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A paradigm was developed to experimentally investigate the dysregulation of affective reactivity in clinical depression. The literature so far reported evidence for three directions of dysregulation - negative potentiation, positive attenuation, and emotion context insensitivity. Therefore a paradigm was designed to allow to test all three hypotheses simultaneously. Furthermore, to enable generalization across the specific stimuli used in the experiment, stimuli of two sensory modalities were used - pictures and sounds. Because it was hypothesized, that the specificity of affective reactivity of depressed patients will be especially prominent in long lasting affective situations, a categorically blocked presentation mode was chosen. Regarding the dependent variables, a multimethod approach was conducted. Besides self-report ratings of the feeling state, startle responses, skin conductance responses, heart rate, and the electromyogram of the corrugator and zygomatic muscle were recorded. In a separate session, BOLD-responses during picture viewing were collected by functional magnetic resonance imaging (fMRI). Both sessions were conducted with three samples: a healthy student sample, a depressed outpatient sample, and a healthy age and gender matched control sample. The results of the patient sample support an integration of the emotion context insensitivity and the negative potentiation hypothesis. Patients reported generally to feel more unpleasant and more aroused than healthy controls. Skin conductance and startle responses were modulated by valence to a smaller degree in the patients than in the controls. No group differences were found in the facial muscle activity. BOLD-responses were potentiated during unpleasant compared to neutral pictures in the patient but not in the control group in the amygdala, the insular cortex and the orbito frontal cortex. A model to integrate these results is developed. Its central assumption is, that the inability to respond to affective stimuli is an aversive experience and therefore leads to a negativity bias in attention and cognition. Direction of further research and implications for psychotherapies are discussed.
Background
Signs of an inflammatory process have been described in major depression.
Methods
In a double-blind, randomized study of celecoxib or placebo add-on to reboxetine in 40 depressed patients, celecoxib treatment has beneficial effects. In order to evaluate the tryptophan/kynurenine metabolism and to identify predictors for remission, tryptophan (TRP), kynurenine (KYN), kynurenic acid (KYNA), and quinolinic acid (QUIN) were estimated in the serum of 32 patients before and after treatment and in a group of 20 healthy controls.
Results
KYN levels were significantly lower in patients (p = 0.008), and the QUIN/KYN ratios were significantly higher (p = 0.028). At baseline, the higher KYN/TRP ratio was predictive for remission during celecoxib add-on treatment (p = 0.04) as well as for remission in the overall patient group (p = 0.01). In the placebo group, remitters showed a higher KYNA/QUIN ratio (p = 0.032). In the overall group, remitters showed lower KYNA/KYN (p = 0.035) and QUIN/KYN (p = 0.011) ratios. The lower the formation of downstream metabolites, especially QUIN, the better the treatment outcome.
Conclusion
The high KYN/TRP ratio predicted remission after treatment with celecoxib in this small sample of depressed patients. Eventually, the KYN/TRP ratio might be a marker for those patients, which benefit from an additional anti-inflammatory treatment.
Despite major research interest regarding gender differences in emotion regulation, it is still not clear whether men and women differ in their basic capacity to implement specific emotion regulation strategies, as opposed to indications of the habitual use of these strategies in self-reports. Similarly, little is known on how such basic capacities relate to indices of well-being in both sexes. This study took a novel approach by investigating gender differences in the capacity for generating cognitive reappraisals in adverse situations in a sample of 67 female and 59 male students, using a maximum performance test of the inventiveness in generating reappraisals. Participants’ self-perceived efficacy in emotion regulation was additionally assessed. Analyses showed that men and women did not differ in their basic capacity to generate alternative appraisals for anxiety-eliciting scenarios, suggesting similar functional cognitive mechanisms in the implementation of this strategy. Yet, higher cognitive reappraisal capacity predicted fewer depressive daily-life experiences in men only. These findings suggest that in the case of cognitive reappraisal, benefits for well-being in women might depend on a more complex combination of basic ability, habits, and efficacy-beliefs, along with the use of other emotion regulation strategies. The results of this study may have useful implications for psychotherapy research and practice.
Background: Depressive disorders are highly prevalent and disabling diseases. Epidemiological studies have shown that they often co-occur with addictive behaviors, which in part might be explained by common risk factors. Rumination might be such a risk factor. Comorbidity can have substantial adverse effects for those affected. Thus, combined treatment approaches are needed. These should not be restricted to individuals with clinical disorders. In light of an apparent treatment gap, new treatment approaches that provide widespread access to evidence-based treatments need to be explored. In recent years, e-health interventions received a lot of attention. With their potential to be widely disseminated, they might be suitable to provide population-based intervention approaches. Developing population-based interventions might present special challenges to intervention developers, for example, in terms of intervention design or the selection of samples to preliminary test interventions. This thesis explored the application of e-health interventions in the treatment and prevention of depressive symptoms and addictive behaviors. Its first aim was to provide an overview on publicly accessible evidence-based e-health interventions for the treatment and prevention of depressive symptoms (study 1). The second aim was to test the feasibility, acceptability and potential effectiveness of a newly developed computer-based expert system intervention simultaneously targeting hazardous alcohol consumption and depressive symptoms and to investigate the importance of the sample selection when preliminary testing interventions (study 2). The third aim was to further investigate rumination with its subfactors brooding and reflection as a common cause of depression and addictive behaviors and thus as a potential target for combined interventions by analyzing its associations with symptoms of pathological gambling (SPGs; study 3).
Methods: This thesis provides a summary of different working steps in the process of developing and testing a computer-based intervention for health care patients (HCPs) with comorbid hazardous alcohol consumption patterns and depressive symptoms. In study 1, a systematic literature search was conducted to identify evidence-based e-health interventions for depressive symptoms. Interventions were considered for further inspection if studies provided evidence for at least small intervention effects and if the interventions were accessible to at least selected groups of individuals. For study 2, 2773 consecutive HCPs were screened for hazardous drinking and depressive symptoms. Of the 41 HCPs who were offered to participate in the study, 27 (65.9%) consented. To investigate the importance of the sample selection when preliminary testing interventions, HCPs were compared to media recruited volunteers (MVs). Over a period of 6 months, study participants received 6 individualized counselling letters and weekly short messages. Pre-post data were analyzed for 30 participants (15 HCPs, 15 MVs). Intervention acceptability was assessed in post-intervention interviews conducted with 32 study participants. In study 3, cross-sectional data of 506 (80.4% male) individuals aged 14 to 64 years with a history of gambling problems were analyzed. Associations between the rumination subfactors and SPGs across different levels of problem gambling severity were investigated by means of sequential quantile regression.
Results: In study 1, 37 publicly accessible evidence-based e-health interventions for depressive symptoms were identified. Most interventions (81.1%) were available in English. For the German language area, only 3 interventions were identified. In study 2, HCPs and MVs reduced regular binge drinking (HCPs: p = 0.016; MVs: p = 0.031) and depressiveness (HCPs: p = 0.020; MVs: p < 0.001). MVs further reduced average daily consumption (p = 0.034). Both subsamples rated the intervention positive. Compared to HCPs, MVs rated the alcohol module more favorably (p = 0.012). Intervention usage was higher in MVs than in HCPs (p = 0.013). Study 3 showed that at the median, ruminative brooding was positively associated with the severity of problem gambling after controlling for covariates (p = 0.005). Along the distribution of problem gambling severity, findings did hold for all but the lowest severity level. Ruminative reflection was not associated with problem gambling severity at the median (p = 0.347).
Conclusions: E-health interventions show great potential in the treatment and prevention of depressive symptoms and addictive behaviors. However, more research is needed to clarify how to make the most of this potential. Important questions that remain to be answered include, for example, how to best provide e-health interventions to those in need or how to design interventions in order to maximize their reach and thus their public health impact. This thesis showed that 1) publicly accessible evidence-based e-health interventions for depressive symptoms were available. However, the supply in the German language area was low. 2) The computer-based expert system intervention targeting hazardous alcohol consumption and depressive symptoms was technically and logistically feasible, acceptable, and may have the potential to reduce hazardous drinking and depressive symptoms in different populations, including populations unselected in terms of their motivation to change. To avoid biased conclusions about the potential of interventions, intervention developers should preliminary test interventions on intended target populations. 3) Rumination might be important in the development and maintenance of addictive behaviors. With its relations to depression and addictive behaviors, it should be considered as a target for future combined interventions.
Abstract
Background
Comorbidities in mental disorders are often understood by assuming a common cause. The network theory of mental disorders offers an alternative to this assumption by understanding comorbidities as mutually reinforced problems. In this study, we used network analysis to examine bridge symptoms between anxiety and depression in a large sample.
Method
Using data from a sample of patients diagnosed with both depression and an anxiety disorder before and after inpatient treatment (N = 5,614, mean age: 42.24, 63.59% female, average treatment duration: 48.12 days), network models of depression and anxiety symptoms are estimated. Topology, the centrality of nodes, stability, and changes in network structure are analyzed. Symptoms that drive comorbidity are determined by bridge node analysis. As an alternative to network communities based on categorical diagnosis, we performed a community analysis and propose empirically derived symptom subsets.
Results
The obtained network models are highly stable. Sad mood and the inability to control worry are the most central. Psychomotor agitation or retardation is the strongest bridge node between anxiety and depression, followed by concentration problems and restlessness. Changes in appetite and suicidality were unique to depression. Community analysis revealed four symptom groups.
Conclusion
The estimated network structure of depression and anxiety symptoms proves to be highly accurate. Results indicate that some symptoms are considerably more influential than others and that only a small number of predominantly physical symptoms are strong candidates for explaining comorbidity. Future studies should include physiological measures in network models to provide a more accurate understanding.
Background: Interpersonal skills deficits and dysfunctional metacognitive beliefs have been implicated in the etiology and maintenance of depression. This study aimed to investigate the association between changes in these skills deficits and change in depressive symptoms over the course of treatment with Cognitive Behavioral Analysis System of Psychotherapy (CBASP) and Metacognitive Therapy (MCT).
Methods: In this prospective, parallel group observational study, data was collected at baseline and after 8 weeks of an intensive day clinic psychotherapy program. Based on a shared decision between patients and clinicians, patients received either CBASP or MCT. Ninety patients were included in the analyses (CBASP: age M = 38.7, 40.5% female, MCT: age M = 44.7, 43.3% female). Interpersonal deficits were assessed with the short-form of the Luebeck Questionnaire for Recording Preoperational Thinking (LQPT-SF) and the Impact Message Inventory (IMI-R). Metacognitive beliefs were assessed with the Metacognition Questionnaire-30 (MCQ-30). The Quick Inventory of Depressive Symptomatology (QIDS-SR16) was utilized to assess depressive symptoms. A regression analysis was conducted to assess variables associated with outcome. ANCOVAs were utilized to investigate whether improvement in skills deficits is dependent on type of treatment received.
Results: Improvements in preoperational thinking and increases in friendly-dominant behavior were associated with change in depressive symptoms. There was no association between reductions in dysfunctional metacognitive beliefs and a decrease in depressive symptoms. While both treatment groups showed significant improvements in interpersonal and metacognitive skills, there was no significant between-group difference in the change scores for either of these skills.
Conclusion: Our findings suggest that changes in interpersonal skills seem to be of particular relevance in the treatment of depression. These results have to be replicated in a randomized-controlled design before firm conclusions can be drawn.
Background: Depression is a highly prevalent mental disorder, but only a fraction of those affected receive evidence-based treatments. Recently, Internet-based interventions were introduced as an efficacious and cost-effective approach. However, even though depression is a heterogenous construct, effects of treatments have mostly been determined using aggregated symptom scores. This carries the risk of concealing important effects and working mechanisms of those treatments.
Methods: In this study, we analyze outcome and long-term follow-up data from the EVIDENT study, a large (N = 1,013) randomized-controlled trial comparing an Internet intervention for depression (Deprexis) with care as usual. We use Network Intervention Analysis to examine the symptom-specific effects of the intervention. Using data from intermediary and long-term assessments that have been conducted over 36 months, we intend to reveal how the treatment effects unfold sequentially and are maintained.
Results: Item-level analysis showed that scale-level effects can be explained by small item-level effects on most depressive symptoms at all points of assessment. Higher scores on these items at baseline predicted overall symptom reduction throughout the whole assessment period. Network intervention analysis offered insights into potential working mechanisms: while deprexis directly affected certain symptoms of depression (e.g., worthlessness and fatigue) and certain aspects of the quality of life (e.g., overall impairment through emotional problems), other domains were affected indirectly (e.g., depressed mood and concentration as well as activity level). The configuration of direct and indirect effects replicates previous findings from another study examining the same intervention.
Conclusions: Internet interventions for depression are not only effective in the short term, but also exert long-term effects. Their effects are likely to affect only a small subset of problems. Patients reporting these problems are likely to benefit more from the intervention. Future studies on online interventions should examine symptom-specific effects as they potentially reveal the potential of treatment tailoring.
Clinical Trial Registration: ClinicalTrials.gov, Identifier: NCT02178631.
Abstract
Purpose
Depressive disorders in children and adolescents have an enormous impact on their general quality of life. There is a clear need to effectively treat depression in this age group. Effects of psychotherapy can be enhanced by involving caregivers. In our systematic review and meta‐analysis, we examine for the first time the effects of caregiver involvement in depression‐specific interventions for children and adolescents.
Methods
We included randomized controlled trials examining the effects of interventions for children and adolescents with depression involving their caregivers or families compared to interventions without including caregivers. Primary outcome was the severity of childhood and adolescent depression.
Results
Overall, 19 randomized controlled trials could be included (N = 1553) that were highly heterogeneous regarding outcome measures or the extent of caregiver integration. We were able to include k = 17 studies in our meta‐analysis and find a small but significant effect for family‐involved interventions against active control conditions without family‐involvement at post intervention (α = 0.05, d = 0.34; [0.07; 0.60]; p = .01).
Conclusions
We detected an overall significant but small effect of family/caregivers’ involvement compared to control groups without it. Structured, guideline‐based research is urgently needed to identify for which children/adolescents with depression, under what circumstances, and in what form the family should be effectively involved in their psychotherapy.
This study aims to describe social network and social participation and to assess associations with depressive symptoms in older persons with increased risk for dementia in Germany. We conducted a cross-sectional observational study in primary care patients (aged 60–77) as part of a multicenter cluster-randomized controlled trial (AgeWell.de). We present descriptive and multivariate analyses for social networks (Lubben Social Network Scale and subscales) and social participation (item list of social activities) and analyze associations of these variables with depressive symptoms (Geriatric Depression Scale). Of 1030 included patients, 17.2% were at risk for social isolation (Lubben Social Network Scale < 12). Looking at the subscales, a reduced non-family network was found almost twice as often as a reduced family network. Patients with depressive symptoms had significantly smaller social networks than patients without depression (p < 0.001). They rather engaged in social activities of low involvement level or no weekly social activity at all (p < 0.001). The study shows associations of depressive symptoms with a decreased social network and less social participation in elderly participants. Sufficient non-family contacts and weekly social activities seem to play an important role in mental health and should be encouraged in elderly primary care patients.