![]() ![]() For example, depression is best predicted by thoughts related to personal failure or loss, anxiety is predicted by automatic thoughts of social threat or negative evaluation, and externalising symptoms are best predicted by thoughts related to hostility and revenge (Schniering & Rapee, 2004). Schniering and Rapee ( 2004) also showed that NAT led to psychopathological symptoms and that these pathways are content-specific. Another study showed that NAT mediates the influence of self-compassion and childhood maltreatment on the development of depression and anxiety (Hou et al., 2020). For instance, Flouri and Panourgia ( 2014) have shown that negative automatic thoughts (NAT) mediate the relationship between life stress and emotional and behavioural problems. Plenty of empirical research supports this core theoretical assumption in cognitive therapy. Negative automatic thoughts are ubiquitous in mental disorders and are responsible for the associated emotional distress of mental disorders. In the above example, “I did a terrible job” is called in Cognitive-Behavioural Therapy (CBT) an automatic negative thought, which is simply an immediate cognitive response to an event (e.g., a situation, an emotion, or a body sensation). Alternatively, someone in a similar situation could think, “I will do better next time”, and have a completely different experience. Thus, sadness is not a direct response to the event per se but a consequence of the appraisal of the event as “terrible”. For example, after failing a task, one could think, “I did a terrible job”, and feel sad because of evaluating the situation as “terrible”. Future network studies could also consider adopting an approach based on a psychotherapeutic theory about the aetiology of psychopathology.Īccording to the cognitive theory of psychopathology, people’s reactions to events are mediated by thoughts and beliefs or, otherwise said, by their perception of events (Beck, 2011, pp. ConclusionsĪdopting a theoretical approach has proven helpful in providing concrete targets for therapy instead of just identifying central symptoms, as it is typically done in network studies. Thoughts related to self-criticism, like “There is something wrong with me”, were the most central for both anxiety and depression and could be considered priority targets for cognitive interventions. Results revealed that negative thoughts have a high bridge outdegree in the temporal network (predict the occurrence of symptoms), while symptoms have a high bridge outdegree (are predicted by thoughts). ![]() In a preliminary study, we identified the most common negative thoughts and then monitored them alongside symptoms of anxiety and depression in a sample of undergraduate students three times per day for three weeks. We used a multivariate vector-autoregression model to analyse the networks of anxious symptoms, depressive symptoms, and negative automatic thoughts. We propose a theoretical approach based on the cognitive model of psychopathology. However, the pure phenomenological approach adopted by network analysis did not help advance this goal considerably. ![]() Network analysis has promised to inform clinical practice about what should be prioritised in treating different psychological disorders.
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