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.

Disparities in colorectal cancer screening among South Asians in New York City: a cross-sectional study.

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.

COVID-19, Social Determinants of Health, and Opportunities for Preventing Cardiovascular Disease: A Conceptual Framework.

The COVID-19 pandemic has disrupted the social, economic, and health care systems in the United States and shined a spotlight on the burden of disease associated with social determinants of health (SDOH). Addressing SDOH, while a challenge, provides important opportunities to mitigate cardiovascular disease incidence, morbidity, and mortality. We present a conceptual framework to examine the differential effects of the COVID-19 pandemic on SDOH across demographically diverse populations, focusing on the short- and long-term development of cardiovascular disease, as well as future research opportunities for cardiovascular disease prevention. The COVID-19 pandemic exerted negative shifts in SDOH and cardiovascular risk factors (ie, smoking, body mass index, physical activity, dietary behavior, cholesterol, blood pressure, and blood sugar). For example, evidence suggests that unemployment and food insecurity have increased, whereas health care access and income have decreased; changes to SDOH have resulted in increases in loneliness and processed food consumption, as well as decreases in physical activity and hypertension management. We found that policy measures enacted to mitigate economic, social, and health issues inadequately protected populations. Low-income and racial and ethnic minority communities, historically underserved populations, were not only disproportionately adversely affected by the pandemic but also less likely to receive assistance, likely attributable in part to the deep structural inequities pervasive in our society. Effective and culturally appropriate interventions are needed to mitigate the negative health impacts of historical systems, policies, and programs that created and maintain structural racism, especially for immigrants, racial and ethnic minorities, and populations experiencing social disadvantage.

A cross-sectional analysis of dietary protein intake and body composition among Chinese Americans.

Favourable body composition has been associated with higher dietary protein intake. However, little is known regarding this relationship in a population of Chinese Americans (CHA), who have lower BMI compared with other populations. The aim of the present study was to assess the relationship between dietary protein intake, fat mass (FM) and fat-free mass (FFM) in CHA. Data were from the Chinese American Cardiovascular Health Assessment (CHA CHA) 2010-2011 (n 1707); dietary intake was assessed using an adapted and validated FFQ. Body composition was assessed using bioelectrical impedance analysis. The associations between protein intake (% energy intake) and BMI, percentage FM (FM%), percentage FFM (FFM%), FM index (FMI) and FFM index (FFMI) were examined using multiple linear regression adjusted for age, sex, physical activity, acculturation, total energy intake, sedentary time, smoking status, education, employment and income. There was a significant positive association between dietary protein and BMI (B = 0·056, 95 % CI 0·017, 0·104; P = 0·005), FM (B = 0·106, 95 % CI 0·029, 0·184; P = 0·007), FM% (B = 0·112, 95 % CI 0·031, 0·194; P = 0·007) and FMI (B = 0·045, 95 % CI 0·016, 0·073; P = 0·002). There was a significant negative association between dietary protein and FFM% (B = -0·116, 95 % CI -0·196, -0·036; P = 0·004). In conclusion, higher dietary protein intake was associated with higher adiposity; however, absolute FFM and FFMI were not associated with dietary protein intake. Future work examining the relationship between protein source (i.e. animal) and body composition is warranted in this population of CHA.

Opportunities and Challenges in Precision Medicine: Improving Cancer Prevention and Treatment for Asian Americans.

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.

Identifying Local Hot Spots of Pediatric Chronic Diseases Using Emergency Department Surveillance.

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.

Defining Ethnic Enclave and Its Associations with Self-Reported Health Outcomes Among Asian American Adults in New York City.

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.

Commentary: Persistence and Health-Related Consequences of the Model Minority Stereotype for Asian Americans.

Fifty years ago, the term model minority was coined to describe the extraordinary ability of Asian Americans to overcome hardship to succeed in American society. Less well-known is how the model minority stereotype was cultivated within the context of Black-White race relations during the second half of the 20th century, and how this stereotype, in turn, has contributed to the understanding and prioritization of health disparities experienced by Asian Americans. The objectives of this article are to define the model minority stereotype, present its controversies, and provide examples of its social and health-related consequences (ie, implications for obesity and tobacco) across multiple levels of society and institutions. A salient theme throughout the examples provided is the limitation of data presented at the aggregate level across all Asian subgroups which masks meaningful disparities. The intent is to increase the visibility of Asian Americans as a racial/ethnic minority group experiencing chronic disease health disparities and deserving of health-related resources and consideration.

Validation of self-rated overall diet quality by Healthy Eating Index-2010 score among New York City adults, 2013.

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 (ρ = 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.

Self-reported sitting time in New York City adults, the Physical Activity and Transit Survey, 2010-2011.

INTRODUCTION: Recent studies have demonstrated the negative health consequences associated with extended sitting time, including metabolic disturbances and decreased life expectancy. The objectives of this study were to characterize sitting time in an urban adult population and assess the validity of a 2-question method of self-reported sitting time. METHODS: The New York City Health Department conducted the 2010-2011 Physical Activity and Transit Survey (N = 3,597); a subset of participants wore accelerometers for 1 week (n = 667). Self-reported sitting time was assessed from 2 questions on time spent sitting (daytime and evening hours). Sedentary time was defined as accelerometer minutes with less than 100 counts on valid days. Descriptive statistics were used to estimate the prevalence of sitting time by demographic characteristics. Validity of sitting time with accelerometer-measured sedentary time was assessed using Spearman's correlation and Bland-Altman techniques. All data were weighted to be representative of the New York City adult population based on the 2006-2008 American Community Survey. RESULTS: Mean daily self-reported sitting time was 423 minutes; mean accelerometer-measured sedentary time was 490 minutes per day (r = 0.32, P < .001). The mean difference was 49 minutes per day (limits of agreement: -441 to 343). Sitting time was higher in respondents at lower poverty and higher education levels and lower in Hispanics and people who were foreign-born. CONCLUSION: Participants of higher socioeconomic status, who are not typically the focus of health disparities-related research, had the highest sitting times; Hispanics had the lowest levels. Sitting time may be accurately assessed by self-report with the 2-question method for population surveillance but may be limited in accurately characterizing individual-level behavior.

Trends in cigarette, cigar, and smokeless tobacco use among New York City public high school youth smokers, 2001-2013.

OBJECTIVE: This study aimed to describe the recent trends in youth smoking behaviors, and examine cigar and smokeless tobacco use patterns among youth smokers in New York City. METHODS: Data, analyzed in 2014, were from the New York City Youth Risk Behavior Survey, a cross-sectional survey conducted bi-annually since 1997 in a representative sample of New York City public high school students (2001-2013), n = 59,122. RESULTS: Cigarette smoking declined 53%, from 17.6% in 2001 to 8.2% in 2013 (p < 0.001). The proportion of cigar use among smokers doubled, from 22.2% in 2001 to 45.9% in 2013 (p < 0.001), while the proportion of smokeless tobacco use among smokers increased by 400% between 2001 and 2013 (4.2% vs. 21.2%, p < 0.001). CONCLUSIONS: Youth cigarette smoking rates in New York City decreased, while cigar smoking and smokeless tobacco use among smokers increased considerably. These data highlight trends in youth smoking behaviors within the context of New York City's comprehensive tobacco control program and stress the need for additional activity to spur further declines in cigarette smoking and reverse the trends in cigar and smokeless tobacco use among New York City youth. Results demonstrate the need for continuous surveillance and action by the public health community to counteract tobacco industry promotion of other products.