Malnutrition is a critical complication among cancer patients, affecting up to 80% of individuals depending on cancer type, stage, and treatment. Artificial Intelligence (AI) has emerged as a promising tool in healthcare, with potential applications in nutritional management to improve early detection, risk stratification, and personalized interventions. This systematic review evaluates the role of AI in identifying and managing malnutrition in cancer patients, focusing on its effectiveness in nutritional status assessment, prediction, clinical outcomes, and body composition monitoring. A systematic search was conducted across PubMed, Cochrane Library, Cumulative Index to Nursing and Allied Health Literature, and Excerpta Medica Database from June to July 2024, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Quantitative primary studies investigating AI-based interventions for malnutrition detection, body composition analysis, and nutritional optimization in oncology were included. Study quality was assessed using the Joanna Briggs Institute (JBI) Critical Appraisal Tools, and evidence certainty was evaluated with the Oxford Centre for Evidence-Based Medicine framework. Eleven studies (n=52,228 patients) met the inclusion criteria and were categorized into three overarching domains: Nutritional Status Assessment and Prediction, Clinical and Functional Outcomes, and Body Composition and Cachexia Monitoring. AI-based models demonstrated high predictive accuracy in malnutrition detection (AUC >0.80). Machine learning algorithms, including decision trees, random forests, and support vector machines, outperformed conventional screening tools. Deep learning models applied to medical imaging achieved high segmentation accuracy (Dice Similarity Coefficient: 0.92-0.94), enabling early cachexia detection. AI-driven virtual dietitian systems improved dietary adherence (84%) and reduced unplanned hospitalizations. AI-enhanced workflows streamlined dietitian referrals, reducing referral times by 2.4 days. AI has demonstrated significant potential in optimizing malnutrition screening, body composition monitoring, and personalized nutritional interventions for cancer patients. Its integration into oncology nutrition care could enhance patient outcomes and optimize healthcare resource allocation. Further research is necessary to standardize AI models and ensure clinical applicability. 10.17605/OSF.IO/A259M STATEMENT OF SIGNIFICANCE: This systematic review highlights the transformative potential of Artificial Intelligence in oncology nutrition by demonstrating its superior accuracy in malnutrition detection, body composition monitoring, and personalized dietary interventions. Unlike previous studies, which focused on isolated AI applications, this work comprehensively evaluates AI-driven models across multiple clinical domains, emphasizing their integration into routine cancer care to enhance early detection, treatment personalization, and overall patient outcomes.

Background: Plant-based diets are becoming more and more widespread among the Spanish population, progressively replacing the Mediterranean dietary pattern. Different studies have shown the motivations for adherence to these diets, and others have highlighted some health advantages and disadvantages. Purpose of the study: Further studies are needed to define the socio-demographic determinants that influence the choice of a plant-based diet and to study the relationship that the choice of dietary pattern has on the health and lifestyle habits of the population. Methods: A descriptive, cross-sectional study was conducted on the Spanish population. The NutSo-HH questionnaire, developed and validated by the research team, was used to gather socio-demographic, nutritional, social, and lifestyle information through non-probabilistic snowball sampling. Results: The questionnaire was completed by 22,181 Spanish citizens, of whom only 19,211 were of interest to the study. The socio-demographic variables gender, age, educational level, income level, and place of residence do not seem to influence the prevalence of a plant-based diet (n = 1638) compared to a Mediterranean diet (n = 17,573). People following a vegetarian or vegan diet have a lower BMI, and they consume less fried food, fast food, and ultra-processed dishes and fewer energy drinks or sugary beverages. They also do more exercise and sleep longer hours, smoke less, and consume alcohol less frequently. However, there seem to be more diagnosed eating disorders among people who follow a plant-based diet than those who follow a Mediterranean diet. Conclusions: People who adopt a plant-based diet tend to exhibit healthier lifestyle patterns and consume fewer foods that are detrimental to their health. However, it is essential for such dietary choices to be supervised by healthcare professionals to mitigate the risk of maladaptive behaviors evolving into eating disorders.

Background: Physical activity and nutrition play a crucial role in maintaining overall health and well-being. This cross-sectional study analyzes the relationship between physical activity habits and dietary patterns in the Spanish population. Methods: Data were collected through validated questionnaires: the Nutritional and Social Healthy Habits scale (NutSo-HH) for nutritional and lifestyle habits and the Global Physical Activity Questionnaire for physical activity distributed via social media from June to November 2024. Results: The sample included 1534 respondents (67% female), aged 18–65+ years, with diverse educational, income, and living conditions. Socio-demographic, nutritional, lifestyle, and physical activity data were analyzed using non-parametric statistical tests and Principal Component Analysis. On average, participants engaged in 96.7 min/week of high-intensity physical activity and 118 min/week) of moderate-intensity physical activity. While 75% met the WHO recommendations for moderate activity, only 40% reached optimal levels of high-intensity activity. Individuals engaging in higher levels of physical activity, particularly high-intensity exercise, reported better self-perceived health, lower obesophobia, and better body image. Additionally, a positive correlation was found between higher physical activity levels and the consumption of fruits, vegetables, legumes, and fish, while individuals with lower physical activity levels demonstrated a higher intake of ultra-processed and fried foods. Conclusions: The Principal Component Analysis revealed a bidirectional relationship between the alignment of healthy dietary habits and increased physical activity. These findings highlight the importance of promoting both physical activity and balanced nutrition to enhance overall health and lifestyle quality.

Background: Although Spain has traditionally followed the Mediterranean diet, in recent years, changes have become noticeable in the food preferences of the population. These changes include adopting new diets and dietary trends, such as plant-based diets, intermittent fasting and raw food diets. These choices are influenced by cultural, social and socio-demographic factors, and their impact on health should be studied in detail.Aim: The objectives of this research are: (1) to study the prevalence of different dietary patterns among the Spanish population, (2) to explore the dependence of dietary choice on socio-demographic factors, (3) to investigate the relationship between the social habits and lifestyle choices of the population and how it affects health.Methods: A descriptive cross-sectional study was carried out on the Spanish population. Using a questionnaire constructed and validated by the research team, socio-demographic data were collected and different nutritional, social and lifestyle habits of the targeted population were explored.Results: A valid sample of 22,181 people was collected among which 17,573 (79.2%) people claimed to follow a Mediterranean dietary pattern, 1,425 (6.4%) people followed a plant-based diet, 365 (1.6%) people are vegans, 1,018 people (4.6%) practiced intermittent fasting, 252 (1.1%) people followed a raw food diet and 1,548 people (7%) claimed to follow other types of diets. The data show that younger people (18–25 years old) tend to adopt more often a plant-based diet than older people and that women tend to follow this type of diet more often than men. On the other hand, men seem to practice intermittent fasting more frequently. A higher tendency to practice a raw food diet was found among people living in villages than those living in cities. Moreover, some trends were found in different regions of Spain, with greater adherence to a plant-based diet in Catalonia, while intermittent fasting is more common in the Region of Murcia. Finally, the results indicate that individuals who pay attention to their diet and experiment with various dietary patterns are generally more health-conscious. This is reflected in their adoption of healthier behaviors, such as exercising more and reducing their intake of alcohol and sugary drinks.

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.

Eating together as a family has important health benefits, as the diet is more balanced and of a higher quality. Eating together is also a factor in the prevention of diet-related diseases. The promotion of family and shared meals is currently a public health strategy. The aim of this research was to study the eating habits of the Spanish young adult population and their impact on health. An observational, descriptive, cross-sectional study was carried out using surveys. A questionnaire was designed and validated to explore a set of variables related to food and health. The dissemination was carried out through social networks by means of an online form, using non-probabilistic snowball sampling to obtain a sample of 17,969 subjects aged between 18 and 45 years. We found statistically significant differences between people living in a family home compared to people living outside a family home in the healthy eating index for the Spanish population, fish consumption, and fried food consumption. This suggests that the nutrition of people living in a family home is healthier, although their BMI is higher. People living together have a statistically higher healthy eating index value than people living alone; consume fast food, fried food, and ultra-processed food less frequently; and eat fish more often. On the other hand, people who live in a family home or are accompanied are more likely to have a sedentary lifestyle and are less physically active. It was concluded that people living alone have a worse healthy eating index than those living with company, which seems to indicate that nutritional interventions should pay attention to people living alone as a variable to be taken into account in future analyses.