Faculty Bibliography

Sedentary behavior and lack of physical activity are key modifiable behavioral risk factors for chronic health problems, such as obesity and diabetes. Little is known about how sedentary behavior and physical activity among adolescents spatially cluster. The objective was to detect spatial clustering of sedentary behavior and physical activity among Boston adolescents. Data were used from the 2008 Boston Youth Survey Geospatial Dataset, a sample of public high school students who responded to a sedentary behavior and physical activity questionnaire. Four binary variables were created: 1) TV watching (>2 hours/day), 2) video games (>2 hours/day), 3) total screen time (>2 hours/day); and 4) 20 minutes/day of physical activity (≥5 days/week). A spatial scan statistic was utilized to detect clustering of sedentary behavior and physical activity. One statistically significant cluster of TV watching emerged among Boston adolescents in the unadjusted model. Students inside the cluster were more than twice as likely to report > 2 hours/day of TV watching compared to respondents outside the cluster. No significant clusters of sedentary behavior and physical activity emerged. Findings suggest that TV watching is spatially clustered among Boston adolescents. Such findings may serve to inform public health policymakers by identifying specific locations in Boston that could provide opportunities for policy intervention. Future research should examine what is linked to the clusters, such as neighborhood environments and network effects.

OBJECTIVE:Focusing health interventions in places with suboptimal glycemic control can help direct resources to neighborhoods with poor diabetes-related outcomes, but finding these areas can be difficult. Our objective was to use indirect measures versus a gold standard, population-based A1C registry to identify areas of poor glycemic control. RESEARCH DESIGN AND METHODS/METHODS:Census tracts in New York City were characterized by race, ethnicity, income, poverty, education, diabetes-related emergency visits, inpatient hospitalizations, and proportion of adults with diabetes having poor glycemic control, based on A1C >9.0% (75 mmol/mol). Hot spot analyses were then performed, using the Getis-Ord Gi* statistic for all measures. We then calculated the sensitivity, specificity, positive and negative predictive values, and accuracy of using the indirect measures to identify hot spots of poor glycemic control found using the A1C Registry data. RESULTS:Using A1C Registry data, we identified hot spots in 42.8% of 2,085 NYC census tracts analyzed. Hot spots of diabetes-specific inpatient hospitalizations, diabetes-specific emergency visits, and age-adjusted diabetes prevalence estimated from emergency department data, respectively, had 88.9, 89.6, and 89.5% accuracy for identifying the same hot spots of poor glycemic control found using A1C Registry data. No other indirect measure tested had accuracy >80% except for the proportion of minority residents, which was 86.2%. CONCLUSIONS:Compared with demographic and socioeconomic factors, health care utilization measures more accurately identified hot spots of poor glycemic control. In places without a population-based A1C Registry, mapping diabetes-specific health care utilization may provide actionable evidence for targeting health interventions in areas with the highest burden of uncontrolled diabetes.

BACKGROUND:Local and national policies to encourage supermarket opening or expansion are popular strategies for improving access to healthy food for residents in neighborhoods lacking these types of stores, yet few evaluations of such initiatives exist. OBJECTIVE:Our aim was to test whether a newly opened supermarket in the Bronx, NY, changed household availability of healthy and unhealthy food items and reported daily consumption of these items among respondents residing in close proximity (≤0.5 mile) to the new supermarket. DESIGN/METHODS:This quasi-experimental study evaluated changes in purchasing and consumption habits of residents within 0.5 mile of the new supermarket as compared to residents living more than 0.5 mile from the supermarket. Data were collected through street intercept surveys at three different times: once before the store opened (March to August 2011) and in two follow-up periods (1 to 5 months and 13 to 17 months after the store opened). This study analyzed a subset of successfully geocoded resident intersections from the larger study. PARTICIPANTS/SETTING/METHODS:We surveyed 3,998 residents older than the age of 18 years in two Bronx neighborhoods about their food-purchasing behaviors before the store opened and in two follow-up periods. Responses from residents whose intersections were successfully geocoded (N=3,378) were analyzed to examine the consumption and purchasing behaviors of those in close proximity to the new store. INTERVENTION/METHODS:A new supermarket opened in a low-access neighborhood in the Bronx with the help of financial incentives through New York City's Food Retail Expansion to Support Health (FRESH) program. MAIN OUTCOME MEASURES/METHODS:The primary outcome evaluated was the change in percent of respondents reporting that the following food items were "always available" in the home: milk, fruit juice, soda, pastries, packaged snacks, fruits, and vegetables. As a secondary outcome, we explored changes in self-reported daily servings of these items. STATISTICAL ANALYSIS PERFORMED/METHODS:A difference-in-difference analysis was performed, controlling for age, education, marital status, income, sex, race, and ethnicity. RESULTS:Residents within 0.5 mile of the store had increased household availability of both healthy and unhealthy foods. After the introduction of the supermarket, the percent of residents in close proximity to the store who reported always having produce available in the home increased by 8.8% compared to those living >0.5 mile from the store in the first post-period and by 10.6% compared to those living >0.5 mile from the store in the second post-period. A similar positive increase in household availability of salty snacks and pastries was observed. Residents living in close proximity also reported greater consumption of healthy foods like produce and water, and lower intake of soft drinks and pastries. CONCLUSIONS:Given the financial support at the national and local levels to encourage supermarket development and expansion in high-need communities, it is imperative to evaluate the impact of such initiatives. Although the findings have so far been equivocal, our findings give weight to the argument that, at a micro-level, the siting of a new supermarket can indeed impact local purchasing and consumption behavior. Although purchasing for both healthy and unhealthy food items increased, reported consumption showed an increase in servings of healthy items (water, vegetables, and fruit) and a decrease in servings of unhealthy foods (soft drinks, salty snacks, and pastries).

BACKGROUND:Little is known about the role of financial hardship as it relates to drug use, especially among men who have sex with men (MSM). As such, this study aimed to investigate potential associations between financial hardship status and drug use among MSM. METHODS:We conducted a cross-sectional survey of 580 MSM in Paris recruited using a popular geosocial-networking smartphone application (GSN apps). Descriptive analyses and multivariate analyses were performed. A modified Poisson model was used to assess associations between financial hardship status and use of drugs (any drugs, tobacco, alcohol, marijuana, inhalant nitrites, and club drugs). RESULTS:In our sample, 45.5% reported that it was somewhat, very, or extremely difficult to meet monthly payments of bills (high financial hardship). In multivariate analyses, a high level of financial hardship was significantly associated with an increased likelihood of reporting use of any substance use (adjusted risk ratio [aRR] = 1.15; 95% CI = 1.05-1.27), as well as use of tobacco (aRR = 1.45; 95% CI = 1.19-1.78), marijuana (aRR = 1.48; 95% CI =1.03-2.13), and inhalant nitrites (aRR = 1.24; 95% CI = 1.03-1.50). CONCLUSIONS:Financial hardship was associated with drug use among MSM, suggesting the need for interventions to reduce the burden of financial hardship in this population.

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.

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 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.