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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 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.