Recover recovery style from psychosis: a psychometric evaluation of the German version of the Recovery Style Questionnaire (RSQ)

The cognitive model of negative symptoms: a systematic review and meta-analysis of the dysfunctional belief systems associated with negative symptoms in schizophrenia spectrum disorders

BACKGROUND

The hypothesized cognitive model of negative symptoms, proposed nearly twenty years ago, is the most prevalent psychological framework for conceptualizing negative symptoms in schizophrenia spectrum disorders (SSDs). The aim of this study was to comprehensively validate the model for the first time, specifically by quantifying the relationships between negative symptom severity and all related dysfunctional beliefs.

METHODS

A systematic search was conducted using MEDLINE and PsychINFO, supplemented by manual reviews of reference lists and Google Scholar. Eligible studies were peer-reviewed with data on the direct cross-sectional association between negative symptoms and at least one relevant dysfunctional belief in SSD patients. Screening and data extraction were completed by independent reviewers. Random-effects meta-analyses were performed to pool effect size estimates of z-transformed Pearson's r correlations. Moderators of these relationships, as well as subset analyses for negative symptom domains and measurement instruments, were also assessed.

RESULTS

Significant effects emerged for the relationships between negative symptoms and defeatist performance beliefs (k = 38, n = 2808), r = 0.23 (95% CI, 0.18-0.27), asocial beliefs (k = 8, n = 578), r = 0.21 (95% CI, 0.12-0.28), low expectancies for success (k = 55, n = 5664), r = -0.21 (95% CI, -0.15 - -0.26), low expectancies for pleasure (k = 5, n = 249), r = -0.19 (95% CI, -0.06 - -0.31), and internalized stigma (k = 81, n = 9766), r = 0.17 (95% CI, 0.12-0.22), but not perception of limited resources (k = 10, n = 463), r = 0.08 (95% CI, -0.13 - 0.27).

CONCLUSIONS

This meta-analysis provides support for the cognitive model of negative symptoms. The identification of specific dysfunctional beliefs associated with negative symptoms is essential for the development of precision-based cognitive-behavioral interventions.

Clinical and psychological factors associated with resilience in patients with schizophrenia: data from the Italian network for research on psychoses using machine learning

BACKGROUND

Resilience is defined as the ability to modify thoughts to cope with stressful events. Patients with schizophrenia (SCZ) having higher resilience (HR) levels show less severe symptoms and better real-life functioning. However, the clinical factors contributing to determine resilience levels in patients remain unclear. Thus, based on psychological, historical, clinical and environmental variables, we built a supervised machine learning algorithm to classify patients with HR or lower resilience (LR).

METHODS

SCZ from the Italian Network for Research on Psychoses (N = 598 in the Discovery sample, N = 298 in the Validation sample) underwent historical, clinical, psychological, environmental and resilience assessments. A Support Vector Machine algorithm (based on 85 variables extracted from the above-mentioned assessments) was built in the Discovery sample, and replicated in the Validation sample, to classify between HR and LR patients, within a nested, Leave-Site-Out Cross-Validation framework. We then investigated whether algorithm decision scores were associated with the cognitive and clinical characteristics of patients.

RESULTS

The algorithm classified patients as HR or LR with a Balanced Accuracy of 74.5% (p < 0.0001) in the Discovery sample, and 80.2% in the Validation sample. Higher self-esteem, larger social network and use of adaptive coping strategies were the variables most frequently chosen by the algorithm to generate decisions. Correlations between algorithm decision scores, socio-cognitive abilities, and symptom severity were significant (pFDR < 0.05).

CONCLUSIONS

We identified an accurate, meaningful and generalizable clinical-psychological signature associated with resilience in SCZ. This study delivers relevant information regarding psychological and clinical factors that non-pharmacological interventions could target in schizophrenia.

The Complex Interplay Between Physical Activity and Recovery Styles in Patients With Severe Mental Disorders in a Real-World Multicentric Study

Compared with the general population, people with severe mental disorders have significantly worse physical health and a higher mortality rate, which is partially due to the adoption of unhealthy lifestyle behaviors, such as heavy smoking, use of alcohol or illicit drugs, unbalanced diet, and physical inactivity. These unhealthy behaviors may also play a significant role in the personal and functional recovery of patients with severe mental disorders, although this relationship has been rarely investigated in methodologically robust studies. In this paper, we aim to: a) describe the levels of physical activity and recovery style in a sample of patients with severe mental disorders; b) identify the clinical, social, and illness-related factors that predict the likelihood of patients performing physical activity. The global sample consists of 401 patients, with a main psychiatric diagnosis of bipolar disorder (43.4%, N = 174), psychosis spectrum disorder (29.7%; N = 119), or major depression (26.9%; N = 118). 29.4% (N = 119) of patients reported performing physical activity regularly, most frequently walking (52.1%, N = 62), going to the gym (21.8%, N = 26), and running (10.9%, N = 13). Only 15 patients (3.7%) performed at least 75 min of vigorous physical activity per week. 46.8% of patients adopted sealing over as a recovery style and 37.9% used a mixed style toward integration. Recovery style is influenced by gender (p < 0.05) and age (p < 0.05). The probability to practice regular physical activity is higher in patients with metabolic syndrome (Odds Ratio - OR: 2.1; Confidence Interval - CI 95%: 1.2-3.5; p < 0.050), and significantly lower in those with higher levels of anxiety/depressive symptoms (OR: 0.877; CI 95%: 0.771-0.998; p < 0.01). Globally, patients with severe mental disorders report low levels of physical activities, which are associated with poor recovery styles. Psychoeducational interventions aimed at increasing patients' motivation to adopt healthy lifestyle behaviors and modifying recovery styles may improve the physical health of people with severe mental disorders thus reducing the mortality rates.

Personal Recovery in People With a Psychotic Disorder: A Systematic Review and Meta-Analysis of Associated Factors

Background: Personal recovery (PR) is a subjective, multidimensional concept, and quantitative research using PR as an outcome is rapidly increasing. This systematic review is intended to support the design of interventions that contribute to PR in psychotic disorders, by providing an overview of associated factors and their weighted importance to PR: clinical factors, social factors, and socio-demographic characteristics are included, and factors related to the concept of PR (organized into CHIME dimensions). Methods: A systematic literature search was conducted from inception to March 2020. Quantitative studies that had used a validated questionnaire assessing the concept of PR were included. Mean effect sizes for the relationship between PR-scale total scores and related factors were calculated using meta-analyses. Sources of heterogeneity were examined using meta-regression tests. Results: Forty-six studies, that used (a total of) eight PR measures, showed that in clinical factors, affective symptoms had a medium negative association with PR-scale total scores (r = -0.44, 95%CI -0.50 to -0.37), while positive, negative and general symptoms had small negative correlations. No association was found with neuro-cognition. Social factors (support, work and housing, and functioning) showed small positive correlations. Gender and age differences had barely been researched. Large associations were found for PR-scale total scores with the CHIME dimensions hope (r = 0.56, 95%CI 0.48-0.63), meaning in life (r = 0.48, 95%CI 0.38-0.58) and empowerment (r = 0.53, 95%CI 0.42-0.63); while medium associations were found with connectedness (r = 0.34, 95%CI 0.43-0.65) and identity (r = 0.43, 95%CI 0.35-0.50). Levels of heterogeneity were high, sources included: the variety of PR measures, variations in sample characteristics, publication bias, variations in outcome measures, and cultural differences. Discussion: Most interventions in mental healthcare aim to reduce symptoms and improve functioning. With regard to stimulating PR, these interventions may benefit from also focusing on enhancing hope, empowerment, and meaning in life. The strength of these findings is limited by the challenges of comparing separate CHIME dimensions with questionnaires assessing the concept of PR, and by the high levels of heterogeneity observed. Future research should focus on the interaction between elements of PR and clinical and social factors over time.

Assessing metacognitive and help-seeking strategies in schizophrenia: design and psychometric validation of the Versailles Metacognitive Strategies Evaluation Questionnaire

OBJECTIVES

The aim of this study is to design a questionnaire, the Versailles Metacognitive Strategies Evaluation Questionnaire, for assessing the use of metacognitive and help-seeking strategies in three key-domains of impaired daily functioning in schizophrenia. To evaluate its psychometric properties (internal consistency, factor structure, convergent and divergent validity, and stability).

DESIGN

Development of a questionnaire and psychometric validation procedure in patients with schizophrenia compared with healthy controls. Stability over one year was assessed in the patient group.

SETTING

Schizophrenia Centers of Expertise (French FondaMental Network).

SUBJECTS

A total of 141 patients with schizophrenia, among whom 77 participated in the second evaluation; 97 healthy subjects.

MAIN MEASURES

The Versailles Metacognitive Strategies Evaluation Questionnaire, Positive and Negative Symptoms Scale, Personal and Social Performance Scale, Evaluation of Cognitive Processes involved in Disability in Schizophrenia Scale, Schizophrenia Quality of Life Questionnaire, and Stages of Recovery Instrument.

RESULTS

From the 36-items version, stepwise exploratory factor analysis (oblimin) produced a 25-items scale which had a 3-factors structure (hygiene concern, social relationships, and hygiene help-seeking). Cronbach's were respectively equal to 0.91, 0.82, and 0.78. One-year stability was good (intra-class correlation coefficient = 0.7). The three factors showed good convergent validity with measures of quality of life (rho = 0.34, P ⩽ 0.001). The first two factors correlated with recovery (N = 34, rho = 0.53, P ⩽ 0.001). On the contrary, the factors exhibited divergent validity, with no significant correlation, with symptoms and cognitive and psychosocial functioning (P > 0.05). Factor structure in healthy controls did not match with that of patients, all items but one were found significantly different among groups.

CONCLUSION

The Versailles Metacognitive Strategies Evaluation Questionnaire provides a simple and valid means to assess metacognitive strategies in individuals with schizophrenia.