Sociodemographic Variables, Symptomatic Severity, and Therapy Attendance: A Binary Regression Model
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 sam...
| Autores: | , , |
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| Formato: | artículo |
| Fecha de publicación: | 2024 |
| País: | España |
| Recursos: | Universidad a Distancia de Madrid (UDIMA) |
| Repositorio: | udiMundus. Repositorio Institucional de la Universidad a Distancia de Madrid |
| OAI Identifier: | oai:udimundus.udima.es:20.500.12226/2686 |
| Acesso em linha: | http://hdl.handle.net/20.500.12226/2686 |
| Access Level: | acceso abierto |
| Palavra-chave: | Inasistencia Psicoterapia Sociodemográfico Regresión |
| Resumo: | 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 |
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