Analysis of depression from a lifestyle approach

Cortez Gutiérrez H.Ó.; Cortez Gutiérrez M.M. · European Public and Social Innovation Review (2025) · DOI: 10.31637/epsir-2025-1103

Resumen

Introduction: The study analyzes the relationship between depression and lifestyle in university students, considering variables such as age and gender. It aimed to determine the effect of lifestyle on depression using Odds Ratio (OR) and a 95% confidence interval (CI). Methodology: A correlational design was used, segmenting data by gender and age. Multiple linear regression with dummy data, Binary logistic regression, chi-square and Fisher tests were employed with SPSS. OR and CI were calculated to quantify risks, and ROC curves were used to evaluate the models. Results: The chi-square test found no significant association between lifestyle and depression (χ² = 0.08, p = 0.7). Binary logistic regression also showed no significant relationship between lifestyle and depression (B =-0.04, p = 0.475). Discussion: The analysis found no significant relationship between lifestyle and depression. The application of multiple linear regression that includes gender does discriminate the difference in mental load. Conclusions: The study concludes that although lifestyle did not show a significant association with depression, logistic regression and ROC curves were useful for evaluating risk factors. There is a statistically significant difference in mental load scores according to gender in the group of working students. The male gender has a greater mental workload.

Instituciones: Universidad Nacional de Trujillo; Universidad Nacional del Callao