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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.
Hohe Komorbiditätsraten deuten auf eine Überspezifikation deskriptiver diagnostischer Kategorien psychischer Störungen hin. Angststörungen und depressive Störungen sind mit einer Dysregulation zweier aktivierender körperlicher Regelsystemen, dem autonome Nervensystem und der hormonellen Stressachse assoziiert. In der aktuellen Untersuchung werden Kategorien von Patienten mit Angst- und depressiver Symptomatik hinsichtlich Herzratenvariabilität (HRV) als Marker des autonomen Nervensystems und 24h-Urincortisol als Indikator des hormonellen Systems verglichen. Diagnoseübergreifend werden Biomarker und Psychopathologieselbstberichte dimensional in Beziehung gesetzt. Die Rolle von Bewegungsverhalten, Erkrankungsdauer, Medikation sowie Alkohol- und Nikotinkonsum wird berücksichtigt. Bei den 217 untersuchten Patienten einer universitären Psychotherapieambulanz, 80% davon mit primären Angst- oder depressiven Störungen, wird einmalig vor Therapiebeginn HRV und 24h-Urincortisol erhoben. Die Ergebnisse zeigen, dass die berichtete Symptomatik in ihrer Störungsspezifizität nur bedingt mit den jeweils vergebenen Diagnosen in Übereinstimmung zu bringen ist. Patienten mit Angststörungen ohne komorbide Depression wiesen eine höhere HRV auf als Patienten mit depressiven Störungen bzw. gemischter Symptomatik. Hinsichtlich Urincortisol gab es keine Gruppenunterschiede zwischen den Diagnoseclustern. Dimensional ergeben sich positive Assoziationen zwischen Traitangst und Urincortisol. Die HRV ist negativ mit anhedonischer depressiver Symptomatik assoziiert. Medizierte Patienten hatten im Vergleich zu unmedizierten eine reduzierte HRV, diese Gruppenunterschiede konnten jedoch statistisch durch Altersunterschiede zwischen den Gruppen erklärt werden. Werden nur unmedizierte Patienten berücksichtigt, verlieren Gruppenunterschiede zwischen den Diagnoseclustern hinsichtlich der HRV ihre statistische Signifikanz. Dimensionale Zusammenhänge zwischen den Biomarkern und Psychopathologie bleiben bestehen. Bewegungsverhalten ist negativ mit Psychopathologie und Erkrankungsdauer, aber positiv mit HRV assoziiert. Die Ergebnisse werden hinsichtlich der besonderen Bedeutung von Bewegungsverhalten für Psychopathologie sowie die unterliegenden biologischen Prozesse diskutiert. Darüberhinaus geben sie Hinweise darauf, dass dimensionale Diagnostik psychopathologierelevante biologische Prozesse besser abbildet als kategoriale Diagnostik.
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.
Given the increasing prevalence of chronic kidney disease (CKD) and its impact on health care, it is important to better understand the multiple factors influencing health-related quality of life (HRQOL), particularly since they have been shown to affect CKD outcomes. Determinants of HRQOL as measured by the validated Kidney Disease Quality of Life questionnaire (KDQOL) and the Patient Health Questionnaire depression screener (PHQ-9) were assessed in a routine CKD patient sample, the Greifswald Approach to Individualized Medicine (GANI_MED) renal cohort (N = 160), including a wide range of self-reported data, sociodemographic and laboratory measures. Compared to the general population, CKD patients had lower HRQOL indices. Dialysis was associated with (1) low levels of physical functioning, (2) increased impairments by symptoms and problems, and (3) more effects and burden of kidney disease. HRQOL is seriously affected in CKD patients. However, impairments were found irrespective of eGFR decline and albuminuria. Rather, the comorbid conditions of depression and diabetes predicted a lower HRQOL (physical component score). Further studies should address whether recognizing and treating depression may not only improve HRQOL but also promote survival and lower hospitalization rates of CKD patients.
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: 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.
Background: Only approximately a third of people with depressive symptoms seek professional health care. Furthermore, people labelled as mentally ill may experience stigmatisation, which can impede help-seeking behaviour.
Aim: To examine the effects of three vignette-based interventions endorsing biopsychosocial causal beliefs and strengthening self-efficacy on help-seeking intention and behaviour, as well as the predictive values of these variables and previous treatment experience.
Method: A quasi-experimental online study utilising a fractioned factorial design was carried out. People were screened for depressive symptoms and their current treatment status. After baseline assessment, they were randomly allocated into one of 24 groups receiving a combination of interventional messages. Actual help-seeking behaviour was measured at follow-ups 3 and 6 months after baseline.
Results: Altogether, N = 1,368 participants were included in the final analyses and N = 983 provided data on their help-seeking behaviour within 3 to 6 months after the baseline assessment. The intention to seek help from a general practitioner or a mental health professional was significantly influenced by the interventions. However, help-seeking behaviour was not influenced by the interventions. On a conceptual level, biopsychosocial causal beliefs (β = 0.09–0.23) and self-efficacy to seek help (β = 0.16–0.25) predicted help-seeking intention. There was a negative interaction effect of both self-efficacy beliefs on intention and behaviour, which changed depending on depression severity. In all models, the intention was the main predictor of actual behaviour. Treatment experience predicted both help-seeking intention and behaviour.
Conclusion: Biopsychosocial causal beliefs and self-efficacy have a direct effect on help-seeking intention. Interventions should include information on how to actually seek help as a means to strengthen self-efficacy beliefs and simulate previous treatment experience. Further research is needed to investigate the respective interaction effects on intention and behaviour.
Clinical Trial Registration: https://drks.de/search/de/trial/DRKS00023557, German Clinical Trials Register: DRKS00023557. Registered 11 December 2020. World Health Organization, Universal Trial Number: U1111–1264-9954. Registered 16 February 2021.
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.