Intermittent fasting (IF) is a dietary approach that has gained popularity in recent years. More and more Spanish people are following this eating pattern, which consists of alternating periods of fasting with periods of food intake. Its benefits include improved metabolic and vascular health and weight loss. Objectives: 1. To study the prevalence of IF among the Spanish population. 2. To explore how demographic factors influence the choice to adopt this dietary approach. Methods: A descriptive cross-sectional study was conducted on the Spanish population using the NutSo-HH questionnaire, which was constructed, validated, and disseminated by the research team through a non-probabilistic snowball sampling approach, collecting socio-demographic data and nutritional, social and lifestyle habits of the population. Results and conclusions: A valid sample of 22,181 people participated, of whom 4.59% (n = 1018) said they practiced IF. The data show that more middle-aged men than women practice IF. In addition, individuals who follow IF methods are less likely to have no control over their food intake, are less scared to gain weight and have a higher body image, but no differences were found related to unhealthy food and nights out. There were also no significant differences in terms of the level of education, income, size of municipality, or region of residence. In conclusion, a person who practices IF seems to have adopted a healthier lifestyle and social habits.

XAnnoRank is a web-based framework designed to support explain-ability studies in rankings via user-centered evaluation. XAnno-Rank provides an easily adaptable user interface (UI) that enables systematic assessment of explainability methods by presenting ranked lists with and without explanations, while collecting both implicit and explicit user feedback. Its flexibility facilitates diverse user design, including different explanation types, datasets, ranking models, and researcher-defined configurations. The tool has been successfully demonstrated and validated in a high-stakes domain through a study on explainability in recruitment conducted as part of the EU-funded FINDHR1 project.2 By streamlining the UI setup, XAnnoRank reduces implementation efforts and enables reproducibility across studies. The code and documentation3 are publicly available, together with a demonstration video4.