Faculty Bibliography

BACKGROUND: Research suggests that fall risk among older adults varies by racial/ethnic groups; however, few studies have examined fall risk among Hispanics and Asian American older adults. METHODS: Using 2011-2012 California Health Interview Survey data, this study examines falling >/=2 times in the past year by racial/ethnic groups (Asian Americans, Hispanics, and Blacks) aged >/=65, adjusting for socio-demographic characteristics, body mass index, co-morbidities, and functional limitations. A secondary analysis examines differences in fall risk by English language proficiency and race/ethnicity among Asian Americans and Hispanics. RESULTS: Asian Americans were significantly less likely to fall compared to non-Hispanic whites, individuals with >/=2 chronic diseases were significantly more likely to fall than individuals with <2 chronic diseases, and many functional limitations were significantly associated with fall risk, when adjusting for all factors. African Americans and Hispanics did not differ significantly from non-Hispanic whites. Analysis adjusting for race/ethnicity and English language proficiency found that limited English proficient Asian Americans were significantly less likely to fall compared to non-Hispanic whites, individuals with >/=2 chronic diseases were significantly more likely to fall than individuals with <2 chronic diseases, and all functional limitations were significantly associated with fall risk, when adjusting for all factors. No differences were found when examining by racial/ethnic and English proficient/limited English proficient groups. CONCLUSION: Further research is needed to explore factors associated with fall risks across racial/ethnic groups. Culturally relevant and targeted interventions are needed to prevent falls and subsequent injuries in the increasingly diverse aging population in the USA.

Cancer is the leading cause of death among Asian Americans, and cancer cases among Asian Americans, Pacific Islanders, and Native Americans are expected to rise by 132% by 2050. Yet, little is known about biologic and environmental factors that contribute to these higher rates of disease in this population. Precision medicine has the potential to contribute to a more comprehensive understanding of morbidity and mortality trends among Asian American subgroups and to reduce cancer-related health disparities by recognizing patients as individuals with unique genetic, environmental, and lifestyle characteristics; identifying ways in which these differences impact cancer expression; and developing tailored disease prevention and clinical treatment strategies to address them. Yet, substantial barriers to the recruitment and retention of Asian Americans in cancer research persist, threatening the success of precision medicine research in addressing these knowledge gaps. This commentary outlines the major challenges to recruiting and retaining Asian Americans in cancer trials, suggests ways of surmounting them, and offers recommendations to ensure that personalized medicine becomes a reality for all Americans.

Most residents in New York City (NYC) do not consume sufficient fruits and vegetables every day. Difficulties with access and high prices of fruits and vegetables in some neighborhoods contribute to different consumption patterns across NYC neighborhoods. We developed an agent-based model (ABM) to predict dietary behaviors of individuals at the borough and neighborhood levels. Model parameters were estimated from the 2014 NYC Community Health Survey, United States Census data, and the literature. We simulated six hypothetical interventions designed to improve access and reduce the price of fruits and vegetables. We found that all interventions would lead to increases in fruit and vegetable consumption but the results vary substantially across boroughs and neighborhoods. For example, a 10% increase in the number of fruit/vegetable vendors combined with a 10% decrease in the prices of fruits and vegetables would lead to a median increase of 2.28% (range: 0.65%-4.92%) in the consumption of fruits and vegetables, depending on neighborhood. We also found that the impact of increasing the number of vendors on fruit/vegetable consumption is more pronounced in unhealthier local food environments while the impact of reducing prices on fruits/vegetable consumption is more pronounced in neighborhoods with low levels of education. An agent-based model of dietary behaviors that takes into account neighborhood context has the potential to inform how fruit/vegetable access and pricing strategies may specifically work in tandem to increase the consumption of fruits and vegetables at the local level.

Introduction/UNASSIGNED:While the US health care system has the capability to provide amazing treatment of a wide array of conditions, this care is not uniformly available to all population groups. Oral health care is one of the dimensions of the US health care delivery system in which striking disparities exist. More than half of the population does not visit a dentist each year. Improving access to oral health care is a critical and necessary first step to improving oral health outcomes and reducing disparities. Fluoride has contributed profoundly to the improved dental health of populations worldwide and is needed regularly throughout the life course to protect teeth against dental caries. To ensure additional gains in oral health, fluoride toothpaste should be used routinely at all ages. Evidence-based guidelines for annual dental visits and brushing teeth with fluoride toothpaste form the basis of this implementation science project that is intended to bridge the care gap for underserved Asian American populations by improving access to quality oral health care and enhancing effective oral health promotion strategies. The ultimate goal of this study is to provide information for the design and implementation of a randomized controlled trial of a participatory, multi-level, partnered (i.e., with community stakeholders) intervention to improve the oral and general health of low-income Chinese American adults. Methods/UNASSIGNED:multiple recorded sessions with research staff, administrators, outreach site directors, and providers. The study will also model knowledge held by non-patient participants to evaluate and enhance the partnered intervention for use in future implementations.

OBJECTIVE:To determine whether neighbourhood socioeconomic status (SES) is associated with body mass index (BMI), waist circumference (WC) and biomarkers of diet (urinary sodium and potassium excretion). DESIGN/METHODS:A cross-sectional study. SETTING/METHODS:The data reported were from the 2010 Heart Follow-up Study, a population-based representative survey of 1645 adults. PARTICIPANTS/METHODS:Community-dwelling diverse residents of New York City nested within 128 neighbourhoods (zip codes). PRIMARY AND SECONDARY OUTCOME MEASURES/UNASSIGNED:BMI (kg/m2) and WC (inches) were measured during in-home visits, and 24-hour urine sample was collected to measure biomarkers of diet: sodium (mg/day) and potassium (mg/day), with high sodium and low potassium indicative of worse diet quality. RESULTS:After adjusting for individual-level characteristics using multilevel linear regressions, low versus high neighbourhood SES tertile was associated with 1.83 kg/m2 higher BMI (95% CI 0.41 to 3.98) and 251 mg/day lower potassium excretion (95% CI -409 to 93) among women only, with no associations among men (P values for neighbourhood SES by sex interactions <0.05). CONCLUSION/CONCLUSIONS:Our results suggest that women may be particularly vulnerable to the effects of a socioeconomically disadvantaged neighbourhood. Future neighbourhood research should explore sex differences, as these can inform tailored interventions. TRIAL REGISTRATION NUMBER/BACKGROUND:NCT01889589; Results.

Given the inequalities in the distribution of disease burden, geographically detailed methods of disease surveillance are needed to identify local hot spots of chronic disease. However, few data sources include the patient-level addresses needed to perform these studies. Given that individual hospitals would have access to this geographically granular data, this study assessed the reliability of estimating chronic disease prevalence using emergency department surveillance at specific hospitals. Neighborhood-level diabetes, hypertension, and asthma prevalence were estimated using emergency claims data from each individual hospital in New York City from 2009-2012. Estimates were compared to prevalence obtained from a traditional health survey. A multivariable analysis also was performed to identify which individual hospitals were more accurate at estimating citywide disease prevalence. Among 52 hospitals, variation was found in the accuracy of disease prevalence estimates using emergency department surveillance. Estimates at some hospitals, such as NYU Langone Medical Center, had strong correlations for all diseases studied (diabetes: 0.81, hypertension: 0.84, and asthma: 0.84). Hospitals with patient populations geographically distributed throughout New York City had better accuracy in estimating citywide disease prevalence. For diabetes and hypertension, hospitals with racial/ethnic patient distributions similar to Census estimates and higher fidelity of diagnosis coding also had more accurate prevalence estimates. This study demonstrated how citywide chronic disease surveillance can be performed using emergency data from specific sentinel hospitals. The findings may provide an alternative means of mapping chronic disease burden by using existing data, which may be critical in regions without resources for geographically detailed health surveillance.

Faith-based organizations (FBOs) (e.g., churches, mosques, and gurdwaras) can play a vital role in health promotion. The Racial and Ethnic Approaches to Community Health for Asian Americans (REACH FAR) Project is implementing a multi-level and evidence-based health promotion and hypertension (HTN) control program in faith-based organizations serving Asian American (AA) communities (Bangladeshi, Filipino, Korean, Asian Indian) across multiple denominations (Christian, Muslim, and Sikh) in New York/New Jersey (NY/NJ). This paper presents baseline results and describes the cultural adaptation and implementation process of the REACH FAR program across diverse FBOs and religious denominations serving AA subgroups. Working with 12 FBOs, informed by implementation research and guided by a cultural adaptation framework and community-engaged approaches, REACH FAR strategies included (1) implementing healthy food policies for communal meals and (2) delivering a culturally-linguistically adapted HTN management coaching program. Using the Ecological Validity Model (EVM), the program was culturally adapted across congregation and faith settings. Baseline measures include (i) Congregant surveys assessing social norms and diet (n = 946), (ii) HTN participant program surveys (n = 725), (iii) FBO environmental strategy checklists (n = 13), and (iv) community partner in-depth interviews assessing project feasibility (n = 5). We describe the adaptation process and baseline assessments of FBOs. In year 1, we reached 3790 (nutritional strategies) and 725 (HTN program) via AA FBO sites. Most AA FBOs lack nutrition policies and present prime opportunities for evidence-based multi-level interventions. REACH FAR presents a promising health promotion implementation program that may result in significant community reach.

PURPOSE OF REVIEW: Multi-sector partnerships are broadly considered to be of value for diabetes prevention and management. The purpose of this article is to summarize academic and government collaborations focused on diabetes prevention and management. RECENT FINDINGS: Using a narrative review approach, we identified 17 articles describing 10 academic and government partnerships for diabetes management and surveillance. Challenges and gaps in the literature include complexity of diabetes management vis a vis current healthcare infrastructure; a paucity of racial/ethnic diversity in translational efforts; and the time/effort needed to maintain strong relationships across partner institutions. Academic and government partnerships are of value for diabetes prevention and management activities. Acknowledgment that the key priorities of government programming are often costs and feasibility is critical for collaborations to be successful. Future translational efforts of diabetes prevention and management programs should focus on the following: (1) expansion of partnerships between academia and local health departments; (2) increased utilization of implementation science for enhanced and efficient implementation and dissemination; and (3) harnessing of technological advances for data analysis, patient communication, and report generation.

We used the Racial and Ethnic Approaches to Community Health Across the US (REACH US) Risk Factor Survey from 2009 through 2012 to examine the association between body mass index (BMI, calculated as kg/m2) and 3 cardiovascular disease risk factors among Chinese Americans in New York City. We used traditional BMI cut points and cut points modified for the Asian population. Compared with normal/underweight Chinese American adults (BMI <23.0), obese Chinese American adults (BMI >/=27.5) had significantly higher odds of having each risk factor in fully adjusted logistic regression models: diabetes (odds ratio [OR], 4.2; 95% confidence interval [CI], 2.8-6.2), high blood pressure (OR, 5.5; 95% CI, 3.9-7.7), and high cholesterol (OR, 1.7; 95% CI, 1.2-2.4). Regression results were similar across BMI definitions, suggesting that both BMI categorizations should be considered in CVD research among Chinese Americans.

OBJECTIVES: To identify determinants of receipt of annual oral health examinations and self-rated oral health among diverse Asian American subgroups. METHODS: We used data from the Community Health Resources and Needs Assessment, a community-based survey of Asian American immigrant adults conducted in the New York City metropolitan region from 2013 to 2016 (n = 1288). We used multivariable logistic regression models to assess determinants of oral health care receipt and self-rated oral health. RESULTS: Failure to receive an annual oral health examination was common in this sample (41.5%) and was more frequent for participants who were younger and male and those who had poorer English fluency and lower educational attainment. Not having dental insurance versus having private dental insurance resulted in 2 to 3 times the odds of nonreceipt of oral health care and poor self-rated oral health. CONCLUSIONS: Nonreceipt of annual oral health examinations and poor self-rated oral health were common across Asian American subgroups. Facilitating dental insurance sign-up and providing in-language services may improve oral health care access and ultimately oral health among Asian American immigrants.