Predicted impact of banning nonessential, energy-dense food and beverages in schools in Mexico: A microsimulation study.

BACKGROUND: Childhood obesity is a growing concern worldwide. School-based interventions have been proposed as effective means to improve nutritional knowledge and prevent obesity. In 2023, Mexico approved a reform to the General Education Law to strengthen the ban of sales and advertising of nonessential energy-dense food and beverages (NEDFBs) in schools and surroundings. We aimed to predict the expected one-year change in total caloric intake and obesity prevalence by introducing the ban of NEDFBs sales in schools, among school-aged children and adolescents (6 to 17 years old) in Mexico. METHODS AND FINDINGS: We used age-specific equations to predict baseline fat-free mass (FFM) and fat mass (FM) and then estimated total energy intake (TEI) per day. The TEI after the intervention was estimated under 4 scenarios: (1) using national data to inform the intervention effect; (2) varying law compliance; (3) using meta-analytic data to inform the intervention effect size on calories; and (4) using national data to inform the intervention effect by sex and socioeconomic status (SES). We used Hall's microsimulation model to estimate the potential impact on body weight and obesity prevalence of children and adolescents 1 year after implementing the intervention in Mexican schools. We found that children could reduce their daily energy intake by 33 kcal/day/person (uncertainty interval, UI, [25, 42] kcal/day/person), reducing on average 0.8 kg/person (UI [0.6, 1.0] kg/person) and 1.5 percentage points (pp) in obesity (UI [1.1, 1.9] pp) 1 year after implementing the law. We showed that compliance will be key to the success of this intervention: considering a 50% compliance the intervention effect could reduce 0.4 kg/person (UI [0.3, 0.5] kg/person). Our sensitivity analysis showed that the ban could reduce body weight by 1.3 kg/person (UI [0.8, 1.8] kg/person) and up to 5.4 kg/person (UI [3.4, 7.5] kg/person) in the best-case scenario. Study limitations include assuming that obesity and the contribution of NEDFBs consumed at school remain constant over time, assuming full compliance, and not considering the potential effect of banning NEDFBs in stores near schools. CONCLUSIONS: Even in the most conservative scenario, banning sales of NEDFBs in schools is expected to significantly reduce obesity, but achieving high compliance will be key to its success. WHY WAS THIS STUDY DONE?: - School-based interventions have been recognized as effective means to improve nutritional knowledge and prevent obesity-related diseases.- In December 2023, the Chamber of Representatives of Mexico approved an amendment that strengthens and updates the General Education Law (Article 75) and nutritional guidelines to ban the sales and advertising of nonessential energy-dense food and beverages (NEDFBs) in schools. WHAT DID THE RESEARCHERS DO AND FIND?: - We used age-specific equations to predict baseline fat-free mass (FFM) and fat mass (FM) and total energy intake (TEI) per day.- We used microsimulation modeling to predict body weight and obesity prevalence of children and adolescents 1 year after implementing the intervention in Mexican schools.- Our modeling study suggests that an important impact on obesity prevalence can be expected if the law is implemented and enforced as intended. WHAT DO THESE FINDINGS MEAN?: - If successful, this law could serve as an example beyond Mexico on how to achieve changes in body weight through school food regulation.- An important limitation of our main scenario is that we assumed full compliance of schools with the law, yet lower compliance will reduce its impact. We also did not consider historical trends on obesity or NEDFBs consumed in schools during our 1 year simulation, and we considered only the ban impact inside schools, excluding effects near and outside schools.

A policy approach to identifying food and beverage products that are ultra-processed and high in added salt, sugar and saturated fat in the United States: a cross-sectional analysis of packaged foods.

Background: Governments globally aim to reduce the intake of unhealthy foods. Many policies exist that aim to address foods high in saturated fat, salt and sugar (HFSS) but the identification of ultra-processed foods (UPF) have presented a greater challenge due to the lack of an appropriate policy definition. To support policymakers, we provide approaches that can support governments to identify both HFSS foods and UPFs. Methods: Four approaches combining elements of UPF definitions (i.e., presence of additives) and HFSS definitions were compared attempting to simplify and standardize the identification of less healthy products. Nationally representative food purchase data from NielsenIQ linked with nutrition facts label data were used to examine the mean proportion of product volume purchased by US households to be targeted. Differences between approaches were examined using Student t test; Bonferroni adjusted P value < 0.0001 was considered significant. Findings: In 2020, 50% of 33,054,687 products purchased by US households were considered UPFs (65% of foods and 38% of beverages) and 43% HFSS (65% of foods and 26% of beverages), however there was not 100% agreement between the two definitions (P < 0.0001). By starting with HFSS criteria and adding elements of UPF (colors and flavors), we were able to provide a method with 100% agreement between the identification of UPFs and HFSS products. Interpretation: Results demonstrated how combining HFSS criteria with UPF criteria can be used to identify less healthy foods and ensure policymakers have both a simple and accurate method to target products for policy intervention. Funding: Bloomberg Philanthropies and the Global Food Research Program of UNC-Chapel Hill provided funds.

Comprehensive mandatory policies are needed to fully protect all children from unhealthy food marketing.

The World Health Organization (WHO) have released a new guideline, "Policies to protect children from the harmful impact of food marketing" [1] which recommends the development of comprehensive laws to reduce children's exposure to unhealthy food marketing. This new guideline extends previous recommendations [2] to limit the adverse effects of unhealthy food marketing on the health of the world's children. We consider here whether these new recommendations go far enough.

Evolution of food and beverage prices after the front-of-package labelling regulations in Chile.

INTRODUCTION: This study assesses the impact on prices of the 2016 Chilean comprehensive food policy package, centred around front-of-package warning labels for food and beverages high in saturated fats, sugars, calories and/or salt, on food and beverage prices, labelled or not. METHODS: Data from Kantar WorldPanel Chile, from January 2014 to December 2017, were used. The methodology implemented was interrupted time series analyses with a control group on Laspeyres Price Indices on labelled food and beverage products. RESULTS: After the regulations were implemented, prices among different categories of products (eg, high-in; reformulated but still high-in; reformulated and not high-in; not high-in) did not change with regulations relative to the control group. Specific price indices (relative to the control group) for households from different socioeconomic strata remained unchanged. CONCLUSIONS: Even where reformulation was extensive, we found no evidence that it was associated with price changes, at least during Chile's first year and a half of regulation implementation.

Caloric reductions needed to achieve obesity goals in Mexico for 2030 and 2040: A modeling study.

BACKGROUND: In Mexico, obesity prevalence among adults increased from 23% in 2000 to 36% in 2018, approximately. Mexico has not defined short- or long-term obesity goals, obscuring the level of effort required to achieve a relevant impact. We aimed to explore potential obesity goals for 2030 and 2040 in Mexico and to estimate the required caloric reductions to achieve them. METHODS AND FINDINGS: We obtained anthropometric and demographic information on the Mexican adult population (age ≥20 years) from the Health and Nutrition Surveys conducted in 2000, 2006, 2012, 2016, and 2018 (n = 137,907). Each survey wave is cross-sectional, multistage, and representative of the Mexican population at the national, regional, and urban/rural levels. Obesity prevalence was projected for 2030 and 2040 by combining population projections of energy intake by socioeconomic status (SES) with a weight-change microsimulation model taking into account individual-level information on sex, age, physical activity, and initial body weight and height. If current trends continue, Mexico's obesity prevalence is expected to increase from 36% (95% CI 35% to 37%) in 2018 to 45% (uncertainty interval [UI] 41% to 48%) in 2030 and to 48% (UI 41% to 55%) in 2040. Based on expert opinion, we identified 3 obesity goals scenarios: (1) plausible (38% in 2030 and 36% in 2040); (2) intermediate (33% in 2030 and 29% in 2040); and (3) ideal based on the average prevalence of Organization for Economic Co-operation and Development countries (OECD; 19%). We estimated the caloric reductions needed to achieve the goal scenarios using the microsimulation model. Obesity was projected to increase more rapidly in the low SES (around 34% in 2018 to 48% (UI 41% to 55%) in 2040), than in the middle (around 38% to 52% (UI 45% to 56%)), or high SES group (around 36% to 45% (UI 36% to 54%)). Caloric reductions of 40 (UI 13 to 60), 75 (UI 49 to 95), and 190 (UI 163 to 215) kcal/person/day would be needed to reach the plausible, intermediate, and the ideal (OECD) average scenarios for 2030, respectively. To reach the 2040 goals, caloric reductions of 74 (UI 28 to 114), 124 (UI 78 to 169), and 209 (UI 163 to 254) kcal/person/day would be required, respectively. Study limitations include assuming a constant and sedentary physical activity level, not considering cohort-specific differences that could occur in the future, and assuming the same caloric trends under no intervention and the obesity goal scenarios. CONCLUSIONS: To reach the 3 obesity goals in 2040, caloric reductions between 74 and 209 kcal/day/person would be needed in Mexico. A package of new and stronger interventions should be added to existing efforts such as food taxes and warning labels on non-nutritious food.

Associations of 5-year changes in alcoholic beverage intake with 5-year changes in waist circumference and BMI in the Coronary Artery Risk Development in Young Adults (CARDIA) study.

OBJECTIVE: This study aimed to shed light on contradictory associations of alcohol intake with waist circumference (WC) and body mass index (BMI) by examining 5-yr changes in alcohol intake in relation to 5-yr WC and BMI changes. METHODS: This prospective study included 4,355 participants (1,974 men and 2,381 women) enrolled in the Coronary Artery Risk Development in Young Adults (CARDIA) study at baseline (1985-1986) and followed over 25 years (2010-2011). Longitudinal random effects linear regression models were used to test whether changes in drinking (defined categorically) as starting to drink, increasing, decreasing, stable drinking or stopping drinking (versus stable non-drinking) over a series of 5-yr periods were associated with corresponding 5-yr WC and BMI changes. Associations with 5-yr changes (defined categorically as starting, stable or stopping) in drinking level (i.e., light/moderate and excessive) and 5-yr changes (defined categorically as increasing, no change, or decreasing) by beverage type (i.e., beer, wine and liquor/mixed drinks) were also examined. RESULTS: In men, compared to stable non-drinking, decreasing total alcohol intake was associated with lower 5-yr WC (ß:-0.62 cm; 95% CI: -1.09, -0.14 cm) and BMI gains (ß:-0.20 kg/m2; 95% CI: -0.30, -0.03 kg/m2) and stopping excessive drinking was associated with lower 5-yr WC gains (ß:-0.77 cm; 95% CI: -1.51, -0.03 cm). In women, compared to those with stable non-drinking habits, starting light/moderate drinking was associated with lower 5-yr WC (ß: -0.78 cm; 95% CI: -1.29, -0.26 cm) and BMI gains (ß:-0.42 kg/m2; 95% CI: -0.64, -0.20 kg/m2). Increasing wine intake was associated with a lower 5-yr BMI gain (ß:-0.27 kg/m2; 95% CI: -0.51, -0.03 kg/m2). Decreasing liquor/mixed drink (ß:-0.33 kg/m2; 95% CI: -0.56, -0.09 kg/m2) intake was associated with lower 5-yr WC (ß:-0.88 cm; 95% CI: -1.43, -0.34 cm) and BMI (ß:-0.33 kg/m2; 95% CI: -0.56, -0.09 kg/m2) gains. CONCLUSIONS: Associations of alcohol intake with obesity measures are complex. In women, wine and liquor/mixed drink intakes had contrasting associations with WC and BMI change. In men, decreasing weekly alcoholic beverage intake with an emphasis on stopping excessive consumption may be beneficial in managing WC and BMI gains.

Food Additives in Ultra-Processed Packaged Foods: An Examination of US Household Grocery Store Purchases.

BACKGROUND: Food additives have been used mainly in the past century to perform specific functions in foods. Some types of food additives have been linked to adverse health outcomes, yet there is little research examining food additives in the US food supply. OBJECTIVE: To examine the proportion of products purchased by US households containing four common technical food additives using time-specific food composition data and examine whether purchases have changed over time. PARTICIPANTS/SETTING: Nielsen Homescan Consumer Panels, 2001 and 2019. MAIN OUTCOME MEASURES: The proportion of packaged food products containing common types of food additives purchased by US households was determined overall and by food category. STATISTICAL ANALYSIS PERFORMED: Differences were examined using Student t test; P value < 0.001 was considered significant. RESULTS: Between 2001 and 2019, the proportion of food products purchased by US households that contained additives increased from 49.6% to 59.5% (P < 0.001). The proportion of carbonated soft drinks purchased containing flavors decreased, with a subsequent increase in purchases containing nonnutritive sweeteners. Baby foods showed a 20% increase in the proportion of purchases containing additives and >15% increase in the proportion of purchases containing three or more additives. CONCLUSIONS: There is convincing evidence that US household purchases of common types of technical food additives are increasing. Despite some positive changes such as a decrease in the use of added flavors in carbonated soft drinks, across most food categories an increase in purchases of all types of products containing additives was observed. In particular the finding that purchases of baby food products containing additives have increased substantially is crucial in informing future research in this area and warrants further investigation.

Socioeconomic Patterns in Budget Share Allocations of Regulated Foods and Beverages in Chile: A Longitudinal Analysis.

Chile has enacted stringent legislation regulating food and beverage labeling and advertising. This study assesses the changes in the average relative allocations of food and beverage budgets for regulated versus not regulated products in households of different socioeconomic and demographic backgrounds. A household fixed effect before-after model is estimated and the marginal effects in the changes of levels and trends in budget shares and purchased volumes after the implementation of the regulations are examined. The results highlight how impactful food policies can shift consumption toward healthier products.

Front-of-Package Labels on Unhealthy Packaged Foods in India: Evidence from a Randomized Field Experiment.

Policies to require front-of-package labels (FOPLs) on packaged foods may help Indian consumers to better identify foods high in nutrients of concern, including sugar, saturated fat, and sodium, and discourage their consumption, which are outcomes that are critical for preventing rises in diet-related non-communicable disease. The objective was to test whether FOPLs helped Indian consumers identify "high-in" packaged foods and reduce intentions to purchase them. We conducted an in-person randomized experiment (n = 2869 adults between ages 18 and 60 years old) in six states of India in 2022. Participants were randomized to one of five FOPLs: a control label (barcode), warning label (octagon with "High in [nutrient]"), Health Star Rating (HSR), Guideline Daily Amount (GDA), or traffic light label. Participants then viewed a series of packaged foods high in sugar, saturated fat, or sodium with the assigned FOPL, and rated product perceptions and label reactions. Fewer than half of participants in the control group (39.1%) correctly identified all products high in nutrient(s) of concern. All FOPLs led to an increase in this outcome, with the biggest differences observed for the warning label (60.8%, p < 0.001), followed by the traffic light label (54.8%, p < 0.001), GDA (55.0%, p < 0.001), and HSR (45.0%, p < 0.01). While no FOPLs led to a reduction in intentions to purchase the packaged foods, the overall pattern of results suggested that warning labels are the most effective FOPL to help Indian consumers identify unhealthy foods.

Nutritional Quality of Pre-Packaged Foods in China under Various Nutrient Profile Models.

This study used various nutrient profile models (NPMs) to evaluate the nutritional quality of pre-packaged foods in China to inform future food policy development. Nutrition data for pre-packaged foods were collected through FoodSwitch China in 2017-2020. The analyses included 73,885 pre-packaged foods, including 8236 beverages and 65,649 foods. Processed foods (PFs) and ultra-processed foods (UPFs) accounted for 8222 (11.4%) and 47,003 (63.6%) of all products, respectively. Among the 55,425 PFs and UPFs, the overall proportion of products with an excessive quantity of at least one negative nutrient was 86.0% according to the Chilean NPM (2019), 83.3% for the Pan American Health Organization NPM (PAHO NPM), and 90.6% for the Western Pacific Region NPM for protecting children from food marketing (WPHO NPM), respectively. In all NPMs, 70.4% of PFs and UPFs were identified as containing an excessive quantity of at least one negative nutrient, with higher proportions of UPFs compared to PFs. Food groups exceeding nutrient thresholds in most NPMs included snack foods, meat and meat products, bread and bakery products, non-alcoholic beverages, confectionery, and convenience foods. In conclusion, PFs and UPFs accounted for three-fourths of pre-packaged foods in China, and the majority of PFs and UPFs exceeded the threshold for at least one negative nutrient under all three NPMs. Given the need to prevent obesity and other diet-related chronic diseases, efforts are warranted to improve the healthiness of foods in China through evidence-based food policy.

Front-of-Pack Labeling in Chile: Effects on Employment, Real Wages, and Firms' Profits after Three Years of Its Implementation.

This study evaluates the impact of Chile's innovative law on Food Labeling and Advertising, enacted in June 2016, on employment and real wages and profit margins for the food and beverage manufacturing sectors in the 2016-2019 period, using unique company-specific monthly data from Chile's tax collection agency (measuring aggregate employment, real wages, average size of firms, and gross profit margins of the food and beverage manufacturing sector). Interrupted-time series analyses (ITSA) on administrative data from tax-paying firms was used and compared to synthetic control groups of sectors not affected by the regulations. ITSA results show no effect on aggregate employment nor on the average size of the firms, while they show negligible effects on real wages and gross margin of profits (as proportion of total sales), after the first two stages of the implementation (36 months), despite significant decreases in consumption in certain categories (sugar-sweetened beverages, breakfast cereals, etc.). Despite the large declines found in purchases of unhealthy foods, employment did not change and impacts on other economic outcomes were small. Though Chile's law, is peculiar there is no reason to believe that if similar regulations were adopted elsewhere, they would have different results.

Changes in nonnutritive sweetener intake in a cohort of preschoolers after the implementation of Chile's Law of Food Labelling and Advertising.

BACKGROUND: The first phase of Chile's Law of Food Labelling and Advertising showed important declines in the sugar content of packaged foods, but it is unknown whether the law led to an increase in nonnutritive sweetener (NNS) intake, particularly among preschool children. OBJECTIVES: Estimate the changes in preschoolers' NNS intake after the first phase of the Chilean law. METHODS: We used 24-h dietary recalls collected in 2016 (pre-law) and 2017 (post-law) from a cohort of preschoolers (n = 875). The primary caretaker was the respondent of the recalls. Information on NNS was obtained from nutrition facts panels collected annually and linked to dietary data. We used logistic regression to estimate the changes in the proportion of preschoolers who consume NNS and two-part models to estimate the changes in mean intake. We determined the percentage of children that surpassed the acceptable daily intake (ADI) of each NNS using the National Cancer Institute method. RESULTS: The proportion of consumers of at least one NNS increased from 77.9% to 92.0% (p-value < 0.01). The mean intake increased for sucralose, aspartame, acesulfame-K and steviol glycosides (+20.3, +15.1, +6.1 and +3.3 mg/day, respectively). In addition, NNS dietary sources changed for sucralose and steviol glycosides, becoming industrialized juices and dairy beverages more relevant while tabletop NNS became less relevant. None of the children surpassed the ADI. CONCLUSIONS: NNS intake increased in preschoolers after the first phase of a national policy that promoted sugar reformulation.

The Effects of Physical Activity and Sedentary Behaviors on Overweight and Obesity among Boys may Differ from those among Girls in China: An Open Cohort Study.

BACKGROUND: Childhood overweight and obesity are increasing steadily in China, yet few studies have focused on exploring the risk factors associated with sex differences. OBJECTIVES: We tested the hypothesis that the effects of physical activity and sedentary behaviors on overweight and obesity differ between boys and girls. METHODS: We used data collected from 4520 children and adolescents aged 6-18 y from 2004 to 2015 in an ongoing open-cohort study, the China Health and Nutrition Survey, to explore the effects of physical activity and sedentary behaviors on the risk of overweight and obesity in Chinese children and adolescents. We collected detailed information on physical activity and sedentary behavior along with dietary data, and we measured height and weight with standardized methods. We used random-effects logistic regression models to analyze the associations between total physical activity and sedentary behavior and overweight and obesity. RESULTS: The effects of sedentary behaviors and vigorous physical activity were only significant among girls. Vigorous physical activity decreased the risk of overweight and obesity by 63% (OR: 0.37; 95% CI: 0.20, 0.67) among girls ages 6-11 y and by 54% (OR: 0.46; 95% CI: 0.25, 0.85) among girls ages 12-18 y. High sedentary-hour values increased the risk by 96% (OR: 1.96; 95% CI: 1.09, 3.54) among girls ages 12-18 y. None of the effects were significant among boys. CONCLUSION: Low physical activity and high sedentary time increase the risk of overweight and obesity, particularly among adolescent girls. The effects of physical activity and sedentary behaviors on overweight and obesity among boys may differ from those among girls. Sex effects should be taken into consideration when promoting physical activity. Whether this sex difference is a result of high male preferences in China that preclude many activities among boys or other factors requires further study.

Junk Food Intake Among Adults in the United States.

BACKGROUND: There is no consensus on how to define "junk food." In 2016, Chile implemented the most comprehensive set of obesity-preventive regulations in the world, including criteria to define unhealthy foods. OBJECTIVES: The objective of this study was to examine the amount of energy, sodium, sugar, and saturated fat consumed by US adults defined as junk food using the Chilean criteria. METHODS: We used 2 nationally representative surveys of food intake in 10,001 US adults: NHANES 2015-2016 and NHANES 2017-2018. The main outcome measures were the contributions of energy, total sugars, saturated fat, and sodium deriving from junk food sources. Mean intake and proportion of energy, sugar, saturated fat, and sodium for junk food overall and each food category were calculated. RESULTS: Overall, 47% of energy, 75% of total sugar, 46% of sodium, and 48% of saturated fat consumed by US adults derived from junk food sources. Sugar-sweetened beverages (SSBs) were responsible for more than 40% of total sugar intake deriving from junk foods. Non-Hispanic black adults had the highest mean energy, total sugar, and sodium intake deriving from junk foods, with non-Hispanic white adults having the highest saturated fat intake. Non-Hispanic black adults had the highest intake of total sugar deriving from junk food sources of SSBs (26.7 g/d), with SSBs representing >40% of total sugar intake deriving from junk food sources for all race/ethnic groups. CONCLUSIONS: Foods that meet the Chilean criteria for junk food provide approximately half or more daily energy and food components to limit in the diet of US adults, with important differences observed between race/ethnic groups. Policy efforts to reduce junk food intake, particularly the intake of SSBs, must be expanded to improve the cardiometabolic health equitably in the United States.

The nutrition transition to a stage of high obesity and noncommunicable disease prevalence dominated by ultra-processed foods is not inevitable.

The Nutrition Transition model is presented with the nature and pace of change in key stages varying by location and subpopulations. At present, all high-income and many low- and middle-income countries are in a stage of the transition where nutrition-related noncommunicable diseases including obesity, type 2 diabetes, and hypertension are dominating adult morbidity and mortality and are very high or growing rapidly in prevalence. Some countries still have key subpopulations facing hunger and undernutrition defined by stunting or extreme thinness among adults. We call these double burden of malnutrition countries. All low- and middle-income countries face rapid growth in consumption of ultra-processed food and beverages, but it is not inevitable that these countries will reach the same high levels of consumption seen in high-income countries, with all the negative impacts of this diet on health. With great political and civil society commitment to adoption of policies shown in other countries to have improved dietary choices and social norms around foods, we can arrest and even reverse the rapid shift to diets dominated by a stage of high ultra-processed food intake and increasing prevalence of nutrition-related noncommunicable diseases.

Associations Among Select State Policies and the Nutritional Quality of Household Packaged Food Purchases in the United States from 2008 Through 2017.

BACKGROUND: Policy interventions are important public health tools because they can reach large numbers of people. State context has been associated with health outcomes, yet few studies have examined the extent to which state-level policies are associated with dietary quality. OBJECTIVES: The objective of this study was to evaluate whether state policies are associated with the nutritional quality of household packaged food purchases. DESIGN: This observational study used data from Nielsen Homescan, an open-cohort household panel where participants track purchases, and a combination of state-level food and social safety net policy variables from 2008 through 2017. PARTICIPANTS AND SETTING: This study included 615,634 household-year observations in the United States from 2008 through 2017. Household-year observations were excluded in the case that a household did not make a minimum number of purchases and in the case that they had incorrect geographic information. The final analytic sample was 611,719 household-years. MAIN OUTCOME MEASURES: Study outcomes included a set of nutrition-related measures of public health interest, including nutrients of concern (eg, sugar, saturated fat, and sodium) and calories from specific food groups (eg, fruits, nonstarchy vegetables, processed meats, mixed dishes, sugar-sweetened beverages, and desserts and snacks). STATISTICAL ANALYSIS: This study used multilevel generalized linear models with state fixed effects on three samples: all households, only households with low income, and only households with low educational attainment. RESULTS: Few significant associations were found between healthy food retail policies and the nutritional quality of purchases, and mixed associations were found between social safety net policies and lower or higher quality packaged food purchases. CONCLUSIONS: Little evidence was found that state policy context in 2008 through 2017 was associated with the quality of packaged food purchases. However, variation in state policies is increasing over time, warranting future research into the relationship between these policies, the quality of packaged food purchases, and the rest of the diet.