Major areas of interest of artificial intelligence research applied to health care administrative data: a scoping review.

The ongoing collection of large medical data has created conditions for application of artificial intelligence (AI) in research. This scoping review aimed to identify major areas of interest of AI applied to health care administrative data. The search was performed in seven databases: Medline, Embase, CINAHL, Web of science, IEEE, ICM digital library, and Compendex.

Dietary calcium intake and adiposity in children and adolescents: Cross-sectional and longitudinal results from IDEFICS/I.Family cohort.

Background And Aims: Studies in children and adolescents suggest that higher dairy consumption may exert a protective effect on adiposity. However, only few studies examined the association between dietary calcium intake and body mass measures with conflicting results. We evaluated the association between total dietary calcium, calcium from dairy and non-dairy sources and anthropometric indices in a large European cohort of children and adolescents.

Sleep duration and blood pressure in children: Analysis of the pan-European IDEFICS cohort.

The present study aims to examine the cross-sectional and longitudinal association between self-reported nocturnal sleep duration, blood pressure, and hypertension in European children, aged 2-9.9 years, participating in the IDEFICS project. Blood pressure (BP) and the main anthropometric indices were measured according to standardized procedures.

Physical activity, adiposity and urbanization level in children: results for the Italian cohort of the IDEFICS study.

Objectives: While there is extensive evidence about the influence of environmental factors on adult obesity, fewer studies have assessed how the environment influences body fat in children. This cross-sectional study investigated the distribution of adiposity indices according to urbanization level and patterns of physical activity among children in the Italian cohort of the IDEFICS study.

Methods: The sample included 1673 preschool and school-aged children (mean age 6.

Being macrosomic at birth is an independent predictor of overweight in children: results from the IDEFICS study.

Fetal macrosomia is a risk factor for the development of obesity late in childhood. We retrospectively evaluated the relationship between maternal conditions associated with fetal macrosomia and actual overweight/obesity in the European cohort of children participating in the IDEFICS study. Anthropometric variables, blood pressure and plasma lipids and glucose were measured.