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).

Changes in sodium levels in Australian packaged foods between 2014 and 2019: an interrupted time series analysis of the impact of the Victorian Salt Reduction Partnership's media advocacy strategy.

BACKGROUND: The Victorian Salt Reduction Partnership (VSRP) implemented a media advocacy strategy (intervention) to stimulate food manufacturers to reduce sodium levels across targeted Australian packaged foods between 2017 and 2019. This study assessed changes in sodium levels of targeted and non-targeted packaged foods during the intervention (2017 to 2019) compared to before the intervention (2014 to 2016) in Australia. METHODS: Annually collected branded-food composition data from 2014 to 2019 were used. Interrupted time series analyses was conducted to compare the trend in sodium levels in packaged foods during the intervention (2017-2019) to the trend in the pre-intervention period (2014-2016). The difference between these trends was derived to estimate the effect of the intervention. RESULTS: A total of 90,807 products were included in the analysis, of which 14,743 were targeted by the intervention. The difference in before and during intervention trends between targeted and non-targeted food categories was 2.59 mg/100 g (95% CI: -13.88 to 19.06). There was a difference in the pre-intervention slope (2014, 2015, 2016) and intervention slope (2017, 2018, 2019) for four of 17 targeted food categories. There was a decrease in sodium levels (mg/100 g) in one food category: frozen ready meals (-13.47; 95% CI: -25.40 to -1.53), and an increase in three categories: flat bread (20.46; 95% CI: 9.11 to 31.81), plain dry biscuits (24.53; 95% CI: 5.87 to 43.19), and bacon (44.54; 95% CI: 6.36 to 82.72). For the other 13 targeted categories, the difference in slopes crossed the line of null effect. CONCLUSIONS: The VSRP's media advocacy strategy did not result in a meaningful reduction in sodium levels of targeted packaged food products during the intervention years compared to trends in sodium levels before the intervention. Our study suggests media advocacy activities highlighting the differences in sodium levels in packaged food products and industry meetings alone are not sufficient to lower average sodium levels in packaged foods in the absence of government leadership and measurable sodium targets.

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.

Packaged foods purchased on price promotion in Australia.

We examined the prevalence and magnitude of price promotions among purchases of packaged foods and beverages in Australia, as well as the contribution of price-promoted foods and beverages to apparent energy intake. We utilized grocery purchase data from a nationally representative panel of 10 000 households in 2019 (NielsenIQ Homescan panel), combined with a food nutrition dataset (FoodSwitch). Nutritional quality was defined using the Australian and New Zealand Health Star Rating (HSR), where products with an HSR <3.5 were classified as 'less healthy' and products with an HSR ≥3.5 were classified as 'healthy'. Apparent energy intake was expressed as the total energy content of all purchased products per day per capita. Price promotions were claimed by panel members. Overall, four-in-ten packaged products (41%) were purchased on price promotion. Compared to 'healthy' products, 'less healthy' products were more frequently purchased on price promotion (33% vs 48%, respectively, p < 0.001), but had a similar mean magnitude of price discount (both 22%). Low socio-economic status (SES) households consumed 18% more energy from 'less healthy' packaged products on price promotion than high SES households (1141 vs 970 kJ/day/capita, p < 0.001). In conclusion, restricting price promotions for 'less healthy' packaged foods and beverages could potentially improve diet quality and dietary inequalities in Australia.

Testing the Feasibility and Dietary Impact of a "Produce Prescription" Program for Adults with Undermanaged Type 2 Diabetes and Food Insecurity in Australia.

BACKGROUND: There is growing interest in Food is Medicine programs that incorporate food-based interventions into health care for patients with diet-related conditions. OBJECTIVES: We aimed to test the feasibility of a "produce prescription" program and its impact on diet quality for people with type 2 diabetes (T2D) experiencing food insecurity in Australia. METHODS: We conducted a pre-post intervention study in n = 50 adults experiencing food insecurity with T2D and glycated hemoglobin (HbA1c) ≥8%. Once enrolled, participants received healthy food boxes weekly free of charge, with the contents sufficient to create 2 meals/d, 5 d/wk for the entire household, over 12 wk. Participants were also provided with tailored recipes and behavioral change support. The primary outcome was change in diet quality assessed by 24-h diet recalls. Secondary outcomes included differences in cardiovascular disease risk factors; blood micronutrients; and feasibility indicators. Differences in the baseline and 12-wk mean primary and secondary outcomes were assessed by paired t tests. RESULTS: Participants were older adults with mean ± SD age 63 ± 9 y (range: 40-87 y), HbA1c 9.8% ± 1.5%, and 46% were female. Overall, 92% completed the final study follow-up for the primary outcome. Compared with baseline, diet quality improved at week 12, with an increase in the mean overall diet quality (Alternate Healthy Eating Index score) of 12.9 (95% CI: 8.7, 17.1; P < 0.001), driven by significant improvements in vegetables, fruits, whole grains, red/processed meat, trans fat, sodium, and alcohol consumption. Blood lipids also improved (total:HDL cholesterol: -0.48; 95% CI: -0.72, -0.24; P < 0.001), and there was significant weight loss (-1.74 kg; 95% CI: -2.80, -0.68 kg, P = 0.002), but no changes in other clinical outcomes. Participants reported high levels of satisfaction with the program. CONCLUSIONS: These findings provide strong support for an adequately powered randomized trial to assess effects of produce prescription as an innovative approach to improve clinical management among individuals with T2D experiencing food insecurity. This trial was registered at https://anzctr.org.au/ as ACTRN12621000404820.

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.

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.

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.

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

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

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

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

Sodium concentration of pre-packaged foods sold in Hong Kong.

OBJECTIVE: To describe the Na concentration of pre-packaged foods available in Hong Kong. DESIGN: The Na concentrations (mg/100 g or mg/100 ml or per serving) of all pre-packaged foods available for sale in major supermarket chains in Hong Kong were obtained from the 2017 Hong Kong FoodSwitch database. Median and interquartile range (IQR) of Na concentration for different food groups and the proportion of foods and beverages considered low and high Na (<120 mg/100 g or mg/100 ml and >600 mg/100 g or mg/100 ml, respectively) were determined. SETTING: Hong Kong. PARTICIPANTS: Not applicable. RESULTS: We analysed 11 518 pre-packaged products. 'Fruit and vegetables (including table salt)' had the highest variability in Na concentration ranging from 0 to 39 000 mg/100 g, followed by 'sauces, dressings, spreads and dips' ranging from 0 to 34 130. The latter also had the highest median Na concentration (mg/100 g or mg/100 ml) at 1180 (IQR 446-3520), followed by meat and meat products (median 800, IQR 632-1068) and snack foods (median 650, IQR 453-926). Fish and fish products (median 531, 364-791) and meat and meat products (median 444, IQR 351-593) had the highest Na concentration per serving. Overall, 46·7 and 26·7 % of products were low and high in Na, respectively. CONCLUSIONS: Our results can serve as a baseline for food supply interventions in Hong Kong. We have identified several food groups as priority areas for reformulation, demonstrating the potential of such initiatives to improve the healthiness of the food supply in Hong Kong.

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.

Switches in food and beverage product purchases can reduce greenhouse gas emissions in Australia.

Switching between similar food and beverage products may reduce greenhouse gas emissions (GHGe). Here, using consumer data linked to 23,550 product-specific GHGe values, we estimated annual GHGe attributable to product purchases consumed at home in Australia and calculated reductions from specific switches. Potential changes to mean Health Star Rating, mean energy density and the proportion of ultraprocessed foods purchased were assessed. Approximately 31 million tonnes of GHGe were attributable to products consumed at home in 2019, the three highest contributors of GHGe being 'meat and meat products' (49%), 'dairy' (17%) and 'non-alcoholic beverages' (16%). Switching higher-emission products for 'very similar' lower-emission products could reduce total emissions by 26%. Switches to 'less similar' lower-emission products could lead to a 71% reduction. Switches had little impact on the average Health Star Rating, energy density of purchases and proportion of ultraprocessed foods purchased. Directing manufacturing and marketing towards lower-environmental-impact products and signposting such options to consumers are key.

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.

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 mycoprotein intake on biomarkers of human health: a systematic review and meta-analysis.

BACKGROUND: Mycoprotein is a fungal source of protein that is increasingly consumed as an ingredient in meat analogs. OBJECTIVES: This study aimed to systematically review and meta-analyze the effects of mycoprotein intake on selected biomarkers of human health. METHODS: This study was registered in PROSPERO (CRD42022308980). We searched the PubMed, Scopus, and Embase databases to identify randomized control trials in any language until 16 August, 2022. Trials were included if they administered a mycoprotein intervention against a nonmycoprotein control arm and if reported outcomes included blood lipids, blood glucose, insulin, blood pressure, or body weight. Eligible trials were assessed for risk of bias using the Cochrane risk-of-bias tool for randomized trials. An inverse-variance-weighted, random-effects meta-analysis model was used to assess the effects of intake across each biomarker. RESULTS: Nine trials that included 178 participants with a mean follow-up of 13 d were included, with 4 reporting on blood lipids and 5 reporting on postprandial blood glucose or insulin. The overall reduction of total cholesterol was -0.55 mmol/L (95% CI: -0.85 to -0.26; P < 0.001) in the mycoprotein group compared to control, but no clear effects on HDL cholesterol, LDL cholesterol, or TGs were found (all P > 0.05). There were no reductions in postprandial blood glucose concentrations at 30, 60, 90 or 120 min. Postprandial blood insulin concentration was reduced by -76.51 pmol/L (95% CI: -150.75 to -2.28; P = 0.043) at 30 min, with no detectable effects at 60, 90, or 120 min. CONCLUSIONS: Mycoprotein intake may have important effects on blood lipids, but the evidence base is limited by the small sample sizes and short intervention periods of the contributing trials. The protocol for this systematic review has been registered in PROSPERO as CRD42022308980.

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.

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.

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.

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.