Identifying central negative thoughts through experience sampling and network analysis: Longitudinal Observational Study (Preprint)

• DOI: 10.2196/preprints.45672
• Publication Date: 2023-01-12T13:50:30Z
• Authors: Stefan Marian; Florin Alin Sava
• Keywords: Depression

<sec> <title>UNSTRUCTURED</title> Network analysis has promised to inform clinical practice about what should be prioritised in the treatment of different psychological disorders. However, pure phenomenological approach that network adopted didn’t help make considerable advancements towards this goal. We propose a theoretical based on cognitive model psychopathology. More specifically, we identified most common negative thoughts preliminary study and then monitored them alongside symptoms anxiety depression sample undergraduate students 3 times per day for weeks. Results indicated have high bridge outdegree temporal (predict occurrence symptoms), while (are predicted by thoughts). Adopting proven useful providing concrete targets therapy instead just identifying central symptoms, as it is typically done studies. Thoughts related self-criticism, like “There’s something wrong with me”, were both could considered priority interventions. Future studies also consider adopting an psychotherapeutic theory aetiology </sec>