Transdiagnostic cognitive biases in psychiatric disorders: A systematic review and network meta-analysis.

Psychiatric disorders are characterized by cognitive deficits, which have been proposed as a transdiagnostic feature of psychopathology ("C" factor). Similarly, cognitive biases (e.g., in attention, memory, and interpretation) represent common tendencies in information processing that are often associated with psychiatric symptoms. However, the question remains whether cognitive biases are also transdiagnostic or are specific to certain psychiatric disorders/symptoms. The current systematic review sought to address whether the proposed "C" factor of transdiagnostic cognitive dysfunction in psychopathology can be extended to cognitive biases. Overall, 31 studies comprising 4401 participants (2536 patients, 1865 non-clinical controls) met inclusion criteria, assessing 19 cognitive biases across 20 diagnostic categories, with most studies focusing on interpretation (k = 22) and attention (k = 11) biases and only 2 assessing memory biases. Traditional meta-analyses found a moderate effect size (g = 0.32) for more severe cognitive biases in all patients relative to non-clinical controls, as well as small but significant associations between interpretation biases and transdiagnostic symptom categories (general psychopathology: r = 0.20, emotion dysfunction: r = 0.17, psychotic symptoms: r = 0.25). Network meta-analyses revealed significant patient versus non-clinical control differences on attention and interpretation biases across diagnoses, as well as significant differences between diagnoses, with highest severity in panic disorder for attention biases and obsessive-compulsive disorder for interpretation biases. The current findings extend the big "C" interpretation of transdiagnostic cognitive dysfunction in psychiatric disorders to cognitive biases and transdiagnostic symptom dimensions. Results also suggest that while the presence of cognitive biases is transdiagnostic, bias severity differs across diagnoses, as in traditional neurocognitive deficits.

The clinical and psychosocial correlates of self-stigma among people with schizophrenia spectrum disorders across cultures: A systematic review and meta-analysis.

BACKGROUND: Individuals with schizophrenia spectrum disorders (SSD) are at heightened risk of experiencing self-stigma, and some cultures are more stigmatizing towards SSD than others. The first purpose of this review is to provide an estimate of the relationship between self-stigma and clinical and psychosocial outcomes. The second purpose is to examine how these relationships vary across cultures. METHOD: Studies reporting correlations between self-stigma and outcome variable(s) were identified through electronic database searches from June 1, 2021, to January 2, 2022. Mean effect sizes were calculated using Fisher's r-to-Z-transformation. RESULTS: Sixty-three articles (N = 8925, 22 countries) were included in the systematic review and fifty-three articles (N = 7756) were included in the meta-analysis. For the most studied clinical correlates, self-stigma had a moderate, positive correlation with depressive symptoms (r = 0.49, p < .001), a moderate, negative correlation with functioning (r = -0.39, p < .001), and a positive, small correlation with severity of psychotic symptoms (r = 0.29, p < .001), negative symptoms (r = 0.18, p < .001) and positive symptoms (r = 0.13, p = .01). For the most studied psychosocial correlates, self-stigma had a strong, negative correlation with quality of life (r = -0.52, p < .001) and self-esteem (r = -0.55, p < .001). The correlates of self-stigma were similar across cultures. DISCUSSION: Self-stigma shows strong to small correlations with clinical and psychosocial variables similarly across cultures. More research is needed to examine underlying mechanisms to develop effective interventions.