Faculty Bibliography

INTRODUCTION: Racial/ethnic minority adults have higher rates of hypertension than non-Hispanic white adults. We examined the prevalence of hypertension among Hispanic and Asian subgroups in New York City. METHODS: Data from the 2013-2014 New York City Health and Nutrition Examination Survey were used to assess hypertension prevalence among adults (aged >/=20) in New York City (n = 1,476). Hypertension was measured (systolic blood pressure >/=140 mm Hg or diastolic blood pressure >/=90 mm Hg or self-reported hypertension and use of blood pressure medication). Participants self-reported race/ethnicity and country of origin. Multivariable logistic regression models assessed differences in prevalence by race/ethnicity and sociodemographic and health-related characteristics. RESULTS: Overall hypertension prevalence among adults in New York City was 33.9% (43.5% for non-Hispanic blacks, 38.0% for Asians, 33.0% for Hispanics, and 27.5% for non-Hispanic whites). Among Hispanic adults, prevalence was 39.4% for Dominican, 34.2% for Puerto Rican, and 27.5% for Central/South American adults. Among Asian adults, prevalence was 43.0% for South Asian and 39.9% for East/Southeast Asian adults. Adjusting for age, sex, education, and body mass index, 2 major racial/ethnic minority groups had higher odds of hypertension than non-Hispanic whites: non-Hispanic black (AOR [adjusted odds ratio], 2.6; 95% confidence interval [CI], 1.7-3.9) and Asian (AOR, 2.0; 95% CI, 1.2-3.4) adults. Two subgroups had greater odds of hypertension than the non-Hispanic white group: East/Southeast Asian adults (AOR, 2.8; 95% CI, 1.6-4.9) and Dominican adults (AOR, 1.9; 95% CI, 1.1-3.5). CONCLUSION: Racial/ethnic minority subgroups vary in hypertension prevalence, suggesting the need for targeted interventions.

OBJECTIVE: To use novel geographic methods and large-scale claims data to identify the local distribution of pediatric chronic diseases in New York City. METHODS: Using a 2009 all-payer emergency claims database, we identified the proportion of unique children aged 0 to 17 with diagnosis codes for specific medical and psychiatric conditions. As a proof of concept, we compared these prevalence estimates to traditional health surveys and registry data using the most geographically granular data available. In addition, we used home addresses to map local variation in pediatric disease burden. RESULTS: We identified 549,547 New York City children who visited an emergency department at least once in 2009. Though our sample included more publicly insured and uninsured children, we found moderate to strong correlations of prevalence estimates when compared to health surveys and registry data at prespecified geographic levels. Strongest correlations were found for asthma and mental health conditions by county among younger children (0.88, P = .05 and 0.99, P < .01, respectively). Moderate correlations by neighborhood were identified for obesity and cancer (0.53 and 0.54, P < .01). Among adolescents, correlations by health districts were strong for obesity (0.95, P = .05), and depression estimates had a nonsignificant, but strong negative correlation with suicide attempts (-0.88, P = .12). Using SaTScan, we also identified local hot spots of pediatric chronic disease. CONCLUSIONS: For conditions easily identified in claims data, emergency department surveillance may help estimate pediatric chronic disease prevalence with higher geographic resolution. More studies are needed to investigate limitations of these methods and assess reliability of local disease estimates.

Evidence on ethnic enclave-health associations for Asian Americans is limited due to an inconsistent definition of ethnic enclave. The authors aimed to establish a robust criterion for defining Asian enclaves in New York City (NYC) and assessed the association between enclave residence and health outcomes among Asian American adults. Data came from 2009-2012 NYC Community Health Surveys and 2008-2012 American Community Survey. Asian enclave was defined as an area with high dissimilarity and isolation scores as well as high concentration of Asians. Five of 55 NYC community districts were identified as Asian enclaves. After controlling for confounding, enclave residence was associated with positive perception of general health with borderline significance (prevalence ratio = 1.06, 95 % CI 0.98, 1.15), but not with current smoking, hypertension, and diabetes. Ethnic enclave residence in urban areas may not produce a substantial impact on chronic health outcomes for Asian Americans beyond individual-level factors.

OBJECTIVE: Asian Americans consume more sodium than other racial/ethnic groups. The purpose of this analysis was to describe major sources of sodium intake to inform sodium reduction initiatives. METHODS: Cross-sectional data on adults (aged >18 years) from the National Health and Nutrition Examination Survey (NHANES) 2011-2012 with one 24-hour dietary recall were analyzed (n=5,076). Population proportions were calculated from "What We Eat in America" (WWEIA) food categories. RESULTS: Asian Americans had a higher sodium density vs adults of other racial/ethnic groups (means in mg/1000kcal: Asian American, 2031.1; Hispanic,1691.6; White: 1666.5; Black: 1655.5; P<.05, all). Half of sodium consumed by Asian Americans came from the top 10 food categories, in contrast to Hispanics (43.6%), Whites (39.0%), and Blacks (36.0%). Four food categories were a top source of sodium for Hispanics, Whites, Blacks, and others, but not among Asian Americans: cold cuts and cured meats; meat mixed dishes; eggs and omelets; and cheese. The top three food category sources of sodium among Asians were soups, rice, and yeast breads accounting for 28.9% of dietary sodium. Asian Americans were less likely to add salt at the table, but used salt in food preparation 'very often' (P for both <.01). CONCLUSIONS: Mean sodium consumption and sources vary across racial/ethnic groups with highest consumption in Asian Americans. Given the smaller number of food categories contributing to sodium intake in Asian Americans, results imply that targeted activities on a few food items would have a large impact on reducing sodium intake in this group.

INTRODUCTION: Neighborhood factors are increasingly recognized as determinants of health. Neighborhood social cohesion may be associated with physical activity, but previous studies examined data aggregated across racial/ethnic groups. We assessed whether neighborhood social cohesion was associated with physical activity in a nationally representative data set and explored the role of race/ethnicity. METHODS: We combined National Health Interview Survey data from 2013 and 2014 (n = 64,754) and constructed a neighborhood social cohesion score by summing responses to 4 questions. The outcome of meeting aerobic physical activity guidelines was defined as 150 or more minutes per week of moderate activity or 75 or more minutes of vigorous activity. Multivariable models regressing physical activity on neighborhood social cohesion were adjusted for demographic factors; interaction analyses assessed effect modification by race/ethnicity. RESULTS: In adjusted analyses, a 1-unit increase in the neighborhood social cohesion score was associated with higher odds of meeting physical activity guidelines (odds ratio [OR], 1.04; 95% confidence interval [CI], 1.03-1.05). Neighborhood social cohesion and physical activity were associated among non-Hispanic white adults (OR, 1.30; 95% CI, 1.20-1.42) and Hispanic adults (OR, 1.18; 95% CI, 1.03-1.34]) but not among non-Hispanic black or Asian American adults (Chinese, Filipino, and Asian Indians). CONCLUSION: Neighborhood social cohesion was associated with meeting physical activity guidelines in a nationally representative sample; this association may be most meaningful for non-Hispanic white and Hispanic populations. Additional studies are needed to identify neighborhood factors that help non-Hispanic black and Asian Americans to meet physical activity guidelines.

Asian Americans have lower levels of physical activity (PA) compared to other racial/ethnic groups; however, there is little understanding of the social and cultural determinants of PA in this population. Few analyses describe specific PA domains (occupation-, transportation-, recreation-related), focus on one Asian subgroup, or use validated scales. The study objective was to assess the association between acculturation and activity behaviors (meeting 2008 PA guidelines, activity minutes by PA domain, sitting time) in a cross-sectional sample of urban-dwelling, Chinese American immigrants. Data were from the Chinese American Cardiovascular Health Assessment (CHA CHA) 2010-11 among participants with valid reports of PA minutes, assessed by the WHO Global Physical Activity Questionnaire (n = 1772). Acculturation was assessed using the Stephenson Multigroup Acculturation Scale, a 32-item instrument which characterizes two acculturative dimensions: ethnic society (Chinese) immersion and dominant society (American) immersion (maximum possible scores = 4). Multivariable models regressing activity behaviors on acculturation were run, adjusting for age, sex, household income, education, and age at immigration. Ethnic society immersion was high (mean = 3.64) while dominant society immersion was moderate (mean = 2.23). Higher ethnic society immersion was associated with less recreation-related PA (- 40.7 min/week); higher dominant society immersion was associated with a higher odds of meeting PA guidelines (OR: 1.66 (1.25, 2.20), p < 0.001) and more recreation-related PA (+ 36.5 min/week). Given low PA levels in Chinese adults in China, results suggest that PA for leisure may increase and become a more normative behavior among Chinese American immigrants with acculturation. Understanding acculturation level may inform strategies to increase PA in Chinese Americans.

AIMS: To identify population characteristics associated with local variation in the prevalence of diabetic complications and compare the geographic distribution of different types of complications in New York City. METHODS: Using an all-payer database of emergency visits, we identified the proportion of unique adults with diabetes who also had cardiac, neurologic, renal and lower extremity complications. We performed multivariable regression to identify associations of demographic and socioeconomic factors, and diabetes-specific emergency department use with the prevalence of diabetic complications by Census tract. We also used geospatial analysis to compare local hotspots of diabetic complications. RESULTS: We identified 4.6million unique New York City adults, of which 10.5% had diabetes. Adjusting for demographic and socioeconomic factors, diabetes-specific emergency department use was associated with severe microvascular renal and lower extremity complications (p-values<0.001), but not with severe macrovascular cardiac or neurologic complications (p-values of 0.39 and 0.29). Our hotspot analysis demonstrated significant geographic heterogeneity in the prevalence of diabetic complications depending on the type of complication. Notably, the geographic distribution of hotspots of myocardial infarction were inversely correlated with hotspots of end-stage renal disease and lower extremity amputations (coefficients: -0.28 and -0.28). CONCLUSIONS: We found differences in the local geographic distribution of diabetic complications, which highlight the contrasting risk factors for developing macrovascular versus microvascular diabetic complications. Based on our analysis, we also found that high diabetes-specific emergency department use was correlated with poor diabetic outcomes. Emergency department utilization data can help identify the location of specific populations with poor glycemic control.

BACKGROUND: Asian Americans are the fastest growing racial/ethnic group in the United States. Chinese Americans and their counterparts in Chinese countries have been shown to have an elevated risk of stroke compared to non-Hispanic Whites, while South Asian Americans and their counterparts in South Asian countries have an elevated risk of heart disease. Exactly how cardiovascular disease morbidity varies by Asian subgroup, however, is not well understood. The purpose of this analysis was to identify differences in clinical presentation and lifestyle behaviors between Chinese and South Asian American immigrants vs. non-Hispanic Whites in a representative sample of adults with self-report of physician-diagnosed hypertension. METHODS: Data on adults with self-reported hypertension were obtained from the New York City Community Health Survey 2009-2013 (Chinese: n = 555; South Asian: n = 144; non-Hispanic White: n = 5,987). RESULTS: Compared to non-Hispanic Whites with hypertension, foreign-born Chinese adults with hypertension were of a much lower socioeconomic profile and less likely to have private health insurance, and foreign-born Chinese and South Asian adults with hypertension had lower body mass index (BMI) values (25.3, 26.0 vs. 28.7kg/m2; P < 0.001). South Asians were younger than non-Hispanic Whites (mean age: 49.5 vs. 62.1 years; P < 0.001) and had poorer diet quality. BMI and diet quality results persisted in multivariable regression models. CONCLUSIONS: Findings from this study highlight important clinical distinctions in hypertensive Chinese and South Asian immigrant communities with respect to age and body size. Whether targeted and culturally appropriate approaches would reduce cardiovascular disease-related mortality in these groups needs further study.

OBJECTIVE: Chronic conditions such as cardiovascular disease and cancer can result from a number of diet-related environmental and behavioral factors. Screening for poor diet is helpful in developing interventions to prevent chronic disease, but measuring dietary behavior can be costly and time-consuming. The purpose of this study was to test the ability of a self-rated, single-item measure for evaluating diet quality among individuals and populations. METHODS: A 24-h dietary recall and single-item self-rated diet quality measure were collected for 485 adults. From dietary recalls, Healthy Eating Index-2010 (HEI) scores were computed and compared with self-rated diet quality. Data were collected in 2013 among adult (18 years and older) New York City residents. RESULTS: The study sample was 57% female, 47% white, 56% college educated, and 45% in the highest income tertile. The mean HEI score was 56.5 out of a possible 100. Women averaged higher HEI scores compared to men (58.1 vs 54.3, p = .01). There was a modest yet significant correlation between HEI scores and self-rated diet quality (rho = 0.29, p < .01). Overall, mean HEI score increased as self-rated diet quality improved (from 48.2 for "poor" to 63.0 for "excellent"). CONCLUSIONS: The single-item measure of self-rated diet quality may provide a simple method of identifying those with the worst diet quality. Further investigation of this measure's validity is needed with alternative measures of dietary intake and with health outcomes.