Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6814833 | Psychiatry Research | 2014 | 7 Pages |
Abstract
Mood is a key element of Major Depressive Disorder (MDD), and is perceived as a highly dynamic construct. The aim of the current study was to examine whether a single-item mood scale can be used for mood monitoring. One hundred thirty remitted out-patients were assessed using the Structured Clinical Interview for DSM-IV Axis-I Disorders (SCID-I), Visual Analogue Mood Scale (VAMS), 17-item Hamilton Depression Rating Scale (HAM-D17), and Inventory of Depressive Symptomatology-Self Report (IDS-SR). Of all patients, 13.8% relapsed during follow-up assessments. Area under the curves (AUCs) for the VAMS, HAM-D17 and IDS-SR were 0.94, 0.91, and, 0.86, respectively. The VAMS had the highest positive predictive value (PPV) without any false negatives at score 55 (PPV=0.53; NPV=1.0) and was the best predictor of current relapse status (variance explained for VAMS: 60%; for HAM-D17: 49%; for IDS-SR: 34%). Only the HAM-D17 added significant variance to the model (7%). Assessing sad mood with a single-item mood scale seems to be a straightforward and patient-friendly avenue for life-long mood monitoring. Using a diagnostic interview (e.g., the SCID) in case of a positive screen is warranted. Repeated assessment of the VAMS using Ecological Momentary Assessment (EMA) might reduce false positives.
Related Topics
Life Sciences
Neuroscience
Biological Psychiatry
Authors
Gerard D. van Rijsbergen, Huibert Burger, Steven D. Hollon, Hermien J. Elgersma, Gemma D. Kok, Jack Dekker, Peter J. de Jong, Claudi L.H. Bockting,