Monitoring changes in the nutritional content of ready-to-eat grain-based dessert products manufactured and purchased between 2005 and 2012

Anticipatory effects of the implementation of the Chilean Law of Food Labeling and Advertising on food and beverage product reformulation

This study evaluated the anticipated food and beverage product reformulation by industry before the Chilean Law of Food Labeling and Advertising (Law 20.606) was implemented in June 2016 requiring a front-of-package (FOP) warning label for products high in sodium, total sugars, saturated fats, and/or total energy. Fieldworkers photographed a purposive sample of packaged food and beverage products in February 2015 (n = 5421) and February 2016 (n = 5479) from six different supermarkets in Santiago, Chile. The same products collected in both years (n = 2086) from 17 food and beverage categories with added critical nutrients (nutrients of concern: sodium, total sugars, and saturated fats) were included in this longitudinal study. The average change in energy and critical nutrient content was estimated by category. The number of warning labels potentially avoided because of reformulation was determined. Between February 2015 and February 2016, no category experienced reductions >5% average change in energy or critical nutrient content; and some increased in critical nutrient content. Few products (<2%) would have avoided at least one warning label with reformulation. In a diverse sample of food and beverage products, there was minimal reformulation by industry in anticipation of the implementation of the 2016 Chilean Law of Food Labeling and Advertising.

Ultra-processed foods and the limits of product reformulation

The nutritional reformulation of processed food and beverage products has been promoted as an important means of addressing the nutritional imbalances in contemporary dietary patterns. The focus of most reformulation policies is the reduction in quantities of nutrients-to-limit - Na, free sugars, SFA, trans-fatty acids and total energy. The present commentary examines the limitations of what we refer to as 'nutrients-to-limit reformulation' policies and practices, particularly when applied to ultra-processed foods and drink products. Beyond these nutrients-to-limit, there are a range of other potentially harmful processed and industrially produced ingredients used in the production of ultra-processed products that are not usually removed during reformulation. The sources of nutrients-to-limit in these products may be replaced with other highly processed ingredients and additives, rather than with whole or minimally processed foods. Reformulation policies may also legitimise current levels of consumption of ultra-processed products in high-income countries and increased levels of consumption in emerging markets in the global South.

Testing the Capacity of a Multi-Nutrient Profiling System to Guide Food and Beverage Reformulation: Results from Five National Food Composition Databases

Nutrient profiling ranks foods based on their nutrient composition, with applications in multiple aspects of food policy. We tested the capacity of a category-specific model developed for product reformulation to improve the average nutrient content of foods, using five national food composition datasets (UK, US, China, Brazil, France). Products (n = 7183) were split into 35 categories based on the Nestlé Nutritional Profiling Systems (NNPS) and were then classified as NNPS 'Pass' if all nutrient targets were met (energy (E), total fat (TF), saturated fat (SFA), sodium (Na), added sugars (AS), protein, calcium). In a modelling scenario, all NNPS Fail products were 'reformulated' to meet NNPS standards. Overall, a third (36%) of all products achieved the NNPS standard/pass (inter-country and inter-category range: 32%-40%; 5%-72%, respectively), with most products requiring reformulation in two or more nutrients. The most common nutrients to require reformulation were SFA (22%-44%) and TF (23%-42%). Modelled compliance with NNPS standards could reduce the average content of SFA, Na and AS (10%, 8% and 6%, respectively) at the food supply level. Despite the good potential to stimulate reformulation across the five countries, the study highlights the need for better data quality and granularity of food composition databases.

Dietary Strategies Implicated in the Prevention and Treatment of Metabolic Syndrome

Metabolic syndrome (MetS) is established as the combination of central obesity and different metabolic disturbances, such as insulin resistance, hypertension and dyslipidemia. This cluster of factors affects approximately 10%-50% of adults worldwide and the prevalence has been increasing in epidemic proportions over the last years. Thus, dietary strategies to treat this heterogenic disease are under continuous study. In this sense, diets based on negative-energy-balance, the Mediterranean dietary pattern, n-3 fatty acids, total antioxidant capacity and meal frequency have been suggested as effective approaches to treat MetS. Furthermore, the type and percentage of carbohydrates, the glycemic index or glycemic load, and dietary fiber content are some of the most relevant aspects related to insulin resistance and impaired glucose tolerance, which are important co-morbidities of MetS. Finally, new studies focused on the molecular action of specific nutritional bioactive compounds with positive effects on the MetS are currently an objective of scientific research worldwide. The present review summarizes some of the most relevant dietary approaches and bioactive compounds employed in the treatment of the MetS to date.

Trends in racial/ethnic and income disparities in foods and beverages consumed and purchased from stores among US households with children, 2000-2013

BACKGROUND

It is unclear whether racial/ethnic and income differences in foods and beverages obtained from stores contribute to disparities in caloric intake over time.

OBJECTIVE

We sought to determine whether there are disparities in calories obtained from store-bought consumer packaged goods (CPGs), whether brands (name brands compared with private labels) matter, and if disparities have changed over time.

DESIGN

We used NHANES individual dietary intake data among households with children along with the Nielsen Homescan data on CPG purchases among households with children. With NHANES, we compared survey-weighted energy intakes for 2003-2006 and 2009-2012 from store and nonstore sources by race/ethnicity [non-Hispanic whites (NHWs), non-Hispanic blacks (NHBs), and Hispanic Mexican-Americans) and income [≤185% federal poverty line (FPL), 186-400% FPL, and >400% FPL]. With the Nielsen data, we compared 2000-2013 trends in calories purchased from CPGs (obtained from stores) across brands by race/ethnicity (NHW, NHB, and Hispanic) and income. We conducted random-effect models to derive adjusted trends and differences in calories purchased (708,175 observations from 64,709 unique households) and tested whether trends were heterogeneous by race/ethnicity or income.

RESULTS

Store-bought foods and beverages represented the largest component of dietary intake, with greater decreases in energy intakes in nonstore sources for foods and in store sources for beverages. Beverages from stores consistently decreased in all subpopulations. However, in adjusted models, reductions in CPG calories purchased in 2009-2012 were slower for NHB and low-income households than for NHW and high-income households, respectively. The decline in calories from name-brand food purchases was slower among NHB, Hispanic, and lowest-income households. NHW and high-income households had the highest absolute calories purchased in 2000.

CONCLUSIONS

Across 2 large data sources, we found decreases in intake and purchases of beverages from stores across racial/ethnic and income groups. However, potentially beneficial reductions in calories purchased were more pronounced in some subgroups over others.

Estimating population food and nutrient exposure: a comparison of store survey data with household panel food purchases

Population exposure to food and nutrients can be estimated from household food purchases, but store surveys of foods and their composition are more available, less costly and might provide similar information. Our aim was to compare estimates of nutrient exposure from a store survey of packaged food with those from household panel food purchases. A cross-sectional store survey of all packaged foods for sale in two major supermarkets was undertaken in Auckland, New Zealand, between February and May 2012. Longitudinal household food purchase data (November 2011 to October 2012) were obtained from the nationally representative, population-weighted New Zealand Nielsen HomeScan® panel. Data on 8440 packaged food and non-alcoholic beverage products were collected in the store survey. Food purchase data were available for 1229 households and 16 812 products. Store survey data alone produced higher estimates of exposure to Na and sugar compared with estimates from household panel food purchases. The estimated mean difference in exposure to Na was 94 (95 % CI 72, 115) mg/100 g (20 % relative difference; P<0·01), to sugar 1·6 (95 % CI 0·8, 2·5) g/100 g (11 %; P<0·01), to SFA −0·3 (95 % CI −0·8, 0·3) g/100 g (6 %; P=0·3) and to energy −18 (−71, 35) kJ/100 g (2 %; P=0·51). Compared with household panel food purchases, store survey data provided a reasonable estimate of average population exposure to key nutrients from packaged foods. However, caution should be exercised in using such data to estimate population exposure to Na and sugar and in generalising these findings to other countries, as well as over time.

Is the degree of food processing and convenience linked with the nutritional quality of foods purchased by US households?

BACKGROUND

"Processed foods" are defined as any foods other than raw agricultural commodities and can be categorized by the extent of changes occurring in foods as a result of processing. Conclusions about the association between the degree of food processing and nutritional quality are discrepant.

OBJECTIVE

We aimed to determine 2000-2012 trends in the contribution of processed and convenience food categories to purchases by US households and to compare saturated fat, sugar, and sodium content of purchases across levels of processing and convenience.

DESIGN

We analyzed purchases of consumer packaged goods for 157,142 households from the 2000-2012 Homescan Panel. We explicitly defined categories for classifying products by degree of industrial processing and separately by convenience of preparation. We classified >1.2 million products through use of barcode-specific descriptions and ingredient lists. Median saturated fat, sugar, and sodium content and the likelihood that purchases exceeded maximum daily intake recommendations for these components were compared across levels of processing or convenience by using quantile and logistic regression.

RESULTS

More than three-fourths of energy in purchases by US households came from moderately (15.9%) and highly processed (61.0%) foods and beverages in 2012 (939 kcal/d per capita). Trends between 2000 and 2012 were stable. When classifying foods by convenience, ready-to-eat (68.1%) and ready-to-heat (15.2%) products supplied the majority of energy in purchases. The adjusted proportion of household-level food purchases exceeding 10% kcal from saturated fat, 15% kcal from sugar, and 2400 mg sodium/2000 kcal simultaneously was significantly higher for highly processed (60.4%) and ready-to-eat (27.1%) food purchases than for purchases of less-processed foods (5.6%) or foods requiring cooking/preparation (4.9%).

CONCLUSIONS

Highly processed food purchases are a dominant, unshifting part of US purchasing patterns, but highly processed foods may have higher saturated fat, sugar, and sodium content than less-processed foods. Wide variation in nutrient content suggests food choices within categories may be important.