A cognitive approach to understanding mood swings and bipolar disorders is provided, with the interpretation of changes in internal state as a central explanatory factor. The model explains how attempts at affect regulation are disturbed through the multiple and conflicting extreme personal meanings that are given to internal states. They prompt exaggerated efforts to enhance or exert control over internal states, which paradoxically provoke further internal state changes, thereby feeding into a vicious cycle that can maintain or exacerbate symptoms. Counterproductive attempts at control are classified as either ascent behaviours (increasing activation), or descent behaviours (decreasing activation). It is suggested that appraisals of extreme personal meaning are influenced by specific sets of beliefs about affect and its regulation, and about the self and relations with others, leading to an interaction that raises vulnerability to relapse. Pertinent literature is reviewed and found to be compatible with such a model. The clinical implications are discussed and compared to existing interventions.

BackgroundThe use of conversational agent interventions (including chatbots and robots) in mental health is growing at a fast pace. Recent existing reviews have focused exclusively on a subset of embodied conversational agent interventions despite other modalities aiming to achieve the common goal of improved mental health.ObjectiveThis study aimed to review the use of conversational agent interventions in the treatment of mental health problems.MethodsWe performed a systematic search using relevant databases (MEDLINE, EMBASE, PsycINFO, Web of Science, and Cochrane library). Studies that reported on an autonomous conversational agent that simulated conversation and reported on a mental health outcome were included.ResultsA total of 13 studies were included in the review. Among them, 4 full-scale randomized controlled trials (RCTs) were included. The rest were feasibility, pilot RCTs and quasi-experimental studies. Interventions were diverse in design and targeted a range of mental health problems using a wide variety of therapeutic orientations. All included studies reported reductions in psychological distress postintervention. Furthermore, 5 controlled studies demonstrated significant reductions in psychological distress compared with inactive control groups. In addition, 3 controlled studies comparing interventions with active control groups failed to demonstrate superior effects. Broader utility in promoting well-being in nonclinical populations was unclear.ConclusionsThe efficacy and acceptability of conversational agent interventions for mental health problems are promising. However, a more robust experimental design is required to demonstrate efficacy and efficiency. A focus on streamlining interventions, demonstrating equivalence to other treatment modalities, and elucidating mechanisms of action has the potential to increase acceptance by users and clinicians and maximize reach.

Inequalities in the provision of psychological therapies for schizophrenia persist. Good quality cognitive behavioural therapy and FI training do not ensure implementation. Collaboration at all levels of healthcare is needed for effective implementation.

A familial high-risk strategy for studying the role of psychological factors in BD is feasible and informative. This pilot study indicates that abnormal coping styles, instability of self-esteem and dysregulation of sleep may be early markers of bipolar illness. However, current findings need to be explored further in longitudinal studies to clarify which potential markers are truly predictive of BD.

Instability of self-esteem and affect is present in bipolar patients, even when their symptoms are in remission, and has previously been found in people at genetic risk of the disorder. It may be a marker of vulnerability to the disorder.