MANUSCRIPT_ ENGLISH Qol coping

Demographic, behavioral, clinical, and laboratory data were described by absolute and relative frequencies, or by means and standard deviations according to their classification. Associations between the variables of interest and adherence were assessed using the Chi-square test. The comparison of continuous quantitative variables, such as quality of life and coping strategies, regarding the adherence, was obtained using the Student's t-test, if the distributions were symmetric, or the non-parametric Manny-Whitney test, if they were not. Normality was verified through the Kolmogorov-Smirnov test. The independent effect of the variables on adherence was evaluated through a multivariate logistic regression model by the Backward Stepwise RL method. It ran as input variables those with a p-value <0.20 in the univariate analysis. The adequacy of the model was verified by the Hosmer-Lemeshow test (p> 0.05). The results were presented as adjusted odds ratio (aj.OR), with their respective 95% confidence interval (95% CI). The definitive model was accepted after all adjustment criteria were met. We used univariate logistic regression to estimate the probability of the adherence variable may occur due to the pharmaceutical intervention. All analyzes were performed using the statistical program SPSS version 26 (IBM®), and the significance level was set at 5%.