Do Nutrient-Based Front-of-Pack Labelling Schemes Support or Undermine Food-Based Dietary Guideline Recommendations? Lessons from the Australian Health Star Rating System

Scaling up food pricing policies in the Pacific: a guide to action

There are calls for governments around the world to adopt pricing policies, including taxes, subsidies and price controls that ensure all people have access to, and can afford, healthy diets. Despite the strong potential of pricing policies to promote healthy diets and to support a post-COVID-19 recovery, there are gaps in evidence with regard to 'how' to design and apply effective food taxes in practice, and countries report challenges in navigating the different policy options.In this practice piece, we examine the global evidence for food taxes with a view to identifying practical lessons for policy design, adoption and implementation, using the Pacific Islands Region as a case study. We present a systematic resource that draws on locally generated evidence, and a Pacific conceptualisation of healthy diets, to address considerations in setting the tax base, rate and mechanisms, and to ensure tax targets are clearly identifiable within national tax and administrative systems. Health and Finance collaboration at the country level could ensure tax design addresses concerns for the impacts of food taxes on employment, economics and equity, as well as position food taxes as an opportunity to fund revenue shortfalls faced by governments following the COVID-19 pandemic. We demonstrate a need to review other policies for consistency with national health objectives to ensure that countries avoid inadvertently undermining health taxes, for example, by ensuring that foods with known non-communicable disease risk are not being price protected or promoted.

Current food labelling practices in online supermarkets in Australia

BACKGROUND

Food product labelling can support consumer decision-making. Several food product labels (nutrition information panels (NIPs), ingredients lists, allergen declarations and country-of-origin) are mandated for physical product packaging in Australia, with a voluntary front-of-pack nutrition labelling system, Health Star Ratings (HSRs), also available. However, labelling requirements are not explicitly extended to online settings and the extent to which this information is available in these increasingly important food environments has not been assessed.

METHODS

Data from all individual food product pages was collected from the online stores of the two dominant supermarket retailers in Australia using automated web scraping in April-May 2022 (n = 22,077 products collected). We assessed the proportion of pages displaying NIPs, ingredients, allergens, country-of-origin and HSRs after excluding products ineligible to display the respective label. We also assessed whether HSRs were differentially available for higher- (healthier) and lower-scoring (less healthy) products, with HSR scores drawn from a comprehensive Australian food composition database, FoodSwitch. A manual inspection of randomly selected product pages (n = 100 for each label type per supermarket), drawn from products displaying the relevant label, was conducted to assess whether the labels were immediately visible to users (i.e. without scrolling or clicking). Differences in labelling prevalence and visibility were compared using chi-squared tests.

RESULTS

Across both supermarkets, country-of-origin labelling was almost complete (displayed on 93% of food product pages), but NIPs (49%), ingredients (34%) and allergens (53%) were less frequently displayed. HSRs were infrequently displayed (14% across both supermarkets) and more likely to be applied to higher-scoring products (22% on products with ≥ 3.5HSR v 0.4% on products with < 3.5HSR, p < 0.001). One supermarket was far more likely to make NIPs (100% v 2%, p < 0.001), ingredients (100% v 19%, p < 0.001) and allergens (97% v 0%, p < 0.001) information immediately visible, though the other made HSRs more apparent (22% v 75%, p < 0.001). Both supermarkets displayed country-of-origin labels prominently (100% v 86%, p < 0.001).

CONCLUSIONS

Food product labelling varies in online supermarkets in Australia overall and between supermarkets, while the design of online stores resulted in differences in labelling visibility. The near-complete display of country-of-origin labels and differential application of HSRs to higher-scoring products may reflect their use as marketing tools. Our findings highlight an urgent need for food labelling regulations to be updated to better account for online retail food environments.

Front-of-Package Nutrition Labeling and Its Impact on Food Industry Practices: A Systematic Review of the Evidence

The obesity epidemic has become a major public health concern globally, and the food supply is a significant driver of this trend. Front-of-package (FOP) labels have been implemented in many countries to encourage healthier food choices. This systematic review aimed to examine the effect of FOP label implementation on food manufacturers' practices. A comprehensive search of multiple databases was conducted following PRISMA guidelines, identifying 39 relevant articles from 1990 to 2021. The studies indicated that FOP labels conveying intuitive information influenced product reformulation, whereas those with numerical information without specific guidance had no impact on reducing unhealthy nutrients. The most common outcomes were sodium, sugar, and calorie reduction. Mandatory policies reported higher and more consistent effects on product reformulation compared to voluntary approaches. Voluntary FOP labeling resulted in low uptake and tended to be applied to healthier products. Food manufacturers responded to FOP labeling heterogeneously, depending on the label design and type of enforcement. FOP label implementation can reduce nutrients of concern but food manufacturers behave strategically by labeling healthier choices. This review provides recommendations for maximizing the benefits of using FOP labels to prevent obesity, and findings can inform future public health research and policymaking.

The ability of five different front-of-pack labels to assist Australian consumers to identify healthy versus unhealthy foods

OBJECTIVE

The aim of this study was to assess the relative ability of different interpretive front-of-pack food labels to alert consumers to both healthier and unhealthier options to inform their food choices.

METHODS

One thousand Australians completed an online experiment where they rated the nutritional quality of sets of fictional products pre- and post-randomisation to one of five front-of-pack labels: Health Star Rating, Multiple Traffic Lights, Nutri-Score, Reference Intakes and Warning Label. Two sample z-tests were used to assess the ability of each label to facilitate the correct identification of the least and most healthy product options.

RESULTS

The Nutri-Score was superior in assisting respondents to identify both the healthiest and unhealthiest options. The Health Star Rating ranked second for both outcomes, followed by the Multiple Traffic Lights.

CONCLUSIONS

Results reinforce the role of interpretive front-of-pack labels in assisting consumers to understand the nutritional quality of food products and suggest spectrum labels may provide superior utility in assisting consumers to identify both the most and least nutritious products from among available product options.

IMPLICATIONS FOR PUBLIC HEALTH

The strongest performance of a highly interpretive front-of-pack label (Nutri-Score) featuring colour in a summary indicator suggests potential strategies for enhancing the performance of the Health Star Rating.

Plant-Based Meat Alternatives: Technological, Nutritional, Environmental, Market, and Social Challenges and Opportunities

There is a growing awareness that fostering the transition toward plant-based diets with reduced meat consumption levels is essential to alleviating the detrimental impacts of the food system on the planet and to improving human health and animal welfare. The reduction in average meat intake may be reached via many possible ways, one possibility being the increased consumption of plant-based meat alternatives (PBMAs). For this reason, in recent years, hundreds of products have been launched on the market with sensory attributes (i.e., taste, texture, appearance, and smell) similar to their animal counterparts; however, these products have often a long list of ingredients and their nutritional values are very different from animal meat. The present review aims to highlight the main opportunities and challenges related to the production and consumption of PBMAs through an interdisciplinary approach. Aspects related to the production technology, nutritional profiles, potential impacts on health and the environment, and the current market and consumer acceptance of PBMAs are discussed. Focusing on the growing literature on this topic, this review will also highlight research gaps related to PBMAs that should be considered in the future, possibly through the collaboration of different stakeholders that can support the transition toward sustainable plant-based diets.

Regulatory governance pathways to improve the efficacy of Australian food policies

BACKGROUND

Effective regulatory governance, which entails the actors, processes and contexts within which policies are developed, designed and implemented, is crucial for food policies to improve food environments, consumer behaviour and diet-related health.

OBJECTIVE

To critically assess Australian food policies for the presence of necessary and sufficient regulatory governance conditions that have been shown to effect positive nutrition outcomes from food policies.

METHODS

We assessed the Australian National Association of Advertisers (AANA) Food and Beverage Advertising Code, Health Star Rating Front of Pack labelling system and Sodium reformulation under the Healthy Food Partnership (HFP). The policies were analysed for the presence/absence of five regulatory governance conditions - the extent of industry involvement, regulatory design, instrument design, monitoring and enforcement.

RESULTS

All three policies lack one or more regulatory governance conditions crucial for policy success. Each policy has high industry involvement, an absence of government-led policy-making underpinned by legislation and lacks comprehensive enforcement. Except for the Health Star Rating system, the policies did not have comprehensive monitoring - a necessary condition for policy success.

PUBLIC HEALTH IMPLICATIONS

The efficacy of these three policies can be enhanced by minimising industry involvement, improving government oversight and improving monitoring systems.

Validation of the Thumbs food classification system as a tool to accurately identify the healthiness of foods

The Thumbs food classification system was developed to assist remote Australian communities to identify food healthiness. This study aimed to assess: (1) the Thumbs system’s alignment to two other food classification systems, the Health Star Rating (HSR) and the Northern Territory School Canteens Guidelines (NTSCG); (2) its accuracy in classifying ‘unhealthy’ (contributing to discretionary energy and added sugars) and ‘healthy’ products against HSR and NTSCG; (3) areas for optimisation. Food and beverage products sold between 05/2018 and 05/2019 in fifty-one remote stores were classified in each system. System alignment was assessed by cross-tabulating percentages of products, discretionary energy and added sugars sold assigned to the same healthiness levels across the systems. The system/s capturing the highest percentage of discretionary energy and added sugars sold in ‘unhealthy’ products and the lowest levels in ‘healthy’ products were considered the best performing. Cohen’s κ was used to assess agreement between the Thumbs system and the NTSCG for classifying products as healthy. The Thumbs system classified product healthiness in line with the HSR and NTSCG, with Cohen’s κ showing moderate agreement between the Thumbs system and the NTSCG (κ = 0·60). The Thumbs system captured the most discretionary energy sold (92·2 %) and added sugar sold (90·6 %) in unhealthy products and the least discretionary energy sold (0 %) in healthy products. Modifications to optimise the Thumbs system include aligning several food categories to the NTSCG criteria and addressing core/discretionary classification discrepancies of fruit juice/drinks. The Thumbs system offers a classification algorithm that could strengthen the HSR system.

Modelling the Impact of Reducing Ultra-Processed Foods Based on the NOVA Classification in Australian Women of Reproductive Age

Women of reproductive age have a high proportion of overweight/obesity and an overall poor nutritional intake and diet quality. Nutritional modelling is a method to forecast potential changes in nutrition composition that may offer feasible and realistic changes to dietary intake. This study uses simulation modelling to estimate feasible population improvements in dietary profile by reducing ultra-processed food (UPF) consumption in Australian women of reproductive age. The simulation used weighted data from the most recent 2011–2012 National Nutrition and Physical Activity Survey. A total of 2749 women aged 19–50 years was included, and 5740 foods were examined. The highest daily energy, saturated fat, and added sugar and sodium came from UPF. Reducing UPF by 50% decreased energy intake by 22%, and saturated fat, added sugar, sodium, and alcohol by 10–39%. Reducing UPF by 50% and increasing unprocessed or minimally processed foods by 25% led to a lower estimated reduction in energy and greater estimated reductions in saturated fat and sodium. Replacement of 50% UPF with 75% of unprocessed or minimally processed foods led to smaller estimated reductions in energy and nutrients. Our results provide insight as to the potential impact of population reductions in UPF, but also increasing intake of unprocessed or minimally processed foods, which may be the most feasible strategy for improved nutritional intake.

Comparing the Effects of Four Front-of-Package Nutrition Labels on Consumer Purchases of Five Common Beverages and Snack Foods: Results from a Randomized Trial

BACKGROUND

Front-of-package (FOP) nutrition labeling systems differ in how they rate food and beverage products. There is a need to examine the implications of these differences, including their focus on nutrients of public health concern.

OBJECTIVE

Our aim was to examine the impacts of 4 common FOP labels on consumers' purchases of products that received conflicting ratings across FOP systems.

DESIGN

In an experimental marketplace, participants were randomized to complete a series of purchases under 1 of 5 FOP conditions: no label, "high in" nutrient labels, multiple traffic light, Health Star Rating, or a 5-color nutrition grade.

PARTICIPANTS/SETTING

A final sample of 3,584 Canadians (13 years and older) were recruited from shopping centers in March to May 2018.

MAIN OUTCOME MEASURES

Probability of purchasing was assessed for 5 product categories (100% fruit juice, plain milk, chocolate milk, cheese snacks, and diet beverages), which received conflicting ratings across the FOP conditions.

STATISTICAL ANALYSES

Separate generalized linear mixed models estimated the influence of FOP condition on 5 binary outcomes (1 = purchased, 0 = not purchased) corresponding to the product categories.

RESULTS

Few differences were observed among the full sample. Among participants who noticed the labels (n = 1,993), those in the Health Star Rating condition were 4.5 percentage points (95% CI -7.0 to -1.9) more likely to purchase 100% fruit juice (compared to multiple traffic light) and 3.3 (95% CI 0.4 to 6.2) and 3.0 percentage points (95% CI 0.1 to 6.1) more likely to purchase cheese snacks (compared to no label and "high in"). "High in" labels produced fewer purchases of chocolate milk than no label.

CONCLUSIONS

Despite some similarities, existing FOP systems differ in the extent to which they promote or dissuade purchases of common product categories. Although the Health Star Rating might encourage purchases of products with certain positive nutritional attributes, "high in" and multiple traffic light systems might more effectively discourage purchases of products contributing nutrients of public health concern.

Growth of Ready Meals in Australian Supermarkets: Nutrient Composition, Price and Serving Size

Pre-prepared, or ready meals (frozen, chilled and shelf-stable) are increasingly available in supermarkets in developed countries. This study aimed to investigate how the range of ready meals in Australian supermarkets has changed from 2014 to 2020, and how products vary by price, serving size, nutrient composition and Health Star Rating. Product information was obtained from the FoodTrack™ packaged food database for the years 2014 to 2019 and from an instore audit of products available in Adelaide, Australia for 2020. There was a 13% annual average increase in the number of ready meals available in supermarkets. Serving size did not change (median 350 g, p-trend = 0.100) and price increased modestly from 2014 to 2020 (median $1.67 to $1.79/100 g, p-trend < 0.001), with chilled ready meals being the most expensive. A modest decrease in sodium density from 2014 to 2020 (median 275 to 240 mg/100 g, p-trend < 0.001) was seen. However, the category has a wide range in Health Star Ratings and nutrient composition, highlighting the importance of appropriate consumer choice to optimise health benefits. With the increasing availability of ready meals, global improvements within this category should be encouraged and consumers guided to choose healthier products.

Does the Australian Health Star Rating System Encourage Added Sugar Reformulation? Trends in Sweetener Use in Australia

Dietary risk factors, including excess added sugar intake, are leading contributors to Australia's burden of disease. An objective of the Australian Health Star Rating (HSR) system is to encourage the reformulation of packaged foods. Manufacturers may improve a product's HSR by replacing added sugar with non-nutritive sweeteners (NNS). Concerns have been raised regarding the potential substitution effects of ultra-processed foods containing NNS for whole foods, and the long-term impact this may have on population health. The aim of this study was to determine whether the implementation of the HSR system has impacted the use of added sugars and NNS in the food supply. Four product categories were used: products with no added sweetener, products containing added sugar only, products containing NNS only, and products containing a combination of added sugar and NNS. Of 6477 newly released products analyzed displaying a HSR in Australia between 2014-2020, 63% contained added sugars. The proportion of new products sweetened with added sugars increased over time, while NNS use did not, despite a higher average and median HSR for products sweetened with NNS. These findings suggest that at the current time, the HSR system may not discourage the use of added sugars in new products or incentivize the reformulation of added sugar with NNS. As the health risks of NNS are questioned, increased reformulation of products with NNS to reduce the presence of added sugar in the food supply may not address broader health concerns. Instead, supporting the promotion of whole foods and drinks should be prioritized, as well as policy actions that reduce the proliferation and availability of UPFs.

Perspective: Why Whole Grains Should Be Incorporated into Nutrient-Profile Models to Better Capture Nutrient Density

Healthy eating patterns, as described by dietary guidelines, typically favor whole grains, low-fat dairy, vegetables, fruit, legumes, and nuts and seeds. Nutrient-profiling (NP) models capture nutrient density of individual foods and can inform healthier food choices. Although whole grains are prominently featured in most dietary guidelines, they are not included in most NP models. Healthy foods, as identified by most NP models, are those that contain limited amounts of energy, saturated fat, total or added sugar, and sodium. As global dietary guidance turns to foods and food groups as opposed to individual nutrients, future nutrient-density metrics may need to do the same. Potential methods to incorporate whole grains into the overall concept of nutrient density and into selected NP models are outlined in this review. Incorporating whole grains into the Nutri-Score, Health Star Rating, or the Nutrient Rich Food index will require further analyses of dietary nutrient density in relation to health outcomes across diverse population subgroups. We present the rationale for how the inclusion of whole grains in NP models can assist in the implementation of dietary guidance.

Australian Consumers Are Willing to Pay for the Health Star Rating Front-of-Pack Nutrition Label

The Australia and New Zealand Ministerial Forum on Food Regulation has supported the recommendations set out in the 2019 Health Star Rating System Five Year Review Report. Specifically, the forum supported, in principle, Recommendation 9, to mandate the Health Star Rating if clear uptake targets were not achieved while the system is voluntary. Given that mandatory labelling is being considered, it is important to investigate how much consumers value the Health Star Rating in order to understand potential consumer uptake and inform industry. The aim of this study was to assess consumers' valuation of the Health Star Rating system by analysing their willingness to pay for a packaged food product with the Health Star Rating label, utilising a double-bounded dichotomous choice contingent valuation approach. The results indicate that almost two-thirds of Australian household grocery shoppers were willing to pay more for a product with the Health Star Rating, on average up to an additional 3.7% of the price of the product. However, public health nutrition benefits associated with consumers' willingness to pay more for products with the Health Star Rating is currently limited by the lack of guarantee of the systems' accuracy. Given consumer support, a well validated and comprehensive Health Star Rating labelling system can potentially improve health outcomes, cost effectiveness and reduce environmental impacts.

Seventeen-Year Associations between Diet Quality Defined by the Health Star Rating and Mortality in Australians: The Australian Diabetes, Obesity and Lifestyle Study (AusDiab)

BACKGROUND

The Health Star Rating (HSR) is the government-endorsed front-of-pack labeling system in Australia and New Zealand.

OBJECTIVES

We aimed to examine prospective associations of a dietary index (DI) based on the HSR, as an indicator of overall diet quality, with all-cause and cardiovascular disease (CVD) mortality.

METHODS

We utilized data from the national population-based Australian Diabetes, Obesity and Lifestyle Study. The HSR-DI at baseline (1999-2000) was constructed by 1) calculation of the HSR points for individual foods in the baseline FFQ, and 2) calculation of the HSR-DI for each participant based on pooled HSR points across foods, weighted by the proportion of energy contributed by each food. Vital status was ascertained by linkage to the Australian National Death Index. Associations of HSR-DI with mortality risk were assessed by Cox proportional hazards regression.

RESULTS

Among 10,025 eligible participants [baseline age: 51.6 ± 14.3 y (mean ± standard deviation)] at entry, higher HSR-DI (healthier) was associated with higher consumption of healthy foods such as fruits, vegetables, and nuts, and lower consumption of discretionary foods such as processed meats and confectionery (P-trend < 0.001 for each). During a median follow-up of 16.9 y, 1682 deaths occurred with 507 CVD deaths. In multivariable models adjusted for demographic characteristics, lifestyle factors, and medical conditions, higher HSR-DI was associated with lower risk of all-cause mortality, with a hazard ratio (95% confidence interval) of 0.80 (0.69, 0.94; P-trend < 0.001) comparing the fifth with the first HSR-DI quintile. A corresponding inverse association was observed for CVD mortality (0.71; 0.54, 0.94; P-trend = 0.008).

CONCLUSIONS

Better diet quality as defined by the HSR-DI was associated with lower risk of all-cause and CVD mortality among Australian adults. Our findings support the use of the HSR nutrient profiling algorithm as a valid tool for guiding consumer food choices.

Effects of food policy actions on Indigenous Peoples' nutrition-related outcomes: a systematic review

INTRODUCTION

Indigenous Peoples worldwide endure unacceptable health disparities with undernutrition and food insecurity often coexisting with obesity and chronic diseases. Policy-level actions are required to eliminate malnutrition in all its forms. However, there has been no systematic synthesis of the evidence of effectiveness of food and nutrition policies for Indigenous Peoples around the world. This review fills that gap.

METHODS

Eight databases were searched for peer-reviewed literature, published between 2000 and 2019. Relevant websites were searched for grey literature. Articles were included if they were original studies, published in English and included data from Indigenous Peoples from Western colonised countries, evaluated a food or nutrition policy (or intervention), and provided quantitative impact/outcome data. Study screening, data extraction and quality assessment were undertaken independently by two authors, at least one of whom was Indigenous. A narrative synthesis was undertaken with studies grouped according to the NOURISHING food policy framework.

RESULTS

We identified 78 studies from Canada, Australia, Aotearoa/New Zealand and the USA. Most studies evaluated targeted interventions, focused on rural or remote Indigenous communities. The most effective interventions combined educational strategies with policies targeting food price, composition and/or availability, particularly in retail and school environments. Interventions to reduce exposure to unhealthy food advertising was the only area of the NOURISHING framework not represented in the literature. Few studies examined the impact of universal food policies on Indigenous Peoples' diets, health or well-being.

CONCLUSION

Both targeted and universal policy action can be effective for Indigenous Peoples. Actions that modify the structures and systems governing food supply through improved availability, access and affordability of healthy foods should be prioritised. More high-quality evidence on the impact of universal food and nutrition policy actions for Indigenous Peoples is required, particularly in urban areas and in the area of food marketing.

Energy Density of New Food Products Targeted to Children

High dietary energy density (ED) is linked to childhood obesity and poor diet quality. The Australian Health Star Rating (HSR) system aims to assist consumers in making healthful food choices. This cross-sectional study used 2014-2018 data from the Mintel Global New Products Database to describe the ED of new food products targeted to children (5-12 years) released after the introduction of HSR and examine relationships between ED and HSR. Products were categorised by ED (low < 630 kJ/100 g, medium 630-950 kJ/100 g, high > 950 kJ/100 g) and HSR (no, HSR < 2.5 low, HSR ≥ 2.5 high). Non-parametric statistics were used to examine ED and HSR. A total of 548 products targeted children: 21% low, 5% medium, 74% high ED. One hundred products displayed an HSR: 24% low, 76% high; 53 products with both high HSR and ED. The EDs of products differed by HSR (p < 0.05), but both group's medians (HSR < 2.5: 1850 kJ/100 g, HSR ≥ 2.5: 1507 kJ/100 g) were high. A high proportion of new products had a high ED, and the HSR of these foods did not consistently discriminate between ED levels, particularly for high ED foods. Policies to promote lower ED foods and better alignment between ED and HSR may improve childhood obesity and diet quality.

An Experimental Comparison of the Impact of 'Warning' and 'Health Star Rating' FoP Labels on Adolescents' Choice of Breakfast Cereals in New Zealand

This research investigated the performance of the red, octagonal Vienna Convention traffic ‘STOP’ sign as a front of pack (FoP) warning nutritional label. While the Vienna Convention traffic light system is an established FoP label, the potential of the ‘STOP’ sign in the role has not been investigated. The performance of the ‘STOP’ label was compared with that of a single star (low nutritional value) Australasian Health Star Rating (HSR) label using a fractionally replicated Latin square design. The labels were presented on choice diads of cold breakfast cereal packets. The sample of 240 adolescents aged 16–18 was drawn from a secondary school in the South Island of New Zealand. A large and significant main effect was observed at the p < 0.01 level for the difference between the ’STOP’ sign and the control condition (no nutritional FoP label), and at p < 0.05 for the difference between the HSR and the ‘STOP’ label. There was no significant difference between the HSR FoP and the control condition. A significant non-additivity (interaction) (p < 0.01) was also observed via the fractional replication. The results indicate that the Vienna Convention ‘STOP’ sign is worthy of further research with regard to its potential as an FoP nutritional label.

Prevalence of Product Claims and Marketing Buzzwords Found on Health Food Snack Products Does Not Relate to Nutrient Profile

Growth in the consumer health and wellness industry has led to an increase of packaged foods marketed as health food (HF) products. In consequence, a ‘health halo’ around packaged HF has arisen that influences consumers at point-of-purchase. This study compared product claims (nutrient content claims (NCC), health claims and marketing ‘buzzwords’) displayed on packaged HF snack products sold in HF stores and HF aisles in supermarkets to equivalent products sold in regular aisles (RA) of supermarkets. Product Health Star Rating (HSR), nutrient profile and price were also compared. Data were collected for 2361 products from three supermarket chains, two HF chains and one independent HF store in Sydney, Australia. Mann-Whitney U tests compared the product claims, HSR, nutrient composition and unit ($) price. HF snacks displayed significantly more product claims per product compared to RA foods (HSR ≤ 2.5), median (IQR) 5.0(4.0) versus 1.0(2) and (HSR > 2.5) 4.0(4.0) versus 3.0(4), respectively (p < 0.001). A significantly different HSR was evident between HF and RA snack products, median 2.5(0) versus 2.0(1.5), respectively (p < 0.001). HF snacks cost significantly more than RA snack foods, irrespective of product HSR (p < 0.001). These findings support the recommendation for revised labelling regulations and increased education regarding consumers food label interpretation.

The nutritional quality of supermarket own brand chilled convenience foods: an Australian cross-sectional study reveals limitations of the Health Star Rating

OBJECTIVE

To assess the nutritional quality of Australian supermarket own brand chilled convenience foods (SOBCCF), for example, ready meals, pizza, pies and desserts.

DESIGN

Cross-sectional.

SETTING

Two large supermarkets (Coles and Woolworths) in Perth, Western Australia were audited in February 2017.

PARTICIPANTS

Data were extracted from photographic images of 291 SOBCCF, including front-of-pack information (i.e. product name, description and nutrition labels including Health Star Rating (HSR)) and back-of-pack information (i.e. nutrition information panel and ingredients list). SOBCCF were classified as healthy or unhealthy consistent with principles of the Australian Guide to Healthy Eating (AGTHE), NOVA classification of level of food processing and HSR score.

RESULTS

Fifty-four percentage of SOBCCF were classified as unhealthy according to AGTHE principles, 94 % were ultra-processed foods using NOVA and 81 % scored a HSR of ≥2·5, implying that they were a healthy choice. Some convenience food groups comprised more healthy choices overall including prepared vegetables, salad kits and bowls, soups and vegetarian food. A significantly larger proportion of SOBCCF from Coles were classified as unhealthy compared with Woolworths (70 v. 44 %, P < 0·05) using the AGTHE.

CONCLUSIONS

The findings suggest there is potential for Australian supermarkets to improve the nutritional quality of their SOBCCF and highlights the differences between supermarkets in applying their corporate social responsibility policies. Policies to assist consumers to select healthier foods should address difficulties in identifying healthy convenience foods. The findings reveal misclassification of unhealthy SOBCCF as healthy by the HSR suggesting that its algorithm should be reformed to align with recommendations of the AGTHE.

Evaluating Nutrient-Based Indices against Food- and Diet-Based Indices to Assess the Health Potential of Foods: How Does the Australian Health Star Rating System Perform after Five Years?

Nutrient-based indices are commonly used to assess the health potential of individual foods for nutrition policy actions. This study aimed to evaluate the nutrient profile-informed Australian Health Star Rating (HSR), against NOVA and an index informed by the Australian Dietary Guidelines (ADGs), to determine the extent of alignment. All products displaying an HSR label in the Australian marketplace between June 2014 and June 2019 were extracted from the Mintel Global New Product Database, and classified into one of four NOVA categories, and either as an ADG five food group (FFG) food or discretionary food. Of 4451 products analysed, 76.5% were ultra-processed (UP) and 43% were discretionary. The median HSR of non-UP foods (4) was significantly higher than UP foods (3.5) (p < 0.01), and the median HSR of FFG foods (4) was significantly higher than discretionary foods (2.5) (p < 0.01). However, 73% of UP foods, and 52.8% of discretionary foods displayed an HSR ≥ 2.5. Results indicate the currently implemented HSR system is inadvertently providing a ‘health halo’ for almost ¾ of UP foods and ½ of discretionary foods displaying an HSR. Future research should investigate whether the HSR scheme can be reformed to avoid misalignment with food-and diet-based indices.

A comparison of the nutritional quality of products offered by the top packaged food and beverage companies in Canada

BACKGROUND

Canada's food supply is abundant in less healthy products, increasing Canadians' risk of obesity and non-communicable diseases. Food companies strongly influence the food supply; however, no studies have examined differences in the healthfulness of products offered by various companies in Canada. This study aimed to compare the nutritional quality of products offered by the top packaged food and beverage companies in Canada.

METHODS

Twenty-two top packaged food and beverage manufacturing companies were selected, representing > 50% of the Canadian market share in 2018. Nutritional information for products (n = 8277) was sourced from the University of Toronto Food Label Information Program 2017 database. Descriptive analyses examined the nutritional quality of products based on: 1) the Health Star Rating (HSR) system; 2) calories, sodium, saturated fat and total sugars per 100 g (or mL) and per reference amounts (RAs) defined by Health Canada; and 3) "high in" thresholds for sodium, saturated fat and total sugars proposed by Health Canada for pending front-of-package labelling regulations. Kruskal-Wallis tests compared HSRs of products between companies.

RESULTS

Mean HSRs of companies' total product offerings ranged from 1.9 to 3.6 (out of 5.0). Differences in HSRs of products between companies were significant overall and for 19 of 22 food categories (P < 0.05), particularly for fats/oils and beverages. Calories, sodium, saturated fat and total sugars contents varied widely between companies for several food categories, and depending on whether they were examined per 100 g (or mL) or RA. Additionally, 66.4% of all products exceeded ≥1 of Health Canada's "high in" thresholds for sodium (31.7%), saturated fat (28.3%) and/or sugars (28.4%). The proportion of products offered by a company that exceeded at least one of these thresholds ranged from 38.5 to 97.5%.

CONCLUSIONS

The nutritional quality of products offered by leading packaged food and beverage manufacturers in Canada differs significantly overall and by food category, with many products considered less healthy according to multiple nutrient profiling methods. Variation within food categories illustrates the need and potential for companies to improve the healthfulness of their products. Identifying companies that offer less healthy products compared with others in Canada may help prompt reformulation.

A proposed nutrient density score that includes food groups and nutrients to better align with dietary guidance

Current research on diets and health focuses on composite food patterns and their likely impact on health outcomes. The Dietary Guidelines for Americans (DGA) have likewise adopted a more food group–based approach. By contrast, most nutrient profiling (NP) models continue to assess nutrient density of individual foods, based on a small number of individual nutrients. Nutrients to encourage have included protein, fiber, and a wide range of vitamins and minerals. Nutrients to limit are typically saturated fats, total or added sugars, and sodium. Because current NP models may not fully capture the healthfulness of foods, there is a case for advancing a hybrid NP approach that takes both nutrients and desirable food groups and food ingredients into account. Creating a nutrient- and food-based NP model may provide a more integrated way of assessing a food’s nutrient density. Hybrid nutrient density scores will provide for a better alignment between NP models and the DGA, a chief instrument of food and nutrition policy in the United States. Such synergy may lead ultimately to improved dietary guidance, sound nutrition policy, and better public health.

Dairy and Fruit Listed as Main Ingredients Improve NRF8.3 Nutrient Density Scores of Children's Snacks

Background: The US Food and Drug Administration has modified its regulations on nutrient content claims by considering healthy dietary ingredients as well as nutrients. Objective: To assess the relation between dairy and fruit as main ingredients in children's snacks and the Nutrient Rich Food (NRF8.3) nutrient density score. Methods: Commonly consumed children's snacks in the United States, Canada, France, and the United Kingdom (n = 261) were assigned into USDA What We Eat in America (WWEI) categories. Nutrient composition data came from industry websites, open-source government databases (USDA Standard Reference SR28; CIQUAL), and back-of-pack food labels. Nutrient density was calculated using the Nutrient Rich Food Index NRF8.3. Snacks with dairy or fruit as the first listed ingredient (n = 115) were compared to those that listed neither (n = 146). Snacks that contained fruits-vegetables-nuts (FVN) (n = 88) were compared to those that did not (n = 173). Results: NRF8.3 scores were higher for snacks listing dairy or fruit as main ingredients. Dairy or fruit when listed as the first ingredient were associated with higher percent daily values of protein, fiber, calcium, vitamin A, vitamin C, and vitamin D, lower saturated fat content and a 30-point increment in NRF8.3 scores. The presence of FVN was associated with a 22-point increment in NRF8.3 scores. Conclusion: The correspondence between back-of-pack food ingredients and the nutrient based NRF8.3 scores suggests that ingredients can also be used to communicate the nutritional value of foods to the consumer. Dairy and fruit, when listed as first ingredients, were an important component of the NRF8.3 nutrient density score.

Stars versus warnings: Comparison of the Australasian Health Star Rating nutrition labelling system with Chilean Warning Labels

OBJECTIVE

The Health Star Rating (HSR) is a voluntary front-of-pack nutrition labelling system that rates products from ½ to 5 stars (five being healthiest). The Chilean Warning Label system displays warnings on foods high in sugar, saturated fat, sodium, or energy. We aimed to evaluate alignment between the systems.

METHODS

New Zealand packaged products (n=13,868) were classified according to the two systems. Alignment was assessed by cross-checking the number of products meeting the criteria for warnings against star ratings. Products with no warnings but an HSR <2, or with >1 warning but an HSR of ≥3.5 were considered outliers.

RESULTS

Two-thirds of products met the criteria for at least one warning. There was a significant positive relationship between the number of warnings and mean HSR: 0 warnings = HSR 3.77±.0166 (p<0.001), 1 warning = HSR 2.70±.0206 (p<0.001) and >1 warning = HSR 2.00±.0160 (p<0.001). The systems were non-aligned for 1,117 products (8%).

CONCLUSION

HSR and the Chilean Warning Label systems are broadly aligned. Non-alignment is due to the Chilean system restricting warnings to foods containing added ingredients and HSR awarding points for positive components. Implications for public health: These results could be helpful in informing improvements to the HSR system.

Ultra-processed foods and recommended intake levels of nutrients linked to non-communicable diseases in Australia: evidence from a nationally representative cross-sectional study

OBJECTIVE

This study aimed to describe the consumption of ultra-processed foods in Australia and its association with the intake of nutrients linked to non-communicable diseases (NCDs).

DESIGN

Cross-sectional study.

SETTING

National Nutrition and Physical Activity Survey (2011-2012).

PARTICIPANTS

12,153 participants aged 2+ years.

MAIN OUTCOME MEASURES

Average dietary content of nutrients linked to NCDs and the prevalence of intake outside levels recommended for the prevention of NCDs.

DATA ANALYSIS

Food items were classified according to the NOVA system, a classification based on the nature, extent and purpose of industrial food processing. The contribution of each NOVA food group and their subgroups to total energy intake was calculated. Mean nutrient content of ultra-processed food and non-ultra-processed food fractions of the diet were compared. Across quintiles of the energy contribution of ultra-processed foods, differences in the intake of nutrients linked to NCDs as well as in the prevalence of intakes outside levels recommended for the prevention of NCDs were examined.

RESULTS

Ultra-processed foods had the highest dietary contribution (42.0% of energy intake), followed by unprocessed or minimally processed foods (35.4%), processed foods (15.8%) and processed culinary ingredients (6.8%). A positive and statistically significant linear trend was found between quintiles of ultra-processed food consumption and intake levels of free sugars (standardised β 0.43, p<0.001); total (β 0.08, p<0.001), saturated (β 0.18, p<0.001) and trans fats (β 0.10, p<0.001); sodium (β 0.21, p<0.001) and diet energy density (β 0.41, p<0.001), while an inverse relationship was observed for dietary fibre (β -0.21, p<0.001) and potassium (β -0.27, p<0.001). The prevalence of non-recommended intake levels of all studied nutrients increased linearly across quintiles of ultra-processed food intake, notably from 22% to 82% for free sugars, from 6% to 11% for trans fat and from 2% to 25% for dietary energy density, from the lowest to the highest ultra-processed food quintile.

CONCLUSION

The high energy contribution of ultra-processed foods impacted negatively on the intake of non-ultra-processed foods and on all nutrients linked to NCDs in Australia. Decreasing the dietary share of ultra-processed foods would substantially improve the diet quality in the country and help the population achieve recommendations on critical nutrients linked to NCDs.

Consumers' Perceptions of Five Front-of-Package Nutrition Labels: An Experimental Study Across 12 Countries

Consumers’ perceptions of five front-of-pack nutrition label formats (health star rating (HSR), multiple traffic lights (MTL), Nutri-Score, reference intakes (RI) and warning label) were assessed across 12 countries (Argentina, Australia, Bulgaria, Canada, Denmark, France, Germany, Mexico, Singapore, Spain, the UK and the USA). Perceptions assessed included liking, trust, comprehensibility, salience and desire for the label to be mandatory. A sample of 12,015 respondents completed an online survey in which they rated one of the five (randomly allocated) front-of-pack labels (FoPLs) along the perception dimensions described above. Respondents viewing the MTL provided the most favourable ratings. Perceptions of the other FoPLs were mixed or neutral. No meaningful or consistent patterns were observed in the interactions between country and FoPL type, indicating that culture was not a strong predictor of general perceptions. The overall ranking of the FoPLs differed somewhat from previous research assessing their objective performance in terms of enhancing understanding of product healthiness, in which the Nutri-Score was the clear front-runner. Respondents showed a strong preference for mandatory labelling, regardless of label condition, which is consistent with past research showing that the application of labels across all products leads to healthier choices.

Development of Australia's front-of-pack interpretative nutrition labelling Health Star Rating system: lessons for public health advocates

OBJECTIVES

To draw advocacy lessons from actions undertaken by public health groups to assist the development of Australia and New Zealand's Health Star Rating (HSR) front-of-pack nutrition labelling system.

METHODS

The advocacy approaches undertaken by the Public Health Association of Australia leading up to the time of the adoption of the HSR is examined using a 10 step advocacy framework. Key roles in advocacy planning and implementation are described, along with coordinating efforts by health and consumer groups during the HSR development processes.

RESULTS

HSR aims to support consumers to make informed choices to protect from diet-related diseases, including obesity. The HSR launched despite a number of major obstacles, owing to a strategic, coordinated advocacy effort undertaken by a guiding coalition.

CONCLUSIONS

Actions to improve nutrition are often highly contested, particularly if the desired outcome competes with commercial interests. However, by deploying a structured approach to public health advocacy it is possible to influence government despite opposition from commercial interests. Implications for public health: A shared vision and a coordinated effort by public health professionals enabled advocates to overcome undue commercial influence.

A comparison of the Health Star Rating and nutrient profiles of branded and generic food products in Sydney supermarkets, Australia

OBJECTIVE

To compare the Health Star Rating (HSR) and the nutritional profile of branded and generic packaged foods in Australia.

DESIGN

In-store audits of packaged food products capturing data on HSR and nutritional content to analyse differences between branded and generic foods across ten food categories.

SETTING

The audit was conducted in four major supermarket chains across various locations within metropolitan Sydney regions, Australia.

RESULTS

A total of 6269 products were analysed with 57 % of generic products and 28 % of branded products displaying an HSR. The median HSR of branded products was significantly greater than for generic products overall (4·0 v. 3·5, P&lt;0·005) and in six out of ten food categories (P&lt;0·005). However, when branded products could be matched to their generic counterparts for paired comparisons (n 146), no statistical difference was observed in all ten food categories. Branded products that chose to display an HSR had significantly lower saturated fat and Na, but higher fibre contents than branded products not displaying an HSR.

CONCLUSIONS

Our data show no difference in the HSR or nutrient profiles of similar branded and generic products that display HSR. Branded products appear to exploit the voluntary nature of the HSR scheme, preferentially displaying an HSR on healthier products compared with their generic counterparts.

Health Star Rating in Grain Foods-Does It Adequately Differentiate Refined and Whole Grain Foods?

The Australian front-of-pack labelling system, Health Star Rating (HSR), does not include whole grain (WG) in its algorithm, but uses dietary fibre (DF), despite Dietary Guidelines recommending WG over refined grain (RG) foods. This study aimed to determine how effectively HSR differentiates WG and RG foods. Product label data were collected 2017–18 from bread, rice, pasta, noodles, flour and breakfast cereals (n = 1127). Products not displaying HSR, DF per 100 g, and %WG ingredients were excluded, leaving a sample of 441 products; 68% were WG (≥8 g/manufacturer serving). There was a significant difference (p < 0.001) in HSR between WG bread and breakfast cereal over RG varieties, yet the mean difference in stars depicted on the pack was only 0.4 for bread and 0.7 for breakfast cereal. There was no difference for rice (p = 0.131) or flour (p = 0.376). Median HSR also poorly differentiated WG. More WG foods scored 4–5 stars compared to RG, yet there was notable overlap between 3.5–5 stars. DF content between RG and WG subcategories was significantly different, however wide variation and overlap in DF highlights that this may not be a sufficient proxy measure, raising concerns that the HSR algorithm may not adequately communicate the benefits for consumers of swapping to WG foods.

Dietary Patterns and Cardiovascular Disease: Insights and Challenges for Considering Food Groups and Nutrient Sources

PURPOSE OF REVIEW

The relationship between dietary patterns and cardiovascular disease has been the subject of much research, but an important methodological consideration is the interdependence between the nutrient composition of foods and the recognition of healthy dietary patterns. This review considers some of the challenges in researching dietary patterns with implications for translation to public health promotions.

RECENT FINDINGS

A number of statistical methods have emerged for analysing dietary patterns using population dietary data. There are limitations in the assumptions underpinning food categorisation, but this research is able to consistently identify foods and dietary patterns that are positively related to health. Aligned to this activity is the ongoing development of food composition databases which has its own limitations such as keeping up to date with changing foods and newly identified components, sampling of foods, and developments in chemical analytical methods. Finally, dietary patterns form the basis for current dietary guidelines and related public health-oriented programs, but the issues raised for research (e.g. food categorisation and cuisine influences on dietary patterns) can also translate to these settings. The study of dietary patterns in cardiovascular disease prevention presents with a number of methodological challenges relating to the way food groups are formed and the limitations of food composition databases. Added to this are new considerations for the environmental impact of recommended dietary patterns. Future research across the entire knowledge chain should target more accurate methods in a number of analytical areas.

Analysing the use of the Australian Health Star Rating system by level of food processing

BACKGROUND

The consumption of ultra-processed foods is associated with diminished dietary quality and adverse health outcomes. The Australian Health Star Rating (HSR) is a nutrient-based front-of-pack (FOP) labelling system that assesses the 'healthiness' of foods on a scale of 0.5 to 5 stars based on their content of 'risk' and 'positive' nutrients. This study aimed to analyse the use of health stars on new packaged food products entering the Australian marketplace by level of food processing.

METHODS

The Mintel Global New Product Database (GNPD) was searched to identify the number of stars displayed on the labels of all new packaged food products participating in the HSR system released into the Australian retail food supply between 27 June 2014 (the endorsement date) and 30 June 2017. Products were categorised by the four NOVA food processing categories: unprocessed and minimally processed (MP), processed culinary ingredients (PCI), processed (P), and ultra-processed (UP), and the distribution of the star ratings within each category was compared and analysed.

RESULTS

The majority of new food products displaying an HSR were UP (74.4%), followed by MP (12.5%), P (11.6%), and PCI (1.5%). The median HSR of MP products (4.5) was significantly higher than the median of P (4) and UP products (3.5) (all p < 0.05). In all NOVA categories HSR profiles were distributed towards higher star ratings, and the majority (77%) of UP products displayed an HSR ≥ 2.5.

CONCLUSIONS

The HSR is being displayed on a substantial proportion of newly released UP foods. Technical weaknesses, design flaws and governance limitations with the HSR system are resulting in 3 out of 4 instances of these UP foods displaying at least 2.5 so-called 'health' stars. These findings add further evidence to concerns that the HSR system, in its current form, is misrepresenting the healthiness of new packaged food products and creating a risk for behavioural nutrition.

Alignment of Supermarket Own Brand Foods' Front-of-Pack Nutrition Labelling with Measures of Nutritional Quality: An Australian Perspective

Two voluntary front-of-pack nutrition labels (FOPNL) are present in Australia: the government-led Health Star Ratings (HSR) and food industry-led Daily Intake Guide (DIG). Australia's two largest supermarkets are key supporters of HSR, pledging uptake on all supermarket own brand foods (SOBF). This study aimed to examine prevalence of FOPNL on SOBF, and alignment with patterns of nutritional quality. Photographic audits of all SOBF present in three large supermarkets were conducted in Perth, Western Australia, in 2017. Foods were classified as nutritious or nutrient-poor based on the Australian Guide to Healthy Eating (AGTHE), NOVA level of food processing, and HSR score. Most (81.5%) SOBF featured FOPNL, with only 55.1% displaying HSR. HSR was present on 69.2% of Coles, 54.0% of Woolworths, and none of IGA SOBF. Half (51.3%) of SOBF were classified as nutritious using the AGTHE, but using NOVA, 56.9% were ultra-processed foods. Nutrient-poor and ultra-processed SOBF were more likely than nutritious foods to include HSR, yet many of these foods achieved HSR scores of 2.5 stars or above, implying they were a healthy choice. Supermarkets have a powerful position in the Australian food system, and they could do more to support healthy food selection through responsible FOPNL.

Health Star Ratings: What's on the labels of Australian beverages?

ISSUE ADDRESSED

The Health Star Rating (HSR) System provides a useful tool to communicate health and nutrition messages to consumers. Given the large contribution from sugar-containing beverages to sugar intake in the Australian diet and the adverse health outcomes associated with frequent consumption, it is important to investigate how the HSR System is displayed on beverages. Our research measured and compared the presence of the HSR System on the labels of sugar-containing and sugar-free beverages in Australia.

METHODS

We conducted a survey of the labels on 762 ready-to-drink (≤600 mL) nondairy/nonalcoholic beverages, sampled from 17 South Australian supermarkets in late 2016. We measured the presence of a star rating icon or an energy-only icon (which is an option of the HSR System for beverages).

RESULTS

The HSR System was observed on 35.3% of beverages, with only 6.8% displaying a star rating icon and 28.5% displaying an energy-only icon. When present (n = 52), star rating icons were almost universally 5 stars (94.2%), and of these, they were predominantly displayed on 100% juices (85.7%). Almost all beverages with a star rating contained high amounts of sugar; only three sugar-free beverages displayed a star rating.

CONCLUSION

We found that there are low uptake and limited use of the HSR System on beverages. SO WHAT?: The HSR System on beverages could better achieve its objectives if the energy-only icon were removed from the graphic options, the algorithm were adjusted so that 100% juices cannot display a 5-star rating, and the System were made mandatory.

Australia's Progress in Improving Diets and Preventing Obesity: Clear Opportunities for Action

PURPOSE OF REVIEW

Australia, like other developed countries, has a high prevalence of overweight and obesity, in both adults and children. This review examines progress in food policy in Australia, particularly at a national level, around key policy domains as well as in relation to public education.

RECENT FINDINGS

Australia lacks a national nutrition strategy or an obesity prevention strategy, incorporating best practice recommendations to improve diets. Examination of current progress shows patchy implementation of key food policy initiatives and significant gaps, particularly at the federal level. In the absence of a long-term strategic approach, the response of the federal government has been ad hoc around the adoption of key policies and funding for programs to improve what Australians eat. Consensus around a platform for obesity prevention for national action, including food policy, is building from public health, academic and consumer groups.

Uptake of Australia's Health Star Rating System

In June 2014, Australia and New Zealand adopted a voluntary front-of-pack nutrition labelling scheme in the form of the Health Star Rating (HSR) system. Our aim was to assess its uptake in Australia while a formal five-year review of the system is underway. Numbers and proportions of products eligible to carry a HSR were recorded each year between 2014 and 2017 as part of an annual survey of four large Australian retail outlets. Mean HSR values were determined for products that were and were not labelled with a HSR logo, and summary data presented overall, by HSR score, by major food category, and for leading manufacturers. Results show that uptake is increasing: HSR appeared on 4348/15,767 (28%) of eligible products in 2017 and has now appeared on 7922 products since implementation. Of those products displaying a HSR logo, more than three-quarters (76.4%) displayed a HSR of ≥3.0. Products displaying a HSR logo had a higher mean HSR (3.4), compared to products not displaying a HSR logo (2.7). Uptake was highest on convenience foods (44%), cereals (36.7%), and fruit and vegetable products (35.9%). More than 100 manufacturers were using the system, but retailers Coles, Woolworths and Aldi were together responsible for 54% of uptake. For all except Coles, Woolworths and Campbell Arnott’s, the mean HSR of products displaying a logo on pack was higher than products made by that manufacturer not showing a HSR logo. We conclude that to ensure the consistent and widespread uptake required for consumers to make informed food purchases, HSR should be made mandatory at the conclusion of the five-year review.

Assessment of the Canadian Children's Food and Beverage Advertising Initiative's Uniform Nutrition Criteria for Restricting Children's Food and Beverage Marketing in Canada

Imposing governmental restrictions on the marketing of unhealthy foods and beverages to children is a demanded policy action since in Canada, this remains self-regulated by the voluntary, industry-led Canadian Children’s Food and Beverage Advertising Initiative (CAI) whose participants pledge to only advertise products that satisfy its Uniform Nutrition Criteria to children. This study evaluated the stringency of this nutrient profiling (NP) model for restricting child-directed food and beverage marketing in Canada. Data was obtained from the University of Toronto Food Label Information Program (FLIP) 2013 database, providing nutritional information for 15,342 packaged products which were evaluated using the CAI Uniform Nutrition Criteria. Products with child-directed packaging and those from CAI participating companies were identified. Of the n = 15,231 products analyzed, 25.3% would be allowed and 57.2% would be restricted from being marketed to children according to the CAI Criteria. Additionally, 17.5% of products lacked criteria by which to evaluate them. Child-directed products represented 4.9% of all products; however, 74.4% of these would be restricted from being marketed to children under CAI standards. Products from CAI participating companies represented 14.0% of all products and 33.3% of child-directed products; 69.5% of which would be restricted from being marketed to children. These results indicate that if the CAI was mandatory and covered a broader range of advertising platforms, their Uniform Nutrition Criteria would be relatively stringent and could effectively restrict children’s marketing in Canada.

Cost-Effectiveness of Product Reformulation in Response to the Health Star Rating Food Labelling System in Australia

The Health Star Rating (HSR) system is a voluntary front-of-pack labelling (FoPL) initiative endorsed by the Australian government in 2014. This study examines the impact of the HSR system on pre-packaged food reformulation measured by changes in energy density between products with and without HSR. The cost-effectiveness of the HSR system was modelled using a proportional multi-state life table Markov model for the 2010 Australian population. We evaluated scenarios in which the HSR system was implemented on a voluntary and mandatory basis (i.e., HSR uptake across 6.7% and 100% of applicable products, respectively). The main outcomes were health-adjusted life years (HALYs), net costs, and incremental cost-effectiveness ratios (ICERs). These were calculated with accompanying 95% uncertainty intervals (95% UI). The model predicted that HSR-attributable reformulation leads to small changes [corrected] in mean population energy intake (voluntary: -0.98 kJ/day; mandatory: -11.81 kJ/day). [corrected]. These are likely to result in changes in mean body weight (voluntary: -0.01 kg [95% UI: -0.012 to -0.006]; mandatory: -0.11 kg [95% UI: -0.14 to -0.07, and HALYs gained [corrected] (voluntary: 4207 HALYs gained [corrected] [95% UI: 2438 to 6081]; mandatory: 49,949 HALYs gained [95% UI: 29,291 to 72,153]). The HSR system [corrected] could be considered cost-effective relative to a willingness-to-pay threshold of A$50,000 per HALY (incremental cost effectiveness ratio for voluntary: [corrected] A$1728 per HALY [95% UI: dominant to 10,445] and mandatory: A$4752 per HALY [95% UI: dominant to 16,236]).

Defining 'Unhealthy': A Systematic Analysis of Alignment between the Australian Dietary Guidelines and the Health Star Rating System

The Australian Dietary Guidelines (ADGs) and Health Star Rating (HSR) front-of-pack labelling system are two national interventions to promote healthier diets. Our aim was to assess the degree of alignment between the two policies. Methods: Nutrition information was extracted for 65,660 packaged foods available in The George Institute’s Australian FoodSwitch database. Products were classified ‘core’ or ‘discretionary’ based on the ADGs, and a HSR generated irrespective of whether currently displayed on pack. Apparent outliers were identified as those products classified ‘core’ that received HSR ≤ 2.0; and those classified ‘discretionary’ that received HSR ≥ 3.5. Nutrient cut-offs were applied to determine whether apparent outliers were ‘high in’ salt, total sugar or saturated fat, and outlier status thereby attributed to a failure of the ADGs or HSR algorithm. Results: 47,116 products (23,460 core; 23,656 discretionary) were included. Median (Q1, Q3) HSRs were 4.0 (3.0 to 4.5) for core and 2.0 (1.0 to 3.0) for discretionary products. Overall alignment was good: 86.6% of products received a HSR aligned with their ADG classification. Among 6324 products identified as apparent outliers, 5246 (83.0%) were ultimately determined to be ADG failures, largely caused by challenges in defining foods as ‘core’ or ‘discretionary’. In total, 1078 (17.0%) were determined to be true failures of the HSR algorithm. Conclusion: The scope of genuine misalignment between the ADGs and HSR algorithm is very small. We provide evidence-informed recommendations for strengthening both policies to more effectively guide Australians towards healthier choices.

Nutritional Combined Greenhouse Gas Life Cycle Analysis for Incorporating Canadian Yellow Pea into Cereal-Based Food Products

Incorporating low cost pulses, such as yellow peas, that are rich in nutrients and low in fertilizer requirements, into daily food items, can improve the nutritional and sustainability profile of national diets. This paper systematically characterized the effect of using Canadian grown whole yellow pea and refined wheat flours on nutritional density and carbon footprint in cereal-based food products. Canada-specific production data and the levels of 27 macro- and micronutrients were used to calculate the carbon footprint and nutrient balance score (NBS), respectively, for traditional and reformulated pan bread, breakfast cereal, and pasta. Results showed that partial replacement of refined wheat flour with yellow pea flour increased the NBS of pan bread, breakfast cereal, and pasta by 11%, 70%, and 18%, and decreased the life cycle carbon footprint (kg CO₂ eq/kg) by 4%, 11%, and 13%, respectively. The cultivation stage of wheat and yellow peas, and the electricity used during the manufacturing stage of food production, were the hotspots in the life cycle. The nutritional and greenhouse gas (GHG) data were combined as the nutrition carbon footprint score (NCFS) (NBS/g CO₂ per serving), a novel indicator that reflects product-level nutritional quality per unit environmental impact. Results showed that yellow pea flour increased the NCFS by 15% for pan bread, 90% for breakfast cereal, and 35% for pasta. The results and framework of this study are relevant for food industry, consumers, as well as global and national policy-makers evaluating the effect of dietary change and food reformulation on nutritional and climate change targets.