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Summary: The prevalence of overweight and obesity has significantly increased over the past few decades and is linked to metabolic diseases across the lifespan. Its etiology has been attributed to a large number of sociodemographic, behavioral (e.g. unhealthy nutrition, low levels of physical activity), perinatal, and clinical risk factors, which are active already from childhood and adolescence. Still, their exact role, interplay, and mechanisms implicated in this process remain unclear. The trends of childhood obesity call for actions regarding the prevention and management of this disease early in life. The Special Issue "Childhood Obesity: Nutrition and Lifestyle Determinants, Prevention and Management" aims to host original articles, systematic reviews or meta- analyses that will advance the current knowledge on the role of health behaviors, especially of nutrition, on the development of overweight or obesity in childhood and adolescence, provide valuable information about the nutritional habits of overweight/obese children and adolescents, and describe novel approaches via lifestyle modification for the prevention or management of obesity in youth.

Summary: Population aging and the associated burden of chronic diseases are one of the main challenges in public health worldwide. This Research Topic on "Active Aging and Disease Management" provides a comprehensive overview of population aging through fourteen comprehensive papers. Chapter 1 discusses an overview of health systems in active and healthy aging, while Chapter 2 focuses on the role of lifestyles, exercise and new technologies. Chapter 3 debates psychological and cognitive issues in aging and finally in Chapter 4, an older people self assessment is proposed and the role of communities and supporters are highlighted. We think that real social and health care integration at community level could be the key point to deliver effective health promotion and preventive intervention. Enjoy the reading!

Summary: Nutritional epidemiology examines dietary or nutritional factors in relation to the occurrence of disease in various populations. It is a fact that substantial progress has been made in recent years in nutritional epidemiology. Compared to the practice during the 1990s, and with the improvements in data analytics, several new approaches are gaining ground. Results from a variety of large-scale studies in the field of nutrition epidemiology have substantially contributed toward the evidence used in guiding dietary recommendations for the prevention of cardiovascular diseases, metabolic disorders, some types of cancer, and other morbidities. In this Special Issue, we would like to bring readers closer to the state-of-the-art in the field by gathering papers covering different aspects of nutrition epidemiology from population-based observational studies. Topics of the submitted articles may, but not necessarily, include eating habits of various populations, especially of those not well-studied, such as in Africa, Oceania, South Americas, immigrants, minorities, as well as a variety of associations between nutrients/foods/food patterns and chronic diseases, like cardiovascular, diabetes, obesity, cancer, etc., and gene-nutrient and epigenome-nutrient interactions related to human health at all ages.

Summary: As computer and space technologies have been developed, geoscience information systems (GIS) and remote sensing (RS) technologies, which deal with the geospatial information, have been rapidly maturing. Moreover, over the last few decades, machine learning techniques including artificial neural network (ANN), deep learning, decision tree, and support vector machine (SVM) have been successfully applied to geospatial science and engineering research fields. The machine learning techniques have been widely applied to GIS and RS research fields and have recently produced valuable results in the areas of geoscience, environment, natural hazards, and natural resources. This book is a collection representing novel contributions detailing machine learning techniques as applied to geoscience information systems and remote sensing.

Summary: Growing evidence shows that a dietary pattern inspired by Mediterranean dietprinciples is associated with numerous health benefits. A Mediterranean-typediet has been demonstrated to exert a preventive effect toward cardiovasculardiseases, in both Mediterranean and non-Mediterranean populations. Part ofthese properties may depend on a positive action toward healthier metabolism,decreasing the risk of diabetes and metabolic-syndrome-related conditions.Some studies also suggested a potential role in preventing certain cancers. Finally,newer research has showed that a higher adherence to the Mediterranean diet isassociated with a lower risk of cognitive decline, depression, and other mentaldisorders. Overall, a better understanding of the key elements of this dietarypattern, the underlying mechanisms, and targets, are needed to corroboratecurrent evidence and provide insights on new and potential outcomes.ThisSpecial Issue welcomes original research and reviews of literature concerningthe Mediterranean diet and various health outcomes:Observational studies onestablished nutritional cohorts (preferred), case-control studies, or populationsample on the association with non-communicable diseases;Level of evidenceon the association with human health, including systematic reviews and metaanalyses;Evaluation of application of Mediterranean diet principles in non-Mediterranean countries;Description of mechanisms of action, pathways, andtargets at the molecular level, including interaction with gut microbiota.