School is considered a privileged environment for health education and school feeding represents an opportunity for promoting sustainable foods to young generations. The objective of this paper is to demonstrate that is possible to select, from existing school menus, recipes that combine healthy foods with low environmental impact. A national sample of Italian school menus was collected and a total number of 194 recipes were included on a database containing 70 first courses, 83 s courses, 39 side dishes, 1 portion of fruit, and 1 portion of bread. A mathematical model was conceived to combine nutritional adequacy and acceptability criteria while minimizing GHGs emissions. The result is a four-week menu characterized by large vegetable components that were used not only as side dishes but also as ingredients in the first and second courses. Legumes and pasta are often included, and white meat is selected instead of red meat. The findings presented in this paper demonstrated that it is possible to design environmental-friendly meals from existing school menus. The mathematical model developed in this work has the potentiality of being completely scalable, easily updatable, and widely utilizable in different settings either for design or monitoring purposes as well as for research data collection.

National food consumption surveys are crucial for monitoring the nutritional status of individuals, defining nutrition policies, estimating dietary exposure, and assessing the environmental impact of the diet. The methods for conducting them are time and resource-consuming, so they are usually carried out after extended periods of time, which does not allow for timely monitoring of any changes in the population’s dietary patterns. This study aims to compare the results of nutrition-related mobile apps that are most popular in Italy, with data obtained with the dietary software Foodsoft 1.0, which was recently used in the Italian national dietary survey IV SCAI. The apps considered in this study were selected according to criteria, such as popularity (downloads > 10,000); Italian language; input characteristics (daily dietary recording ability); output features (calculation of energy and macronutrients associated with consumption), etc. 415 apps in Google Play and 226 in the iTunes Store were examined, then the following five apps were selected: YAZIO, Lifesum, Oreegano, Macro and Fitatu. Twenty 24-hour recalls were extracted from the IV SCAI database and inputted into the apps. Energy and macronutrient intake data were compared with Foodsoft 1.0 output. Good agreement was found between the selected apps and Foodsoft 1.0 (high correlation index), and no significant differences were found in the mean values of energy and macronutrients, except for fat intakes. In conclusion, the selected apps could be a suitable tool for assessing dietary intake.

Background/Objectives: The Fourth Italian National Food Consumption Survey (IV SCAI 2017–2020) provides updated and comprehensive data on the dietary habits of the Italian population. The study aimed to assess nutrient intakes and their main food sources among individuals aged 3 months to 74 years and to evaluate the adequacy of intakes against the Italian dietary reference values (DRVs). Methods: A nationally representative sample of 1969 participants were surveyed using two non-consecutive food diaries (ages 3 months–9 years) and 24 h recalls (ages 10–74 years) in accordance with the European Food Safety Authority’s EU Menu guideline. The multiple source method was used to estimate the usual intakes accounted for intra-individual variability. Nutrient adequacy was assessed against age- and sex-specific DRVs, and the main food sources of macro- and micronutrients were identified. Results: Energy intake was below DRVs for adults, particularly women, while protein intake exceeded recommendations across all ages, mainly from animal sources (67% of total). Total fat (38%En) and saturated fat (12%En) exceeded the recommendations, whereas carbohydrates (45%En) and dietary fibre were suboptimal. Vitamin D and calcium intake were markedly below DRVs for all age groups; iron inadequacy was prevalent among females. The main energy sources were cereals (39%), milk and dairy (15%), oils and fats (13%), and meat (10%). Vegetables and fruits were leading contributors to vitamins A and C, while meat, fish, and dairy provided vitamin B12 and D. Conclusions: The Italian diet remains cereal-based but shows nutritional imbalances: notably, excessive protein and fat intake and widespread deficiencies in vitamin D, calcium, iron, and fibre. These findings underline the need for targeted nutrition policies to realign dietary patterns with the national recommendations.

Background and aim: Cereals’ iron content is a major contributor to dietary iron intake in Europe and a potential for biofortification. A simulation of daily iron intake from wheat and rice over the next 20 years will be quantified. Methods: Food items, and energy and iron intake by age classes are estimated using the Italian dietary survey (IV SCAI). Iron intake and adequacy estimation trends were categorized in four scenarios compared to a baseline (basic scenario; only climate change effects): over wheat and rice biofortification effects (scenario 1); over the shift in whole wheat consumption of up to 50% of the total amount of wheat-based foods (scenario 2); over the shift in brown rice consumption up to 100% of the total amount of rice (scenario 3); over the cumulative effects of biofortifications and whole wheat and brown rice consumption (scenario 4). Results: Increasing the iron intake from wheat and rice biofortification and the shift in whole wheat consumption is similar and sufficient to recover the baseline iron depletion effect due to climate change. The shift in brown rice consumption produces a negligible increment in iron intake. The cumulative effects of the corrective actions considered in the scenarios can significantly reduce the iron intake inadequacy, despite not reaching the recommended levels. Conclusions: Corrective actions including biofortification and whole grain consumption are still far from ensuring the full recovery in children and females of fertile age as at-risk groups of iron deficiency. Further actions are needed considering other biofortified food sources, fortified foods, and/or dietary food diversification.

The national food consumption surveys are crucial for monitoring the nutritional status of population but are also time and resource consuming. The growing use of technology and web-based platforms can help to reduce the logistical burden and cost of conventional methods. This study aims to compare self-administered 24 h recall to those obtained from interviewer-led 24 h recall by examining food items, food group and nutrient intakes using the online software FOODCONS 1.0 in both cases. The volunteers (39 adults) were randomized in A and B groups. On study days, they completed a self-administered 24 h recall and 3 h later, an interviewer-led 24 h recall. After 15 days, the same process was repeated in the opposite way. The difference in the two-day mean of energy and macro- and micronutrients intakes between the two methods was not statistically significant. The Bland–Altman analysis found a good agreement for energy, carbohydrates and fiber. At the level of food groups, the correlation coefficients indicated good concordance between the two methods. The self-administered 24 h recall through FOODCONS 1.0 software could be a suitable alternative to an interviewer-led interview, allowing a higher participation rate and less time-consuming food consumption studies.

The national food consumption surveys are crucial for monitoring the nutritional status of population, defining nutrition policies, estimating dietary exposure to substances present in food, and assessing the environmental impact of the diet, among others. This study aims to compare energy and nutrient intakes of self-administered 24-hour recall to those obtained from interviewer-led 24-hour recall, using FOODCONS software in both cases. Methods: Thirty-nine adult volunteers the sample of was randomized in A and B groups: test method first vs reference method and vice versa. After 15 days the same process was repeated in the opposite way and then volunteers filled out a questionnaire to evaluate the software and the instruction materials. Results: not significantly differences between means of energy and nutrient intakes among the two methods except for α Linolenic acid and Linoleic acid; The Bland Altman analysis found a good agreement of the amount (g), drinking water, included protein and fiber intake except for two subjects (5.0%) out of the interval; good agreement was also observed for energy, carbohydrates, and fat intakes. Conclusion: The self-administered 24h recall could be a suitable alternative to face-to-face interviews for recording data on foods consumed and this would allow a higher participation rate in food consumption studies.