Modelo matemático para la predicción de obesidad en estudiantes de la Universitaria Agustiniana a través de la dermatoglifia dactilar

Abstract

The main objective of this project is to design a mathematical model based on fingerprint dermatoglyphics to anticipate the probability of obesity in students at the Agustiniana University, due to the increase that has been generated worldwide over the years. Finger dermatoglyphics, which studies the patterns of ridges and figures in fingerprints, have been linked to genetic characteristics and medical conditions. Dermatoglyphics, body mass index (BMI) and body fat percentage (%FAT) data were collected from the students of the Universitaria Agustiniana through data collection sessions. These data were used to develop a model using Statgraphics software, employing statistical analysis and mathematical modeling techniques. Where two mathematical models were implemented using multiple regression and simple linear regression to analyze the variables of body mass index (BMI) and body fat percentage (% FAT). These models are intended to be an early detection tool to identify students at risk of developing obesity. Which could facilitate the implementation of preventive and public health interventions within the university community.