JMIR Form Res
January 2025
Background: There is increasing interest in the development of scalable digital mental health interventions for perinatal populations to increase accessibility. Mobile behavioral activation (BA) is efficacious for the treatment of perinatal depression; however, the effect of comorbid anxiety and depression (CAD) on symptom trajectories remains underexplored. This is important given that at least 10% of women in the perinatal period experience CAD.
View Article and Find Full Text PDFObjective: Cross-sectional network studies find mixed results regarding changes in network structure as a response to treatment across disorders. This study characterized improvement in mental health following Cognitive Processing Therapy (CPT) for PTSD in veterans from the perspective of network psychometrics and explored how cross-sectional networks inform our understanding of PTSD recovery.
Methods: Veterans with PTSD participated in CPT-based intensive treatment programs (ITPs), offered in two-week (N = 635) or three-week (N = 457) formats.
Research suggests a bidirectional association between sleep disturbances and posttraumatic stress disorder (PTSD) symptoms. However, most studies have been conducted with group-level data, which do not necessarily capture the associations between PTSD symptoms and sleep within an individual over time. This study aimed to add to the literature concerning the association between sleep and PTSD and extend these findings to investigate the effect of sleep disturbances on positive affect.
View Article and Find Full Text PDFThe network theory of psychopathology posits that mental disorders are systems of mutually reinforcing symptoms. This framework has proven highly generative but does not specify precisely how any specific mental disorder operates as such a system. Cognitive behavioral theories of mental disorders provide considerable insight into how these systems may operate.
View Article and Find Full Text PDFNetwork approaches to psychopathology have become increasingly common in mental health research, with many theoretical and methodological developments quickly gaining traction. This article illustrates contemporary practices in applying network analytical tools, bridging the gap between network concepts and their empirical applications. We explain how we can use graphs to construct networks representing complex associations among observable psychological variables.
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