Predictors of depression severity in a treatment-seeking sample

Abstract

Background/Objective: Depression is a common mental health disorder and an emerging public health concern. Few studies have investigated prevalence and predictors of depression severity in the Irish context. To investigate the relative contribution of known risk factors that predicts depression severity in a treatment-seeking sample of adults in Ireland. Method: As part of a randomised controlled trial of an internet-delivered intervention for depression participants (N = 641) completed online screening questionnaires including BDI-II and information associated with common predictors of depression. Results: The mean score on the BDI-II was 24.13 (SD = 11.20). Several factors were shown to predict greater severity of depression in the sample including female gender, younger age, unemployment, being single or partnered as opposed to married, previous diagnosis of depression, recent experience of life stressors. Alcohol use, recent losses, knowing a suicide completer, education level, type of employment and income level were not found to be significant. Conclusions: The study contributes to the profiling of the incidence and predictors of severity of depression in an Irish context. The results confirm some of the known risk factors and highlight the need for further research to be carried out on screening for depression and increasing access to interventions.