Identifying and Modeling Psychosocial Risk of Young Population in Large Latin American Cities by Using Shannon Entropy and Random Variable Distributions

Abstract

By taking into account the lifestyle of 306 young adults we use Shannon entropy in conjunction to random distributions to identify and model risk that is strongly dependent on psychosocial factors that would lead gradually to young university people to acquire both physiological and psychological risk fact that would be a problem of future burden in those developing countries whose social layers are essentially composed by young population. From a dataset we identify imminent risk linked to modern lifestyle that is featured by a social factors more than individual factors. The extracted information of the Shannon entropy is translated as the identification of certain groups of risk based on the definition of the normalized psychosocial risk. From the 306 students we identify that at least $25\pm 6$ are in potential risk to acquire non-transmissible diseases in the middle term.