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The US Department of Agriculture (USDA) Supplemental Nutrition Assistance Program (SNAP) is the cornerstone of the US nutrition safety net. Each month, SNAP provides assistance to 40 million low-income Americans—nearly half of them children. A number of changes could strengthen the public health impacts of SNAP. This review first presents a framework describing the mechanisms through which SNAP policy can influence public health, particularly by affecting the food security, the diet quality, and, subsequently, the health of SNAP participants. We then discusspolicy opportunities with the greatest potential to strengthen the public health impacts of SNAP, organized into three areas: ( a) food production and distribution, ( b) benefit allocation, and ( c) eligibility and enrollment. For each section, we describe current policy and limitations of the status quo, suggest evidence-based opportunities for policy change to improve public health, and identify important areas for future research.

Background Early care and education (ECE) settings represent an important point of intervention for childhood obesity prevention efforts. The objective of this paper was to compare ECE licensing regulations for each Canadian province/territory to evidence-based, obesity prevention standards. Methods Two authors reviewed existing ECE regulations for each province/territory and examined whether the regulatory text supported standards for nutrition (n = 11), physical activity (n = 5) and screen time (n = 4). Provinces/territories were evaluated on the strength of regulatory language for each standard (i.e. fully, partially, or not addressed) and a total comprehensiveness score (maximum score of 20). ECE centres and homes were examined separately. Results The majority of provinces/territories required providers to follow Canada’s Food Guide, but few had regulations for specific foods or beverages. Most provinces/territories included standards related to written menus and drinking water, but the strength of these standards was weak. Many provinces/territories required physical activity and outdoor opportunities to be provided daily, but few included a time requirement. Only two provinces included any screen time standards. Total comprehensiveness scores averaged 5.7 for centres and 5.4 for homes. Conclusions Canadian provinces/territories have insufficient obesity prevention regulations in ECE settings, highlighting a potential point of intervention to prevent obesity.

BACKGROUND: Prior research on the restaurant environment and obesity risk is limited by cross-sectional data and a focus on specific geographic areas. OBJECTIVE: To measure the impact of changes in chain restaurant calories over time on body mass index (BMI). DESIGN: We used a first-difference model to examine whether changes from 2012 to 2015 in chain restaurant calories per capita were associated with percent changes in BMI. We also examined differences by race and county income, restaurant type, and initial body weight categories. SETTING: USA (207 counties across 39 states). PARTICIPANTS: 447,873 adult patients who visited an athenahealth medical provider in 2012 and 2015 where BMI was measured. MAIN OUTCOMES MEASURED: Percent change in objectively measured BMI from 2012 to 2015. RESULTS: Across all patients, changes in chain restaurant calories per capita were not associated with percent changes in BMI. For Black or Hispanic adults, a 10% increase in exposure to chain restaurant calories per capita was associated with a 0.16 percentage-point increase in BMI (95% CI 0.03, 0.30). This translates into a predicted weight increase of 0.89 pounds (or a 0.53% BMI increase) for an average weight woman at the 90th percentile of increases in the restaurant environment from 2012 to 2015 versus an increase 0.39 pounds (or 0.23% BMI increase) at the 10th percentile. Greater increases in exposure to chain restaurant calories also significantly increased BMI for Black or Hispanic adults receiving healthcare services in lower-income counties (0.26, 95% CI 0.04, 0.49) and with overweight/obesity (0.16, 95% CI 0.04, 0.29). LIMITATIONS: Generalizability to non-chain restaurants is unknown and the sample of athenahealth patients is relatively homogenous. CONCLUSIONS: Increased exposure to chain restaurant calories per capita was associated with increased weight gain among Black or Hispanic adults. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11606-020-05683-8) contains supplementary material, which is available to authorized users.

Importance Restaurants spend billions of dollars on marketing. However, little is known about the association between restaurant marketing and obesity risk in adults. Objective To examine associations between changes in per capita county-level restaurant advertising spending over time and changes in objectively measured body mass index (BMI) for adult patients. Design, setting, and participants This cohort study used regression models with county fixed effects to examine associations between changes in per capita county-level (370 counties across 44 states) restaurant advertising spending over time with changes in objectively measured body mass index (BMI) for US adult patients from 2013 to 2016. Different media types and restaurant types were analyzed together and separately. The cohort was derived from deidentified patient data obtained from athenahealth. The final analytic sample included 5 987 213 patients, and the analysis was conducted from March 2018 to November 2019. Exposure Per capita county-level chain restaurant advertising spending. Main outcomes and measures Individual-level mean BMI during the quarter. Results The included individuals were generally older (37.1% older than 60 years), female (56.8%), and commercially insured (53.5%). For the full population of 29 285 920 person-quarters, there was no association between changes in all restaurant advertising per capita (all media types, all restaurants) and changes in BMI. However, restaurant advertising spending was positively associated with weight gain for patients in low-income counties but not in high-income counties. A $1 increase in quarterly advertising per capita across all media and restaurant types was associated with a 0.053-unit increase in BMI (95% CI, 0.001-0.102) for patients in low-income counties, corresponding to a 0.12% decrease in BMI at the 10th percentile of changes in county advertising spending vs a 0.12% increase in BMI at the 90th percentile. Conclusions and relevance The results of this study suggest that restaurant advertising is associated with modest weight gain among adult patients in low-income counties. To date, there has been no public policy action or private sector action to limit adult exposure to unhealthy restaurant advertising. Efforts to decrease restaurant advertising in low-income communities should be intensified and rigorously evaluated to understand their potential for increasing health equity.

Objective:To compare the nutritional quality of children’s combination meals offered at large US chain restaurants characterised by three versions – default (advertised), minimum (lower-energy) and maximum (higher-energy).Design:We identified default children’s meals (n 92) from online restaurant menus, then constructed minimum and maximum versions using realistic additions, substitutions and/or portion size changes for existing menu items. Nutrition data were obtained from the MenuStat database. Bootstrapped linear models assessed nutrition differences between meal versions and the extent to which meal components (main dish, side dish, beverage) drove differences across versions. For each version, we examined the proportion of meals meeting the Guidelines for Responsible Food Marketing to Children.Setting:Twenty-six fast-food and fast-casual restaurants, in 2017.Participants:None.Results:Nutrient values differed significantly across meal versions for energy content (default 2443 kJ (584 kcal), minimum 1674 kJ (400 kcal), maximum 3314 kJ (792 kcal)), total fat (23, 17, 33 g), saturated fat (8, 6, 11 g), Na (1046, 915, 1287 mg) and sugar (35, 14, 51 g). The substitution of lower-energy beverages resulted in the greatest reduction in energy content (default to minimum, −418 kJ (−100 kcal)) and sugar (−20 g); choosing lower-energy side dishes resulted in the greatest reduction in total fat (default to minimum, −4 g), saturated fat (−1·1 g) and Na (−69 mg). Only 3 % of meals met guidelines for all nutrients.Conclusions:Realistic modifications to children’s combination meals using existing menu options can significantly alter a meal’s nutrient composition. Promoting lower-energy items as the default option, especially for beverages and side dishes, has a potential to reduce fat, saturated fat and/or sugar in children’s meals.

Objective:To understand price incentives to upsize combination meals at fast-food restaurants by comparing the calories (i.e. kilocalories; 1 kcal = 4·184 kJ) per dollar of default combination meals (as advertised on the menu) with a higher-calorie version (created using realistic consumer additions and portion-size changes).Design:Combination meals (lunch/dinner:n258, breakfast:n68, children’s:n34) and their prices were identified from online menus; corresponding nutrition information for each menu item was obtained from a restaurant nutrition database (MenuStat). Linear models were used to examine the difference in total calories per dollar between default and higher-calorie combination meals, overall and by restaurant.Setting:Ten large fast-food chain restaurants located in the fifteen most populous US cities in 2017–2018.Participants:None.Results:There were significantly more calories per dollar in higher-caloriev.default combination meals for lunch/dinner (default: 577 kJ (138 kcal)/dollar, higher-calorie: 707 kJ (169 kcal)/dollar, difference: 130 kJ (31 kcal)/dollar,P< 0·001) and breakfast (default: 536 kJ (128 kcal)/dollar, higher-calorie: 607 kJ (145 kcal)/dollar, difference: 71 kJ (17 kcal)/dollar,P= 0·009). Results for children’s meals were in the same direction but were not statistically significant (default: 536 kJ (128 kcal)/dollar, higher-calorie: 741 kJ (177 kcal)/dollar, difference: 205 kJ (49 kcal)/dollar,P= 0·053). Across restaurants, the percentage change in calories per dollar for higher-caloriev. default combination meals ranged from 0·1 % (Dunkin’ Donuts) to 55·0 % (Subway).Conclusions:Higher-calorie combination meals in fast-food restaurants offer significantly more calories per dollar compared with default combination meals, suggesting there is a strong financial incentive for consumers to ‘upsize’ their orders. Future research should test price incentives for lower-calorie options to promote healthier restaurant choices.

Objective The objective of this study is to summarize evidence for strategies designed to reduce sugar-sweetened beverage (SSB) consumption among children aged 0 to 5 years. Data sources PubMed, Web of Science, EMBASE, CINAHL, ERIC, Cab Abstracts and the Cochrane Central Register of Controlled Trials are the electronic databases searched in this systematic review. Study selection Each included study evaluated an intervention to reduce SSB consumption in children aged 0 to 5 years, was conducted in a high-income country and was published between 1 January 2000 and 15 December 2017. Data synthesis Twenty-seven studies met the inclusion criteria. The primary intervention settings were healthcare (n = 11), preschool/daycare (n = 4), home (n = 3), community venues (n = 3) and other settings (n = 6). Overarching strategies which successfully reduced SSB consumption included (i) in-person individual education, (ii) in-person group education, (iii) passive education (e.g. pamphlets), (iv) use of technology, (v) training for childcare/healthcare providers and (vi) changes to the physical access of beverages. Studies were of moderate methodological quality (average score of 20.7/29.0 for randomized studies; 3.1/9.0 for non-randomized studies). Conclusions Evidence suggests that interventions successful at reducing SSB consumption among 0-year to 5-year olds often focused on vulnerable populations, were conducted in preschool/daycare settings, specifically targeted only SSBs or only oral hygiene, included multiple intervention strategies and had higher intervention intensity/contact time.

Summary In view of the prevalence, health consequences, and costs of childhood obesity, there has been substantial interest in identifying effective interventions to prevent excess weight gain in young people. In this systematic review, we expand on previous reviews of obesity prevention interventions by including recent studies (until May 23, 2017) from all parts of the world. We searched MEDLINE, Embase, CINAHL Plus, Web of Science, CAB Abstracts, and PAIS Index and included randomised controlled trials, quasi-experimental studies, or natural experiments with: (1) a control group; (2) minimum follow-up of 12 months for community-based and home-based interventions or 6 months for school-based and preschool-based interventions; and (3) a primary outcome of BMI, BMI Z score, BMI percentile, body fat percentage, skinfold thickness, waist circumference, or prevalence of overweight or obesity. School-based interventions with combined diet and physical activity components and a home element (n=41) had greatest effectiveness; evidence in support of the effect of preschool-based (n=6), community-based (n=7), and home-based (n=2) interventions was limited by a paucity of studies and heterogeneity in study design. The effectiveness of school-based interventions that combined diet and physical activity components suggests that they hold promise for childhood obesity prevention worldwide. More research with rigorous evaluation and consistent reporting is needed in non-school settings and in combinations of settings.

The Supplemental Nutrition Assistance Program is the largest U.S. federally funded nutrition assistance program, providing food assistance to more than 40 million low-income Americans, half of whom are children. This paper examines trends in sugar-sweetened beverage consumption among U.S. children and adolescents by Supplemental Nutrition Assistance Program participation status.Dietary data from 15,645 participants (aged 2-19 years) were obtained from the 2003-2014 National Health and Nutrition Examination surveys. Supplemental Nutrition Assistance Program participation was categorized as: Supplemental Nutrition Assistance Program participant, income-eligible nonparticipant, lower income-ineligible nonparticipant, and higher income-ineligible nonparticipant. Survey-weighted logistic regressions estimated predicted probabilities of daily sugar-sweetened beverage consumption, and negative binomial regressions estimated predicted per capita daily consumption of sugar-sweetened beverage calories. Data were analyzed in 2019.From 2003 to 2014, there were significant declines across all Supplemental Nutrition Assistance Program participation categories for sugar-sweetened beverage consumption (participants: 84.2% to 75.6%, p=0.009; income-eligible nonparticipants: 85.8% to 67.5%, p=0.004; lower income-ineligible nonparticipants: 84.3% to 70.6%, p=0.026; higher income-ineligible nonparticipants: 82.2% to 67.7%, p=0.001) and per capita daily sugar-sweetened beverage calories (participants: 267 to 182 kilocalories, p0.001; income-eligible nonparticipants: 269 to 168 kilocalories, p0.001; lower income-ineligible nonparticipants: 249 to 178 kilocalories, p=0.008; higher income-ineligible nonparticipants: 244 to 161 kilocalories, p0.001). Per capita sports/energy drink consumption increased among Supplemental Nutrition Assistance Program participants (2 to 15 kilocalories, p=0.007).Sugar-sweetened beverage consumption has declined for children and adolescents in all Supplemental Nutrition Assistance Program participation categories, but current levels remain high. There were fewer favorable trends over time for consumption of sugar-sweetened beverage subtypes among Supplemental Nutrition Assistance Program participants relative to other participant categories.

Introduction The nutrient profile of combination meals in large chain restaurants is not well understood. Methods Combination meals from 34 U.S. fast food and fast casual restaurants (lunch/dinner, n=1,113; breakfast, n=366) were identified from online menus in 2017–2018 and corresponding nutrition information for each menu item was obtained from a restaurant nutrition database (MenuStat). Three options for each combination meal were analyzed: (1) default (as advertised on menu), (2) minimum (low-calorie option), and (3) maximum (high-calorie option). In 2018, meal nutrient composition was compared with the Healthier Restaurant Meal Guidelines, and linear models examined to what extent each meal component (entree, side, beverage) drove differences in nutrients across meal options. Results There was substantial variation across the default, minimum, and maximum options of lunch/dinner combination meals for calories (default,: 1,193 kilocalories;, minimum,: 767 kilocalories;, maximum,: 1,685 kilocalories), saturated fat (14 g, 11 g, 19 g), sodium (2,110 mg, 1,783 mg, 2,823 mg), and sugar (68 g, 10 g, 117 g). Most default meals exceeded the Healthier Restaurant Meal Guidelines for calories (97%) and sodium (99%); fewer exceeded the standards for saturated fat (50%) and total sugar (6%). Comparing the maximum and default lunch/dinner combination meals, beverages were the largest driver of differences in calories (178 kilocalories, 36% of difference) and sugar (46 g, 93% of difference), and entrees were the largest driver of differences in saturated fat (3 g, 59% of difference) and sodium (371 g, 52% of difference). Results were similar for breakfast meals. Conclusions Combination meals offered by large U.S. chain restaurants are high in calories, sodium, saturated fat, and sugar, with most default meals exceeding recommended limits for calories and sodium.

Although beverages comprise one third of all menu items at large chain restaurants, no prior research has examined trends in their calorie and nutrient content.Beverages (n=13,879) on the menus of 63 U.S. chain restaurants were the final analytic sample obtained from a restaurant nutrition database (MenuStat, 2012-2017). For each beverage type, cluster-bootstrapped mixed-effects regressions estimated changes in mean calories, sugar, and saturated fat for beverages available on menus in all years and for newly introduced beverages. Data were analyzed in 2018.Traditional sugar-sweetened beverages, sweetened teas, and blended milk-based beverages (e.g., milkshakes) were significantly higher in calories from 2012 to 2017 for newly introduced beverages (p-value for trend0.004). For all newly introduced sweetened beverages, sugar increased significantly (2015, +7.9 g; 2016, +8.2 g; p0.004) whereas saturated fat declined (2016, -2.3 g; 2017, -1.6 g; p0.004). For beverages on menus in all years, saturated fat declined significantly (p0.001), whereas mean calories and sugar remained relatively constant. Significant declines were observed for sweetened coffees (-10 kcal, -0.5 g saturated fat, p0.001), teas (-2.6 g sugar, p=0.001), and blended milk-based beverages (-28 kcal, -4.2 g sugar, -0.8 g saturated fat, p0.001). From 2012 to 2017, the total number of beverage offerings increased by 155%, with 82% of this change driven by sweetened beverages.Sweetened beverages available in large chain restaurants were consistently high in calories, sugar, and saturated fat and substantially increased in quantity and variety from 2012 to 2017.

ObjectivesTo summarize stakeholder recommendations and ratings of strategies to reduce sugar-sweetened beverage (SSB) consumption and increase water access and intake among young children (0–5 years).DesignTwo online surveys: survey 1 asked respondents to recommend novel and innovative strategies to promote healthy beverage behaviour; survey 2 asked respondents to rank each of these strategies on five domains (overall importance, feasibility, effectiveness, reach, health equity). Open-ended questions were coded and analysed for thematic content.SettingUsing a snowball sampling approach, respondents were invited to complete the survey through an email invitation or an anonymous listserv link. Of the individuals who received a private email invitation, 24 % completed survey 1 and 29 % completed survey 2.SubjectsSurvey 1 (n 276) and survey 2 (n 182) included expert stakeholders who work on issues related to SSB and water consumption.ResultsSix overarching strategies emerged to change beverage consumption behaviours (survey 1): education; campaigns and contests; marketing and advertising; price changes; physical access; and improving the capacity of settings to promote healthy beverages. Labelling and sugar reduction (e.g. reformulation) were recommended as strategies to reduce SSB consumption, while water testing and remediation emerged as a strategy to promote water intake. Stakeholders most frequently recommended (survey 1) and provided higher ratings (survey 2) to strategies that used policy, systems and/or environmental changes.ConclusionsThe present study is the first to assess stakeholder opinions on strategies to promote healthy beverage consumption. This knowledge is key for understanding where stakeholders believe resources can be best utilized.

OBJECTIVES: To characterize the nutrient profile of combination meals and understand price incentives to upsize at large U.S. fast food and fast casual restaurants. METHODS: Combination meals (n = 1479) from 34 U.S. fast food and fast casual restaurants were identified from online menus and corresponding nutrition information was obtained from a restaurant nutrition database (MenuStat). Three options for each meal were analyzed: 1) default (as advertised on menu), 2) minimum (low-calorie option), and 3) maximum (high-calorie option). The nutrient composition of meals was compared to the Healthier Restaurant Meal Guidelines, and linear models examined to what extent each meal component (entrée, side, beverage) drove differences in nutrients across meal options. Prices were obtained from restaurant websites for a subset of combination meals (n = 326) and linear models were used to examine the difference in total calories per dollar between default and maximum options. RESULTS: There was substantial variation across combination meal options for calories (default: 1193 kcal; minimum: 767 kcal; maximum: 1685 kcal), saturated fat (14 g; 11 g; 19 g), sodium (2110 mg; 1783 mg; 2823 mg), and sugar (68 g; 10 g; 117 g). Most default meals exceeded the Healthier Restaurant Meal Guidelines for calories (97%) and sodium (99%); fewer exceeded the standards for saturated fat (50%) and total sugar (6%). Comparing maximum and default meals, beverages were the largest driver of differences in calories (178 kcal, 36% of difference) and sugar (46 g, 93%), and entrées were the largest driver of differences in saturated fat (3 g, 59%) and sodium (371 g, 52%). There were significantly more calories per dollar in maximum versus default meals (169 kcal/dollar vs. 138 kcal/dollar). CONCLUSIONS: Default combination meals offered by large U.S. chain restaurants are high in calories, sodium, saturated fat, and sugar. Maximum meals offer significantly more calories per dollar compared to default meals, suggesting there is a strong financial incentive for consumers to “upsize” their orders. Industry and governmental policies that improve the nutritional profile of default meals and financially incentivize lower-calorie meals may be promising strategies for improving dietary behaviors in restaurants. FUNDING SOURCES: None.

Objective To determine the influence of screen-based peer modeling on children's vegetable consumption and preference. Methods A total of 42 children aged 3–5 years were randomly assigned to view individually a video segment of peers consuming a modeled vegetable (bell pepper), vs a nonfood video segment or no video. Analysis of covariance models examined bell pepper preference and consumption during initial video exposure (day 1) and without video exposure (days 2 and 7), adjusted for age, sex, body mass index, and initial bell pepper consumption. Results Children in the vegetable condition ate more bell peppers (15.5 g) than did those in the control condition (5.9 g; P = .04; model η 2 = 0.85) on day 7, with no differences on days 1 or 2. Among children who ate the modeled vegetable, those in the vegetable DVD condition reported greater preference for eating the vegetable again ( P = .01). Conclusions and Implications Screen-based peer modeling is a promising tool to influence children's vegetable consumption.