Transdiagnostic clustering of self-schema from self-referential judgements identifies subtypes of healthy personality and depression.

Introduction: The heterogeneity of depressive and anxiety disorders complicates clinical management as it may account for differences in trajectory and treatment response. Self-schemas, which can be determined by Self-Referential Judgements (SRJs), are heterogeneous yet stable. SRJs have been used to characterize personality in the general population and shown to be prognostic in depressive and anxiety disorders. Methods: In this study, we used SRJs from a Self-Referential Encoding Task (SRET) to identify clusters from a clinical sample of 119 patients recruited from the Institute of Mental Health presenting with depressive or anxiety symptoms and a non-clinical sample of 115 healthy adults. The generated clusters were examined in terms of most endorsed words, cross-sample correspondence, association with depressive symptoms and the Depressive Experiences Questionnaire and diagnostic category. Results: We identify a 5-cluster solution in each sample and a 7-cluster solution in the combined sample. When perturbed, metrics such as optimum cluster number, criterion value, likelihood, DBI and CHI remained stable and cluster centers appeared stable when using BIC or ICL as criteria. Top endorsed words in clusters were meaningful across theoretical frameworks from personality, psychodynamic concepts of relatedness and self-definition, and valence in self-referential processing. The clinical clusters were labeled "Neurotic" (C1), "Extraverted" (C2), "Anxious to please" (C3), "Self-critical" (C4), "Conscientious" (C5). The non-clinical clusters were labeled "Self-confident" (N1), "Low endorsement" (N2), "Non-neurotic" (N3), "Neurotic" (N4), "High endorsement" (N5). The combined clusters were labeled "Self-confident" (NC1), "Externalising" (NC2), "Neurotic" (NC3), "Secure" (NC4), "Low endorsement" (NC5), "High endorsement" (NC6), "Self-critical" (NC7). Cluster differences were observed in endorsement of positive and negative words, latency biases, recall biases, depressive symptoms, frequency of depressive disorders and self-criticism. Discussion: Overall, clusters endorsing more negative words tended to endorse fewer positive words, showed more negative biases in reaction time and negative recall bias, reported more severe depressive symptoms and a higher frequency of depressive disorders and more self-criticism in the clinical population. SRJ-based clustering represents a novel transdiagnostic framework for subgrouping patients with depressive and anxiety symptoms that may support the future translation of the science of self-referential processing, personality and psychodynamic concepts of self-definition to clinical applications.

Positive mental health in psychotherapy: a qualitative study from psychotherapists' perspectives.

BACKGROUND: There is growing evidence in the literature on the use of positive mental health (PMH) interventions among clinical samples. This qualitative study aims to explore the definitions of PMH from psychotherapists' perspectives, and to examine views and attitudes related to the construct. METHODS: Focus group discussions were conducted with psychotherapists at a tertiary psychiatric institute. Focus group sessions were transcribed verbatim and transcripts were analyzed using an inductive thematic approach. RESULTS: Five themes related to psychotherapists' definition of PMH were identified: (1) acceptance; (2) normal functioning and thriving in life; (3) resilience; (4) positive overall evaluation of life; (5) absence of negative emotions and presence of positive emotion states. Themes related to views and attitudes towards PMH were: (1) novel and valuable for psychotherapy; (2) reservations with terminology; (3) factors influencing PMH. CONCLUSION: PMH in psychotherapy is a multidimensional concept that means more than symptom management and distress reduction in clients. There is potential value for its application in psychotherapy practice, though some concerns need to be addressed before it can be well integrated.

"We Are All Trying to Find a Way to Help Ourselves": A Look at Self-Help Strategies Among Psychotherapy Clients.

Objective: This study examined self-help strategies engaged by psychotherapy clients and explored their views on such self-help approach. Methods: Secondary analysis of data from a qualitative research study was conducted. A total of 15 psychotherapy clients were recruited, and data were collected via semi-structured interviews. Thematic analysis of data was conducted using inductive approach to examine the content. Results: Three main themes revolving around self-help strategies were identified: (1) types of self-help strategies, (2) reasons for engaging in self-help activities, and (3) effectiveness of self-help strategies. Conclusion: The self-help approach to manage distress is common among psychotherapy clients. This study provided insights into understanding how and why clients use self-help strategies in their daily lives.