Logistic regression analyses were conducted to estimate odds ratios for vaccine hesitancy. Results: Vaccine hesitancy ranged from 23% among Other PIs to 56.3% among Tongan adults. Younger adults (18-24 and 25-44 years), those with lower educational attainment, and those with lower income were more vaccine hesitant. Overall, education and income showed a strong association with vaccine hesitancy in bivariate logistic models. However, the associations between vaccine hesitancy and education and income varied by NH/PI groups. NHs, Samoans, and Multiethnic NHs/PIs showed the most consistent associations between the socioeconomic position variables and vaccine hesitancy. Conclusions: The examination of vaccine hesitancy among NHs/PIs follows the socioeconomic gradient for some ethnic groups but not others. More studies are needed to determine what other socioeconomic indicators may be associated with health among specific NH/PI ethnic groups. Policy Implications: Reforms are needed to overcome structural racism underlying NH/PI evidence production, which currently renders NHs/PIs invisible. Innovative solutions based on successful community efforts can help deconstruct racist data inequities experienced by NHs/PIs.

Functional Limitations and Physical Health in Community-Dwelling Medicare Advantage Beneficiaries: Variation by Race and Hispanic Subgroup.

Objectives: The objective is to examine racial and ethnic heterogeneity in older adults' functional limitations and physical health. Methods: Data were from 2011 to 2015 Health Outcomes Survey of Medicare Advantage beneficiaries 65 and older (N = 828,946). Outcomes were Physical Component Summary (PCS) scores and need for assistance with activities of daily living (ADLs). Six non-Hispanic racial groups and five Hispanic subgroups were analyzed. Regression models adjusted for sociodemographic and health characteristics. Results: White and Asian respondents had the lowest unadjusted ADL difficulty rates and highest PCS scores. In adjusted analyses, Cuban respondents had the highest PCS scores and lowest rates of any ADL difficulty; White respondents had the lowest rates of specific ADL difficulties. Native Hawaiian or other Pacific Islander and multiple Hispanic respondents had the highest ADL difficulty rates. Discussion: Both the healthiest and highest need subgroups of Medicare Advantage beneficiaries were Hispanic. Understanding racial and ethnic subgroup differences may help target interventions to prevent or aid with functional limitations.

Cardiovascular Disease and Health-Related Quality of Life Among Asian American, Native Hawaiian and Pacific Islander Older Adults.

Objectives: Assess the relationship between cardiovascular disease (CVD) and health-related quality of life (HRQOL) among Asian American, Native Hawaiian, and Pacific Islander (NH/PI) compared to white older adults. Methods: Data were from the 2011-2015 Health Outcomes Survey. HRQOL was assessed using the Veterans RAND 12-Item Survey, composed of physical (PCS) and mental component scores (MCS). Lower scores represent worse health. Multivariate regression was conducted to estimate PCS and MCS mean score differences related to self-reported CVD (coronary artery disease, congestive heart failure, myocardial infarction, other heart conditions, stroke) and race/ethnicity. Results: There were marked differences in PCS and MCS scores by disaggregated Asian American and NH/PI subgroups. After adjustment, Asian American and NH/PI older adults had better PCS but worse MCS than white older adults. Race/ethnicity moderated the relationship between CVD and HRQOL. Discussion: Asian American and NH/PI older adults with CVD had poorer mental health compared to their white counterparts.

Key recommendations from the 2021 "inclusion of older adults in clinical research" workshop.

Older adults are often underrepresented in clinical research, even though older adults are major consumers of novel therapies. We present major themes and recommendations from the 2021 "Inclusion of Older Adults in Clinical Research" Workshop, convened by the Clinical and Translational Science Award (CTSA) Inclusion of Older Adults as a Model for Special Populations Workgroup and the Research Centers Collaborative Network (RCCN). The goal of this workshop was to develop strategies to assist the research community in increasing the inclusion of older adults in clinical research. Major identified barriers include historical lack of federal guidelines, ageist biases and stereotypes, and lack of recruitment and retention techniques or infrastructure focused on older adults. Three key recommendations emerged: 1) engaging with the policymaking process to further promote inclusion; 2) using the CTSA Workgroup Presentation Materials Library and other resources to overcome ageism, and 3) building institutional capacity to support age inclusion.

Association Between Neighborhood Disadvantage and Fertility Among Pregnancy Planners in the US.

Importance: Decades of inequitable policies in the US have yielded disparities in neighborhood quality, and some studies show that living in a socioeconomically disadvantaged neighborhood is associated with worse health outcomes, including reproductive health outcomes. However, no US studies to date have directly examined the association between residence in disadvantaged neighborhoods and fertility. Objective: To examine the association between residence in disadvantaged neighborhoods and fecundability, a sensitive marker of fertility with many health implications. Design, Setting, and Participants: This prospective preconception cohort study used the Pregnancy Study Online, for which baseline data were collected from June 19, 2013, through April 12, 2019. The study included 6356 participants who identified as female, were 21 to 45 years of age, were attempting conception without fertility treatment, and provided a valid residential address in the contiguous US at enrollment. Exposures: A standardized area deprivation index (ADI) derived at the census block group level applied to each residential address. Main Outcomes and Measures: Fecundability, the per-cycle probability of conception, via questionnaires that were completed every 8 weeks for 12 months, until conception or a censoring event. Proportional probabilities models were used to estimate fecundability ratios and 95% CIs for associations between ADI and fecundability. Restricted cubic splines were also implemented to examine nonlinearity. Models were adjusted for demographic characteristics and factors associated with fertility. The study's a priori hypothesis was that higher levels of neighborhood disadvantage would be associated with decreased fecundability. Results: Among 6356 participants, 3725 pregnancies were observed for 27 427 menstrual cycles of follow-up. The mean (SD) baseline age was 30.0 (4.1) years, and most participants were non-Hispanic White (5297 [83.3%]) and nulliparous (4179 [65.7%]). Comparing the top and bottom deciles of disadvantaged neighborhood status, adjusted fecundability ratios were 0.79 (95% CI, 0.66-0.96) for national-level ADI rankings and 0.77 (95% CI, 0.65-0.92) for within-state ADI rankings. Restricted cubic splines showed some evidence of nonlinearity in the association. Associations were slightly stronger among participants with lower annual incomes (<$50 000). Conclusions and Relevance: In this cohort study, residence in a socioeconomically disadvantaged neighborhood was associated with moderately decreased fecundability. If confirmed in other studies, these results suggest that investments to reduce disadvantaged neighborhood status may yield positive cobenefits for fertility.

Immigration and the Life Course: Contextualizing and Understanding Healthcare Access and Health of Older Adult Immigrants.

OBJECTIVE: Immigrant health discussions often focus on acculturation and omit discussions on historical events that may underlie health differences among immigrant older adults. This paper provides a historical overview of immigration policy and flows to the U.S. and examines insurance access and health difficulties by sending country. METHODS: We analyzed the "Immigrants Admitted to the United States, Fiscal Years 1972-2000" and 2015-2019 American Community Survey datasets to examine the number of admitted immigrants, sociodemographic profiles for current immigrant older adults, and the predicted probabilities of health insurance access and health difficulties. RESULTS: Our results highlight alignment of immigration flows with immigration legislation and vast heterogeneity in migration, health, and healthcare access of immigrants by sending country. DISCUSSION/IMPLICATIONS: Public health practitioners must consider how historical events and social factors contribute to the healthcare access and health of immigrant populations, as demographic shifts will require interventions that promote equitable healthy aging.

COVID-19 and Asian Americans: Reinforcing the Role of Community-Based Organizations in Providing Culturally and Linguistically Centered Care.

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

The Mutually Reinforcing Cycle Of Poor Data Quality And Racialized Stereotypes That Shapes Asian American Health.

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.

The Expert Next Door: Interactions With Friends and Family During the COVID-19 Pandemic.

The coronavirus disease 2019 (COVID-19) pandemic thrust the field of public health into the spotlight. For many epidemiologists, biostatisticians, and other public health professionals, this caused the professional aspects of our lives to collide with the personal, as friends and family reached out with concerns and questions. Learning how to navigate this space was new for many of us and required refining our communication style depending on context, setting, and audience. Some of us took to social media, utilizing our existing personal accounts to share information after sorting through and summarizing the rapidly emerging literature to keep loved ones safe. However, those in our lives sometimes asked unanswerable questions, or began distancing themselves when we suggested more stringent guidance than they had hoped for, causing additional stress during an already traumatic time. We often had to remind ourselves that we were also individuals experiencing this pandemic and that our time-intensive efforts were meaningful, relevant, and impactful. As this pandemic and other public health crises continue, we encourage members of our discipline to consider how we can best use shared lessons from this period and to recognize that our professional knowledge, when used in our personal lives, can promote, protect, and bolster confidence in public health.

Trends in Cardiovascular Disease by Asian American, Native Hawaiian, and Pacific Islander Ethnicity, Medicare Health Outcomes Survey 2011-2015.

BACKGROUND: The burden of cardiovascular disease (CVD) is increasing in the aging population. However, little is known about CVD risk factors and outcomes for Asian American, Native Hawaiian, and Other Pacific Islander (NH/PI) older adults by disaggregated subgroups. METHODS: Data were from the Centers for Medicare and Medicaid Services 2011-2015 Health Outcomes Survey, which started collecting expanded racial/ethnic data in 2011. Guided by Andersen and Newman's theoretical framework, multivariable logistic regression analyses were conducted to examine the prevalence and determinants of CVD risk factors (obesity, diabetes, smoking status, hypertension) and CVD conditions (coronary artery disease [CAD], congestive heart failure [CHF], myocardial infarction [MI], other heart conditions, stroke) for 10 Asian American and NH/PI subgroups and White adults. RESULTS: Among the 639 862 respondents, including 26 853 Asian American and 4 926 NH/PI adults, 13% reported CAD, 7% reported CHF, 10% reported MI, 22% reported other heart conditions, and 7% reported stroke. CVD risk factors varied by Asian American and NH/PI subgroup. The prevalence of overweight, obesity, diabetes, and hypertension was higher among most Asian American and NH/PI subgroups than White adults. After adjustment, Native Hawaiians had significantly greater odds of reporting stroke than White adults. CONCLUSIONS: More attention should focus on NH/PIs as a priority population based on the disproportionate burden of CVD risk factors compared with their White and Asian American counterparts. Future research should disaggregate racial/ethnic data to provide accurate depictions of CVD and investigate the development of CVD risk factors in Asian Americans and NH/PIs over the life course.