Identifying Belgian protein consumption typologies by means of clustering and classification to move towards personalized advices for sustainable and nutritious food choices

Athletes preferences and willingness to pay for innovative high-protein functional foods

The growing number of athletes in the population leads to an increasing demand for high-protein functional foods to which food industries are trying to respond with new products and strategies that can meet the needs of athletes. An experimental auction was performed to elicit athletes' willingness to pay for an innovative high-protein bread, correlating it to specific food values. For a deeper understanding of the determinants of respondents' choices for high-protein bread and preferences regarding food values, the combination of Best-Worst Scaling and Cluster Analysis was used. The Cluster Analysis identified five different groups of athletes, each characterised by specific preferences and willingness to pay. Participants with high attention for the nutritional aspect and needs related to sports activity, are willing to pay more than the other ones. The investigated issue is crucial for customizing marketing strategies and meeting the needs of different athlete segments.

Low-carbon diets across diverse dietary patterns: Addressing population heterogeneity under constrained optimization

Mathematical optimization is a useful tool for modeling diets that fulfill requirements for health and environmental sustainability, however, population-based optimization approaches fail to account for underlying dietary diversity in populations. This study proposes a methodological approach to consider diverse dietary intake patterns in mathematical optimization of nutritionally adequate low-carbon diets and investigates the differences between different population groups, along with trade-offs between greenhouse gas emission (GHGE) reduction and the inconvenience of dietary changes required to achieve optimized diets. A k-means clustering analysis was applied to individual dietary intake data from Denmark, which resulted in four clusters with different dietary patterns. This was followed by quadratic programming, wherein the total dietary changes required from the observed diet within each cluster were used as a proxy for consumer inconvenience (i.e., "inconvenience index") and were minimized while fulfilling nutrient constraints and incrementally tightened GHGE constraints. Across clusters, a steep increase of the inconvenience index was observed at GHGE levels below approximately 3 kg CO2e/10 MJ, corresponding to GHGE reductions of 24-36 % in different clusters. In all clusters, the optimized diets with nutritional and GHGE constraints showed common traits of increased content of cereals and starches, eggs, and fish and decreased amounts of beef and lamb, cheese, animal-based fats, and alcoholic beverages, but differences across clusters were also observed, maintaining characteristics of the clusters' baselines. When additional health-based targets for food amounts were applied as constraints, the optimized diets converged towards the same type of diet. The total inconvenience of dietary changes required to fulfill constraints differed between clusters, indicating that specific sub-populations may be more effective targets for dietary transition. The method has potential for future integration of more sustainability aspects and different consumer preferences.

Associations between the objective and perceived food environment and eating behavior in relation to socioeconomic status among adults in peri-urban settings: results from the CIVISANO study in Flanders, Belgium

Obesity, a significant public health concern, disproportionately affects people with lower socioeconomic status (SES). Food environments have been identified as part of the causal chain of this disparity. This study investigated variations in the food environment across groups with different SES profiles residing in peri-urban municipal settings. In addition, it examined the association of the perceived and objective food environments with eating behaviour and assessed if these associations were moderated by SES. Utilizing GIS and survey data (n = 497, aged 25-65), results showed differences in the objective and perceived food environments based on SES. Respondents with higher SES perceived their food environments as better but resided farther from all food outlets compared to respondents with lower SES. However, there was no difference in outlet density or mRFEI between SES groups. SES moderated associations between the objective and perceived food environments and most eating behavior outcomes except fast food consumption frequency. For fruits and vegetables, SES moderated the association between neighborhood availability and consumption frequency (β0.23,CI0.03;0.49). Stratified analysis revealed a positive association for both lower (β0.15, CI0.03;0.27) and higher (β0.37, CI 0.12;0.63) SES groups. For snack foods, SES moderated the association between healthy outlet density and consumption frequency (β-0.60, CI-0.94; -0.23), showing statistical significance only for respondents with higher SES (β0.36,CI 0.18;0.55). Similarly, for sugar-sweetened beverages, a statistically significant interaction was observed between unhealthy outlet density in the 1000m buffer and consumption frequency (β 0.06, CI 0.02; 0.11). However, this association was only statistically significant for respondents with higher SES (β-0.02,CI -0.05;-0.0002). These results emphasize the significance of SES as a crucial element in comprehending the connection between the food environment and eating behaviour. Indicating the need for policymakers to take SES into account when implementing food environment interventions, particularly when focusing on the neighborhood food environment without considering residents' SES and their perceptions.

Meat consumption and flexitarianism in the Low Countries

Against the backdrop of meat production and consumption being increasingly contested, this paper presents a narrative descriptive review of (reductions in) meat consumption in the Netherlands and Belgium with a focus on trends during the period 2010-2020. Based on household panel purchasing data and supply balance sheet data as proxies, our analysis shows that meat consumption in the Netherlands is relatively stable, based on supply balance sheet data, despite an estimated annual decrease of around 250 g per capita per year based on household panel purchasing data. Meanwhile, household purchasing panel data for Belgium show a more steady and stronger decline with an annual decrease of slightly >1 kg per capita per year over the past decade, as well as more fluctuations based on supply balance sheet data. The 'Covid-year' 2020 displays a distinct pattern in both countries which deserves further exploration. Both countries face growing shares of (self-declared) flexitarians (ranging from around or above 30% in Belgium to 40% or more in the Netherlands depending on the data source and its definition of flexitarians) and consumers who claim to intend reducing their meat consumption in the future. The analysis reveals important differences in research methodologies, sample compositions, and analytical techniques. Such differences raise caveats for direct comparison between countries and impose challenges for the (European) monitoring of the so-called 'protein transition'. Although some change is occurring, the data suggest that meat reduction calls resonate still more in terms of people's attitudes, awareness, and intentions than in overt dietary behavioral change. Overall, our findings provide reason to conclude that the established meat-centered food system and its dominant meat-eating culture are still prevailing in the Low Countries.