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.

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.

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.

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.

Whole Grain and Refined Grains: An Examination of US Household Grocery Store Purchases.

BACKGROUND: The health benefits related to intake of whole grain foods are well established. Consumption of whole grains in the US population is low, and whole grain content can vary greatly depending upon the specific products that are purchased. OBJECTIVES: To examine the proportion of products purchased by US households containing whole grain and refined grain ingredients using time-specific food composition data, and examine whether purchases differ between income, race or ethnicity, and household make-up. METHODS: Nationally representative Nielsen Homescan 2018 data were used. Each barcoded product captured in Nielsen Homescan 2018 was linked with ingredient information using commercial nutrition databases in a time-relevant manner. Packaged food products containing whole grain ingredients, refined grain ingredients, neither, or both were identified. The percentage of packaged food products containing whole grain and refined grain ingredients purchased by US households was determined overall, by demographic subgroup, and by food category. RESULTS: The proportion of packaged food purchases containing refined grain ingredients was significantly higher than whole grain ingredients (30.9% compared with 7.9%; P < 0.0001). Lower income households and households with children purchased a significantly higher proportion of products containing refined grain ingredients, with no nutritionally meaningful racial or ethnic differences observed. Concerningly, across all demographic subgroups >90% of bread purchases contained refined grain ingredients, and the 5 categories with the largest proportion of whole grain ingredients contributed to <20% of overall US household packaged food purchases. CONCLUSIONS: US households are purchasing a significantly higher proportion of packaged food products containing refined grain ingredients than whole grain ingredients. Future policy changes are needed to provide incentives and information (e.g., front-of-pack labels) to aid in encouraging manufacturers to increase whole grain product offerings while decreasing refined grain offerings, and to encourage consumers to substitute away from refined grain products toward whole grain products.

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.

Television viewing and using screens while eating: Associations with dietary intake in children and adolescents.

Screen time has been associated with overweight and obesity, as well as with poorer dietary quality. However, the reasons explaining these associations are not well understood. The objectives of this cross-sectional study were [1] to determine the extent of overall TV viewing as well as using screens while eating (e.g., watching TV or using a tablet), [2] to compare food and nutrient consumption of on-versus off-screen eating occasions, and [3] to determine whether TV viewing and using screens while eating is associated with overall dietary intake. Participants were from the Food Environment Chilean Cohort (n = 938, 4-6 y) and the Growth and Obesity Cohort Study (n = 752, 12-14 y). Dietary data was collected via one 24-h food recall. For each eating occasion, activity performed during consumption (e.g., watching TV, playing sports) was reported. Weekly TV viewing time was collected via an additional survey instrument. Analyses included multivariable linear and logistic regression. Post-hoc pairwise comparisons examined differences in outcomes by tertiles. Our sample reported a median of 9-13.5 weekly hours of TV viewing and 87.5% reported consuming at least one meal or snack per day while using screens. The median kilocalories contributed by eating during screen use was 387 kcal/d in children and 848 kcal/day in adolescents, which represents 34.7% and 42.3% of daily energy intake, respectively. There were no consistent differences when comparing eating occasions consumed on-screen versus off-screen. Higher weekly TV viewing was associated with elements of a less healthy diet including more sweets and desserts in children, and more sugar sweetened beverages in adolescents. A large percentage of Chilean children and adolescents' daily energy is consumed while using screens. In depth, longitudinal work is needed to understand how screen time eating affects diet quality and nutritional status.

Taxed and untaxed beverage intake by South African young adults after a national sugar-sweetened beverage tax: A before-and-after study.

BACKGROUND: In an effort to prevent and reduce the prevalence rate of people with obesity and diabetes, South Africa implemented a sugar-content-based tax called the Health Promotion Levy in April 2018, one of the first sugar-sweetened beverage (SSB) taxes to be based on each gram of sugar (beyond 4 g/100 ml). This before-and-after study estimated changes in taxed and untaxed beverage intake 1 year after the tax, examining separately, to our knowledge for the first time, the role of reformulation distinct from behavioral changes in SSB intake. METHODS AND FINDINGS: We collected single-day 24-hour dietary recalls from repeat cross-sectional surveys of adults aged 18-39 years in Langa, South Africa. Participants were recruited in February-March 2018 (pre-tax, n = 2,459) and February-March 2019 (post-tax, n = 2,489) using door-to-door sampling. We developed time-specific food composition tables (FCTs) for South African beverages before and after the tax, linked with the diet recalls. By linking pre-tax FCTs only to dietary intake data collected in the pre-tax and post-tax periods, we calculated changes in beverage intake due to behavioral change, assuming no reformulation. Next, we repeated the analysis using an updated FCT in the post-tax period to capture the marginal effect of reformulation. We estimated beverage intake using a 2-part model that takes into consideration the biases in using ordinary least squares or other continuous variable approaches with many individuals with zero intake. First, a probit model was used to estimate the probability of consuming the specific beverage category. Then, conditional on a positive outcome, a generalized linear model with a log-link was used to estimate the continuous amount of beverage consumed. Among taxed beverages, sugar intake decreased significantly (p < 0.0001) from 28.8 g/capita/day (95% CI 27.3-30.4) pre-tax to 19.8 (95% CI 18.5-21.1) post-tax. Energy intake decreased (p < 0.0001) from 121 kcal/capita/day (95% CI 114-127) pre-tax to 82 (95% CI 76-87) post-tax. Volume intake decreased (p < 0.0001) from 315 ml/capita/day (95% CI 297-332) pre-tax to 198 (95% CI 185-211) post-tax. Among untaxed beverages, sugar intake increased (p < 0.0001) by 5.3 g/capita/day (95% CI 3.7 to 6.9), and energy intake increased (p < 0.0001) by 29 kcal/capita/day (95% CI 19 to 39). Among total beverages, sugar intake decreased significantly (p = 0.004) by 3.7 (95% CI -6.2 to -1.2) g/capita/day. Behavioral change accounted for reductions of 24% in energy, 22% in sugar, and 23% in volume, while reformulation accounted for additional reductions of 8% in energy, 9% in sugar, and 14% in volume from taxed beverages. The key limitations of this study are an inability to make causal claims due to repeat cross-sectional data collection, and that the magnitude of reduction in taxed beverage intake may not be generalizable to higher income populations. CONCLUSIONS: Using a large sample of a high-consuming, low-income population, we found large reductions in taxed beverage intake, separating the components of behavioral change from reformulation. This reduction was partially compensated by an increase in sugar and energy from untaxed beverages. Because policies such as taxes can incentivize reformulation, our use of an up-to-date FCT that reflects a rapidly changing food supply is novel and important for evaluating policy effects on intake.

Dynamics of the double burden of malnutrition and the changing nutrition reality.

The double burden of malnutrition (DBM), defined as the simultaneous manifestation of both undernutrition and overweight and obesity, affects most low-income and middle-income countries (LMICs). This Series paper describes the dynamics of the DBM in LMICs and how it differs by socioeconomic level. This Series paper shows that the DBM has increased in the poorest LMICs, mainly due to overweight and obesity increases. Indonesia is the largest country with a severe DBM, but many other Asian and sub-Saharan African countries also face this problem. We also discuss that overweight increases are mainly due to very rapid changes in the food system, particularly the availability of cheap ultra-processed food and beverages in LMICs, and major reductions in physical activity at work, transportation, home, and even leisure due to introductions of activity-saving technologies. Understanding that the lowest income LMICs face severe levels of the DBM and that the major direct cause is rapid increases in overweight allows identifying selected crucial drivers and possible options for addressing the DBM at all levels.

TV advertising and dietary intake in adolescents: a pre- and post- study of Chile's Food Marketing Policy.

BACKGROUND: The first phase of a comprehensive marketing policy was implemented in Chile in 2016. The policy restricted child-directed marketing of foods and beverages considered high in energy, total sugars, sodium or saturated fat ("high-in"). The objective of this study was to examine the role of high-in TV food advertising as a mediator in the association between policy implementation and consumption of high-in foods and beverages between 2016 and 2017. METHODS: Dietary data were from 24-hour diet recalls collected in 2016 and 2017 in a cohort of 12-14 y children (n = 721). Television use was assessed concurrently and linked to analyses of food advertisements on broadcast and paid television to derive individual-level estimates of exposure to high-in food advertising. A multilevel mediation analysis examined direct and indirect effects of the policy through advertising exposure. RESULTS: Following the policy implementation, high-in advertising exposure was significantly reduced (p < 0.01). High-in food intake decreased in adolescents with lower levels, but not higher levels, of high-in advertising at baseline. We did not find evidence of mediation by changes in high-in ad exposure. CONCLUSIONS: Adolescents' exposure to high-in TV advertising decreased after the 2016 implementation of the Chilean Food Labeling and Marketing Law. However, evidence that changes in advertisement mediated dietary changes was not found. Further research is needed to understand how marketing changes will relate to dietary changes after full implementation of the law and in the long term.

Socio-economic and racial/ethnic disparities in the nutritional quality of packaged food purchases in the USA, 2008-2018.

OBJECTIVE: To determine whether disparities exist in the nutritional quality of packaged foods and beverage purchases by household income, education and race/ethnicity and if they changed over time. DESIGN: We used Nielsen Homescan, a nationally representative household panel, from 2008 to 2018 (n = 672 821 household-year observations). Multivariate, multilevel regressions were used to model the association between sociodemographic groups and a set of nutritional outcomes of public health interest, including nutrients of concern (sugar, saturated fat and Na) and calories from specific food groups (fruits, non-starchy vegetables, processed meats, sugar-sweetened beverages and junk foods). SETTING: Household panel survey. PARTICIPANTS: Approximately 60 000 households each year from the USA. RESULTS: Disparities were found by income and education for most outcomes and widened for purchases of fruits, vegetables and the percentage of calories from sugar between 2008 and 2018. The magnitude of disparities was largest by education. Disparities between Black and White households include the consumption of processed meats and the percentage of calories from sugar, while no disparities were found between White and Hispanic households. Disparities have been largely persistent, as any significant changes over time have been substantively small. CONCLUSIONS: Policies to improve the healthfulness of packaged foods must be expanded beyond SSB taxes, and future research should focus on what mediates the relationship between education and diet so as not to exacerbate disparities.

Mexican households' food shopping patterns in 2015: analysis following nonessential food and sugary beverage taxes.

OBJECTIVE: To examine patterns of taxed and untaxed food and beverage shopping across store types after Mexico's sugary drink and non-essential food taxes, the nutritional quality of these patterns and the socio-economic characteristics associated with them. DESIGN: We performed k-means cluster analyses using households' percentage of food and beverage purchases from each store type (i.e. convenience stores, traditional shops (e.g. bodegas, tiendas, mom-and-pop shops), supermarkets, wholesalers and others). We calculated adjusted mean proportions of taxed and untaxed products (ml or g/capita per d) purchased in each pattern. We studied the associations between households' SES and shopping patterns using multinomial logistic regressions. Within shopping patterns, we obtained mean volumes and proportions of taxed and untaxed food and beverage subgroups and calculated the proportion of products purchased at each store type. SETTING: Mexico. PARTICIPANTS: Urban Mexican households (n 5493) from the Nielsen Mexico Consumer Panel Survey 2015. RESULTS: We found four beverage shopping patterns and three food shopping patterns, driven by the store type where most purchases were made. For beverages, 48 % of households were clustered in the Traditional pattern and purchased the highest proportion of taxed beverages. Low-SES households had the highest probability of clustering in the Traditional beverage shopping pattern. For foods, 35 % of households were clustered into the Supermarket pattern. High-SES households had the highest probability of clustering in the Supermarket food shopping pattern. CONCLUSIONS: The combination of store types where Mexican households purchase packaged foods and beverages varies. However, households in all shopping patterns and SES purchase taxed beverages mainly at traditional stores. Store-level strategies should be developed to intervene on traditional stores to improve the healthfulness of purchases.

Identification and functional analysis of glycemic trait loci in the China Health and Nutrition Survey.

To identify genetic contributions to type 2 diabetes (T2D) and related glycemic traits (fasting glucose, fasting insulin, and HbA1c), we conducted genome-wide association analyses (GWAS) in up to 7,178 Chinese subjects from nine provinces in the China Health and Nutrition Survey (CHNS). We examined patterns of population structure within CHNS and found that allele frequencies differed across provinces, consistent with genetic drift and population substructure. We further validated 32 previously described T2D- and glycemic trait-loci, including G6PC2 and SIX3-SIX2 associated with fasting glucose. At G6PC2, we replicated a known fasting glucose-associated variant (rs34177044) and identified a second signal (rs2232326), a low-frequency (4%), probably damaging missense variant (S324P). A variant within the lead fasting glucose-associated signal at SIX3-SIX2 co-localized with pancreatic islet expression quantitative trait loci (eQTL) for SIX3, SIX2, and three noncoding transcripts. To identify variants functionally responsible for the fasting glucose association at SIX3-SIX2, we tested five candidate variants for allelic differences in regulatory function. The rs12712928-C allele, associated with higher fasting glucose and lower transcript expression level, showed lower transcriptional activity in reporter assays and increased binding to GABP compared to the rs12712928-G, suggesting that rs12712928-C contributes to elevated fasting glucose levels by disrupting an islet enhancer, resulting in reduced gene expression. Taken together, these analyses identified multiple loci associated with glycemic traits across China, and suggest a regulatory mechanism at the SIX3-SIX2 fasting glucose GWAS locus.

An evaluation of Chile's Law of Food Labeling and Advertising on sugar-sweetened beverage purchases from 2015 to 2017: A before-and-after study.

BACKGROUND: Chile's Law of Food Labeling and Advertising, implemented in 2016, was the first national regulation to jointly mandate front-of-package warning labels, restrict child-directed marketing, and ban sales in schools of all foods and beverages containing added sugars, sodium, or saturated fats that exceed set nutrient or calorie thresholds. The objective of this study is to evaluate the impact of this package of policies on household beverage purchases. METHOD AND FINDINGS: In this observational study, monthly longitudinal data on packaged beverage purchases were collected from urban-dwelling households (n = 2,383) participating in the Kantar WordPanel Chile Survey from January 1, 2015, to December 31, 2017. Beverage purchases were linked to nutritional information at the product level, reviewed by a team of nutritionists, and categorized as "high-in" or "not high-in" according to whether they contained high levels of nutrients of concern (i.e., sugars, sodium, saturated fat, or energy) according to Chilean nutrient thresholds and were thus subject to the law's warning label, marketing restriction, and school sales ban policies. The majority of high-in beverages were categorized as such because of high sugar content. We used fixed-effects models to compare the observed volume as well as calorie and sugar content of postregulation beverage purchases to a counterfactual based on preregulation trends, overall and by household-head educational attainment. Of households included in the study, 37% of household heads had low education (less than high school), 40% had medium education (graduated high school), and 23% had high education (graduated college), with the sample becoming more educated over the study period. Compared to the counterfactual, the volume of high-in beverage purchases decreased 22.8 mL/capita/day, postregulation (95% confidence interval [CI] -22.9 to -22.7; p < 0.001), or 23.7% (95% CI -23.8% to -23.7%). High-educated and low-educated households showed similar absolute reductions in high-in beverage purchases (approximately 27 mL/capita/day; p < 0.001), but for high-educated households this amounted to a larger relative decline (-28.7%, 95% CI -28.8% to -28.6%) compared to low-educated households (-21.5%, 95% CI -21.6% to -21.4%), likely because of the high-educated households' lower level of high-in beverage purchases in the preregulation period. Calories from high-in beverage purchases decreased 11.9 kcal/capita/day (95% CI -12.0 to -11.9; p < 0.001) or 27.5% (95% CI -27.6% to -27.5%). Calories purchased from beverages classified as "not high-in" increased 5.7 kcal/capita/day (95% CI 5.7-5.7; p < 0.001), or 10.8% (10.8%-10.8%). Calories from total beverage purchases decreased 7.4 kcal/capita/day (95% CI -7.4 to -7.3; p < 0.001), or 7.5% (95% CI -7.6% to -7.5%). A key limitation of this study is the inability to assess causality because of its observational nature. We also cannot determine whether observed changes in purchases are due to reformulation or consumer behavioral change, nor can we parse out the effects of the labeling, marketing, and school sales ban policies. CONCLUSIONS: Purchases of high-in beverages significantly declined following implementation of Chile's Law of Food Labeling and Advertising; these reductions were larger than those observed from single, standalone policies, including sugar-sweetened-beverage taxes previously implemented in Latin America. Future research should evaluate the effects of Chile's policies on purchases of high-in foods, dietary intake, and long-term purchasing changes.

Changes in the amount of nutrient of packaged foods and beverages after the initial implementation of the Chilean Law of Food Labelling and Advertising: A nonexperimental prospective study.

BACKGROUND: In June 2016, the first phase of the Chilean Food Labelling and Advertising Law that mandated front-of-package warning labels and marketing restrictions for unhealthy foods and beverages was implemented. We assess foods and beverages reformulation after this initial implementation. METHODS AND FINDINGS: A data set with the 2015 to 2017 nutritional information was developed collecting the information at 2 time periods: preimplementation (T0: January-February 2015 or 2016; n = 4,055) and postimplementation (T1: January-February 2017; n = 3,025). Quartiles of energy and nutrients of concern (total sugars, saturated fats, and sodium, per 100 g/100 mL) and the proportion of products with energy and nutrients exceeding the cutoffs of the law (i.e., products "high in") were compared pre- and postimplementation of the law in cross-sectional samples of products with sales >1% of their specific food or beverage groups, according to the Euromonitor International Database; a longitudinal subsample (i.e., products collected in both the pre- and postimplementation periods, n = 1,915) was also analyzed. Chi-squared, McNemar tests, and quantile regressions (simple and multilevel) were used for comparing T0 and T1. Cross-sectional analysis showed a significant decrease (T0 versus T1) in the proportion of product with any "high in" (from 51% [95% confidence interval (CI) 49-52] to 44% [95% CI 42-45]), mostly in food and beverage groups in which regulatory cutoffs were below the 75th percentile of the nutrient or energy distribution. Most frequent reductions were in the proportion of "high in" sugars products (in beverages, milks and milk-based drinks, breakfast cereals, sweet baked products, and sweet and savory spreads; from 80% [95% CI 73-86] to 60% [95% CI 51-69]) and in "high in sodium" products (in savory spreads, cheeses, ready-to-eat meals, soups, and sausages; from 74% [95% CI 69-78] to 27% [95% CI 20-35]). Conversely, the proportion of products "high in" saturated fats only decreased in savory spreads (p < 0.01), and the proportion of "high in" energy products significantly decreased among breakfast cereals and savory spreads (both p < 0.01). Quantile analyses showed that most of the changes took place close to the cutoff values, with only few exceptions of overall left shifts in distribution. Longitudinal analyses showed similar results. However, it is important to note that the nonexperimental nature of this study does not allow to imply causality of these findings. CONCLUSIONS: Our results show that, after initial implementation of the Chilean Law of Food Labelling and Advertising, there was a significant decrease in the amount of sugars and sodium in several groups of packaged foods and beverages. Further studies should clarify how food reformulation will impact dietary quality of the population.

Dietary Potassium Intake Remains Low and Sodium Intake Remains High, and Most Sodium is Derived from Home Food Preparation for Chinese Adults, 1991-2015 Trends.

BACKGROUND: Intervention strategies to reduce sodium intake and increase potassium intake may decrease blood pressure; however, most are focused on reducing sodium in processed food globally. OBJECTIVES: We attempt to fill important gaps in understanding the dynamics of these dietary determinants of hypertension in China. METHODS: We used data on 29,926 adults aged ≥20 y between 1991 and 2015 from an ongoing cohort, the China Health and Nutrition Survey. We collected detailed diet data with use of weighing methods with 3 consecutive 24-h recalls. With panel data random-effects models, we analyzed factors associated with sodium and potassium intakes and sodium to potassium (Na/K) ratios. RESULTS: Sodium intake decreased from 6.3 g/d in 1991 to 4.1 g/d in 2015, still twice the tolerable upper intake recommended by the WHO. Potassium intake was 1.7 g/d in 1991 and 1.5 g/d in 2015, below half that recommended by the WHO. The Na/K ratio decreased from 4.1 (ratios in g) in 1991 to 3.1 in 2015, 5 times the recommendation of the WHO. More than two-thirds (67%) of sodium intake was from salt added during food preparation, with 8.8% from processed foods in 2015, up from 5.0% in 1991. The most at-risk populations lived in China's central region and rural areas, were middle aged, had lower educations, or were farmers. CONCLUSIONS: Sodium intake is very high across all regions in China. As part of sodium reduction efforts, China should target people living in the central region and adults aged above 60 whose sodium intakes are much higher. Strategies to decrease sodium intake and increase potassium intake should be different from those applied in the Western world where the major source is processed food. Reduced sodium higher potassium salts should become a major policy initiative in China.

Contribution of major food companies and their products to household dietary sodium purchases in Australia.

BACKGROUND: The Australian federal government will soon release voluntary sodium reduction targets for 30 packaged food categories through the Healthy Food Partnership. Previous assessments of voluntary targets show variable industry engagement, and little is known about the extent that major food companies and their products contribute to dietary sodium purchases among Australian households. METHODS: The aim of this cross-sectional study was to identify the relative contribution that food companies and their products made to Australian household sodium purchases in 2018, and to examine differences in sodium purchases by household income level. We used 1 year of grocery purchase data from a nationally representative consumer panel of Australian households who reported their grocery purchases (the Nielsen Homescan panel), combined with database that contains product-specific sodium content for packaged foods and beverages (FoodSwitch). The top food companies and food categories were ranked according to their contribution to household sodium purchases. Differences in per capita sodium purchases by income levels were assessed by 1-factor ANOVA. All analyses were modelled to the Australian population in 2018 using sample weights. RESULTS: Sodium data were available from 7188 households who purchased 26,728 unique products and purchased just under 7.5 million food product units. Out of 1329 food companies, the top 10 accounted for 35% of unique products and contributed to 58% of all sodium purchased from packaged foods and beverages. The top three companies were grocery food retailers each contributing 12-15% of sodium purchases from sales of their private label products, particularly processed meat, cheese and bread. Out of the 67 food categories, the top 10 accounted for 73% of sodium purchased, particularly driven by purchases of processed meat (14%), bread (12%) and sauces (11%). Low-income Australian households purchased significantly more sodium from packaged products than high-income households per capita (452 mg/d, 95%CI: 363-540 mg/d, P < 0.001). CONCLUSIONS: A small number of food companies and food categories account for most of the dietary sodium purchased by Australian households. Prioritizing government engagement with these groups could deliver a large reduction in population sodium intake.

Correction to: Contribution of major food companies and their products to household dietary sodium purchases in Australia.

An amendment to this paper has been published and can be accessed via the original article.

Soft drink intake is associated with weight gain, regardless of physical activity levels: the health workers cohort study.

BACKGROUND: While soft drink intake is positively associated with weight gain, no previous study has investigated whether leisure-time physical activity modifies this association. We estimated the association between soft drink intake and body weight, and explored if this association differed by levels of leisure-time physical activity. METHODS: We used data from the health workers cohort study, a prospective study of Mexican adults (20 to 85y old), including 1268 health workers and their families, who were assessed at baseline (2004-2006) and follow-up (2010-2012). We assessed soft drink intake (cola and flavored soda) using a validated food frequency questionnaire. We measured leisure-time physical activity using a self-report questionnaire, and categorized according to the 2010 World Health Organization (WHO) recommendations. Body weight was measured by trained personnel. The association between changes in soft drink intake and weight change, and if such association varied by levels of physical activity was estimated through fixed-effect models. RESULTS: An increase in one serving per day of soft drink was associated with 0.10 kg (95% CI 0.00, 0.19) increase in weight per year. This association was not modified by leisure-time physical activity, as demonstrated by the magnitude of the coefficient of the interaction between soft drink, leisure-time physical activity, and time (- 0.03 kg, 95% CI - 0.27 to 0.21); people who complied with the WHO physical activity recommendations gained 0.36 kg/year per serving of soft drink, compared to 0.48 kg/year for people without sufficient physical activity. CONCLUSIONS: Soft drink intake was associated with weight gain. Leisure-time physical activity did not modify the association between soft drink intake and weight gain. This finding challenges the idea that leisure-time physical activity is sufficient to counterbalance weight gain associated to soft drink intake.