Faculty Bibliography

Geographic surveillance can identify hotspots of disease and reveal associations between health and the environment. Our study used emergency department surveillance to investigate geographic disparities in type 1 and type 2 diabetes prevalence among adults and children. Using all-payer emergency claims data from 2009 to 2013, we identified unique New York City residents with diabetes and geocoded their location using home addresses. Geospatial analysis was performed to estimate diabetes prevalence by New York City Census tract. We also used multivariable regression to identify neighborhood-level factors associated with higher diabetes prevalence. We estimated type 1 and type 2 diabetes prevalence at 0.23% and 10.5%, respectively, among adults and 0.20% and 0.11%, respectively, among children in New York City. Pediatric type 1 diabetes was associated with higher income (P = 0.001), whereas adult type 2 diabetes was associated with lower income (P < 0.001). Areas with a higher proportion of nearby restaurants categorized as fast food had a higher prevalence of all types of diabetes (P < 0.001) except for pediatric type 2 diabetes. Type 2 diabetes among children was only higher in neighborhoods with higher proportions of African American residents (P < 0.001). Our findings identify geographic disparities in diabetes prevalence that may require special attention to address the specific needs of adults and children living in these areas. Our results suggest that the food environment may be associated with higher type 1 diabetes prevalence. However, our analysis did not find a robust association with the food environment and pediatric type 2 diabetes, which was predominantly focused in African American neighborhoods.

OBJECTIVE: To examine Supplemental Nutrition Assistance Program (SNAP) recipients' use of the first online supermarket accepting Electronic Benefit Transfer (EBT) payment. METHODS: In this mixed-methods study, the authors collected EBT purchase data from an online grocer and attempted a randomized controlled trial in the South Bronx, New York City, followed by focus groups with SNAP beneficiaries aged >/=18 years. Participants were randomized to shop at their usual grocery store or an online supermarket for 3 months. Focus groups explored barriers and motivators to online EBT redemption. RESULTS: Few participants made online purchases, even when incentivized in the randomized controlled trial. Qualitative findings highlighted a lack of perceived control over the online food selection process as a key barrier to purchasing food online. Motivators included fast, free shipping and discounts. CONCLUSIONS AND IMPLICATIONS: Electronic Benefit Transfer for online grocery purchases has the potential to increase food access among SNAP beneficiaries, but challenges exist to this new food buying option. Understanding online food shopping barriers and motivators is critical to the success of policies targeting the online expansion of SNAP benefits.

BACKGROUND:Policy makers are considering changes to the Supplemental Nutrition Assistance Program (SNAP). Proposed changes include financially incentivizing the purchase of healthier foods and prohibiting the use of funds for purchasing foods high in added sugars. SNAP participant perspectives may be useful in understanding the consequences of these proposed changes. OBJECTIVE:To determine whether food restrictions and/or incentives are acceptable to food benefit program participants. DESIGN/METHODS:Data were collected as part of an experimental trial in which lower-income adults were randomly assigned to one of four financial food benefit conditions: (1) Incentive: 30% financial incentive on eligible fruits and vegetables purchased using food benefits; (2) Restriction: not allowed to buy sugar-sweetened beverages, sweet baked goods, or candies with food benefits; (3) Incentive plus Restriction; or (4) Control: no incentive/restriction. Participants completed closed- and open-ended questions about their perceptions on completion of the 12-week program. PARTICIPANTS/SETTING/METHODS:Adults eligible or nearly eligible for SNAP were recruited between 2013 and 2015 by means of events or flyers in the Minneapolis/St Paul, MN, metropolitan area. Of the 279 individuals who completed baseline measures, 265 completed follow-up measures and are included in these analyses. STATISTICAL ANALYSIS/METHODS:analyses were conducted to assess differences in program satisfaction. Responses to open-ended questions were qualitatively analyzed using principles of content analysis. RESULTS:There were no statistically significant or meaningful differences between experimental groups in satisfaction with the program elements evaluated in the study. Most participants in all conditions found the food program helpful in buying nutritious foods (94.1% to 98.5%) and in buying the kinds of foods they wanted (85.9% to 95.6%). Qualitative data suggested that most were supportive of restrictions, although a few were dissatisfied. Participants were uniformly supportive of incentives. CONCLUSIONS:Findings suggest a food benefit program that includes incentives for purchasing fruits and vegetables and/or restrictions on the use of program funds for purchasing foods high in added sugars appears to be acceptable to most participants.

The primary objective of this study was to investigate the relationship between neighborhood stigma and sleep in a sample of low-income housing residents in New York City. Data were derived from the NYC Low-Income Housing, Neighborhoods, and Health Study (N = 120). Adults living in low-income housing completed a survey consisting of measures of neighborhood stigma, sleep quality, and sleep duration. Neighborhood stigma and sleep were self-reported. Associations between neighborhood stigma and sleep health were analyzed using generalized linear models with cluster variance estimation. Multivariable models adjusted for age, gender, race/ethnicity, income, education, employment status, obesity, the census block percentage of non-Hispanic black residents, and the census block percentage median household income. Results indicate that a reported negative media perception of the neighborhood was negatively associated with sleep quality and duration (p < 0.01). However, additional research is needed to explore neighborhood stigma as it relates to sleep.

In 2011, a National Academy of Medicine report recommended that packaged food in the U.S. display a uniform front-of-package nutrition label, using a system such as a 0-3 star ranking. Few studies have directly compared this to other labels to determine which best informs consumers and encourages healthier purchases. In 2013, we randomized adult participants (N=1247) in an Internet-based survey to one of six conditions: no label control; single traffic light; multiple traffic light; Facts Up Front; NuVal; or 0-3 star ranking. We compared groups on purchase intentions and accuracy of participants' interpretation of food labels. There were no differences in the nutritional quality of hypothetical shopping baskets across conditions (p=0.845). All labels improved consumers' abilities to judge the nutritional quality of foods relative to no label, but the best designs varied by outcomes. NuVal and multiple traffic light labels led to the greatest accuracy identifying the healthier of two products (p<0.001), while the multiple traffic light also led to the most accurate estimates of saturated fat, sugar, and sodium (p<0.001). The single traffic light outperformed other labels when participants compared nutrient levels between similar products (p<0.03). Single/multiple traffic light and Facts Up Front labels led to the most accurate calories per serving estimations (p<0.001). Although front-of-package labels helped participants more accurately assess products' nutrition information relative to no label, no conditions shifted adults' purchase intentions. Results did not point to a clearly superior label design, but they suggest that a 3-star label might not be best for educating consumers.

Food and beverage marketing has been identified as a major driver of obesity yet sports sponsorship remains common practice and represents millions of dollars in advertising expenditures. Research shows that food and beverage products associated with sports (e.g., M&M's with National Association for Stock Car Auto Racing logo) generate positive feelings, excitement, and a positive self-image among adults and children. Despite this, self-regulatory pledges made by food companies to limit exposure of unhealthy products to children have not improved the nutritional quality of foods marketed to children. We reviewed the literature about sports-related food marketing, including food and beverage companies' use of sports sponsorships, athlete endorsements, and sports video games. This review demonstrates that sports sponsorships with food and beverage companies often promote energy-dense, nutrient-poor products and while many of these promotions do not explicitly target youth, sports-related marketing affects food perceptions and preferences among youth. Furthermore, endorsement of unhealthy products by professional athletes sends mixed messages; although athletes may promote physical activity, they simultaneously encourage consumption of unhealthy products that can lead to negative health outcomes. We argue that more athletes and sports organizations should stop promoting unhealthy foods and beverages and work with health experts to encourage healthy eating habits among youth.

The purpose of this research was to examine whether the local food environment, specifically the distance to the nearest sugar sweetened beverage (SSB) vendor, a measure of SSB availability and accessibility, was correlated with the likelihood of self-reported SSB consumption among a sample of fast food consumers. As part of a broader SSB behavior study in 2013-2014, respondents were surveyed outside of major chain fast food restaurants in New York City (NYC). Respondents were asked for the intersection closest to their home and how frequently they consume SSBs. Comprehensive, administrative food outlet databases were used to geo-locate the SSB vendor closest to the respondents' home intersections. We then used a logistic regression model to estimate the association between the distance to the nearest SSB vendor (overall and by type) and the likelihood of daily SSB consumption. Our results show that proximity to the nearest SSB vendor was not statistically significantly associated with the likelihood of daily SSB consumption, regardless of type of vendor. Our results are robust to alternative model specifications, including replacing the linear minimum distance measure with count of the total number of SSB vendors or presence of a SSB vendor within a buffer around respondents' home intersections. We conclude that there is not a strong relationship between proximity to nearest SSB vendor, or proximity to a specific type of SSB vendor, and frequency of self-reported SSB consumption among fast food consumers in NYC. This suggests that policymakers focus on alternative strategies to curtail SSB consumption, such as improving the within-store food environment or taxing SSBs.

OBJECTIVE: Evidence on the effects of restaurant calorie labeling on consumer and restaurant behavior is mixed. This paper examined: (1) consumer responses to calorie information alone or compared to modified calorie information and (2) changes in restaurant offerings following or in advance of menu labeling implementation. METHODS: Searches were conducted in PubMed, Web of Science, Policy File, and PAIS International to identify restaurant calorie labeling studies through October 1, 2016, that measured calories ordered, consumed, or available for purchase on restaurant menus. The reference lists of calorie labeling articles were also searched. RESULTS: Fifty-three studies were included: 18 in real-world restaurants, 9 in cafeterias, and 21 in laboratory or simulation settings. Five examined restaurant offerings. CONCLUSIONS: Because of a lack of well-powered studies with strong designs, the degree to which menu labeling encourages lower-calorie purchases and whether that translates to a healthier population are unclear. Although there is limited evidence that menu labeling affects calories purchased at fast-food restaurants, some evidence demonstrates that it lowers calories purchased at certain types of restaurants and in cafeteria settings. The limited data on modified calorie labels find that such labels can encourage lower-calorie purchases but may not differ in effects relative to calorie labels alone.

The objective of this study was to examine the association between financial hardship, condomless anal intercourse and HIV risk among a sample of men who have sex with men (MSM). Users of a popular geosocial networking application in Paris were shown an advertisement with text encouraging them to complete a anonymous web-based survey (n = 580). In adjusted multivariate models, high financial hardship (compared to low financial hardship) was associated with engagement in condomless anal intercourse (aRR 1.28; 95% CI 1.08-1.52), engagement in condomless receptive anal intercourse (aRR 1.34; 95% CI 1.07-1.67), engagement in condomless insertive anal intercourse (aRR 1.30; 95% CI 1.01-1.67), engagement in transactional sex (aRR 2.36; 95% CI 1.47-3.79) and infection with non-HIV STIs (aRR 1.50; 95% CI 1.07-2.10). This study suggests that interventions to reduce financial hardships (e.g., income-based strategies to ensure meeting of basic necessities) could decrease sexual risk behaviors in MSM.