Carbohydrate quality is an aetiological factor of diet-related disease. Indices of carbohydrate quality featuring various ratios of carbohydrates-to-dietary fibre-to-sugar have been associated with improved product and/or diet quality in westernised countries. Carbohydrate intake is especially high in Asia Pacific. Thus, this study evaluated the ability of such carbohydrate metrics to discriminate the nutritional quality of carbohydrate-rich packaged foods and beverages in Australia, Malaysia, Singapore, Thailand and the Philippines, with an additional focus on beverages. This evaluation was conducted by comparing product nutritional composition and assessing products against three national nutrient profiling models. Results showed that Australia had the highest proportion of products meeting all metrics, compared to the Southeast Asian countries. Beverages had a low adherence to all metrics compared to solid foods. Across the five countries, both processed food and beverages meeting the metrics generally contained higher dietary fibre, protein, and certain vitamins and minerals whilst having lower energy, total sugars, free sugars, trans fat and cholesterol content compared to products not meeting the metrics. The metrics were also aligned with national nutrient profiling models to identify nutritious products. In conclusion, these metrics allowed us to discriminate product nutritional quality in the countries assessed and are applicable to beverages.

Nutrient profiling systems, initially designed to promote healthy food choices at the point of sale, can also provide the scientific basis for innovation and product reformulation by the food industry. This work presents a new profiling system to help define feasible nutrient targets for reformulation of packaged foods. The focus is on five key nutrients for which the World Health Organisation (WHO) has set population-level goals: sugar, saturated fat, sodium, fiber, and protein. The methodology uses Mintel’s Global New Products Database of packaged foods to (1) identify nutrients relevant to each food category (2) sort products into sub-categories defined by a unique nutritional signature, and (3) develop standards for “best of class” products. For instance, if targeted to be amongst the best 15% of the global food supply, pizza must have less than 4.0 g/100 g saturated fat, less than 520 mg/100 g total sodium and more than 9.8 g/100 g protein. Fiber and sugar are not identified as relevant nutrients for the pizza category and no targets are provided.

An extensive knowledge of the nutrient composition and variability of packaged products available is needed to build and track the efficiency of public health policies (1) . Being built to give "the best estimate of the usual composition of foods in the form most commonly obtained or consumed" to evaluate then the population's dietary intake (2) , the national generic food composition databases (FCDB) do not express the variability observed in supermarkets. The need to develop branded FCDB has been highlighted (3) and some initiatives developed, being governmental, commercial, or crowdfunded. This study aimed at assessing the use of generic, government-led branded and commercial FCDB for analysing nutrient content in a certain category.We analysed the sugar distribution of dairy desserts (a commonly underrepresented category in generic FCDB) in Switzerland and France, from three types of databases: i) the national generic FCDB (Swiss FCDB and Ciqual, respectively), ii) the national branded FCDB (Swiss FCDB and Oqali respectively), iii) the commercial dataset Mintel GNPD collecting information from the label of packaged innovations.For both countries, the mean sugar content of the generic databases was similar between the three databases. However the variability of the sugar content differed between the generic databases and the branded databases (e.g. inter-quartiles range [14·5; 20·3] for the Swiss branded, [5·6; 19·4] for the Swiss generic FCDB (Figure)).The national generic FCDB are not done to study the food supply at a product level, and this study showed that they could give a different distribution of nutrient content that branded FCDB, especially in underrepresented categories. Hence, the development of branded FCDB should be encouraged. More research is needed to determine if existing commercial datasets could be already used in the absence of national branded databases.

No abstract

In this randomized, double-blind triple-crossover study (NCT05142137), the digestive tolerance and safety of a novel, slowly digestible carbohydrate (SDC), oligomalt, an α-1,3/α-1,6-glucan α-glucose-based polymer, was assessed in healthy adults over three separate 7-day periods, comparing a high dose of oligomalt (180 g/day) or a moderate dose of oligomalt (80 g/day in combination with 100 g maltodextrin/day) with maltodextrin (180 g/day), provided as four daily servings in 300 mL of water with a meal. Each period was followed by a one-week washout. A total of 24 subjects (15 females, age 34 years, BMI 22.2 kg/m2, fasting blood glucose 4.9 mmol/L) were recruited, of whom 22 completed the course. The effects on the primary endpoint (the Gastrointestinal Symptom Rating Score (GSRS)) showed a statistically significant dose dependency, albeit of limited clinical relevance, between a high dose of oligomalt and maltodextrin (mean (95% CI) 2.29 [2.04, 2.54] vs. 1.59 [1.34, 1.83], respectively; difference: [−1.01, −0.4], p < 0.0001), driven by the GSRS-subdomains “Indigestion” and “Abdominal pain”. The GSRS difference ameliorated with product exposure, and the GSRS in those who received high-dose oligomalt as their third intervention period was similar to pre-intervention (mean ± standard deviation: 1.6 ± 0.4 and 1.4 ± 0.3, respectively). Oligomalt did not have a clinically meaningful impact on the Bristol Stool Scale, and it did not cause serious adverse events. These results support the use of oligomalt across various doses as an SDC in healthy, normal weight, young adults.