Publications by authors named "Emanuela Ferrara"
Introduction: Eating Disorders (EDs) affect individuals globally and are associated with significant physical and mental health challenges. However, access to adequate treatment is often hindered by societal stigma, limited awareness, and resource constraints.
Methods: The project aims to utilize the power of Artificial Intelligence (AI), particularly Machine Learning (ML) and Deep Learning (DL), to improve EDs diagnosis and treatment.
Objective: The purpose of this study is to assess the increase both in the use of the Internet and social media and in Google searches regarding eating disorders (ED) in Italy during the Covid-19 pandemic. Our aim is also to verify the possible impact of such an increase on ED, since patients treated for ED by the National Health Service (NHS) have increased in the first 6 months of 2020 as well.
Method: We used data from Wearesocial surveys on Internet users in the first 6 months of 2020 and the Google searches related to the query of "food disorders" and "body shaming.
Purpose: Over the last decades, the prevalence of overweight and obesity in elementary school children has steadily increased worldwide. This phenomenon is also linked to food habits. The main purpose of our study was to understand the role that environmental factors may play in this context; in particular, we investigated how and to what extent family food habits and children lifestyle are associated with the spread of children obesity.
View Article and Find Full Text PDFAims: The study aims to assess the prevalence of obesity, overweight and underweight in children enrolled in government primary schools (6-11 years of age) in the city of Milan, Italy.
Methods: One hundred and nine schools were randomly selected for the study. A cross-sectional study was conducted between March and June 2008.