OBJECTIVE Evaluate the impact of a grab-and-go component embedded within a larger intervention designed to promote School Breakfast Program (SBP) participation. DESIGN Secondary data analysis. SETTING Rural Minnesota high schools. PARTICIPANTS Eight schools were enrolled in the grab-and-go only intervention component. An at-risk sample of students (n = 364) who reported eating breakfast ≤3 d/wk at baseline was enrolled at these schools. INTERVENTIONS Grab-and-go style breakfast carts and policies were introduced to allow all students to eat outside the cafeteria. MAIN OUTCOME MEASURES Administrative records were used to determine percent SBP participation (proportion of non-absent days on which fully reimbursable meals were received) for each student and school-level averages. ANALYSIS Linear mixed models. RESULTS School-level increases in SBP participation from baseline to the school year of intervention implementation were observed for schools enrolled in the grab-and-go only component (13.0% to 22.6%). Student-level increases in SBP participation were observed among the at-risk sample (7.6% to 21.9%) and among subgroups defined by free- or reduced-price meal eligibility and ethnic or racial background. Participation in SBP increased among students eligible for free or reduced-price meals from 13.9% to 30.7% and among ineligible students from 4.3% to 17.2%. CONCLUSIONS AND IMPLICATIONS Increasing access to the SBP and social support for eating breakfast are effective promotion strategies.

<div class="abstract" data-abstract-type="normal"><div class='sec'><span class="bold">Objective</span><p>Hunger relief agencies have a limited capacity to monitor the nutritional quality of their food. Validated measures of food environments, such as the Healthy Eating Index-2010 (HEI-2010), are challenging to use due to their time intensity and requirement for precise nutrient information. A previous study used out-of-sample predictions to demonstrate that an alternative measure correlated well with the HEI-2010. The present study revised the Food Assortment Scoring Tool (FAST) to facilitate implementation and tested the tool’s performance in a real-world food pantry setting.</p></div><div class='sec'><span class="bold">Design</span><p>We developed a FAST measure with thirteen scored categories and thirty-one sub-categories. FAST scores were generated by sorting and weighing foods in categories, multiplying each category’s weight share by a healthfulness parameter and summing the categories (range 0–100). FAST was implemented by recording all food products moved over five days. Researchers collected FAST and HEI-2010 scores for food availability and foods selected by clients, to calculate correlations.</p></div><div class='sec'><span class="bold">Setting</span><p>Five food pantries in greater Minneapolis/St. Paul, Minnesota, USA.</p></div><div class='sec'><span class="bold">Subjects</span><p>Food carts of sixty food pantry clients.</p></div><div class='sec'><span class="bold">Results</span><p>The thirteen-category FAST correlated well with the HEI-2010 in prediction models (<span class='italic'>r</span> = 0·68). FAST scores averaged 61·5 for food products moved, 63·8 for availability and 62·5 for client carts. As implemented in the real world, FAST demonstrated good correlation with the HEI-2010 (<span class='italic'>r</span> = 0·66).</p></div><div class='sec'><span class="bold">Conclusions</span><p>The FAST is a flexible, valid tool to monitor the nutritional quality of food in pantries. Future studies are needed to test its use in monitoring improvements in food pantry nutritional quality over time.</p></div></div>

In response to the limitations of siloed weight-related intervention approaches, scholars have called for greater integration that is intentional, strategic, and thoughtful between researchers, health care clinicians, community members, and policy makers as a way to more effectively address weight and weight-related (e.g., obesity, diabetes, cardiovascular disease, cancer) public health problems. The Mastery Matrix for Integration Praxis was developed by the Healthy Eating and Activity across the Lifespan (HEAL) team in 2017 to advance the science and praxis of integration across the domains of research, clinical practice, community, and policy to address weight-related public health problems. Integrator functions were identified and developmental stages were created to generate a rubric for measuring mastery of integration. Creating a means to systematically define and evaluate integration praxis and expertise will allow for more individuals and teams to master integration in order to work towards promoting a culture of health.

Objective: Little is known about customer purchases of foods and beverages from small and non-traditional food retailers (i.e. corner stores, gas-marts, dollar stores and pharmacies). The present study aimed to: (i) describe customer characteristics, shopping frequency and reasons for shopping at small and non-traditional food retailers; and (ii) describe food/beverage purchases and their nutritional quality, including differences across store type. Design: Data were collected through customer intercept interviews. Nutritional quality of food/beverage purchases was analysed; a Healthy Eating Index-2010 (HEI-2010) score for purchases was created by aggregating participant purchases at each store. Setting: Small and non-traditional food stores that were not WIC-authorized in Minneapolis and St. Paul, MN, USA. Subjects: Customers (n 661) from 105 food retailers. Results: Among participants, 29 % shopped at the store at least once daily; an additional 44 % shopped there at least once weekly. Most participants (74 %) cited convenient location as the primary draw to the store. Customers purchased a median of 2262 kJ (540 kcal), which varied by store type (P=0·04). The amount of added sugar far surpassed national dietary recommendations. At dollar stores, participants purchased a median of 5302 kJ (1266 kcal) for a median value of $US 2·89. Sugar-sweetened beverages were the most common purchase. The mean HEI-2010 score across all stores was 36·4. Conclusions: Small and non-traditional food stores contribute to the urban food environment. Given the poor nutritional quality of purchases, findings support the need for interventions that address customer decision making in these stores.

Purchases at small/non-traditional food stores tend to have poor nutritional quality, and have been associated with poor health outcomes, including increased obesity risk The purpose of this study was to examine whether customers who shop at small/non-traditional food stores with more health promoting features make healthier purchases. In a cross-sectional design, data collectors assessed store features in a sample of 99 small and non-traditional food stores not participating in the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) in Minneapolis/St. Paul, MN in 2014. Customer intercept interviews (n = 594) collected purchase data from a bag check and demographics from a survey. Store measures included fruit/vegetable and whole grain availability, an overall Healthy Food Supply Score (HFSS), healthy food advertisements and in-store placement, and shelf space of key items. Customer nutritional measures were analyzed using Nutrient Databases System for Research (NDSR), and included the purchase of ≥1 serving of fruits/vegetables; ≥1 serving of whole grains; and overall Healthy Eating Index-2010 (HEI-2010) score for foods/beverages purchased. Associations between store and customer measures were estimated in multilevel linear and logistic regression models, controlling for customer characteristics and store type. Few customers purchased fruits and vegetables (8%) or whole grains (8%). In fully adjusted models, purchase HEI-2010 scores were associated with fruit/vegetable shelf space (p = 0.002) and the ratio of shelf space devoted to healthy vs. less healthy items (p = 0.0002). Offering ≥14 varieties of fruit/vegetables was associated with produce purchases (OR 3.9, 95% CI 1.2–12.3), as was having produce visible from the store entrance (OR 2.3 95% CI 1.0 to 5.8), but whole grain availability measures were not associated with whole grain purchases. Strategies addressing both customer demand and the availability of healthy food may be necessary to improve customer purchases. ClinialTrials.gov: NCT02774330 . Registered May 4, 2016 (retrospectively registered).

Prices affect food purchase decisions, particularly in lower-income communities, where access to a range of food retailers (including supermarkets) is limited. The aim of this study was to examine differences in staple food pricing between small urban food stores and the closest supermarkets, as well as whether pricing differentials varied based on proximity between small stores and larger retailers. In 2014, prices were measured for 15 staple foods during store visits in 140 smaller stores (corner stores, gas-marts, dollar stores, and pharmacies) in Minneapolis/St. Paul, MN and their closest supermarket. Mixed models controlling for store type were used to estimate the average price differential between: (a) smaller stores and supermarkets; (b) isolated smaller stores (&gt;1 mile to closest supermarket) and non-isolated smaller stores; and (c) isolated smaller stores inside versus outside USDA-identified food deserts. On average, all items except white bread were 10–54% more expensive in smaller stores than in supermarkets (p &lt; 0.001). Prices were generally not significantly different in isolated stores compared with non-isolated stores for most items. Among isolated stores, there were no price differences inside versus outside food deserts. We conclude that smaller food stores have higher prices for most staple foods compared to their closest supermarket, regardless of proximity. More research is needed to examine staple food prices in different retail spaces.

ABSTRACTSince the start of the 2007 economic downturn, reliance on emergency food assistance suppliers (eg, food pantries, also known as food shelves) has increased. Many food shelves strive to provide effective nutrition programs to serve their clients, even while they are faced with a scarcity of resources. Rigorous evaluation of the impact of such programming on dietary outcomes is therefore warranted. The aim of this study was to evaluate the effectiveness of a pilot cooking and nutrition education intervention among food shelf clients. A 6-session class was conducted with 63 participants in 4 food shelves in Minneapolis and St. Paul, Minnesota. Diet was assessed through a 24-hour recall from which a Healthy Eating Index (HEI-2010) score was created. Cooking skills were assessed by survey. Average HEI-2010 scores increased from 50.9 at baseline to 58.5 postintervention (P = .01, n = 43). Participants demonstrated improved cooking skills scores postintervention (35.9 vs 33.1 at baseline, P = .002, n = ...

BACKGROUND The promotion of healthy eating and physical activity within school settings is an important component of population-based strategies to prevent obesity; however, adolescents may be vulnerable to weight-related messages, as rapid development during this life stage often leads to preoccupation with body size and shape. OBJECTIVE This study examines secular trends in secondary school curricula topics relevant to the prevention of unhealthy weight-control behaviors; describes cross-sectional associations between weight-related curricula content and students’ use of weight-control behaviors; and assesses whether implementation of school-based obesity-prevention policies/practices is longitudinally related to students’ weight-control behaviors. DESIGN The Minnesota School Health Profiles and Minnesota Student Survey (grades 9 and 12) data were used along with National Center for Education Statistics data to examine secular trends, cross-sectional associations (n=141 schools), and longitudinal associations (n=42 schools). MAIN OUTCOME MEASURES Students self-reported their height and weight along with past-year use of healthy (eg, exercise), unhealthy (eg, fasting), and extreme (eg, use laxatives) weight-control behaviors. STATISTICAL ANALYSES PERFORMED Descriptive statistics, generalized estimating equations, and generalized linear regression models accounting for school-level demographics. RESULTS There was no observable pattern during the years 2008 to 2014 in the mean number of curricula topics addressing unhealthy weight-control behaviors, despite an increase in the prevalence of curricula addressing acceptance of body-size differences. Including three vs fewer weight-control topics and specifically including the topic of eating disorders in the curricula was related to a lower school-level percent of students using any extreme weight-control behaviors. In contrast, an overall measure of implementing school-based obesity-prevention policies/practices (eg, prohibited advertising) was unrelated to use of unhealthy or extreme behaviors. CONCLUSIONS Results suggest obesity-prevention policies/practices do not have unintended consequences for student weight-control behaviors and support the importance of school-based health education as part of efforts to prevent unhealthy behaviors.

BACKGROUND Customer intercept interviews are increasingly used to characterize food purchases at retail food outlets and restaurants; however, methodological procedures, logistical issues and response rates using intercept methods are not well described in the food environment literature. The aims of this manuscript were to 1) describe the development and implementation of a customer intercept interview protocol in a large, NIH-funded study assessing food purchases in small and midsize food retailers in Minneapolis and St. Paul, Minnesota, 2) describe intercept interview response rates by store type and environmental factors (e.g., neighborhood socioeconomic status, day/time, weather), and 3) compare demographic characteristics (e.g., gender, race/ethnicity) of participants versus non-participants. METHODS After a pilot phase involving 28 stores, a total of 616 interviews were collected from customers exiting 128 stores in fall 2014. The number of eligible customers encountered per hour (a measure of store traffic), participants successfully recruited per hour, and response rates were calculated overall and by store type, neighborhood socio-economic status, day and time of data collection, and weather. Response rates by store type, neighborhood socio-economic status, time and day of data collection, and weather, and characteristics of participants and non-participants were compared using chi-square tests. RESULTS The overall response rate was 35 %, with significantly higher response rates at corner/small grocery stores (47 %) and dollar stores (46 %) compared to food-gas marts (32 %) and pharmacies (26 %), and for data collection between 4:00-6:00 pm on weekdays (40 %) compared to weekends (32 %). The distribution of race/ethnicity, but not gender, differed between participants and non-participants (p < 0.01), with greater participation rates among those identified as Black versus White. CONCLUSIONS Customer intercept interviews can be successfully used to recruit diverse samples of customers at small and midsize food retailers. Future community-based studies using customer intercept interviews should collect data sufficient to report response rates and consider potential differences between the racial/ethnic composition of the recruited sample and the target population.

OBJECTIVE Little is known about the practices for stocking and procuring healthy food in non-traditional food retailers (e.g., gas-marts, pharmacies). The present study aimed to: (i) compare availability of healthy food items across small food store types; and (ii) examine owner/manager perceptions and stocking practices for healthy food across store types. DESIGN Descriptive analyses were conducted among corner/small grocery stores, gas-marts, pharmacies and dollar stores. Data from store inventories were used to examine availability of twelve healthy food types and an overall healthy food supply score. Interviews with managers assessed stocking practices and profitability. SETTING Small stores in Minneapolis and St. Paul, MN, USA, not participating in the Special Supplemental Nutrition Program for Women, Infants, and Children. SUBJECTS One hundred and nineteen small food retailers and seventy-one store managers. RESULTS Availability of specific items varied across store type. Only corner/small grocery stores commonly sold fresh vegetables (63% v. 8% of gas-marts, 0% of dollar stores and 23% of pharmacies). More than half of managers stocking produce relied on cash-and-carry practices to stock fresh fruit (53%) and vegetables (55%), instead of direct store delivery. Most healthy foods were perceived by managers to have at least average profitability. CONCLUSIONS Interventions to improve healthy food offerings in small stores should consider the diverse environments, stocking practices and supply mechanisms of small stores, particularly non-traditional food retailers. Improvements may require technical support, customer engagement and innovative distribution practices.

Place-based disparities in access to affordable food sources (e.g. supermarkets) have been well documented, but geographic access to emergency food sources (e.g. food panties, also known as food shelves) is unknown. This study examined the geography of emergency food in the Twin Cities, Minnesota. US Census and American Community Survey data were used to estimate the average distance to the closest food shelf according to area racial/ethnic composition and foreign-born group composition. In adjusted models, areas with the highest proportion of minority groups had shorter distances to the nearest food shelf (0.13–1.03 log-transformed miles, p < 0.05), as did census tracts with more residents born in East Africa and Latin America (0.29–0.31 log-transformed miles, p < 0.001). Areas with more racial/ethnic minorities and foreign-born groups may have access to emergency food, but efforts are needed to evaluate the healthfulness and culturally relevance of these offerings.

A major concern in food environment research is the lack of accuracy in commercial business listings of food stores, which are convenient and commonly used. Accuracy concerns may be particularly pronounced in rural areas. Ground-truthing or on-site verification has been deemed the necessary standard to validate business listings, but researchers perceive this process to be costly and time-consuming. This study calculated the accuracy and cost of ground-truthing three town/rural areas in Minnesota, USA (an area of 564 miles, or 908 km), and simulated a modified validation process to increase efficiency without comprising accuracy. For traditional ground-truthing, all streets in the study area were driven, while the route and geographic coordinates of food stores were recorded. The process required 1510 miles (2430 km) of driving and 114 staff hours. The ground-truthed list of stores was compared with commercial business listings, which had an average positive predictive value (PPV) of 0.57 and sensitivity of 0.62 across the three sites. Using observations from the field, a modified process was proposed in which only the streets located within central commercial clusters (the 1/8 mile or 200 m buffer around any cluster of 2 stores) would be validated. Modified ground-truthing would have yielded an estimated PPV of 1.00 and sensitivity of 0.95, and would have resulted in a reduction in approximately 88 % of the mileage costs. We conclude that ground-truthing is necessary in town/rural settings. The modified ground-truthing process, with excellent accuracy at a fraction of the costs, suggests a new standard and warrants further evaluation.