Neutrosophic fuzzy logic for assessing risk factors associated with obesity in adults and older adults

Abstract

Reducing obesity is crucial to improve quality of life and prevent chronic diseases. Obesity prevention contributes to the reduction of medical costs and increases productivity, thus improving the general well-being of society. The present research aims to develop a neutrosophic method to assess the risk factors associated with obesity in adults and older adults. The results obtained with the implementation of the neutrosophic method show the need to strengthen the perception of the risks associated with obesity in adults and older adults. The results reveal that 88% of older adults consume processed foods, and 82% tend to consume foods rich in fat, which contributes to the problem of obesity. 10% manage to drink 2 liters of water daily. After the implementation of the neutrosophic method, the urgent need to promote healthy eating and address eating habits as an integral part of the treatment and prevention of obesity-related diseases in this vulnerable population of the San Miguel market in Ecuador, taken as the object of study, is highlighted. The results include the identification of healthy practices to prevent obesity, the design of educational strategies that propose nutritional education, promotion of physical activity, access to healthy foods, and psychosocial support. These comprehensive measures can help prevent obesity and improve health in this vulnerable population, thus contributing to the prevention of obesity.