Identification of depressive sympotomatology in people with type II Diabetes

Abstract

The aim of this work it's the identification of depressive symptomatology in people with type II diabetes. Among the literature, associations have been found between both, even considering depression as a possible risk identifier for developing Diabetes Mellitus. Due to this need to identify factors that affect depressive symptomatology in the population with diabetes, we sought to develop a classification model to determine which factors affect the aggravation of this psychological problem, and subsequently confirm these results using logistic regression models and cross-validation. A non-experimental cross-sectional research design was used. Using a non-probabilistic sampling by convenience, we worked with 200 people and found various factors that influenced depressive symptomatology in people with diabetes, according to the degree of depression, with negative attitudes towards oneself being a decisive factor in establishing the type of diagnosis. In this sense, for "Normal" depressive symptomatology, the most important factor was Impairment of performance; for "Mild" symptomatology, somatic alterations were observed; for "Moderate" symptomatology, sleep disturbances; and for "Severe" depressive symptomatology, the most notable somatic alterations were observed. It is argued the need to establish filters between "Normal" depressive symptomatology and those that could be an obstacle to achieve good adherence to treatment, considering contextual and biological aspects, the last in terms of brain activation.