Sistema IoT de avaliação e intervenção nutricional para detecção de sobrepeso e obesidade em crianças e adolescentes

Abstract

Obesity is defined as excess body fat, above the ideal levels for good health. Although obesity is a public health problem that affects several age groups, it is among children and adolescents that it plays a more important role, due to the complexity of the treatment, high probability of persistence in adulthood and association with other non-communicable diseases, yet in age pediatric. The increasing prevalence of overweight and obesity in children worldwide is a critical public health problem that has encouraged governments to consider different strategies to reduce obesity in the population. While technological advances can have some negative health effects, the new technology also has the potential to improve health. The Internet of Things (loT) can provide a useful tool to achieve this need. The objective of this research was to create and validate a system model developed for nutritional intervention using the IoT network, to assess overweight and obesity in children and adolescents and promote healthy eating behaviors. This study had as target population children and adolescents at nutritional risk of overweight and obesity. The study had a technological, experimental, qualitative, descriptive, analytical and exploratory character, being divided into five stages. The first step was the development of the HANIoT platform. The second step was the technical scientific study of the research variables. During the third stage, there was the development of the Android APP and APP WEB (DASHBOARD) system. The fourth stage comprised the development of the pilot study and intervention. Finally, in the fifth stage, a questionnaire was applied for descriptive analysis of the research. With the analysis of the results, it was identified that the system has great potential as an instrument for the prevention and intervention of childhood obesity, in addition to being considered a different strategy with the technological resources for the evaluation of the pathology involved, real-time monitoring, storage of data, privacy and patient safety.