Can a one-item mood scale do the trick? Predicting relapse over 5.5-years in recurrent depression.
<h4>Background</h4>To examine whether a simple Visual Analogue Mood Scale (VAMS) is able to predict time to relapse over 5.5-years.<h4>Methodology/principal findings</h4>187 remitted recurrently depressed out-patients were interviewed using the Structured Clinical Interview f...
Guardado en:
Autores principales: | , , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2012
|
Materias: | |
Acceso en línea: | https://doaj.org/article/e9c5a022427c49a3a350a73ae48bdb5f |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:e9c5a022427c49a3a350a73ae48bdb5f |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:e9c5a022427c49a3a350a73ae48bdb5f2021-11-18T08:13:18ZCan a one-item mood scale do the trick? Predicting relapse over 5.5-years in recurrent depression.1932-620310.1371/journal.pone.0046796https://doaj.org/article/e9c5a022427c49a3a350a73ae48bdb5f2012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23056456/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Background</h4>To examine whether a simple Visual Analogue Mood Scale (VAMS) is able to predict time to relapse over 5.5-years.<h4>Methodology/principal findings</h4>187 remitted recurrently depressed out-patients were interviewed using the Structured Clinical Interview for DSM-IV Axis I Disorders (SCID-I) and the 17-item Hamilton Depression rating scale (HAM-D) to verify remission status (HAM-D <10). All patients rated their current mood with the help of a Visual Analogue Mood Scale (VAMS) at baseline and at a follow-up assessment three months later. Relapse over 5.5-years was assessed by the SCID-I. Cox regression revealed that both the VAMS at baseline and three months later significantly predicted time to relapse over 5.5-years. Baseline VAMS even predicted time to relapse when the number of previous depressive episodes and HAM-D scores were controlled for. The baseline VAMS explained 6.3% of variance in time to relapse, comparable to the HAM-D interview.<h4>Conclusions/significance</h4>Sad mood after remission appears to play a pivotal role in the course of depression. Since a simple VAMS predicted time to relapse, the VAMS might be an easy and time-effective way to monitor mood and risk of early relapse, and offers possibilities for daily monitoring using e-mail and SMS.<h4>Trial registration</h4>International Standard Randomized Controlled Trial Register Identifier: ISRCTN68246470.Gerard D van RijsbergenClaudi L H BocktingMatthias BerkingMaarten W J KoeterAart H SchenePublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 10, p e46796 (2012) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
Medicine R Science Q |
spellingShingle |
Medicine R Science Q Gerard D van Rijsbergen Claudi L H Bockting Matthias Berking Maarten W J Koeter Aart H Schene Can a one-item mood scale do the trick? Predicting relapse over 5.5-years in recurrent depression. |
description |
<h4>Background</h4>To examine whether a simple Visual Analogue Mood Scale (VAMS) is able to predict time to relapse over 5.5-years.<h4>Methodology/principal findings</h4>187 remitted recurrently depressed out-patients were interviewed using the Structured Clinical Interview for DSM-IV Axis I Disorders (SCID-I) and the 17-item Hamilton Depression rating scale (HAM-D) to verify remission status (HAM-D <10). All patients rated their current mood with the help of a Visual Analogue Mood Scale (VAMS) at baseline and at a follow-up assessment three months later. Relapse over 5.5-years was assessed by the SCID-I. Cox regression revealed that both the VAMS at baseline and three months later significantly predicted time to relapse over 5.5-years. Baseline VAMS even predicted time to relapse when the number of previous depressive episodes and HAM-D scores were controlled for. The baseline VAMS explained 6.3% of variance in time to relapse, comparable to the HAM-D interview.<h4>Conclusions/significance</h4>Sad mood after remission appears to play a pivotal role in the course of depression. Since a simple VAMS predicted time to relapse, the VAMS might be an easy and time-effective way to monitor mood and risk of early relapse, and offers possibilities for daily monitoring using e-mail and SMS.<h4>Trial registration</h4>International Standard Randomized Controlled Trial Register Identifier: ISRCTN68246470. |
format |
article |
author |
Gerard D van Rijsbergen Claudi L H Bockting Matthias Berking Maarten W J Koeter Aart H Schene |
author_facet |
Gerard D van Rijsbergen Claudi L H Bockting Matthias Berking Maarten W J Koeter Aart H Schene |
author_sort |
Gerard D van Rijsbergen |
title |
Can a one-item mood scale do the trick? Predicting relapse over 5.5-years in recurrent depression. |
title_short |
Can a one-item mood scale do the trick? Predicting relapse over 5.5-years in recurrent depression. |
title_full |
Can a one-item mood scale do the trick? Predicting relapse over 5.5-years in recurrent depression. |
title_fullStr |
Can a one-item mood scale do the trick? Predicting relapse over 5.5-years in recurrent depression. |
title_full_unstemmed |
Can a one-item mood scale do the trick? Predicting relapse over 5.5-years in recurrent depression. |
title_sort |
can a one-item mood scale do the trick? predicting relapse over 5.5-years in recurrent depression. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2012 |
url |
https://doaj.org/article/e9c5a022427c49a3a350a73ae48bdb5f |
work_keys_str_mv |
AT gerarddvanrijsbergen canaoneitemmoodscaledothetrickpredictingrelapseover55yearsinrecurrentdepression AT claudilhbockting canaoneitemmoodscaledothetrickpredictingrelapseover55yearsinrecurrentdepression AT matthiasberking canaoneitemmoodscaledothetrickpredictingrelapseover55yearsinrecurrentdepression AT maartenwjkoeter canaoneitemmoodscaledothetrickpredictingrelapseover55yearsinrecurrentdepression AT aarthschene canaoneitemmoodscaledothetrickpredictingrelapseover55yearsinrecurrentdepression |
_version_ |
1718422080321486848 |