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Animal Models of Depression - Chronic Despair Model (CDM)
Published on: September 23, 2021
Can a one-item mood scale do the trick? Predicting relapse over 5.5-years in recurrent depression
Gerard D van Rijsbergen1, Claudi L H Bockting, Matthias Berking
1Department of Clinical Psychology, University of Groningen, Groningen, The Netherlands.
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.
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