mHealth Platform and Architectures to Provide Nutritional Guidance to Children

Obesity and eating disorders in children are major problems worldwide. To promote their future well-being, it is important to educate children and teenagers about healthy lifestyle choices. Mobile technology offers many opportunities for helping to prevent health problems; however, the sole use of stand-alone applications is insufficient to improve childrenâ??s health awareness because children require proper orientation from adults. In this paper, we present a mobile platform intended to provide nutrition guidance to children and architectures for implementing this platform in an elementary school environment. These architectures provide data capturing and user interfaces that are especially suited for children, and they permit adults to send and receive notifications and messages to improve results

Smart Device-Based Notifications to Promote Healthy Behavior Related to Childhood Obesity and Overweight

Obesity is one of the most serious public health challenges of the 21st century and it is a threat to the life of people according to World Health Organization. In this scenario, family environment is important to establish healthy habits which help to reduce levels of obesity and control overweight in children. However, little efforts have been focused on helping parents to promote and have healthy lifestyles. In this paper, we present two smart device-based notification prototypes to promote healthy behavior with the aim of avoiding childhood overweight and obesity. The first prototype helps parents to follow a healthy snack routine, based on a nutritionist suggestion. Using a fridge magnet, parents receive graphical reminders of which snacks they and their children should consume. The second prototype provides a graphical reminder that prevents parents from forgetting the required equipment to practice sports. Prototypes were evaluated by nine nutritionists from three countries (Costa Rica, Mexico and Spain). Evaluations were based on anticipation of use and the ergonomics of human–system interaction according to the ISO 9241-210. Results show that the system is considered useful. Even though they might not be willing to use the system, they would recommend it to their patients. Based on the ISO 9241-210 the best ranked features were the system’s comprehensibility, the perceived effectiveness and clarity. The worst ranked features were the system’s suitability for learning and its discriminability