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Predictors of depression severity in a treatment-seeking sample

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 seve...

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Autores principales: Richards, Derek, Richardson, Thomas, Timulak, Ladislav, Viganò, Noemi, Mooney, Jacqueline, Doherty, Gavin, Hayes, Claire, Sharry, John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Asociacion Espanola de Psicologia Conductual 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6225048/
https://www.ncbi.nlm.nih.gov/pubmed/30487865
http://dx.doi.org/10.1016/j.ijchp.2016.02.001
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author Richards, Derek
Richardson, Thomas
Timulak, Ladislav
Viganò, Noemi
Mooney, Jacqueline
Doherty, Gavin
Hayes, Claire
Sharry, John
author_facet Richards, Derek
Richardson, Thomas
Timulak, Ladislav
Viganò, Noemi
Mooney, Jacqueline
Doherty, Gavin
Hayes, Claire
Sharry, John
author_sort Richards, Derek
collection PubMed
description 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.
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spelling pubmed-62250482018-11-28 Predictors of depression severity in a treatment-seeking sample Richards, Derek Richardson, Thomas Timulak, Ladislav Viganò, Noemi Mooney, Jacqueline Doherty, Gavin Hayes, Claire Sharry, John Int J Clin Health Psychol Original article 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. Asociacion Espanola de Psicologia Conductual 2016 2016-03-27 /pmc/articles/PMC6225048/ /pubmed/30487865 http://dx.doi.org/10.1016/j.ijchp.2016.02.001 Text en © 2016 Asociación Española de Psicología Conductual. Published by Elsevier España, S.L.U. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original article
Richards, Derek
Richardson, Thomas
Timulak, Ladislav
Viganò, Noemi
Mooney, Jacqueline
Doherty, Gavin
Hayes, Claire
Sharry, John
Predictors of depression severity in a treatment-seeking sample
title Predictors of depression severity in a treatment-seeking sample
title_full Predictors of depression severity in a treatment-seeking sample
title_fullStr Predictors of depression severity in a treatment-seeking sample
title_full_unstemmed Predictors of depression severity in a treatment-seeking sample
title_short Predictors of depression severity in a treatment-seeking sample
title_sort predictors of depression severity in a treatment-seeking sample
topic Original article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6225048/
https://www.ncbi.nlm.nih.gov/pubmed/30487865
http://dx.doi.org/10.1016/j.ijchp.2016.02.001
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