Faculty Bibliography

Importance: Decreasing the amount of caloric beverages consumed and simultaneously increasing water consumption is important to promoting child health and decreasing the prevalence of childhood obesity. Objective: To estimate the impact of water jets (electrically cooled, large clear jugs with a push lever for fast dispensing) on standardized body mass index, overweight, and obesity in elementary school and middle school students. Milk purchases were explored as a potential mechanism for weight outcomes. Design, Setting, and Participants: This quasi-experimental study used a school-level database of cafeteria equipment deliveries between the 2008-2009 and 2012-2013 and included a sample of 1227 New York, New York, public elementary schools and middle schools and the 1065562 students within those schools. Intervention: Installation of water jets in schools. Main Outcomes and Measures: Individual body mass index (BMI) was calculated for all students in the sample using annual student-level height and weight measurements collected as part of New York's FITNESSGRAM initiative. Age- and sex-specific growth charts produced by the Centers for Disease Control and Prevention were used to categorize students as overweight and obese. The hypothesis that water jets would be associated with decreased standardized BMI, overweight, and obesity was tested using a difference-in-difference strategy, comparing outcomes for treated and nontreated students before and after the introduction of a water jet. Results: This study included 1 065 562 students within New York City public elementary schools and middle schools. There was a significant effect of water jets on standardized BMI, such that the adoption of water jets was associated with a 0.025 (95% CI, -0.038 to -0.011) reduction of standardized BMI for boys and a 0.022 (95% CI, -0.035 to -0.008) reduction of standardized BMI for girls (P < .01). There was also a significant effect on being overweight. Water jets were associated with a 0.9 percentage point reduction (95% CI, 0.015-0.003) in the likelihood of being overweight for boys and a 0.6 percentage reduction (95% CI, 0.011-0.000) in the likelihood of being overweight for girls (P < .05). We also found a 12.3 decrease (95% CI, -19.371 to -5.204) in the number of all types of milk half-pints purchased per student per year (P < .01). Conclusions and Relevance: Results from this study show an association between a relatively low-cost water availability intervention and decreased student weight. Milk purchases were explored as a potential mechanism. Additional research is needed to examine potential mechanisms for decreased student weight, including reduced milk taking, as well as assessing impacts on longer-term outcomes.

INTRODUCTION: People with a mental health diagnosis have high rates of tobacco use and encounter limited availability of tobacco treatment targeted to their needs. This study compared the effectiveness of a specialized telephone smoking-cessation intervention developed for mental health patients with standard state quit-line counseling. DESIGN: RCT. SETTING/PARTICIPANTS: The study was conducted at six Veterans Health Administration facilities in the Northeast U.S. Participants were 577 mental health clinic patients referred by their providers for smoking-cessation treatment. INTERVENTION: From 2010 to 2012, the study implemented a telephone program that included patient referral from a mental health provider, mailed cessation medications, and telephone counseling. Participants were randomized to receive a specialized multisession telephone counseling protocol (n=270) or transfer to their state's quit-line for counseling (n=307). MAIN OUTCOME MEASURES: Participants completed telephone surveys at baseline, 2 months, and 6 months. The study's primary outcome was self-reported 30-day abstinence at 6 months. Secondary outcomes were self-reported 30-day abstinence, counseling satisfaction and counseling content at 2 months, and self-reported use of cessation treatment and quit attempts at 6 months. Logistic regression was used to compare treatment groups on outcomes, controlling for baseline cigarettes per day and site. Inverse probability weighting and multiple imputation were used to handle missing abstinence outcomes. Data were analyzed in 2014-2015. RESULTS: At 6 months, participants in the specialized counseling arm were more likely to report 30-day abstinence (26% vs 18%, OR=1.62, 95% CI=1.24, 2.11). There was no significant group difference in abstinence at 2 months (18% vs 14%, OR=1.31, 95% CI=0.49, 3.49). Participants in the specialized arm were more likely to be assisted with developing a quit plan; receive follow-up calls after quitting; and receive counseling on several domains, including motivation, confidence, smoking triggers, coping with urges, and mental health symptoms (all p<0.05). Specialized counseling participants were more satisfied with treatment and more likely to find the counseling useful (p<0.05). CONCLUSIONS: The specialized counseling intervention was more effective at helping patients quit than transfer to a state quit-line. Patients were more satisfied with the specialized counseling program. TRIAL REGISTRATION: This study is registered at www.clinicaltrials.gov NCT00724308.

To follow up on a previous study that examined how the mandated displaying of calorie information on menu boards in fast-food restaurants in New York City influenced consumers' behavior, we analyzed itemized cash register receipts and survey responses from 7,699 consumers at four fast-food chains. Using a difference-in-differences study design, we found that consumers exposed to menu labeling immediately after the mandate took effect in 2008 and at three points in 2013-14 reported seeing and using the information more often than their counterparts at fast-food restaurants without menu labeling. In each successive period of data collection, the percentage of respondents noticing and using the information declined, while remaining above the prelabeling baseline. There were no statistically significant changes over time in levels of calories or other nutrients purchased or in the frequency of visits to fast-food restaurants. Menu labeling at fast-food chain restaurants, which the Affordable Care Act requires to be implemented nationwide in 2016, remains an unproven strategy for improving the nutritional quality of consumer food choices at the population level. Additional policy efforts that go beyond labeling and possibly alter labeling to increase its impact must be considered.

OBJECTIVE: To assess the impact of a new government-subsidized supermarket in a high-need area on household food availability and dietary habits in children. DESIGN: A difference-in-difference study design was utilized. SETTING: Two neighbourhoods in the Bronx, New York City. Outcomes were collected in Morrisania, the target community where the new supermarket was opened, and Highbridge, the comparison community. SUBJECTS: Parents/caregivers of a child aged 3-10 years residing in Morrisania or Highbridge. Participants were recruited via street intercept at baseline (pre-supermarket opening) and at two follow-up periods (five weeks and one year post-supermarket opening). RESULTS: Analysis is based on 2172 street-intercept surveys and 363 dietary recalls from a sample of predominantly low-income minorities. While there were small, inconsistent changes over the time periods, there were no appreciable differences in availability of healthful or unhealthful foods at home, or in children's dietary intake as a result of the supermarket. CONCLUSIONS: The introduction of a government-subsidized supermarket into an underserved neighbourhood in the Bronx did not result in significant changes in household food availability or children's dietary intake. Given the lack of healthful food options in underserved neighbourhoods and need for programmes that promote access, further research is needed to determine whether healthy food retail expansion, alone or with other strategies, can improve food choices of children and their families.

OBJECTIVES: We sought to improve public health surveillance by using a geographic analysis of emergency department (ED) visits to determine local chronic disease prevalence. METHODS: Using an all-payer administrative database, we determined the proportion of unique ED patients with diabetes, hypertension, or asthma. We compared these rates to those determined by the New York City Community Health Survey. For diabetes prevalence, we also analyzed the fidelity of longitudinal estimates using logistic regression and determined disease burden within census tracts using geocoded addresses. RESULTS: We identified 4.4 million unique New York City adults visiting an ED between 2009 and 2012. When we compared our emergency sample to survey data, rates of neighborhood diabetes, hypertension, and asthma prevalence were similar (correlation coefficient = 0.86, 0.88, and 0.77, respectively). In addition, our method demonstrated less year-to-year scatter and identified significant variation of disease burden within neighborhoods among census tracts. CONCLUSIONS: Our method for determining chronic disease prevalence correlates with a validated health survey and may have higher reliability over time and greater granularity at a local level. Our findings can improve public health surveillance by identifying local variation of disease prevalence. (Am J Public Health. Published online ahead of print July 16, 2015: e1-e8. doi:10.2105/AJPH.2015.302679).

We assessed purchases made, motivations for shopping, and frequency of shopping at four New York City corner stores (bodegas). Surveys and purchase inventories (n = 779) were collected from consumers at four bodegas in Bronx, NY. We use Chi square tests to compare types of consumers, items purchased and characteristics of purchases based on how frequently the consumer shops at the specific store and the time of day the purchase was made. Most consumers shopped at the bodega because it was close to their home (52 %). The majority (68 %) reported shopping at the bodega at least once per day. The five most commonly purchased items were sugary beverages, (29.27 %), sugary snacks (22.34 %), coffee, (13.99 %), sandwiches, (13.09 %) and non-baked potato chips (12.2 %). Nearly 60 % of bodega customers reported their purchase to be healthy. Most of the participants shopped at the bodega frequently, valued its convenient location, and purchased unhealthy items. Work is needed to discover ways to encourage healthier choices at these stores.

This study examines purchases at fruit and vegetable carts and evaluates the potential benefits of expanding the availability of electronic benefit transfer machines at Green Carts. Customers at 4 Green Carts in the Bronx, New York, were surveyed in 3 waves from June 2013 through July 2014. Customers who used Supplemental Nutrition Assistance Program benefits spent on average $3.86 more than customers who paid with cash. This finding suggests that there may be benefits to increasing the availability of electronic benefit transfer machines at Green Carts.

BACKGROUND: Consuming a variety (vs. monotony) of energy-poor, nutrient-dense foods may help individuals adhere to dietary patterns favorably associated with weight control. OBJECTIVE: The objective of this study was to examine whether greater healthful food variety quantified using the US Healthy Food Diversity (HFD) index favorably influenced body adiposity. METHODS: Men and nonpregnant, nonlactating women aged >/=20 y with two 24-h recalls from the cross-sectional NHANES 2003-2006 (n = 7470) were included in this study. Dietary recalls were merged with the MyPyramid Equivalent database to generate the US HFD index, which ranges from 0 to approximately 1, with higher scores indicative of diets with a higher number and proportion of healthful foods. Multiple indicators of adiposity including BMI, waist-to-height ratio, android-to-gynoid fat ratio, fat mass index (FMI), and percentage body fat were assessed across US HFD index quintiles. ORs and 95% CIs were computed with use of multivariable logistic regression (SAS v. 9.3). RESULTS: The US HFD index was inversely associated with most adiposity indicators in both sexes. After multivariable adjustment, the odds of obesity, android-to-gynoid ratio >1, and high FMI were 31-55% lower (P-trend < 0.01) among women in quintile 5 vs. quintile 1 of the US HFD index. Among men, the odds of obesity, waist-to-height ratio >/=0.5, and android-to-gynoid ratio >1 were 40-48% lower (P-trend