Unhealthy diets, physical inactivity and high body mass index (BMI) are preventable risk factors for non-communicable diseases throughout a person’s lifespan. The higher prevalence of these risk factors in children from lower socio-economic groups has been generally observed. The aim of this study is to explore the effect of parents’ socio-economic conditions on children’s consumption of fruit, vegetables and sugar-sweetened drinks, and inactivity, sedentary behaviour, overweight and obesity. This study used data from the sixth cross-sectional survey of the surveillance “OKkio alla Salute” (Italian COSI), involving 2467 schools and 53,275 children in 2019. All the information was collected through four questionnaires addressed to parents, children, teachers and head teachers. The weights and heights of the children were measured with standard techniques and equipment to classify overweight/obesity according to the WOF-IOTF cut-offs. The results showed a high percentage of children who do not adhere to health recommendations and a high prevalence of overweight and obesity. In particular, “less healthy” behaviours and higher BMI were more frequent in children from families with a lower socio-economic status and those residing in Southern Italy. These findings highlight the need for effective interventions that address the differences in these health-related behaviours.

Aim: In this article, we aim to present a tool for the early assessment of medical technologies. This evaluation system was designed and implemented by the National Centre for HTA and the National Centre for Innovative Technologies of the Istituto Superiore di Sanita, Italy, in order to respond to an institutional commitment within the “Health Technologies Assessment Team” that was established to face the huge demand for the evaluation of Health Technologies during the pandemic event caused by COVID-19, with a smart and easy-to-use framework. Methods: Horizon scanning was conducted through a brief assessment carried out according to the multicriteria decision analysis methodology. Each HTA domain was attributed a score according to a pros/cons and opportunities/threats system, derived from evidence in the literature. Scores were weighted according to different perspectives. Scores were presented in a Cartesian graph showing the positioning according to the potential value and the perceived risk associated with the technology. Results: Two case studies regarding the early assessment were reported, concerning two specific technologies: an individual protection device and a contact tracking system.

Eating breakfast daily improves cognitive function, may contribute to learning and academic performance in children and can decrease the risk of childhood obesity. The aim of this study was to analyse how breakfast consumption changed in the period from 2008/9 to 2019 in Italy among children aged 8–9 years old participating in the OKkio alla SALUTE surveys and to explore the associations with some socio-demographic and lifestyle factors. Information about children’s daily breakfast consumption (adequate, inadequate, and no breakfast) and the socio-demographic characteristics of the children and their mothers was collected through four questionnaires addressed to parents, children, teachers and head teachers. Data were analysed for the 272,781 children from 21 Italian regions from 2008/9 to 2019. The prevalence of adequate breakfast decreased from 60.7% in 2008/9 to 55.7% in 2019 and no breakfast from 10.9 to 8.7%; conversely, inadequate breakfast increased from 28.4 to 35.6%. Logistic regression models showed that the occurrence of inadequate or no breakfast consumption was significantly higher among girls, children living in the southern regions and children with less educated mothers. These findings highlight the need for effective interventions to increase daily breakfast consumption and its adequacy among children.