It is evident that the modification of dietary patterns is a necessary precondition of disease prevention and health improvement. Changing nutritional habits also has deep-rooted consequences on the environmental burden. The majority of similar previous studies have analyzed the change in greenhouse gas emissions against theoretical modifications in current food consumption. The analysis on the effect of diet on the water footprint is also gaining in importance, since water supply is a critical global issue. Based on current nutritional patterns of a Central European country—Hungary—as well as dietary recommendations and scientific literature, we generated six dietary scenarios and determined the consequences of these on green (originally from precipitation) and blue (sourced from surface or groundwater) water consumption and dietary quality. Compared to the baseline scenario (current local nutritional pattern) of both genders, based on the integrated aspect of water footprint and dietary quality, the most disadvantageous scenario was the ketogenic (ca. −2% in dietary quality, +18% in blue water footprint, and +16% in green water footprint) and the most advantageous was the sustainable scenario (ca. +9% in dietary quality, −42% in green water footprint, and −29% in blue water footprint). As a summary it can be stated, that (1) there is no clear linear relationship between the “healthiness” and water footprint of different diets, but (2) a more balanced diet, which integrates nutritional and environmental considerations could decrease the environmental burden in an efficient way.

Food production creates 70% of the total anthropogenic water footprint, and it is the main cause of water pollution. Thus, more sustainable diets could contribute to the achievement of the Sustainable Development Goals. A linear programming-based stepwise optimization was designed to create dietary water footprint-reduced, culturally acceptable, and healthier diets in the case of Hungary based on a representative dietary survey. Optimization resulted in a considerable total dietary water footprint reduction (women: 18%; men: 28%) with a moderate dietary shift (~32%). Milk and dairies (observed: ~31.5%, optimized: ~20.5%) and meats and meat products (observed: ~28.0%, optimized: 28.9%) contributed the most to the dietary water footprint. In the water footprint–healthiness synergy, the vegetables, eggs, poultries, and fermented dairies were the most beneficial, increasing in amount, while fatty dairies, foods high in added sugar, and meat products were the most non-beneficial food sub-groups, decreasing in amount in the optimized diets. The problematic nutrients to fulfill in the optimized diets were energy, dietary fibers, sodium, vitamin D, zinc, vitamin B12, calcium, iron, and potassium at the maximum water footprint reduction. The study provides supporting evidence about the dietary water footprint–healthiness synergy for the further improvement of the national food-based dietary guideline.

Diet optimization is a powerful approach for identifying more sustainable diets that simultaneously consider nutritional, economic, cultural, and environmental dimensions. This study aimed to develop an innovative multilevel approach called Individual Diet Including Global Objectives Optimization (INDIGOO) for designing diets that fulfill nutritional requirements and minimize dietary habit shifts at the individual level while attaining environmental impact reduction targets at the population level. For each individual in a representative sample from the French adult population (INCA2 survey 2006–2007; n = 1918), isocaloric and nutritionally adequate optimized diets with minimal shifts from the observed diet were designed. Environmental targets (including a 30% greenhouse gas emissions (GHGEs) reduction) were applied either similarly for each individual (original approach) or at the population level (INDIGOO). Compared with the original approach, INDIGOO enabled smaller dietary changes while distributing the contribution to the overall 30% GHGEs reduction more fairly among individuals (contributions ranging from −69.5% to +64%). For 6.4% of individuals, INDIGOO allowed an increase in GHGEs (+11% on average). Conversely, individuals with the greatest decrease in GHGEs (−45% on average) were characterized by high energy intake and high animal-based products, water, and other beverage consumption. INDIGOO is a promising multilevel approach to support food policy development.

The exponentially growing quantity of nutrition information creates a new situation and challenge for every stakeholder, from athletes, coaches and nutritionists to policymakers. To measure the perception of the information environment related to healthy eating, the diet information overload scale was developed. The scale consists of eight items, measuring the perceived importance of pieces of information overload on Likert-type scales. The objective of the study was to test the applicability and validity of the diet information overload scale among athletes. A cross-sectional validation study was conducted with elite athletes (n = 177). To validate each item of the scale, we applied Cronbach’s alpha test, and the inner consistency of the scale was analyzed with linear correlation coefficients of the different variables. To evaluate the relationship between question groups, we applied factor analysis. The different fit indices showed a good fit to the model; the Root Mean Square Error of Approximation (RMSEA) value was 0.09 and the Tucker–Lewis index (TLI) value was 0.84. The indicators of reliability (α based upon the covariances = 0.81) produced suitable results; thus, the sport nutrition information overload scale showed high reliability and applicability. Based on the sport nutrition information overload scale, further analysis could be carried out on how to optimize the content of key pieces of sport nutrition-related information.

Sustainable nutrition (SN) considers the environmental impact of food production. This study aims to analyse the relationship between nutrient density and water footprint (WF) of the most consumed ...

The contribution of food production to the environmental burden is considerable, therefore, numerous countries have been trying to create a sustainable food supply chain to ensure food and nutrition security. The scope of this study was to analyse the association between water footprint and healthiness based on dietary records. Furthermore, it was aimed to create a classification of integrative dietary indicators of sustainable nutrition. With these methodological aims, the dietary records of 25 healthy adults were assessed. The dietary quality scores and dietary water footprint were calculated and Spearman's rank correlation was tested between them. The indicator nutrients were classified based on their advantageous or disadvantageous health impact and association with water footprint. There was a significant positive correlation between the meat consumption and water footprint, while significant negative correlations were found between the dietary quality score and water footprint and dietary quality score and meat consumption (P< 0.05). Protein, energy, sodium, and saturated fatty acids as integrated indicator nutrients could be identified for both dietary quality and water footprint. The improvement in dietary quality could simultaneously decrease the dietary water footprint. The integration of environmental impact into the analysis of diets could be the future direction in the counseling practice of nutritionists.