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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.
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.