Switching regular salt (sodium chloride) to salt enriched with potassium chloride (25 % potassium chloride, 75 % sodium chloride) has been shown to reduce blood pressure and the risk of cardiovascular diseases. We sought to define the potential for the current production of sodium chloride and potassium chloride to support a global switch to the use of potassium-enriched salt.

We summarised data from geological surveys, government reports and trade organisations describing the global production and supply of sodium chloride and potash (the primary source of potassium chloride) and compared this to potential requirements for potassium-enriched salt.

Global.

Not applicable.

Approximately 280 million tonnes of sodium chloride were produced in 2020 with China and the USA the main producers. Global production of potash from which potassium chloride is extracted was about forty-four million tonnes with Canada, Belarus, Russia and China providing 77 % of the world’s supply. There were forty-eight countries in which potassium-enriched salt is currently marketed with seventy-nine different brands identified. Allowing for loss of salt between manufacture and consumption, a full global switch from regular salt to potassium-enriched salt would require about 9·7 million tonnes of sodium chloride to be replaced with 9·7 million tonnes of potassium chloride annually.

Significant upscaling of the production of potassium chloride and the capacity of companies able to manufacture potassium-enriched salt, as well as a robust business case for the switch to potassium chloride, would be required.

In 2015, the Victorian Salt Reduction Partnership launched a 4-year multifaceted salt reduction intervention designed to reduce salt intake by 1 g/d in children and adults living in Victoria, Australia. Child-relevant intervention strategies included a consumer awareness campaign targeting parents and food industry engagement seeking to reduce salt levels in processed foods. This study aimed to assess trends in salt intake, dietary sources of salt and discretionary salt use in primary schoolchildren pre- and post-delivery of the intervention.

Repeated cross-sectional surveys were completed at baseline (2010–2013) and follow-up (2018–2019). Salt intake was measured via 24-h urinary Na excretion, discretionary salt use behaviours by self-report and sources of salt by 24-h dietary recall. Data were analysed with multivariable-adjusted regression models.

Victoria, Australia.

Children aged 4–12 years

Complete 24-h urine samples were collected from 666 children at baseline and 161 at follow-up. Mean salt intake remained unchanged from baseline (6·0; se 0·1 g/d) to follow-up (6·1; 0·4 g/d) (P = 0·36), and there were no clear differences in the food sources of salt and at both time points approximately 70 % of children exceeded Na intake recommendations. At follow-up, 14 % more parents (P = 0·001) reported adding salt during cooking, but child use of table salt and inclusion of a saltshaker on the table remained unchanged.

These findings show no beneficial effect of the Victorian Salt Reduction Partnership intervention on children’s salt intake. More intensive, sustained and coordinated efforts between state and federal stakeholders are required.

To assess the contribution of different food groups to total salt purchases and to evaluate the estimated reduction in salt purchases if mandatory maximum salt limits in South African legislation were being complied with.

This study conducted a cross-sectional analysis of purchasing data from Discovery Vitality members. Data were linked to the South African FoodSwitch database to determine the salt content of each food product purchased. Food category and total annual salt purchases were determined by summing salt content (kg) per each unit purchased across a whole year. Reductions in annual salt purchases were estimated by applying legislated maximum limits to product salt content.

South Africa.

The study utilised purchasing data from 344 161 households, members of Discovery Vitality, collected for a whole year between January and December 2018.

Vitality members purchased R12·8 billion worth of food products in 2018, representing 9562 products from which 264 583 kg of salt was purchased. The main contributors to salt purchases were bread and bakery products (23·3 %); meat and meat products (19 %); dairy (12·2 %); sauces, dressings, spreads and dips (11·8 %); and convenience foods (8·7 %). The projected total quantity of salt that would be purchased after implementation of the salt legislation was 250 346 kg, a reduction of 5·4 % from 2018 levels.

A projected reduction in salt purchases of 5·4 % from 2018 levels suggests that meeting the mandatory maximum salt limits in South Africa will make a meaningful contribution to reducing salt purchases.

By clearly conveying the healthiness of a food, front-of-pack (FOP) labels have the potential to influence the portion size considered appropriate for consumption. The present study examined the how the Daily Intake Guide (DIG), Multiple Traffic Lights (MTL) and Health Star Rating (HSR) FOP labels affect judgements of appropriate portion sizes of unhealthy foods compared with when no FOP label is present.

Respondents viewed mock packages of unhealthy variations of pizzas, cookies, yoghurts and cornflakes featuring the DIG, MTL, HSR or no FOP label, and indicated the portion size they believed should be eaten of each food on a single occasion.

The survey was completed on the respondent’s personal computer.

A total of 1505 Australian adults provided 4166 ratings across 192 mock packages relating to four product categories: pizza, yoghurt, cornflakes and cookies.

Compared with no FOP label, the HSR resulted in a small but significant reduction in the portion size selected as appropriate for consumption of pizzas and cornflakes (P<0·05). The MTL resulted in smaller portions of cornflakes being selected compared with no FOP label (P<0·05).

Respondents perceived smaller portion sizes as appropriate for some, but not all, of the foods tested when FOP labels with more interpretative formats (HSR, MTL) appeared on-pack compared with no FOP label. No effect was found for the less interpretive FOP label (the DIG). Interpretive FOP labels may have the potential to influence portion size judgements, albeit at modest levels.

Measurement of mean population Na and K intakes typically uses laboratory-based assays, which can add significant logistical burden and costs. A valid field-based measurement method would be a significant advance. In the current study, we used 24 h urine samples to compare estimates of Na, K and Na:K ratio based upon assays done using the field-based Horiba twin meter v. laboratory-based methods.

The performance of the Horiba twin meter was determined by comparing field-based estimates of mean Na and K against those obtained using laboratory-based methods. The reported 95 % limits of agreement of Bland–Altman plots were calculated based on a regression approach for non-uniform differences.

The 24 h urine samples were collected as part of an ongoing study being done in rural China.

One hundred and sixty-six complete 24 h urine samples were qualified for estimating 24 h urinary Na and K excretion.

Mean Na and K excretion were estimated as 170·4 and 37·4 mmol/d, respectively, using the meter-based assays; and 193·4 and 43·8 mmol/d, respectively, using the laboratory-based assays. There was excellent relative reliability (intraclass correlation coefficient) for both Na (0·986) and K (0·986). Bland–Altman plots showed moderate-to-good agreement between the two methods.

Na and K intake estimations were moderately underestimated using assays based upon the Horiba twin meter. Compared with standard laboratory-based methods, the portable device was more practical and convenient.

To estimate the proportion of products meeting Indian government labelling regulations and to examine the Na levels in packaged foods sold in India.

Nutritional composition data were collected from the labels of all packaged food products sold at Indian supermarkets in between 2012 and 2014. Proportions of products compliant with the Food Safety Standards Authority of India (FSSAI) regulations and labelled with Na content, and mean Na levels were calculated. Comparisons were made against 2010 data from Hyderabad and against the UK Department of Health (DoH) 2017 Na targets.

Eleven large chain retail stores in Delhi and Hyderabad, India.

Packaged food products (n 5686) categorised into fourteen food groups, thirty-three food categories and ninety sub-categories.

More packaged food products (43 v. 34 %; P<0·001) were compliant with FSSAI regulations but less (32 v. 38 %; P<0·001) reported Na values compared with 2010. Food groups with the highest Na content were sauces and spreads (2217 mg/100 g) and convenience foods (1344 mg/100 g). Mean Na content in 2014 was higher in four food groups compared with 2010 and lower in none (P<0·05). Only 27 % of foods in sub-categories for which there are UK DoH benchmarks had Na levels below the targets.

Compliance with nutrient labelling in India is improving but remains low. Many packaged food products have high levels of Na and there is no evidence that Indian packaged foods are becoming less salty.

To update the estimate of mean salt intake for the Australian population made by the Australian Health Survey (AHS).

A secondary analysis of the data collected in a cross-sectional survey was conducted. Estimates of salt intake were made in Lithgow using the 24 h diet recall methodology employed by the AHS as well as using 24 h urine collections. The data from the Lithgow sample were age- and sex-weighted, to provide estimates of daily salt intake for the Australian population based upon (i) the diet recall data and (ii) the 24 h urine samples.

Lithgow, New South Wales, Australia.

Individuals aged ≥20 years residing in Lithgow and listed on the 2009 federal electoral roll.

Mean (95 % CI) salt intake estimated from the 24 h diet recalls was 6·4 (6·2, 6·7) g/d for the Lithgow population compared with a corresponding figure of 6·2 g/d for the Australian population derived from the AHS. The corresponding estimate of salt intake for Lithgow adults based upon the 24 h urine collections was 9·0 (8·6, 9·4) g/d. When the age- and sex-specific estimates of salt intake obtained from the 24 h urine collections in the Lithgow sample were weighted using Australian census data, estimated salt intake for the Australian population was 9·0 (8·6, 9·5) g/d. Further adjustment for non-urinary Na excretion made the best estimate of daily salt intake for both Lithgow and Australia about 9·9 g/d.

The dietary recall method used by the AHS likely substantially underestimated mean population salt consumption in Australia.

To compare two front-of-pack nutrition labelling systems for the assessment of packaged foods and drinks with Australian Dietary Guidelines.

A cross-sectional nutrient profiling assessment. Food and drink products (n 20 225) were categorised into scoring levels using criteria for the Institute of Medicine (IOM) three-star system and the five-star Australian Health Star Rating (HSR). The effectiveness of these systems to categorise foods in accordance with Australian Dietary Guidelines was explored.

The study was conducted in Australia, using a comprehensive food database.

Packaged food and drink products (n 20 225) available in Australia.

Using the IOM three-star system, the majority (55 %) of products scored the minimum 0 points and 25·5 % scored the maximum 3 points. Using HSR criteria, the greatest proportion of products (15·2 %) scored three-and-a-half stars from a possible five and 12·5 % received the lowest rating of a half-star. Very few products (4·1 %) scored five stars. Products considered core foods and drinks in Australian Dietary Guidelines received higher scores than discretionary foods in all food categories for both labelling systems (all P<0·05; Mann–Whitney U test), with the exception of fish products using IOM three-star criteria (P=0·603). The largest discrepancies in median score between the two systems were for the food categories edible oils, convenience foods and dairy.

Both the IOM three-star and Australian HSR front-of-pack labelling systems rated packaged foods and drinks broadly in line with Australian Dietary Guidelines by assigning core foods higher ratings and discretionary foods lower ratings.

To assess the mean package size and manufacturer-recommended serving size of sweet beverages available in four high-income countries: Australia, Canada, the Netherlands and New Zealand.

Cross-sectional surveys.

The two largest supermarket chains of each country in 2012/2013.

Individual pack size (IPS) drinks (n 891) and bulk pack size (BPS) drinks (n 1904).

For all IPS drinks, the mean package size was larger than the mean serving size (mean (sd)=412 (157) ml and 359 (159) ml, respectively). The mean (sd) package size of IPS drinks was significantly different for all countries (range: Australia=370 (149) ml to New Zealand=484 (191) ml; P<0·01). The mean (sd) package size of Dutch BPS drinks (1313 (323) ml) was significantly smaller compared with the other countries (New Zealand=1481 (595) ml, Australia=1542 (595) ml, Canada=1550 (434) ml; P<0·01). The mean (sd) serving size of BPS drinks was significantly different across all countries (range: Netherlands=216 (30) ml to Canada=248 (31) ml; P<0·00). New Zealand had the largest package and serving sizes of the countries assessed. In all countries, a large number of different serving sizes were used to provide information on the amount appropriate to consume in one sitting.

At this point there is substantial inconsistency in package sizes and manufacturer-recommended serving sizes of sweet beverages within and between four high-income countries, especially for IPS drinks. As consumers do factor serving size into their judgements of healthiness of a product, serving size regulations, preferably set by governments and global health organisations, would provide consistency and assist individuals in making healthier food choices.

To compare the nutrient profile of packaged supermarket food products available in Australia and New Zealand. Eligibility to carry health claims and relationship between nutrient profile score and nutritional content were also evaluated.

Nutritional composition data were collected in six major Australian and New Zealand supermarkets in 2012. Mean Food Standards Australia New Zealand Nutrient Profiling Scoring Criterion (NPSC) scores were calculated and the proportion of products eligible to display health claims was estimated. Regression analyses quantified associations between NPSC scores and energy density, saturated fat, sugar and sodium contents.

NPSC scores were derived for 23 596 packaged food products (mean score 7·0, range −17 to 53). Scores were lower (better nutrient profile) for foods in Australia compared with New Zealand (mean 6·6 v. 7·8). Overall, 45 % of foods were eligible to carry health claims based on NPSC thresholds: 47 % in Australia and 41 % in New Zealand. However, less than one-third of dairy (32 %), meat and meat products (28 %) and bread and bakery products (27·5 %) were eligible to carry health claims. Conversely, >75 % of convenience food products were eligible to carry health claims (82·5 %). Each two-unit higher NPSC score was associated with higher energy density (78 kJ/100 g), saturated fat (0·95 g/100 g), total sugar (1·5 g/100 g) and sodium (66 mg/100 g; all P values<0·001).

Fewer than half of all packaged foods available in Australia and New Zealand in 2012 met nutritional criteria to carry health claims. The few healthy choices available in key staple food categories is a concern. Improvements in nutritional quality of foods through product reformulation have significant potential to improve population diets.

Fast foods are often energy dense and offered in large serving sizes. Observational data have linked the consumption of fast foods to an increased risk of obesity and related diseases.

We surveyed the reported energy, total fat and saturated fat contents, and serving sizes, of fast-food items from five major chains across ten countries, comparing product categories as well as specific food items available in most countries.

MRC Human Nutrition Research, Cambridge, UK.

Data for 2961 food and drink products were collected, with most from Canada (n 550) and fewest from the United Arab Emirates (n 106).

There was considerable variability in energy and fat contents of fast foods across countries, reflecting both the portfolio of products and serving size variability. Differences in total energy between countries were particularly noted for chicken dishes (649–1197 kJ/100 g) and sandwiches (552–1050 kJ/100g). When comparing the same product between countries variations were consistently observed in total energy and fat contents (g/100 g); for example, extreme variation in McDonald’s Chicken McNuggets with 12 g total fat/100 g in Germany compared with 21·1 g/100 g in New Zealand.

These cross-country variations highlight the possibility for further product reformulation in many countries to reduce nutrients of concern and improve the nutritional profiles of fast-food products around the world. Standardisation of serving sizes towards the lower end of the range would also help to reduce the risk of overconsumption.

To assess the change in Na content of Australian pasta sauces between 2008 and 2011. A secondary objective was to project the mean Na content of these same products in 2014 using the Australian Food and Health Dialogue Na commitment and compare projections with the 2012 UK Na target for pasta sauce.

Na data were collected from the product labels of pasta sauce products. Mean Na content was calculated for 2008 and 2011 and change assessed. Projected mean values for 2014 were derived by applying a 15 % reduction to the 2011 products above the ‘action point’ of 420 mg Na/100 g, consistent with the Food and Health Dialogue commitment (scenario 1). A 15 % reduction was applied to products already below the ‘action point’ (scenario 2). Projections were compared with the 2012 UK target.

Na data for pasta sauce products in Australian supermarkets (July–September) in 2008 and 2011.

Not applicable.

Data were available for 124 (2008) and 187 (2011) products, and mean Na levels were not significantly different (451 mg/100 g v. 423 mg/100 g; P = 0·16). The projected means (381 mg Na/100 g in scenario 1; 375 mg Na/100 g in scenario 2) exceeded the 2012 UK target (330 mg Na/100 g) and to attain this would require a 22 % reduction from 2011 levels.

There is little evidence that all Australian manufacturers of pasta sauces systematically reduced the Na content of their products between 2008 and 2011. Even if all manufacturers achieve the current voluntary commitment by 2014, average salt levels in Australian products would still be above the 2012 UK target.