Health Star Rating Research Articles

Defining unhealthy food for regulating marketing to children-What are Australia's options?

To compare six nutrient profiling models for suitability in food marketing to children regulation. Products (n=220) advertised at transport hubs were classified as eligible/ineligible to be advertised to children using an Australian government developed guide (Council of Australian Governments), the Health Star Rating system before and after the modifications made in 2020, World Health Organization Western Pacific Region and Europe nutrient profile criterion and the NOVA food classification system. Agreement between models was determined using Cohen's Kappa. The Council of Australian Governments' guide was able to classify more products than the other models (n=210) and was easy to use as it did not require nutrition information. It agreed most closely with NOVA (moderate agreement). The proportion of foods classified as eligible to be marketed (most strict) was lowest for NOVA (10%), similar for Council of Australian Governments and the World Health Organisation models (16%-17%) and highest for Health Star Rating models (26%-28%). The Council of Australian Governments' guide provides simple, easy to use profiling criteria aligned with Australian dietary advice. Political will is now required to incorporate a profiling model within government-endorsed food marketing regulation.

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.

The role of colour and summary indicators in influencing front-of-pack food label effectiveness across seven countries.

Many countries are considering the implementation of front-of-pack nutrition labels as a strategy to address high and increasing levels of overweight and obesity. A growing body of work demonstrates the superiority of labels that use colour and/or provide a summary indicator of product healthiness to enhance comprehension. However, previous studies have been confounded in determining the relative effectiveness of these two attributes by comparing labels that also differ in other ways. The present study tested labels that varied only on use of colour and/or reliance on a summary indicator across an international sample to provide unique insights into the relative importance of these attributes. Participants were randomised to see one of four variations of the Health Star Rating label that differed on the basis of use of colour and sole provision of a summary indicator. Australia, Canada, China, India, New Zealand, the UK and the USA. Adults (n 7545) in seven countries were exposed to online choice tasks requiring them to select a preferred breakfast cereal and then nominate the healthiest cereal. Overall, the coloured versions, and particularly the one with just a summary indicator, outperformed the monochrome version that included nutrient-specific information. However, there were some differences by country, with results from Canada and China indicating superior outcomes for monochrome labels and those providing nutrient-specific information. The results highlight the importance of colour, but suggest that the introduction of front-of-pack nutrition labels should be preceded by country-specific formative testing to identify potential differences in outcomes.

The impact of voluntary front-of-pack nutrition labelling on packaged food reformulation: A difference-in-differences analysis of the Australasian Health Star Rating scheme.

Front-of-pack nutrition labelling (FoPL) of packaged foods can promote healthier diets. Australia and New Zealand (NZ) adopted the voluntary Health Star Rating (HSR) scheme in 2014. We studied the impact of voluntary adoption of HSR on food reformulation relative to unlabelled foods and examined differential impacts for more-versus-less healthy foods. Annual nutrition information panel data were collected for nonseasonal packaged foods sold in major supermarkets in Auckland from 2013 to 2019 and in Sydney from 2014 to 2018. The analysis sample covered 58,905 unique products over 14 major food groups. We used a difference-in-differences design to estimate reformulation associated with HSR adoption. Healthier products adopted HSR more than unhealthy products: >35% of products that achieved 4 or more stars displayed the label compared to <15% of products that achieved 2 stars or less. Products that adopted HSR were 6.5% and 10.7% more likely to increase their rating by ≥0.5 stars in Australia and NZ, respectively. Labelled products showed a -4.0% [95% confidence interval (CI): -6.4% to -1.7%, p = 0.001] relative decline in sodium content in NZ, and there was a -1.4% [95% CI: -2.7% to -0.0%, p = 0.045] sodium change in Australia. HSR adoption was associated with a -2.3% [-3.7% to -0.9%, p = 0.001] change in sugar content in NZ and a statistically insignificant -1.1% [-2.3% to 0.1%, p = 0.061] difference in Australia. Initially unhealthy products showed larger reformulation effects when adopting HSR than healthier products. No evidence of a change in protein or saturated fat content was observed. A limitation of our study is that results are not sales weighted. Thus, it is not able to assess changes in overall nutrient consumption that occur because of HSR-caused reformulation. Also, participation into labelling and reformulation is jointly determined by producers in this observational study, impacting its generalisability to settings with mandatory labelling. In this study, we observed that reformulation changes following voluntary HSR labelling are small, but greater for initially unhealthy products. Initially unhealthy foods were, however, less likely to adopt HSR. Our results, therefore, suggest that mandatory labelling has the greatest potential for improving the healthiness of packaged foods.

Objective understanding of the Nutri-score front-of-pack label by European consumers and its effect on food choices: an online experimental study

BackgroundThe effectiveness of Front-of-Pack nutrition Labels (FoPLs) may be influenced by national context. In light of the ongoing efforts to harmonize FoPLs across Europe, this study aimed to compare the effectiveness of five FoPLs (Health Star Rating system, Multiple Traffic Lights, Nutri-Score, Reference Intakes, Warning symbols) on consumer understanding and food choice in 12 European countries.MethodsIn 2018–2019, for three food categories, approximately 1000 participants per country were asked to select which food they would prefer to purchase between three products with distinct nutritional quality profiles, and then to rank the products by nutritional quality. Participants (N = 12,391 in total) completed these tasks first with no FoPL and then, after randomization to one of the five FoPLs, with a FoPL on the food packages. Associations between FoPLs and change in (i) nutritional quality of food choices and (ii) ability to correctly rank the products by nutritional quality were assessed with logistic regression models adjusted for sociodemographic and lifestyle characteristics of participants, conducted overall and by country.FindingsCompared with the Reference Intakes, the Nutri-Score (OR = 3.23[2.75–3.81]; p < 0.0001), followed by the Multiple Traffic Lights (OR = 1.68[1.42–1.98]; p < 0.0001), was the most effective FoPL in helping consumers identify the foods’ nutritional quality, overall and in each of the 12 countries. Differences between FoPLs regarding food choice modifications were smaller, but the effect of the Nutri-Score seemed slightly higher in eliciting healthier food choices overall compared with the Reference Intakes, followed by the Warning symbols, the Multiple Traffic Lights and the Health Star Rating system.InterpretationIn the context of FoPL harmonization in Europe, these findings from an online experiment provide insights into the Nutri-Score’s effectiveness on European consumers.

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

ABSTRACTBackgroundThe Health Star Rating (HSR) is the government-endorsed front-of-pack labeling system in Australia and New Zealand.ObjectivesWe 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.MethodsWe 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.ResultsAmong 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).ConclusionsBetter 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.

The efficacy of 'high in' warning labels, health star and traffic light front-of-package labelling: an online randomised control trial.

To examine the impact of front-of-package (FOP) labels on perceived healthfulness, purchasing intentions and understanding of common FOP systems. A parallel, open-label design randomised participants to different FOP labelling conditions: 'high in' warning labels (WL), multiple traffic light labelling (TLL), health star ratings (HSR) (all displayed per serving) or control with no interpretive FOP labelling. Participants completed a brief educational session via a smartphone application and two experimental tasks. In Task 1, participants viewed healthy or unhealthy versions of four products and rated healthiness and purchasing intention on a seven-point Likert-type scale. In Task 2, participants ranked three sets of five products from healthiest to least healthy. Online commercial panel. Canadian residents ≥ 18 years who were involved in household grocery shopping, owned a smartphone and met minimum screen requirements. Data from 1997 participants (n 500/condition) were analysed. Task 1: across most product categories, the TLL and HSR increased perceived healthiness of healthier products. All FOP systems decreased perceived healthiness of less healthy products. Similar, albeit dampened, effects were seen regarding purchasing intentions. Task 2: participants performed best in the HSR, followed by the TLL, WL and control conditions. Lower health literacy was associated with higher perceived healthiness and purchasing intentions and poorer ranking task performance across all conditions. All FOP labelling systems, after a brief educational session, improved task performance across a wide spectrum of foods. This effect differed depending on the nutritional quality of the products and the information communicated on labels.Trial Registration: NCT03290118.

Prospective associations of the original Food Standards Agency nutrient profiling system and three variants with weight gain, overweight and obesity risk: results from the French NutriNet-Santé cohort

Nutrient profiling systems (NPS) are used to classify foods according to their nutritional composition. However, investigating their prospective associations with health is key to their validation. The study investigated the associations of the original Food Standards Agency (FSA)-NPS and three variants (Food Standards Australia New Zealand Nutrient Profiling Scoring Criterion (NPSC), Health Star Rating NPS and the French High Council of Public Health NPS (HCSP-NPS)), with weight status. Individual dietary indices based on each NPS at the food level were computed to characterise the dietary quality of 71403 French individuals from the NutriNet-Santé cohort. Associations of these indices with weight gain were assessed using mixed models and with overweight and obesity risks using Cox models. Participants with a higher dietary index (reflecting lower diet nutritional quality) were more likely to have a significant increase in BMI over time (β-coefficients positive) and an increased risk of overweight (hazard ratio (HR) T3 v. T1 = 1·27 (95 % CI 1·17, 1·37)) for the HCSP-Dietary Index, followed by the original FSA-Dietary Index (HR T3 v. T1 = 1·18 (95 % CI 1·09, 1·28)), the NPSC-Dietary Index (HR T3 v. T1 = 1·14 (95 % CI 1·06, 1·24)) and the Health Star Rating-Dietary Index (HR T3 v. T1 = 1·12 (95 % CI 1·04, 1·21)). Whilst differences were small, the HCSP-Dietary Index appeared to show significantly greater association with overweight risk. Overall, these results show the validity of NPS derived from the FSA-NPS, supporting their use in public policies for chronic disease prevention.

Prospective associations of four nutrient profiles with weigh gain, overweight and obesity risk

Abstract Background Nutrient Profiling Systems (NPSs), including the UK Food Standards Agency NPS and its variants are used to classify foods according to their nutritional composition for nutrition policies. The prospective validity of these NPSs requires however further investigation. The study investigates the associations of the original Food Standards Agency (FSA)-NPS and three variants - the Food Standards Australia New Zealand Nutrient Profiling Scoring Criterion (NPSC), the Health Star Rating (HSR) system NPS and the French NPS (HCSP-NPS) -, which are used as a basis for nutrition policies, with weight status. Methods Dietary indices based on each of the four investigated NPSs applied at the food level were computed at the individual level to characterize the diet quality of 71,178 French individuals from the NutriNet-Santé cohort. Associations of these Dietary Indices (DIs) (as tertiles) with weight gain were assessed using multivariable mixed models, and with overweight and obesity risks using multivariable Cox models. Results For the four NPSs, participants with a lower diet nutritional quality were more likely to have an increase in body mass index over time (median follow-up of 3.14 ± 2.76 years, beta coefficients positive, all p ≤ 0.0001), and an increased risk of overweight (HRT3vs.T1=1.27 [1.17-1.37] for the HCSP-DI, followed by the original FSA-DI with HRT3vs.T1=1.18 [1.09-1.28], the NPSC-DI with HRT3vs.T1=1.14 [1.06-1.24] and the HSR-DI, HRT3vs.T1=1.12 [1.04-1.21]). Whilst differences were small, the HCSP-DI appeared to show significantly greater association with risk of overweight compared to other NPS. Conclusions Less healthy diets defined using the Food Standards Agency-NPS and related systems were all associated with weight gain and overweight risk. Demonstrating this association with health outcomes is an important indicator of one validity dimension of NPSs and supports their use in public policies for the prevention of diet-related chronic diseases. Key messages Nutrient profile models of foods and beverages allow capturing the nutritional quality of diets and are prospectively associated with weight gain and obesity. The French NPS which underpins the front-of-pack Nutri-Score appeared to have a small but significant higher performance.

Objective understanding of the front-of-pack nutrition label Nutri-Score by European consumers

Abstract Background The effectiveness of Front-of-Pack nutrition Labels (FoPL) may be influenced by national context. In light of the ongoing efforts to harmonize nutrition labelling across Europe, the study aimed to compare the effectiveness of five FoPLs (Health Star Rating system [HSR], Multiple Traffic Lights [MTL], Nutri-Score, Reference Intakes [RIs], Warning symbol) in 12 European consumers. Methods In 2018-2019, for three food categories, approximately 1,000 participants per country were asked to select which food they would prefer to purchase between three products with distinct nutritional quality, and then to rank the products nutritional quality. Participants completed these tasks first with no FoPL and then, after randomization to one of the five FoPLs, with a FoPL on food packages. Associations between FoPLs and change in (i) nutritional quality of food choices, and (ii) ability to correctly rank the products nutritional quality were assessed with multivariable logistic regression models. Results Compared with the RIs, the Nutri-Score (OR = 3·23[2·75-3·81]; p &amp;lt; 0.0001), followed by the MTL (OR = 1·68[1·42-1·98]; p &amp;lt; 0.0001), was the most effective FoPL in helping participants identify the foods nutritional quality, overall and in each of the 12 countries. Differences between FoPLs regarding food choice modifications were smaller, but the effect of the Nutri-Score was slightly higher in eliciting healthier food choices overall compared with the RIs, followed by the Warning symbol, MTL and HSR. Conclusions These findings from an online experiment provide insights on the Nutri-Score's effectiveness in multiple European countries in the context of FoPL harmonization in Europe. Key messages The comparison of the effectiveness of front-of-pack labels highlighted the relative performance of various types of labels, the Nutri-Score showing a higher performance than other schemes. The higher performance of the Nutri-Score was identified for objective understanding and to a lesser extent food choices.

1.B. Workshop: Front-of-pack nutrition labelling: recent progress and remaining challenges

Abstract Front-of-pack nutrition labelling (FOPNL) is increasingly viewed as a central policy instrument in the fight against unhealthy diets, obesity, and noncommunicable diseases (NCDs), both for its direct effects on consumer behavior and for its potential to guide other effective nutrition policies (e.g. marketing restrictions, excise taxes). Major FOPNL schemes include the traffic-light system pioneered in the United Kingdom, warning labels as first introduced in Chile, the Australian Health Star Rating, and the Nutri-Score scheme developed in France. Countries that have already introduced mandatory FOPNL schemes include Chile, Israel, Peru, and Sri Lanka. Meanwhile, strong opposition from the food and beverage industry has prevented significant progress on FOPNL in many other countries. National developments have motivated several international initiatives. In 2019, the Codex Alimentarius Committee on Food Labelling began to formally negotiate guidelines for the development of FOPNL. Meanwhile, France and Australia have begun to convene a UN-supported Global Action Network on Nutrition Labelling. Understanding these national and international developments has become essential for effective public health advocacy in the field of FOPNL. The presentations in this workshop will therefore review recent key developments and identify major challenges to introducing effective FOPNL. The workshop will feature four presentations followed by an open discussion and exchange. Alexandra Jones will analyze key components of 31 existing FOPNL regulations and outline relevant best practice guidance. Tim Dorlach will explain why FOP warning labels first emerged in Chile and have subsequently diffused throughout Latin America. Chantal Julia will review the development of the Nutri-Score scheme in France and its adoption in other European countries. Anne Marie Thow will discuss how trade agreements and international standards can influence and potentially limit FOPNL schemes. Key messages Front-of-pack nutrition labelling (FOPNL) is a central policy instrument in the fight against unhealthy diets, obesity, and noncommunicable diseases (NCDs). Understanding recent national and international FOPNL developments is essential for effective public health advocacy for FOPNL and related interventions.

Impact of different front-of-pack nutrition labels on online food choices

Front-of-pack nutrition labels (FOP-NL) are efficient tools for increasing consumers' awareness of the nutritional quality of food products, prompting healthier food choices. The main goal of this study was to evaluate the impact of four FOP-NL schemes - Traffic Light label (TL), Guideline Daily Amounts (%GDA), Nutri-Score (NS) and Health Star Rating (HSR) - on consumers' selection of food products according to perceived nutritional quality. A cross-sectional open-label crossover randomized controlled study was carried out among Portuguese consumers. A web-based questionnaire was used to assess participants' a) preferences regarding FOP-NLs and b) capacity to select healthy products in a food selection task using the information from FOP-NL schemes. When performing the selection task, participants had the option to indicate that they could not decide simply based on the presented FOP-NL (requiring more information). Overall, 357 adults participated in the study. Regarding consumers' preferences, TL received the most favorable responses, while NS received the fewest. All FOP-NLs performed better than the no-nutritional label control condition in the food selection task. The highest proportion of correct choices was obtained for TL (72.3%), followed by HSR (70.9%), %GDA (70.0%) and NS (62.2%), though no significant differences were found among FOP-NLs. Percentages of respondents indicating not being able to answer due to lack of information affected the proportion of correct choices, with 10.3% for TL, 12.9% for %GDA, 14.6% for HSR, and 25.8% for NS, indicating they were unable to choose without additional information. Although no particular FOP-NL system stood out as the most significantly effective, TL was the most preferred by Portuguese adults. Long-term real-world evidence is necessary to assess the impact of FOP-NL systems on individuals’ food choices.

Effectiveness of Different Front-of-Pack Nutrition Labels among Italian Consumers: Results from an Online Randomized Controlled Trial.

In Italy, discussions are currently ongoing to implement a front-of-pack nutrition label (FoPL) while a growing number of European countries are adopting the Nutri-Score. The effectiveness of the Nutri-Score among Italian consumers requires further investigation. This study compared five FoPLs among Italian participants (Health Star Rating system, multiple traffic lights, Nutri-Score, reference intakes, warning symbol) in terms of food choices and understanding of the labels by consumers. In 2019, 1032 Italian consumers completed an online survey in which they were asked to select one product they would likely purchase from a set of three foods with different nutrient profiles and then classify the products within the set according to their nutritional quality, first with no label and then with one of the five FoPLs on the pack. While no significant difference across labels was observed for food choices, the Nutri-Score demonstrated the highest overall performance in helping consumers to correctly rank the products according to their nutritional quality compared to the reference intakes (OR = 2.18 (1.50–3.17), p-value < 0.0001). Our results provide new insights on the effectiveness of the Nutri-Score, which would be a relevant tool to inform Italian consumers on the nutritional quality of food products.

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.

Uptake of Australia's Health Star Rating System 2014-2019.

In June 2014, Australia and New Zealand adopted a voluntary front-of-pack nutrition label, the Health Star Rating (HSR) system. Our aim was to assess its uptake in Australia in the five years following adoption and examine the feasibility of proposed targets for future uptake. Numbers and proportions of products eligible to carry a HSR were recorded each year between 2014 and 2019 as part of an annual survey of four large Australian retail outlets. Uptake was projected to 2024. 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, by manufacturer and manufacturer group. Differences in mean HSR were assessed by independent samples t-test. HSR uptake continues to increase, appearing on 7118/17,477 (40.7%) of eligible products in 2019. Voluntary display of the HSR logo was increasing linearly at 6.8% annually. This would need to be maintained to reach 70% by 2024. Of those products displaying a HSR logo, more than three quarters (76.4%) had a HSR ≥ 3.0. Products displaying a HSR logo had a significantly higher mean HSR (3.4), compared to products not displaying a HSR logo (2.6) (p < 0.001). One hundred and thirty-nine manufacturers were using HSR, but retailers Coles, Woolworths and ALDI were together responsible for the majority of uptake (55.9%). Manufacturer members of the Australian Food and Grocery Council were responsible for 28.6% of uptake. Our findings illustrate the limits of commercial goodwill in applying HSR voluntarily. Ongoing implementation must pair clear targets and timelines for uptake with a firm pathway to make HSR mandatory if sufficient progress is not achieved.

Bulgarian consumers\u2019 objective understanding of front-of-package nutrition labels: a comparative, randomized study

BackgroundBulgaria continues to lag behind other EU Member States with respect to chronic disease morbidity and mortality prevention.MethodsIn line with efforts targeting the improvement of dietary practices, this comparative study assessed objective understanding of five different front-of-package labels (FOPL) (Reference Intakes, Multiple Traffic Lights, Warning label, Nutri-Score, and Health Star Rating) in a sample of 1010 Bulgarian adults. Objective understanding was assessed by comparing the results of two nutritional quality ranking tasks (with and without FOPL) in an online randomized experiment featuring three food categories (pizza, cakes, breakfast cereals). Multivariable ordinal logistic regression models within and across food categories were fit.ResultsCompared with the Reference Intakes group, participants randomized to Nutri-Score exhibited the largest improvement in product ranking ability across food categories (OR = 2.33; 95% CI: 1.55–3.51), followed by those randomized to Health Star Rating (OR = 1.99; 95% CI: 1.32–3.00). Nutri-Score also performed best within two (pizza and breakfast cereals) of the three food categories. The Multiple Traffic Lights and Warning label groups did not display any significant improvement in objective understanding either within or across food categories compared with the Reference Intakes group.ConclusionNutri-Score, which is a summary, interpretive, polychromatic FOPL, emerged as the most effective model in the Bulgarian context, with the potential to help consumers better understand the nutritional quality of food. The findings are of particular interest to public health policymakers in the region and across Europe, as the debate about an EU-wide FOPL model continues to gather momentum.Trial registrationRegistration number ACTRN12618001221246. Trial registered at the Australian New Zealand Clinical Trials Registry.

The Effects of a Supermarket-Based Intervention on the Nutritional Quality of Private-Label Foods: A Prospective Study.

Private-label products, products owned by supermarkets, are a growing area of the food supply. The aim of this study was to assess the effect of an intervention that provided an Australian supermarket (‘intervention supermarket’) with comparative nutrition data to improve the healthiness of their private-label range. Between 2015 and 2016, the intervention supermarket received reports that ranked the nutritional quality of their products against competitors. Changes in the nutrient content (sodium, sugar, saturated fat, energy and Health Star Rating) of products from the intervention supermarket between 2015 and 2018 were compared against changes achieved for three comparators (private-label products from two other supermarkets and branded products). The intervention supermarket achieved a significantly greater reduction in the sodium content of their products relative to all three comparators, which ranged between −104 and −52 mg/100 g (all p < 0.05). Conversely, the three comparators each achieved a greater relative reduction in the sugar content of their products by between −3.5 and −1.6 g/100 g (all p < 0.05). One of the comparators also had a greater relative reduction in the saturated fat and energy content of their products compared to the intervention supermarket (both p < 0.05). There were negligible differences in the Health Star Rating of products between the intervention supermarket and comparators (all p > 0.05). Providing comparative nutrition information to a supermarket may be ineffective in improving the healthiness of their private-label products, likely due to competing factors that play a role in the decision-making process behind product reformulation and product discontinuation/innovation.

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.

To assess the nutritional quality of Australian supermarket own brand chilled convenience foods (SOBCCF), for example, ready meals, pizza, pies and desserts. Cross-sectional. Two large supermarkets (Coles and Woolworths) in Perth, Western Australia were audited in February 2017. 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. 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. 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.