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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.

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BackgroundThe assessment of functioning and disability is an important part of the clinical evaluation, since it measures disease burden and reflects the effectiveness of therapeutic planning and interventions. The aim of the current study was to develop such a self-report instrument on the basis of a review of the literature, and compatible with the WHO approach.Material and methodsThe review of the literature led to the development of the Global Disability Scale (Glo.Di.S) with 25 items assessing different aspects of disability. The study sample included 728 persons from vulnerable populations (homeless, jobless, very low income, single parent families etc.; (29.12% males and 70.88% females; aged 55.96 ± 15.22 years). The protocol included also the STAI and the CES-D. The statistical analysis included factor analysis item analysis and ANCOVA.ResultsThe factor analysis revealed the presence of 4 factors explaining 71% of total variance (Everyday functioning, Social and interpersonal functioning, Severity and Mental disability). Chronbach’s alpha for the whole scale was 0.95 and for subscales were 0.74–0.94.DiscussionThe results of the current study suggest that the Glo.Di.S. has the potential to serve as a reliable and valid tool for assessing functioning and disability. Further research is needed to prove that it could be useful across countries, populations and diseases, and whether it provides data that are culturally meaningful and comparable. It can be used in surveys and in clinical research settings and it can generate information of use in evaluating health needs and the effectiveness of interventions to reduce disability and improve health.

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