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INTRODUCTION: Personality disorders (PDs) have been associated with a poor prognosis of Major Depressive Disorder (MDD). The aim of the current study was to examine cognitive vulnerability (i.e., dysfunctional beliefs, extremity of beliefs, cognitive reactivity, and rumination) that might contribute to this poor prognosis of patients with PD comorbidity.METHODS: 309 outpatients with remitted recurrent MDD (SCID-I; HAM-D17≤10) were included within two comparable RCTs and were assessed at baseline with the Personality Diagnostic Questionnaire-4(+) (PDQ-4(+)), the Dysfunctional Attitude Scale Version-A (DAS-A), the Leiden Index of Depression Sensitivity (LEIDS), the Ruminative Response Scale (RRS), and the Inventory of Depressive Symptomatology-Self Report (IDS-SR).RESULTS: We found an indication that the PD prevalence was 49.5% in this remitted recurrently depressed sample. Having a PD (and higher levels of personality pathology) was associated with dysfunctional beliefs, cognitive reactivity, and rumination. Extreme 'black and white thinking' on the DAS was not associated with personality pathology. Brooding was only associated with a Cluster C classification (t(308)=4.03, pLIMITATIONS: PDs were assessed by questionnaire and the analyses were cross-sectional in nature.CONCLUSION: Being the first study to examine cognitive reactivity and rumination in patients with PD and remitted MDD, we demonstrated that even after controlling for depressive symptomatology, dysfunctional beliefs, cognitive reactivity, and rumination were associated with personality pathology. Rumination might be a pathway to relapse for patients with avoidant PD. Replication of our findings concerning cognitive vulnerability and specific PDs is necessary.

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.

BACKGROUND: Major depressive disorder is an emotional disorder. It is important to improve our understanding of the role of affect in relapse/recurrence of depression. Therefore, this study examines whether affect plays a role in prospectively predicting depressive symptomatology and if there are indications for emotional scarring as a consequence of undergoing depressive episodes.METHODS: In 107 patients remitted from recurrent depression affect was examined in predicting depressive symptomatology as measured with the Inventory of Depressive Symptomatology - Self Report. Affect was measured with the Positive and Negative Affect Schedule and with a one item Visual Analogue Mood Scale. Indication of emotional scarring was examined by comparing number of previous depressive episodes to levels of affect.RESULTS: Less positive affect as assessed after remission predicted increased depressive symptomatology six months later, even after we controlled for baseline symptomatology. Negative affect also predicted depressive symptomatology six months later, but not after controlling for baseline depressive symptomatology. No relationship was found between affect and number of previous episodes.LIMITATIONS: All participants in this study had two or more previous depressive episodes and received CBT during the acute phase of their depression. The instruments that measured mood and affect were administered within 4 weeks of each other.CONCLUSIONS: Positive affect and negative affect as assessed after remission in recurrent depression can predict depressive symptomatology. Especially positive affect seems to play an independent role in predicting depressive symptomatology. Directly targeting positive affect in relapse prevention during remission might be a way to enhance treatment effects.

Background: Mixed evidence exists regarding the role of cognitive reactivity (CR; cognitive responsivity to a negative mood) as a risk factor for recurrences of depression. One explanation for the mixed evidence may lie in the number of previous depressive episodes. Heightened CR may be especially relevant as a risk factor for the development of multiple depressive episodes and less so for a single depressive episode. In addition, it is theoretically plausible but not yet tested that the relationship between CR and number of episodes is moderated by the strength of automatic depression-related self-associations.Aim: To investigate (i) the strength of CR in remitted depressed individuals with a history of a single vs. multiple episodes, and (ii) the potentially moderating role of automatic negative self-associations in the relationship between the number of episodes and CR.Method: Cross-sectional analysis of data obtained in a cohort study (Study 1) and during baseline assessments in two clinical trials (Study 2). Study 1 used data from the Netherlands Study of Depression and Anxiety (NESDA) and compared never-depressed participants (n=901) with remitted participants with either a single (n=336) or at least 2 previous episodes (n=273). Study 2 included only remitted participants with at least two previous episodes (n=273). The Leiden Index of Depression Sensitivity Revised (LEIDS-R) was used to index CR and an Implicit Association Test (IAT) to measure implicit self-associations.Results: In Study 1, remitted depressed participants with multiple episodes had significantly higher CR than those with a single or no previous episode. The remitted individuals with multiple episodes of Study 2 had even higher CR scores than those of Study 1. Within the group of individuals with multiple episodes, CR was not heightened as a function of the number of episodes, even if individual differences in automatic negative sell associations were taken into account. Limitations: The study employed a cross-sectional design, which precludes a firm conclusion with regard to the direction of this relationship.Conclusions: The findings are consistent with the view that high CR puts people at risk for recurrent depression and is less relevant for the development of an incidental depressive episode. This suggests that CR is an important target for interventions that aim to prevent the recurrence of depression. (C) 2015 Elsevier By. All rights reserved.

Depression is a chronic illness with a highly recurrent course, since relapse rates rise up to 90% after multiple previous episodes. In the Netherlands the costs originating from depression are high. The current treatment costs accumulate up to 660 million euro's, and the costs related to loss of productivity rise to 950 million euro's each year. The guidelines of the American Psychiatric Association advices therapists to continue treatment until a patient is completely symptom free, since residual symptoms are a known predictor of relapse. However, due to changes in financing the mental healthcare system therapists are stimulated to end treatment soon. By neglecting the risk of relapse, the current treatment of depression is a waste of money. Currently, the most used strategy to prevent relapse in depression is continuation of antidepressants after remission. However, most patients are not able or willing to continue antidepressants lifelong. Cognitive therapy has prophylactic effects beyond the acute phase of depression. Specific preventive cognitive therapy offered after remission, either in group format or via the internet could prove to be a cost-effective alternative for antidepressants in preventing relapse, since it has shown to prevent relapse in previous studies.