Sociodemographic Variables, Symptomatic Severity, and Therapy Attendance: A Binary Regression Model

Abstract

Over time, the concept of health has evolved, focusing more on mental well-being. Despite this, pervasive prejudices remain to hinder therapy attendance. This study aimed to identify and assess factors influencing therapy attendance and the probability associated with non-attendance. Method: The sample comprised 753 participants (46.22% men, 53.78% women) aged 18-65 (M = 33.26; SD = 12.13). The evaluation was conducted online using an evaluation protocol that included an ad hoc sociodemographic questionnaire, the List of Brief Symptoms (LSB-50), and the Social Support Survey (MOS). Results: While sex and social support showed no significance, age, symptom severity, and family history of mental health problems emerged as relevant predictors, accounting for a 30.3% probability in therapy non-attendance prediction. Conclusions: With the variables indicated, the model explains approximately 30.3% of variability. However, it would be advisable to carry out studies at the national level that allow the conclusions to be extrapolated