Novel e-Health Applications for the Management of Cardiometabolic Risk Factors in Children and Adolescents in Greece

• Published in: Nutrients Vol. 12; no. 5; p. 1380
• Main Authors: Tragomalou, Athanasia, Moschonis, George, Manios, Yannis, Kassari, Penio, Ioakimidis, Ioannis, Diou, Christos, Stefanopoulos, Leandros, Lekka, Eirini, Maglaveras, Nicos, Delopoulos, Anastasios, Charmandari, Evangelia
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI 12.05.2020
• Subjects: administrative management; adolescence; Adolescent; adolescents; algorithms; artificial intelligence; body mass index; Cardiometabolic Risk Factors; Child; childhood obesity; children; communications technology; decision support systems; Decision Support Techniques; environment; Female; General Practice - methods; general practitioners; global positioning systems; Greece; Humans; information; information systems; lifestyle; Male; Mobile Applications; nutrients; nutrition; Pediatric Obesity; pediatricians; Pediatrics - methods; precision; Precision Medicine - methods; Review; risk factors; telemedicine; Telemedicine - methods; Greece; algorithms; cardiometabolic risk factors; Pedobesity; childhood obesity; registries; big data; e-Health
• ISSN: 2072-6643; 2072-6643
• DOI: 10.3390/nu12051380

Obesity in childhood and adolescence represents a major health problem. Novel e-Health technologies have been developed in order to provide a comprehensive and personalized plan of action for the prevention and management of overweight and obesity in childhood and adolescence. We used information and communication technologies to develop a “National Registry for the Prevention and Management of Overweight and Obesity” in order to register online children and adolescents nationwide, and to guide pediatricians and general practitioners regarding the management of overweight or obese subjects. Furthermore, intelligent multi-level information systems and specialized artificial intelligence algorithms are being developed with a view to offering precision and personalized medical management to obese or overweight subjects. Moreover, the Big Data against Childhood Obesity platform records behavioral data objectively by using inertial sensors and Global Positioning System (GPS) and combines them with data of the environment, in order to assess the full contextual framework that is associated with increased body mass index (BMI). Finally, a computerized decision-support tool was developed to assist pediatric health care professionals in delivering personalized nutrition and lifestyle optimization advice to overweight or obese children and their families. These e-Health applications are expected to play an important role in the management of overweight and obesity in childhood and adolescence.