Food consumption habits, gestational age and birth weight are predictive for children with excess weight: An analysis based on artificial neural network.

The relationship between body weight gain and the onset of obesity is linked to environmental and behavioral factors, and may be dependent on biological predisposing. Artificial neural networks are useful predictive tools in the field of artificial intelligence, and can be used to identify risk factors related to obesity. The aim of this study is to establish, based on artificial neural networks, a predictive model for overweight/obesity in children based on the recognition and selection of patterns associated with birth weight, gestational age, height deficit, food consumption, and the physical activity level, TV time and family context.

Daily consumption of ultra-processed foods and cardiometabolic risk factors in children aged 7 to 10 years in Northeast Brazil.

Ultra-processed foods (UPFs) consumption is associated with pediatric overweight and obesity. To evaluate the UPFs consumption in children classified either as eutrophic or with excess weight (overweight and obesity). It was also described the fasting plasma glucose, total cholesterol (TC), triglycerides (TG), high-density lipoprotein (HDL) and low-density lipoprotein (LDL) and the correlation between UPFs consumption and cardiometabolic risk factors.

Can the Consumption of Ultra-Processed Food Be Associated with Anthropometric Indicators of Obesity and Blood Pressure in Children 7 to 10 Years Old?

The consumption of ultra-processed foods plays an important role in the development of obesity and hypertension. The present study investigated the association between consumption of food according to the degree of processing and anthropometric indicators of obesity and blood pressure in children. This is a cross-sectional study with 164 children aged 7-10 years.

Correlation between quality of life and physical activity level of professionals of the Family Health Support Center (NASF).

Introduction: Currently, health workers have been living with a high workload, resulting in increased service activities and decreased physical activity, affecting their quality of life. Physical activity is a fundamental aspect of the improvement of motor skills and work performance, allowing a healthy lifestyle.

Objective: To verify the correlation between the quality of life and physical activity of family health support professionals.

The mediation effect of anthropometry and physical fitness on the relationship between birthweight and basal metabolic rate in children.

Background: Birthweight (BW) has been associated with anthropometry, body composition and physical fitness during growth and development of children. However, less is known about the mediation effect of those variables on the relationship between BW and basal metabolic rate (BMR) in children.

Objective: To analyse the mediation effect of anthropometry, body composition and physical fitness on the association between BW and BMR in children.