Extent of alignment between the Australian Dietary Guidelines and the NOVA classification system across the Australian packaged food supply.

AIMS: The Australian Dietary Guidelines are currently being revised and ultra-processed foods have been identified as a high priority action area. To better understand how well the current Dietary Guidelines align with level of processing classifications, the aim of this study was to assess the alignment between the Australian Dietary Guidelines and the NOVA classification system for classifying the healthiness of packaged foods. METHODS: Data were sourced from the Australian FoodSwitch dataset, which included 28 071 packaged food and beverage products available in major Australian supermarkets in 2022. Products were classified as (i) core or discretionary (Australian Dietary Guidelines) and (ii) non-ultra-processed or ultra-processed (NOVA). Agreement between the two systems (core vs. non-ultra-processed and discretionary vs. ultra-processed) was evaluated using the kappa statistic. RESULTS: There was 'moderate' agreement (κ = 0.41, 95% CI: 0.40-0.42) between the Australian Dietary Guidelines and the NOVA system, with 69.8% of products aligned across the two systems. Alignment was more common for discretionary foods (80.6% were ultra-processed) than core foods (59.9% aligned were not-ultra-processed). Food categories exhibiting the strongest levels of alignment included confectionary, foods for specific dietary use, and egg and egg products. Discordance was most common for convenience foods, sugars, honey and related products, and cereal and grain products. CONCLUSIONS: Despite moderate alignment between the Australian Dietary Guidelines and NOVA, the discordance observed for almost one-third of products highlights the opportunity to develop recommendations for ultra-processed foods within the guidelines to advise Australians how these foods should be considered as part of a healthy diet.

Assessing the Policy Implications of Different Definitions for Added Sugars: An Analysis Across the Australian Packaged Food and Beverage Supply.

Background: In recent years, various definitions of "added sugars" have emerged across jurisdictions. Although it is clear how these definitions differ, there is limited understanding of the policy implications associated with these variations. Objective: To test the potential policy implications of different definitions of "added sugars" on the Australian packaged food supply, we developed a method to estimate the content of "added sugars" in packaged foods and applied this to 3 different definitions of "added sugars": (i) United States Food and Drug Administration (US FDA) added sugar definition, (ii) the World Health Organization (WHO) free sugar definition, and (iii) a comprehensive definition that was developed from a review of the evidence on "added sugars." Methods: Using a representative sample of 25,323 Australian packaged foods, the "added sugar" content and proportion of products that contain "added sugar" under the 3 definitions were estimated. In addition, a comparative analysis exploring the impact of the US FDA definition (least comprehensive) vs. the comprehensive definition was conducted to understand potential implications of adopting different regulatory definitions in Australia. Results: The US FDA definition identified the lowest number and proportion of products with any "added sugars" at 14,380 products (representing 56.8% of all products), followed by the WHO free sugar definition at 15,168 products (59.9%) and the comprehensive definition at 16,260 products (64.2%). The mean estimates for "added sugars" were 8.5 g/100 g, 8.7 g/100 g, and 9.6 g/100 g for the US FDA, WHO, and comprehensive definitions, respectively. Compared with the US FDA definition, the comprehensive definition captured an additional 7.4% of products, largely driven by nonalcoholic beverages, special foods and fruit, vegetables, nuts, and legumes. Conclusions: Despite small variations in different "added sugars" definitions, their application has some significant policy implications. Findings highlight the importance of applying a comprehensive regulatory definition that adequately captures all sugars that have been linked to poor health.

Comparing product healthiness according to the Health Star Rating and the NOVA classification system and implications for food labelling systems: An analysis of 25 486 products in Australia.

We investigated the extent of alignment between 'healthiness' defined by a food classification system that classifies foods and beverages primarily by their nutrient composition, the Health Star Rating (HSR) and a system that considers only the degree of processing of the product, the NOVA classification system. We used data for 25 486 products contained within the George Institute for Global Health's Australian 2022 FoodSwitch Dataset. Agreement between the two systems in the proportion of products classified as 'healthier' (HSR ≥3.5 or NOVA group 1-3) or 'less healthy' (HSR <3.5 or NOVA group 4) was assessed using the κ statistic. There was 'fair' agreement (κ = 0.30, 95%CI: 0.29-0.31) between both systems in the proportion of all products classified as healthier or less healthy. Approximately one-third (n = 8729) of all products were defined as 'discordant', including 34.3% (n = 5620) of NOVA group 4 products with HSR ≥3.5 (commonly convenience foods, sports/diet foods, meat alternatives, as well as products containing non-sugar sweeteners) and 34.1% (n = 3109) of NOVA group 1-3 products with HSR <3.5 (commonly single-ingredient foods such as sugars/syrups, full-fat dairy and products specially produced to contain no ultra-processed ingredients). Our analysis strengthens the evidence for the similarities and differences in product healthiness according to a nutrient-based classification system and a processing-based classification system. Although the systems' classifications align for the majority of food and beverage products, the discordance found for some product categories indicates potential for confusion if systems are deployed alongside each other within food policies.

Changes in household food grocery shopping patterns in Melbourne, Australia during COVID-19 restrictions in 2020.

OBJECTIVE: To investigate the impact of COVID-19 restrictions in Melbourne, 2020, on food grocery purchases. METHODS: Grocery purchase data for 2019 and 2020 were accessed for 1,413 Melbourne households (NielsenIQ Homescan Consumer Panel) and linked to a nutrition composition database (FoodSwitch). RESULTS: Per capita expenditure and dietary energy from groceries increased by 21.2% and 17.7%, respectively, during lockdowns, with marginally larger increases in expenditure and energy purchases from unhealthy products than healthy products (21.9% and 18.0% v 20.2% and 17.5%). The most socioeconomically disadvantaged households spent the least on but purchased the most energy from unhealthy products during lockdowns ($108 and 109MJ per capita per month), with the inverse found for the most advantaged households ($121 and 102MJ per capita per month). An increase in the overall proportion of total expenditure from unhealthy products during lockdowns was identified (+0.7%); however, there was no evidence of a difference in the proportion of energy purchased from unhealthy products. For most quintiles of household socioeconomic disadvantage/advantage, there were no statistically significant changes in the contribution of unhealthy products to total expenditure and energy purchases. CONCLUSIONS: There was no substantial deterioration in the healthiness of grocery purchases during COVID-19 lockdowns in Melbourne. However, any additional purchases of unhealthy products are a concern. Further research on other sources of foods and drinks is also required to ascertain impacts on broader dietary patterns. IMPLICATIONS FOR PUBLIC HEALTH: The increase in energy purchased may have implications for overweight and obesity as a risk factor for COVID-19 and chronic diseases. Governments and retailers may need to consider measures to encourage improved diet quality during future crises.

The Effect of Retail Food Environment Interventions on Dietary Behavior in Postsecondary Education Settings: A Systematic Review and Meta-analysis.

BACKGROUND: Postsecondary education institutions, where hundreds of millions of people work and study globally, are a key setting for retail food environment interventions. OBJECTIVE: We aimed to synthesize the evidence for the effectiveness of retail food environment interventions in improving the healthiness of dietary behavior of students and staff in postsecondary education settings. METHODS: Academic databases were searched for randomized controlled trials (RCTs) and quasi-experimental studies published until August 2023. Studies were eligible if they assessed the impact of a retail food environment intervention on healthiness of dietary behavior (purchases or consumption) in students or staff in postsecondary education settings and targeted one of the following food environment elements: placement, price, product, or promotion. Business-related outcomes (total sales, profit, or revenue) were included as secondary outcomes. Findings were synthesized in narrative form, organized by retail food environment element. Where comparable dietary outcome data were available from ≥10 interventions, findings were pooled using random effects meta-analysis. RESULTS: Of 10,126 studies initially identified, 55 (76% quasi-experimental) were included, describing 71 separate interventions (n = 49 single-element and n = 22 multi-element). Two-thirds (n = 47, 66%) of interventions (n = 32 single-element and n = 15 multi-element) demonstrated significant improvements in dietary behavior. Single-element interventions targeting placement (n = 1) and price (n = 3) improved dietary behavior. Most (n = 9/10, 90%) interventions targeting product availability or convenience (product element) improved dietary behavior, while n = 19/35 (54%) targeting promotion did. Pooled findings from 12 interventions reporting changes in energy content demonstrated a significant decrease in purchased or consumed energy (-7.9%; 95% confidence interval: -10.3%, -5.6%). Almost all interventions (n = 11/12, 92%) that evaluated the impact on business-related outcomes found either a significant increase or no change following the intervention. CONCLUSIONS: We established encouraging evidence supporting the role of retail food environment interventions in postsecondary education settings to support healthy dietary behaviors of students and staff. REGISTRY: PROSPERO (International Prospective Register of Systematic Reviews, URL: https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=295836; registration number CRD42022295836).

Protocol for a randomized controlled trial of medically tailored meals compared to usual care among individuals with type 2 diabetes in Australia.

BACKGROUND: 'Food is medicine' strategies aim to integrate food-based nutrition interventions into healthcare systems and are of growing interest to healthcare providers and policy makers. 'Medically Tailored Meals' (MTM) is one such intervention, which involves the 'prescription' by healthcare providers of subsidized, pre-prepared meals for individuals to prevent or manage chronic conditions, combined with nutrition education. OBJECTIVE: This study will test the efficacy of an MTM program in Australia among participants with type 2 diabetes (T2D) and hyperglycemia, who experience difficulties accessing and eating nutritious food. METHODS: This study will be a two-arm parallel trial (goal n = 212) with individuals randomized in a 1:1 ratio to a MTM intervention group or a control group (106 per arm). Over 26 weeks, the intervention group will be prescribed 20 MTM per fortnight and up to 3 sessions with an accredited dietitian. Controls will continue with their usual care. The primary outcome is glycated hemoglobin (HbA1c, %) and secondary outcomes include differences in blood pressure, blood lipids and weight, all measured at 26 weeks. Process and economic data will be analyzed to assess the feasibility, acceptability, scalability, and cost-effectiveness of the intervention. Recruitment commenced in the first quarter of 2023, with analyses and results anticipated to be available by March 2025. DISCUSSION: Few randomized controlled trials have assessed the impact of MTM on clinical outcomes. This Australian-first trial will generate robust data to inform the case for sustained, large-scale implementation of MTM to improve the management of T2D among vulnerable populations. ANZCTR: ACTRN12622000852752. PROTOCOL VERSION: Version 1.1, July 2023.

The Nutritional Quality of Gluten-Free versus Non-Gluten-Free Pre-Packaged Foods and Beverages Sold in Hong Kong.

INTRODUCTION: The consumption of gluten-free foods has continued to increase in recent years. Given their higher intake among individuals both with and without a medically diagnosed gluten allergy or sensitivity, it is important to understand how the nutritional quality of these foods compares against non-gluten-free foods. As such, we aimed to compare the nutritional quality of gluten-free and non-gluten-free pre-packaged foods sold in Hong Kong. METHODS: Data from 18,292 pre-packaged food and beverage items in the 2019 FoodSwitch Hong Kong database were used. These products were categorized as (1) "declared gluten-free"; (2) "gluten-free by ingredient or naturally gluten-free"; and (3) "non-gluten-free" according to information presented on the package. One-way ANOVA was used to compare the differences in the Australian Health Star Rating (HSR), energy, protein, fibre, total fat, saturated fat, trans-fat, carbohydrates, sugars, and sodium content between products in different gluten categories, overall and by major food category (e.g., bread and bakery products) and region of origin (e.g., America, Europe). RESULTS: Products declared gluten-free (mean ± SD: 2.9 ± 1.3; n = 7%) had statistically significantly higher HSR than those gluten-free by ingredient or naturally gluten-free (2.7 ± 1.4; n = 51.9%) and non-gluten-free (2.2 ± 1.4; n = 41.2%) (all pairwise comparisons p < 0.001). Overall, non-gluten-free products have higher energy, protein, saturated fat, trans-fat, free sugar and sodium, and less fibre compared with products in the other two gluten categories. Similar differences were observed across major food groups and by region of origin. CONCLUSIONS: Non-gluten-free products sold in Hong Kong were generally less healthy than gluten-free products (regardless of the presence of gluten-free declaration). Consumers should be better educated on how to identify gluten-free foods, given that many gluten-free foods do not declare this information on the label.

A Cross-Sectional Evaluation of the Food Environment at an Australian University Campus.

University food environments have a strong influence on the dietary choices of students and staff. The aim of this study was to assess the food environment at a large university in Sydney, Australia. Data were collected between March and July 2022 from 27 fixed food outlets and 24 vending machines. The healthiness of the food environment was evaluated using the Healthy Food and Drink in NSW Health Facilities for Staff and Visitors Framework ('Framework'), which assesses food environment parameters including the availability, placement, and promotion of 'Everyday' (healthy) and 'Occasional' (less healthy) products. Each parameter was evaluated overall and across each food outlet type. Across all outlets, Everyday foods and drinks made up 43.9% of all products. Only two outlets met the Framework's product availability benchmark of ≥75% Everyday foods and drinks. A total of 43 outlets (84.3%) sold sugary drinks as part of their product range. Occasional products made up 68.4%, 53.3%, and 59.9% of all items for sale at checkout areas, countertops, and eye-level shelves, respectively. Finally, 79.7% of meal deals included Occasional products. Our findings highlight the need to improve the availability, placement, and promotion of foods and drinks sold at a major university campus in Sydney, Australia.

The nutritional profile of plant-based meat analogues available for sale in Australia.

AIM: To assess the nutritional quality of plant-based meat analogues in Australia, compared to equivalent meat products, and to assess levels of micronutrient fortification in meat analogues. METHODS: This cross-sectional study used nutrition composition data for products collected in 2021 from major supermarkets in Australia. Nutritional quality was assessed using the Health Star Rating, energy (kJ), protein (g), saturated fat (g), sodium (mg), total sugars (g), and fibre content (g) per 100 g, and level of food processing using the NOVA classification. Proportion of products fortified with iron, vitamin B12 and zinc were reported. Differences in health star rating and nutrients between food categories were assessed using independent t-tests. RESULTS: Seven hundred ninety products (n = 132 plant-based and n = 658 meat) across eight food categories were analysed. Meat analogues had a higher health star rating (mean 1.2 stars, [95% CI: 1.0-1.4 stars], p < 0.001), lower mean saturated fat (-2.4 g/100 g, [-2.9 to -1.8 g/100 g], p < 0.001) and sodium content (-132 mg/100 g, [-186 to -79 mg/100 g], p < 0.001), but higher total sugar content (0.7 g/100 g, [0.4-1.1 g/100 g], p < 0.001). Meat analogues and meat products had a similar proportion of ultra-processed products (84% and 89%, respectively). 12.1% of meat analogues were fortified with iron, vitamin B12 and zinc. CONCLUSION: Meat analogues generally had a higher health star rating compared with meat equivalents, however, the nutrient content varied. Most meat analogues were also ultra-processed and few are fortified with key micronutrients found in meat. More research is needed to understand the health impact of these foods.

Estimated Dietary and Health Impact of the World Health Organization's Global Sodium Benchmarks on Packaged Foods in Australia: a Modeling Study.

BACKGROUND: In 2021, the World Health Organization (WHO) set sodium benchmarks for packaged foods to guide countries in setting feasible and effective sodium reformulation programs. We modeled the dietary and health impact of full compliance with the WHO's sodium benchmarks in Australia and compared it to the potential impact of Australia's 2020 sodium reformulation targets. METHODS: We used nationally representative data on food and sodium intake, sodium levels in packaged foods, and food sales volume to estimate sodium intake pre- and post-implementation of the WHO and Australia's sodium benchmarks for 24 age-sex groups. Using comparative risk assessment models, we then estimated the potential deaths, incidence, and disability-adjusted life years averted from cardiovascular disease, chronic kidney disease, and stomach cancer based on the reductions in sodium intake. RESULTS: Compliance with the WHO's sodium benchmarks for packaged foods in Australia could lower mean adult sodium intake by 404 mg/day, corresponding to a 12% reduction. This could prevent about 1770 deaths/year (95% uncertainty interval 1168-2587), corresponding to 3% of all cardiovascular disease, chronic kidney disease, and stomach cancer deaths in Australia, and prevent some 6900 (4603-9513) new cases, and 25 700 (17 655-35 796) disability-adjusted life years/year. Compared with Australian targets, the WHO benchmarks will avert around 3 and a half times more deaths each year (1770 versus 510). CONCLUSIONS: Substantially greater health impact could be achieved if the Australian government strengthened its current sodium reformulation program by adopting WHO's more stringent and comprehensive sodium benchmarks.

Dietary intakes of hypertensive patients in rural India: Secondary outcomes of a randomised, double-blind, controlled trial.

Background: Hypertension is highly prevalent in India; however, little is known about the dietary intakes of those living with hypertension, particularly in rural areas. The primary aim was to assess the dietary intakes of individuals living in rural India with self-reported history of hypertension. As secondary analyses, we explored the dietary impact of a salt substitute in this population group. Materials and methods: This study used data from a large randomised controlled trial conducted in seven villages across rural India. Participants received either regular salt (100% sodium chloride) or the salt substitute (70% sodium chloride/30% potassium chloride) to replace all home salt use. Dietary intake at baseline and end-of-trial was assessed using 24-h dietary recalls. A range of dietary outcomes were assessed including energy intake, macronutrient intake and overall diet quality according to the Alternate Healthy Eating Index (AHEI). Results: A total of 454 participants were included in the analysis. At baseline, mean (SE) energy intakes in regular salt group and salt substitute group were similar at 5240 (110) kJ/day and 5120 (106) kJ/day, respectively. This was largely attributable to intakes of carbohydrates (74.4% of total energy intakes for regular salt group vs 75.4% for the salt substitute group) followed by total fat (15.8% vs 15.4%) and protein (10.4% vs 10.3%). Both groups also had similar AHEI scores at baseline, with mean (SE) total scores equating to 33.0 (0.4) (out of a total 90) for the regular salt group and 32.7 (0.4) for the salt substitute group. Both groups received lowest AHEI scores across the following components: vegetables, fruit and wholegrains. At baseline, the mean (SE) intakes of sodium across the regular salt and salt substitute groups were similar at 2349 (67) mg/day and 2396 (64) mg/day, respectively. In the salt substitute group, there was a significant reduction in total sodium intakes over time (-264 mg/day, 95% CI, -442 to -85), driven by the use of the salt substitute. Conclusion: This study found individuals with hypertension living in rural India had poor dietary intakes, including low intakes of fruits, vegetables and wholegrains, and high intakes of sodium. Salt substitutes may be an effective strategy for reducing sodium intake in this population group.

Socio-economic difference in purchases of ultra-processed foods in Australia: an analysis of a nationally representative household grocery purchasing panel.

BACKGROUND: Consumption of ultra-processed foods is associated with increased risk of obesity and non-communicable diseases. Little is known about current patterns of ultra-processed foods intake in Australia. The aim of this study was to examine the amount and type of ultra-processed foods purchased by Australian households in 2019 and determine whether purchases differed by socio-economic status (SES). We also assessed whether purchases of ultra-processed foods changed between 2015 and 2019.  METHODS: We used grocery purchase data from a nationally representative consumer panel in Australia to assess packaged and unpackaged grocery purchases that were brought home between 2015 to 2019. Ultra-processed foods were identified according to the NOVA system, which classifies foods according to the nature, extent and purpose of industrial food processing. Purchases of ultra-processed foods were calculated per capita, using two outcomes: grams/day and percent of total energy. The top food categories contributing to purchases of ultra-processed foods in 2019 were identified, and differences in ultra-processed food purchases by SES (Index of Relative Social Advantage and Disadvantage) were assessed using survey-weighted linear regression. Changes in purchases of ultra-processed foods between 2015 to 2019 were examined overall and by SES using mixed linear models. RESULTS: In 2019, the mean ± SD total grocery purchases made by Australian households was 881.1 ± 511.9 g/d per capita. Of this, 424.2 ± 319.0 g/d per capita was attributable to purchases of ultra-processed foods, which represented 56.4% of total energy purchased. The largest food categories contributing to total energy purchased included mass-produced, packaged breads (8.2% of total energy purchased), chocolate and sweets (5.7%), biscuits and crackers (5.7%) and ice-cream and edible ices (4.3%). In 2019, purchases of ultra-processed foods were significantly higher for the lowest SES households compared to all other SES quintiles (P < 0.001). There were no major changes in purchases of ultra-processed foods overall or by SES over the five-year period. CONCLUSIONS: Between 2015 and 2019, ultra-processed foods have consistently made up the majority of groceries purchased by Australians, particularly for the lowest SES households. Policies that reduce ultra-processed food consumption may reduce diet-related health inequalities.

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

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

The Contribution of Major Food Categories and Companies to Household Purchases of Added Sugar in Australia.

BACKGROUND: The Australian Government will soon be releasing a series of sugar reformulation targets for packaged foods. OBJECTIVE: To estimate the amount of added sugar purchased from packaged food and beverages and the relative contribution that food categories and food companies made to these purchases in 2018. The secondary objective was to examine differences in purchases of added sugar across income levels. DESIGN: Cross-sectional study. PARTICIPANTS/SETTING: We used 1 year of grocery purchase data from a nationally representative panel of Australian households (the NielsenIQ Homescan panel), combined with a packaged food and beverage database (FoodSwitch). MAIN OUTCOME MEASURES: Added sugar purchases (grams per day per capita), purchase-weighted added sugar content (grams per 100 g) and total weight of products (with added sugar) purchased (grams per day per capita). STATISTICAL ANALYSES PERFORMED: Food categories and food companies were ranked according to their contribution to added sugar purchases. Differences in added sugar purchases by income levels were assessed by 1-factor analysis of variance. RESULTS: Added sugar information was available from 7188 households and across 26,291 unique foods and beverages. On average, the amount of added sugar acquired from packaged foods and beverages was (mean ± SE) 35.9 ± 0.01 g/d per capita. Low-income households purchased 11.0 g/d (95% CI: 10.9-11.0 g/d, P < .001) more added sugar from packaged products than high-income households per capita. The top 10 food categories accounted for 82.2% of added sugar purchased, largely due to purchases of chocolate and sweets, soft drinks, and ice cream and edible ices. Out of 994 food companies, the top 10 companies contributed to 62.1% of added sugar purchases. CONCLUSIONS: The Australian Government can strengthen their proposed sugar reduction program by adding further category-specific targets, prioritizing engagement with key food companies and considering a broader range of policies to reduce added sugar intakes across the Australian population.

Changes in the Presence of Nonnutritive Sweeteners, Sugar Alcohols, and Free Sugars in Australian Foods.

BACKGROUND: In parallel with growing consumer interest in reducing sugar intake, manufacturers have increased availability of food and beverage products containing nonnutritive sweeteners (NNSs). However, emerging evidence indicates that specific NNS types have differential effects on cardiometabolic health. OBJECTIVE: This study examined overall changes in the presence of NNSs, sugar alcohols, and free sugars in the Australian food supply and the use of specific NNS types. PARTICIPANTS/SETTING: Data for 21,051 products in 2015 and 21,366 products in 2019 were extracted from The George Institute's FoodSwitch database. MAIN OUTCOME MEASURES: The proportion of products containing NNSs, sugar alcohols, free sugars, and a combination of these, as well as proportion of products containing specific NNS types. STATISTICAL ANALYSES PERFORMED: Changes between 2015 and 2019 were examined using Pearson χ2 tests. RESULTS: Between 2015 and 2019, there was a significant increase in the proportion of food and beverage products containing NNSs (from 3.8% to 4.3%; P < .001) and a significant decrease in products containing free sugars (from 62.7% to 59.9%; P < .001),) driven primarily by nondairy beverages. There were changes in the use of specific NNS types between 2015 and 2019, with a large increase in the use of steviol glycosides (from 33.7% to 50.2%) and a large decrease in the use of sucralose (from 42.4% to 30.5%), aspartame (from 21.0% to 14.4%), and acesulfame K (from 57.4% to 27.7%) (P < .05 for all). CONCLUSIONS: These findings on the use of different NNS, sugar alcohol, and free sugar ingredients and combinations provide important research insights and will be useful in informing government policies that address sugars and other sweeteners in Australian foods.

Total and Free Sugar Levels and Main Types of Sugars Used in 18,784 Local and Imported Pre-Packaged Foods and Beverages Sold in Hong Kong.

There is limited information regarding the free sugar content of pre-packaged foods in Hong Kong. This study aims to assess the free sugar content and identify the most frequently used free sugar ingredients (FSI) in pre-packaged foods in Hong Kong. Data from 18,784 products from the 2019 FoodSwitch Hong Kong database were used in this analysis. Ingredient lists were screened to identify FSI. Total sugar content was derived from nutrition labels on packaging. Free sugar content was estimated based on adaptation of a previously established systematic methodology. Descriptive statistics of the total sugar and free sugar content, as well as the mean ± SD contribution of free sugar to total sugar of the audited products were calculated, stratified by food groups. Almost two-thirds (64.5%) of the pre-packaged foods contained at least one FSI. 'Sugar (sucrose)' was the most popular FSI that was found in more than half (54.7%) of the products. 'Fruit and vegetable juices' (median 10.0; IQR 8.3-11.5 g/100 mL) were found to have a higher median free sugar content than 'Soft drinks' (8.0; 6.0-10.6 g/100 mL). Mean ± SD contribution of free sugar to the total sugar content was 65.8 ± 43.4%, with 8 out of 14 food groups having >70% total sugar as free sugar. To conclude, free sugar, especially sucrose, was extensively used in a wide variety of pre-packaged products sold in Hong Kong. Further studies are needed to assess the population intake of free sugar in Hong Kong to inform public health policy on free sugar reduction.

Estimating the potential impact of the Australian government's reformulation targets on household sugar purchases.

BACKGROUND: Countries around the world are putting in place sugar reformulation targets for packaged foods to reduce excess sugar consumption. The Australian government released its voluntary sugar reformulation targets for nine food categories in 2020. We estimated the potential impact of these targets on household sugar purchases and examined differences by income. For comparison, we also modelled the potential impact of the UK sugar reduction targets on per capita sugar purchases as the UK has one of the most comprehensive sugar reduction strategies in the world. METHODS: Grocery purchase data from a nationally representative consumer panel (n=7,188) in Australia was linked with a large database (FoodSwitch) with product-specific sugar content information for packaged foods (n=25,261); both datasets were collected in 2018. Potential reductions in per capita sugar purchases were calculated overall and by food category. Differences in sugar reduction across income level were assessed by analysis of variance. RESULTS: In 2018, the total sugar acquired from packaged food and beverage purchases consumed at-home was 56.1 g/day per capita. Australia's voluntary reformulation targets for sugar covered 2,471/25,261 (9.8%) unique products in the FoodSwitch dataset. Under the scenario that all food companies adhered to the voluntary targets, sugar purchases were estimated to be reduced by 0.9 g/day per capita, which represents a 1.5% reduction in sugar purchased from packaged foods. However, if Australia adopted the UK targets, over twice as many products would be covered (n=4,667), and this would result in a more than four times greater reduction in sugar purchases (4.1 g/day per capita). It was also estimated that if all food companies complied with Australia's voluntary sugar targets, reductions to sugar would be slightly greater in low-income households compared with high-income households by 0.3 g/day (95%CI 0.2 - 0.4 g/day, p<0.001). CONCLUSIONS: Sugar-reduction policies have the potential to substantially reduce population sugar consumption and may help to reduce health inequalities related to excess sugar consumption. However, the current reformulation targets in Australia are estimated to achieve only a small reduction to sugar intakes, particularly in comparison to the UK's sugar reduction program.

The estimated health impact of sodium reduction through food reformulation in Australia: A modeling study.

BACKGROUND: The Australian Government recently established sodium targets for packaged foods to encourage voluntary reformulation to reduce population sodium consumption and related diseases. We modeled the health impact of Australia's sodium reformulation targets and additional likely health gains if more ambitious, yet feasible sodium targets had been adopted instead. METHODS AND FINDINGS: Using comparative risk assessment models, we estimated the averted deaths, incidence, and disability-adjusted life years (DALYs) from cardiovascular disease (CVD), chronic kidney disease (CKD) and stomach cancer after implementation of (a) Australia's sodium targets (overall and by individual companies); (b) United Kingdom's targets (that covers more product categories); and (c) an optimistic scenario (sales-weighted 25th percentile sodium content for each food category included in the UK program). We used nationally representative data to estimate pre- and post-intervention sodium intake, and other key data sources from the Global Burden of Disease study. Full compliance with the Australian government's sodium targets could prevent approximately 510 deaths/year (95% UI, 335 to 757), corresponding to about 1% of CVD, CKD, and stomach cancer deaths, and prevent some 1,920 (1,274 to 2,600) new cases and 7,240 (5,138 to 10,008) DALYs/year attributable to these diseases. Over half (59%) of deaths prevented is attributed to reformulation by 5 market-dominant companies. Compliance with the UK and optimistic scenario could avert approximately an additional 660 (207 to 1,227) and 1,070 (511 to 1,856) deaths/year, respectively, compared to Australia's targets. The main limitation of this study (like other modeling studies) is that it does not prove that sodium reformulation programs will prevent deaths and disease events; rather, it provides the best quantitative estimates and the corresponding uncertainty of the potential effect of the different programs to guide the design of policies. CONCLUSIONS: There is significant potential to strengthen Australia's sodium reformulation targets to improve its health impact. Promoting compliance by market-dominant food companies will be critical to achieving the potential health gains.

An Innovative Machine Learning Approach to Predict the Dietary Fiber Content of Packaged Foods.

Underconsumption of dietary fiber is prevalent worldwide and is associated with multiple adverse health conditions. Despite the importance of fiber, the labeling of fiber content on packaged foods and beverages is voluntary in most countries, making it challenging for consumers and policy makers to monitor fiber consumption. Here, we developed a machine learning approach for automated and systematic prediction of fiber content using nutrient information commonly available on packaged products. An Australian packaged food dataset with known fiber content information was divided into training (n = 8986) and test datasets (n = 2455). Utilization of a k-nearest neighbors machine learning algorithm explained a greater proportion of variance in fiber content than an existing manual fiber prediction approach (R2 = 0.84 vs. R2 = 0.68). Our findings highlight the opportunity to use machine learning to efficiently predict the fiber content of packaged products on a large scale.