Projected U.S. State-Level Prevalence of Adult Obesity and Severe Obesity.

BACKGROUND: Although the national obesity epidemic has been well documented, less is known about obesity at the U.S. state level. Current estimates are based on body measures reported by persons themselves that underestimate the prevalence of obesity, especially severe obesity. METHODS: We developed methods to correct for self-reporting bias and to estimate state-specific and demographic subgroup-specific trends and projections of the prevalence of categories of body-mass index (BMI). BMI data reported by 6,264,226 adults (18 years of age or older) who participated in the Behavioral Risk Factor Surveillance System Survey (1993-1994 and 1999-2016) were obtained and corrected for quantile-specific self-reporting bias with the use of measured data from 57,131 adults who participated in the National Health and Nutrition Examination Survey. We fitted multinomial regressions for each state and subgroup to estimate the prevalence of four BMI categories from 1990 through 2030: underweight or normal weight (BMI [the weight in kilograms divided by the square of the height in meters], <25), overweight (25 to <30), moderate obesity (30 to <35), and severe obesity (≥35). We evaluated the accuracy of our approach using data from 1990 through 2010 to predict 2016 outcomes. RESULTS: The findings from our approach suggest with high predictive accuracy that by 2030 nearly 1 in 2 adults will have obesity (48.9%; 95% confidence interval [CI], 47.7 to 50.1), and the prevalence will be higher than 50% in 29 states and not below 35% in any state. Nearly 1 in 4 adults is projected to have severe obesity by 2030 (24.2%; 95% CI, 22.9 to 25.5), and the prevalence will be higher than 25% in 25 states. We predict that, nationally, severe obesity is likely to become the most common BMI category among women (27.6%; 95% CI, 26.1 to 29.2), non-Hispanic black adults (31.7%; 95% CI, 29.9 to 33.4), and low-income adults (31.7%; 95% CI, 30.2 to 33.2). CONCLUSIONS: Our analysis indicates that the prevalence of adult obesity and severe obesity will continue to increase nationwide, with large disparities across states and demographic subgroups. (Funded by the JPB Foundation.).

Purchases of Nontaxed Foods, Beverages, and Alcohol in a Longitudinal Cohort After Implementation of the Philadelphia Beverage Tax.

BACKGROUND: Evidence suggests that sweetened beverage taxes reduce taxed beverage purchases, but few studies have used individual-level data to assess whether these taxes affect purchases of nontaxed foods, beverages, and alcohol. Additionally, research has not examined whether sweetened beverage taxes influence restaurant purchases. OBJECTIVES: We assessed changes in individuals' purchases of taxed beverage types; low-calorie/low-added-sugar nontaxed beverages; high-calorie/high-added-sugar nontaxed beverages, foods, and alcohol; and beverages from restaurants following implementation of the 1.5 cent-per-ounce Philadelphia sweetened beverage tax. METHODS: A longitudinal cohort of adult sugar-sweetened beverage consumers in Philadelphia (n = 306; 67% female; mean age: 43.9 years) and Baltimore (n = 297; comparison city without a beverage tax; 58% female; mean age: 41.7 years) submitted all food and beverage receipts during 2-week periods at baseline and at 3, 6, and 12 months posttax. Difference-in-differences analyses compared changes in purchases from pre- to posttax in Philadelphia to changes in Baltimore. RESULTS: Purchases of taxed juice drinks [ratio of incidence rate ratios (RIRR) = 0.62; 95% CI, 0.42-0.91], but not other taxed beverage types, decreased in Philadelphia compared to Baltimore following the tax. Analyses did not find changes in purchases of low-calorie/low-added-sugar nontaxed beverages, such as water or milk. Additionally, analyses did not find increases in purchases of most high-calorie/high-added-sugar nontaxed products, including alcohol, juice, candy, sweet snacks, salty snacks, and desserts. Purchases of beverage concentrates increased in Philadelphia (RIRR = 2.22; 95% CI, 1.39-3.54). CONCLUSIONS: In this difference-in-differences analysis, the Philadelphia beverage tax was associated with reduced purchases of taxed juice drinks. Purchases of beverage concentrates increased after the tax, but no increases were observed for other high-calorie/high-added-sugar nontaxed foods, beverages, or alcohol.

Changes in the calorie and nutrient content of purchased fast food meals after calorie menu labeling: A natural experiment.

BACKGROUND: Calorie menu labeling is a policy that requires food establishments to post the calories on menu offerings to encourage healthy food choice. Calorie labeling has been implemented in the United States since May 2018 per the Affordable Care Act, but to the best of our knowledge, no studies have evaluated the relationship between calorie labeling and meal purchases since nationwide implementation of this policy. Our objective was to investigate the relationship between calorie labeling and the calorie and nutrient content of purchased meals after a fast food franchise began labeling in April 2017, prior to the required nationwide implementation, and after nationwide implementation of labeling in May 2018, when all large US chain restaurants were required to label their menus. METHODS AND FINDINGS: We obtained weekly aggregated sales data from 104 restaurants that are part of a fast food franchise for 3 national chains in 3 US states: Louisiana, Mississippi, and Texas. The franchise provided all sales data from April 2015 until April 2019. The franchise labeled menus in April 2017, 1 year prior to the required nationwide implementation date of May 2018 set by the US Food and Drug Administration. We obtained nutrition information for items sold (calories, fat, carbohydrates, protein, saturated fat, sugar, dietary fiber, and sodium) from Menustat, a publicly available database with nutrition information for items offered at the top revenue-generating US restaurant chains. We used an interrupted time series to find level and trend changes in mean weekly calorie and nutrient content per transaction after franchise and nationwide labeling. The analytic sample represented 331,776,445 items purchased across 67,112,342 transactions. Franchise labeling was associated with a level change of -54 calories/transaction (95% confidence interval [CI]: -67, -42, p < 0.0001) and a subsequent 3.3 calories/transaction increase per 4-week period (95% CI: 2.5, 4.1, p < 0.0001). Nationwide implementation was associated with a level decrease of -82 calories/transaction (95% CI: -88, -76, p < 0.0001) and a subsequent -2.1 calories/transaction decrease per 4-week period (95% CI: -2.9, -1.3, p < 0.0001). At the end of the study, the model-based predicted mean calories/transaction was 4.7% lower (change = -73 calories/transaction, 95% CI: -81, -65), and nutrients/transaction ranged from 1.8% lower (saturated fat) to 7.0% lower (sugar) than what we would expect had labeling not been implemented. The main limitations were potential residual time-varying confounding and lack of individual-level transaction data. CONCLUSIONS: In this study, we observed that calorie labeling was associated with small decreases in mean calorie and nutrient content of fast food meals 2 years after franchise labeling and nearly 1 year after implementation of labeling nationwide. These changes imply that calorie labeling was associated with small improvements in purchased meal quality in US chain restaurants.

Sugar-Sweetened Beverage Reduction Policies: Progress and Promise.

Evidence showing the effectiveness of policies to reduce the consumption of sugar-sweetened beverages (SSBs) is growing. SSBs are one of the largest sources of added sugar in the diet and are linked to multiple adverse health conditions. This review presents a framework illustrating the various types of policies that have been used to reduce SSB exposure and consumption; policies are organized into four categories (financial, information, defaults, and availability) and take into consideration crosscutting policy considerations (feasibility, impact, and equity). Next, for each category, we describe a specific example and provide evidence of impact. Finally, we discuss crosscutting policy considerations, the challenge of choosing among the various policy options, and important areas for future research. Notably, no single policy will reduce SSB consumption to healthy levels, so an integrated policy approach that adapts to changing market and consumption trends; evolving social, political, and public health needs; and emerging science is critical.

Policy Progress in Reducing Sodium in the American Diet, 2010-2019.

Most Americans consume dietary sodium exceeding age-specific government-recommended targets of 1,500-2,300 mg/day per person. The majority (71%) of US dietary sodium comes from restaurant and packaged foods. Excess sodium intake contributes to hypertension and cardiovascular disease, which is the leading cause of death in the United States. This review summarizes evidence for policy progress to reduce sodium in the US food supply and the American diet. We provide a historical overview of US sodium-reduction policy (1969-2010), then examine progress toward implementing the 2010 National Academy of Medicine (NAM) sodium report's recommendations (2010-2019). Results suggest that the US Food and Drug Administration made no progress in setting mandatory sodium-reduction standards, industry made some progress in meeting voluntary targets, and other stakeholders made some progress on sodium-reduction actions. Insights from countries that have significantly reduced population sodium intake offer strategies to accelerate US progress toward implementing the NAM sodium-reduction recommendations in the future.

Should physical activity calorie equivalent (PACE) labelling be introduced on food labels and menus to reduce excessive calorie consumption? Issues and opportunities.

PACE food labelling seeks to provide kilocalorie information with an interpretation of what the kilocalorie content of the food item or meal means for energy expenditure. For example, "the kilocalories in this pizza require 110 minutes of walking to expend". Displaying calorie content in an easily understandable format is important given evidence indicating that the public consistently underestimate the energy content of food when labelling is not provided. Evidence from systematic reviews and trials testing the effects of PACE labelling point to the possible benefits of inclusion on food labels and menus. However, several criticisms of this labelling system have been raised. This commentary explores both the issues and opportunities related to PACE food labelling, arguing that the benefits of implementation outweigh potential unintended consequences.

Trends and patterns in sugar-sweetened beverage consumption among children and adults by race and/or ethnicity, 2003-2018.

OBJECTIVE: Sugar-sweetened beverage (SSB) consumption has declined steadily. This study uses the latest national data to examine trends in SSB consumption among children and adults by race and/or ethnicity and to document whether long-standing disparities in intake remain. DESIGN: Trend analyses of demographic and dietary data measured by 24-h dietary recall from the National Health and Nutrition Examination Survey (NHANES). SETTING: Data from the 2003-2004 through 2017-2018 NHANES survey cycles were analysed in 2020. PARTICIPANTS: The study sample included 21 156 children aged 2-19 years and 32 631 adults aged 20+ years. RESULTS: From 2003-2004 to 2017-2018, the prevalence of drinking any amount of SSB on a given day declined significantly among all race and/or ethnicity groups for children (non-Hispanic (NH) White: 81·6 % to 72·7 %; NH Black: 83·2 % to 74·8 %, Hispanic: 86·9 % to 77·2 %) and most race and/or ethnicity groups for adults (NH White: 72·3 % to 65·3 %; Hispanic: 84·6 % to 77·8 %). Consumption declined at a higher rate among NH Black and Hispanic children aged 12-19 years compared with their NH White peers; among NH Black children aged 6-11 years, the rate of decline was lower. Despite significant declines in per capita SSB energy consumption from soda and fruit drinks, consumption of sweetened coffee/tea beverages increased among older children and nearly all adults and consumption of sweetened milk beverages increased among NH White and Hispanic children. CONCLUSIONS: SSB consumption has declined steadily for children and adults of all race and/or ethnicity groups, but disparities persist, and overall intake remains high.

Prevalence and nutrient composition of menu offerings targeted to customers with dietary restrictions at US fast casual and full-service restaurants.

OBJECTIVE: To examine the prevalence and nutrient composition of menu offerings targeted to customers with dietary restrictions at US fast casual and full-service chain restaurants. DESIGN: We used 2018 data from MenuStat, a database of nutrient information for menu items at large US chain restaurants. Five alternative diets were examined: gluten-free, low-calorie, low-carbohydrate, low-fat and vegetarian. Diet offerings were identified by searching MenuStat item descriptions and reviewing online menus. For each diet, we reported counts and proportions. We used bootstrapped multilevel models to examine differences in predicted mean kilojoules, saturated fat, Na and sugars between diet and non-diet menu items. SETTING: Forty-five US fast casual and full-service chain restaurants in 2018 (including 6419 items in initial analytic sample across small plates, salads and main dishes). PARTICIPANTS: None. RESULTS: The most prevalent diets were gluten-free (n 631, 9·8 % of menu items), low-calorie (n 306, 4·8 %) and vegetarian (n 230, 3·6 %). Compared with non-diet counterparts, low-calorie main dishes had significantly lower levels of all nutrients examined and vegetarian main dishes had significantly lower levels of all nutrients except saturated fat. Gluten-free small plates had significantly fewer kilojoules, grams of saturated fat and milligrams of Na compared with non-diet small plates. CONCLUSIONS: A small proportion of fast casual and full-service restaurant menus are targeted towards customers with dietary restrictions. Compared with non-diet items, those classified as gluten-free, low-calorie or vegetarian generally have healthier nutrient profiles, but overall nutrient values are still too high for most menu items, regardless of dietary label.

Comparing shopper characteristics by online grocery ordering use among households in low-income communities in Maine.

OBJECTIVE: Online grocery shopping could improve access to healthy food, but it may not be equally accessible to all populations - especially those at higher risk for food insecurity. The current study aimed to compare the socio-demographic characteristics of families who ordered groceries online v. those who only shopped in-store. DESIGN: We analysed enrollment survey and 44 weeks of individually linked grocery transaction data. We used univariate χ2 and t-tests and logistic regression to assess differences in socio-demographic characteristics between households that only shopped in-store and those that shopped online with curbside pickup (online only or online and in-store). SETTING: Two Maine supermarkets. PARTICIPANTS: 863 parents or caregivers of children under 18 years old enrolled in two fruit and vegetable incentive trials. RESULTS: Participants had a total of 32 757 transactions. In univariate assessments, online shoppers had higher incomes (P < 0 0001), were less likely to participate in Special Supplemental Nutrition Program for Women, Infants, and Children or Supplemental Nutrition Assistance Program (SNAP; P < 0 0001) and were more likely to be female (P = 0·04). Most online shoppers were 30-39 years old, and few were 50 years or older (P = 0·003). After controlling for age, gender, race/ethnicity, number of children, number of adults, income and SNAP participation, female primary shoppers (OR = 2·75, P = 0·003), number of children (OR = 1·27, P = 0·04) and income (OR = 3·91 for 186-300 % federal poverty line (FPL) and OR = 6·92 for >300 % FPL, P < 0·0001) were significantly associated with likelihood of shopping online. CONCLUSIONS: In the current study of Maine families, low-income shoppers were significantly less likely to utilise online grocery ordering with curbside pickup. Future studies could focus on elucidating barriers and developing strategies to improve access.

Strengthening the Public Health Impacts of the Supplemental Nutrition Assistance Program Through Policy.

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.

Impact of Changes in Chain Restaurant Calories over Time on Obesity Risk.

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.

Nutrition composition of children's meals in twenty-six large US chain restaurants.

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.

Understanding price incentives to upsize combination meals at large US fast-food restaurants.

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: n 258, breakfast: n 68, children's: n 34) 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-calorie v. 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-calorie v. 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.

Association of a Beverage Tax on Sugar-Sweetened and Artificially Sweetened Beverages With Changes in Beverage Prices and Sales at Chain Retailers in a Large Urban Setting.

Importance: Policy makers have implemented beverage taxes to generate revenue and reduce consumption of sweetened drinks. In January 2017, Philadelphia, Pennsylvania, became the second US city to implement a beverage excise tax (1.5 cents per ounce). Objectives: To compare changes in beverage prices and sales following the implementation of the tax in Philadelphia compared with Baltimore, Maryland (a control city without a tax) and to assess potential cross-border shopping to avoid the tax in neighboring zip codes. Design, Setting, and Participants: This study used a difference-in-differences approach and analyzed sales data to compare changes between January 1, 2016, before the tax, and December 31, 2017, after the tax. Differences by store type, beverage sweetener status, and beverage size were examined. The commercial retailer sales data included large chain store sales in Philadelphia, Baltimore, and the Pennsylvania zip codes bordering Philadelphia. These data reflect approximately 25% of the ounces of taxed beverages sold in Philadelphia. Exposures: Philadelphia's tax on sugar-sweetened and artificially sweetened beverages. Main Outcomes and Measures: Change in taxed beverage prices and volume sales. Results: A total of 291 stores (54 supermarkets, 20 mass merchandise stores, 217 pharmacies) were analyzed. The mean price per ounce of taxed beverages in Philadelphia increased from 5.43 cents in 2016 to 6.24 cents in 2017 at supermarkets; from 5.28 cents to 6.24 cents at mass merchandise stores, and from 6.60 cents to 8.28 cents at pharmacies. The mean price per ounce in Baltimore increased from 5.33 cents in 2016 to 5.50 cents in 2017 at supermarkets, from 6.34 cents to 6.52 cents at mass merchandise stores, and from 6.76 cents to 6.93 cents at pharmacies. The mean per-ounce difference in price between the 2 cities was 0.65 cents (95% CI, 0.60 cents-0.69 cents; P<.001) at supermarkets; 0.87 cents (95 % CI, 0.72 cents-1.02 cents; P<.001) at mass merchandise stores, and 1.56 cents (95% CI, 1.50 cents-1.62 cents; P<.001) at pharmacies. Total volume sales of taxed beverages in Philadelphia decreased by 1.3 billion ounces (from 2.475 billion to 1.214 billion) or by 51.0% after tax implementation. Volume sales in the Pennsylvania border zip codes, however, increased by 308.2 million ounces (from 713.1 million to 1.021 billion), offsetting the decrease in Philadelphia's volume sales by 24.4%. In Philadelphia, beverage volume sales in ounces per 4-week period between before and after tax periods decreased from 4.85 million to 1.99 million at supermarkets, from 2.98 million to 1.72 million at mass merchandise stores, and from 0.16 million to 0.13 million at pharmacies. In Baltimore, the beverage volume sales in ounces decreased from 2.83 million to 2.81 million at supermarkets, from 1.05 million to 1.00 million at mass merchandise stores, and from 0.14 million to 0.13 million at pharmacies. This was a 58.7% reduction at supermarkets (difference-in-differences, -2.85 million ounces; 95% CI, -4.10 million to -1.60 million ounces; P < .001), 40.4% reduction at mass merchandise stores (difference-in-differences, -1.20 million ounces; 95% CI, -2.04 million to -0.36 million ounces; P = .001), and 12.6% reduction in pharmacies (difference-in-differences, -0.02 million ounces; 95% CI, -0.03 million to -0.01 million ounces; P < .001). Conclusions and Relevance: In Philadelphia in 2017, the implementation of a beverage excise tax on sugar-sweetened and artificially sweetened beverages was associated with significantly higher beverage prices and a significant and substantial decline in volume of taxed beverages sold. This decrease in taxed beverage sales volume was partially offset by increases in volume of sales in bordering areas.

Association of a Beverage Tax on Sugar-Sweetened and Artificially Sweetened Beverages With Changes in Beverage Prices and Sales at Chain Retailers in a Large Urban Setting.

Importance: Policy makers have implemented beverage taxes to generate revenue and reduce consumption of sweetened drinks. In January 2017, Philadelphia, Pennsylvania, became the second US city to implement a beverage excise tax (1.5 cents per ounce). Objectives: To compare changes in beverage prices and sales following the implementation of the tax in Philadelphia compared with Baltimore, Maryland (a control city without a tax) and to assess potential cross-border shopping to avoid the tax in neighboring zip codes. Design, Setting, and Participants: This study used a difference-in-differences approach and analyzed sales data to compare changes between January 1, 2016, before the tax, and December 31, 2017, after the tax. Differences by store type, beverage sweetener status, and beverage size were examined. The commercial retailer sales data included large chain store sales in Philadelphia, Baltimore, and the Pennsylvania zip codes bordering Philadelphia. These data reflect approximately 25% of the ounces of taxed beverages sold in Philadelphia. Exposures: Philadelphia's tax on sugar-sweetened and artificially sweetened beverages. Main Outcomes and Measures: Change in taxed beverage prices and volume sales. Results: A total of 291 stores (54 supermarkets, 20 mass merchandise stores, 217 pharmacies) were analyzed. The mean price per ounce of taxed beverages in Philadelphia increased from 5.43 cents in 2016 to 6.24 cents in 2017 at supermarkets; from 5.28 cents to 6.24 cents at mass merchandise stores, and from 6.60 cents to 8.28 cents at pharmacies. The mean price per ounce in Baltimore increased from 5.33 cents in 2016 to 5.50 cents in 2017 at supermarkets, from 6.34 cents to 6.52 cents at mass merchandise stores, and from 6.76 cents to 6.93 cents at pharmacies. The mean per-ounce difference in price between the 2 cities was 0.65 cents (95% CI, 0.60 cents-0.69 cents; P<.001) at supermarkets; 0.87 cents (95 % CI, 0.72 cents-1.02 cents; P<.001) at mass merchandise stores, and 1.56 cents (95% CI, 1.50 cents-1.62 cents; P<.001) at pharmacies. Total volume sales of taxed beverages in Philadelphia decreased by 1.3 billion ounces (from 2.475 billion to 1.214 billion) or by 51.0% after tax implementation. Volume sales in the Pennsylvania border zip codes, however, increased by 308.2 million ounces (from 713.1 million to 1.021 billion), offsetting the decrease in Philadelphia's volume sales by 24.4%. In Philadelphia, beverage volume sales in ounces per 4-week period between before and after tax periods decreased from 4.85 million to 1.99 million at supermarkets, from 2.98 million to 1.72 million at mass merchandise stores, and from 0.16 million to 0.13 million at pharmacies. In Baltimore, the beverage volume sales in ounces decreased from 2.83 million to 2.81 million at supermarkets, from 1.05 million to 1.00 million at mass merchandise stores, and from 0.14 million to 0.13 million at pharmacies. This was a 58.7% reduction at supermarkets (difference-in-differences, -2.85 million ounces; 95% CI, -4.10 million to -1.60 million ounces; P < .001), 40.4% reduction at mass merchandise stores (difference-in-differences, -1.20 million ounces; 95% CI, -2.04 million to -0.36 million ounces; P = .001), and 12.6% reduction in pharmacies (difference-in-differences, -0.02 million ounces; 95% CI, -0.03 million to -0.01 million ounces; P < .001). Conclusions and Relevance: In Philadelphia in 2017, the implementation of a beverage excise tax on sugar-sweetened and artificially sweetened beverages was associated with significantly higher beverage prices and a significant and substantial decline in volume of taxed beverages sold. This decrease in taxed beverage sales volume was partially offset by increases in volume of sales in bordering areas.

The neighborhood environment and obesity: Understanding variation by race/ethnicity.

Neighborhood characteristics have been associated with obesity, but less is known whether relationships vary by race/ethnicity. This study examined the relationship between soda consumption - a behavior strongly associated with obesity - and weight status with neighborhood sociodemographic, social, and built environments by race/ethnicity. We merged data on adults from the 2011-2013 California Health Interview Survey, U.S. Census data, and InfoUSA (n=62,396). Dependent variables were soda consumption and weight status outcomes (body mass index and obesity status). Main independent variables were measures of three neighborhood environments: social (social cohesion and safety), sociodemographic (neighborhood socioeconomic status, educational attainment, percent Asian, percent Hispanic, and percent black), and built environments (number of grocery stores, convenience stores, fast food restaurants, and gyms in neighborhood). We fit multi-level linear and logistic regression models, stratified by individual race/ethnicity (NH (non-Hispanic) Whites, NH African Americans, Hispanics, and NH Asians) controlling for individual-level characteristics, to estimate neighborhood contextual effects on study outcomes. Lower neighborhood educational attainment was associated with higher odds of obesity and soda consumption in all racial/ethnic groups. We found fewer associations between study outcomes and the neighborhood, especially the built environment, among NH African Americans and NH Asians. While improvements to neighborhood environment may be promising to reduce obesity, null associations among minority subgroups suggest that changes, particularly to the built environment, may alone be insufficient to address obesity in these groups.

Strategies to reduce sugar-sweetened beverage consumption and increase water access and intake among young children: perspectives from expert stakeholders.

OBJECTIVES: To 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). DESIGN: Two 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. SETTING: Using 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. SUBJECTS: Survey 1 (n 276) and survey 2 (n 182) included expert stakeholders who work on issues related to SSB and water consumption. RESULTS: Six 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. CONCLUSIONS: The 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.