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Can a One-Item Mood Scale Do the Trick? Predicting Relapse over 5.5-Years in Recurrent Depression
BACKGROUND: To examine whether a simple Visual Analogue Mood Scale (VAMS) is able to predict time to relapse over 5.5-years. METHODOLOGY/PRINCIPAL FINDINGS: 187 remitted recurrently depressed out-patients were interviewed using the Structured Clinical Interview for DSM-IV Axis I Disorders (SCID-I) a...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3463530/ https://www.ncbi.nlm.nih.gov/pubmed/23056456 http://dx.doi.org/10.1371/journal.pone.0046796 |
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author | van Rijsbergen, Gerard D. Bockting, Claudi L. H. Berking, Matthias Koeter, Maarten W. J. Schene, Aart H. |
author_facet | van Rijsbergen, Gerard D. Bockting, Claudi L. H. Berking, Matthias Koeter, Maarten W. J. Schene, Aart H. |
author_sort | van Rijsbergen, Gerard D. |
collection | PubMed |
description | BACKGROUND: To examine whether a simple Visual Analogue Mood Scale (VAMS) is able to predict time to relapse over 5.5-years. METHODOLOGY/PRINCIPAL FINDINGS: 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. CONCLUSIONS/SIGNIFICANCE: 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. TRIAL REGISTRATION: International Standard Randomized Controlled Trial Register Identifier: ISRCTN68246470. |
format | Online Article Text |
id | pubmed-3463530 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-34635302012-10-09 Can a One-Item Mood Scale Do the Trick? Predicting Relapse over 5.5-Years in Recurrent Depression van Rijsbergen, Gerard D. Bockting, Claudi L. H. Berking, Matthias Koeter, Maarten W. J. Schene, Aart H. PLoS One Research Article BACKGROUND: To examine whether a simple Visual Analogue Mood Scale (VAMS) is able to predict time to relapse over 5.5-years. METHODOLOGY/PRINCIPAL FINDINGS: 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. CONCLUSIONS/SIGNIFICANCE: 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. TRIAL REGISTRATION: International Standard Randomized Controlled Trial Register Identifier: ISRCTN68246470. Public Library of Science 2012-10-03 /pmc/articles/PMC3463530/ /pubmed/23056456 http://dx.doi.org/10.1371/journal.pone.0046796 Text en © 2012 van Rijsbergen et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article van Rijsbergen, Gerard D. Bockting, Claudi L. H. Berking, Matthias Koeter, Maarten W. J. Schene, Aart H. Can a One-Item Mood Scale Do the Trick? Predicting Relapse over 5.5-Years in Recurrent Depression |
title | 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_short | 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 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3463530/ https://www.ncbi.nlm.nih.gov/pubmed/23056456 http://dx.doi.org/10.1371/journal.pone.0046796 |
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