Nutritional and Lifestyle Features in a Mediterranean Cohort: An Epidemiological Instrument for Categorizing Metabotypes Based on a Computational Algorithm.

Modern classification and categorization of individuals' health requires personalized variables such as nutrition, physical activity, lifestyle, and medical data through advanced analysis and clustering methods involving machine learning tools. The objective of this project was to categorize Mediterranean dwellers' health factors and design metabotypes to provide personalized well-being in order to develop professional implementation tools in addition to characterizing nutritional and lifestyle features in such populations. A two-phase observational study was conducted by the Pharmacists Council to identify Spanish nutritional and lifestyle characteristics.

Individual and family predictors of ultra-processed food consumption in Spanish children: The SENDO project.

Background: Ultra-processed food (UPF) consumption is increasing exponentially, becoming a matter of concern for Public Health, given its adverse health effects.

Objective: To identify individual and faGmily factors predicting UPF consumption in childhood.

Design: The SENDO project is an ongoing prospective dynamic cohort of Spanish children.

[Validation of the anthropometric data reported by parents of participants in the SENDO project].

Objective: to analyze the validity of self-reported somatometry data through a self-reported online questionnaire. Method: the SENDO project (Follow-up of Children for Optimal Development) is a prospective, dynamic pediatric cohort. Participants are recruited when they are between 4 and 6 years old, and followed annually through an online questionnaire.