Impairments in mentalizing, or theory of mind, occur across psychiatric disorders. Static illustrations are widely used to assess mentalizing due to their simplicity, and they allow assessment of specific cognitive processes. However, systematic comparisons of impairments between psychiatric disorders, neurodevelopmental disorders, and at-risk groups in mentalizing tasks with static illustrations are currently lacking.

A systematic review with pairwise and network meta-analyses (NMA) was conducted to evaluate mentalizing impairments using tasks with static illustrations across psychiatric disorders compared to healthy controls (HCs) and between groups. Subgroup analyses examined specific mentalizing domains (false belief, humor, and intentionality), and meta-regression analyses explored potential moderators. The ceiling effects of specific tasks were also examined.

Eighty-nine studies were included, involving 9,038 participants and 11 psychiatric conditions. Significant mentalizing deficits were observed across all conditions versus HCs, except for the familial risk for bipolar disorder group. NMA demonstrated that schizophrenia (g = −0.960) and early schizophrenia (g = −0.785) exhibited the most pronounced impairments, followed by borderline personality disorder (g = −0.612) and obsessive-compulsive disorder (g = −0.613). Particularly, schizophrenia showed significantly greater deficits than autism, bipolar disorder, clinical and familial high risk for schizophrenia, and depression. Domain-specific analyses highlighted differential impairment patterns. The presence of prominent ceiling effects suggests major limitations of tasks with static illustrations.

This review provides detailed insights into transdiagnostic and disorder-specific patterns of mentalizing impairments with tasks using static illustrations. Findings highlight the importance of domain-specific approaches, examining interindividual variability, refining assessment tools, and implementing targeted interventions.

Tobacco smoking is highly prevalent in patients with psychosis, who also often experience negative affect (NA) and stress. The relationship between these factors remains unclear in this population. We aimed to investigate everyday life associations in 158 patients with psychosis, 136 unaffected siblings, and 117 controls from the Genetic Risk and Outcome of Psychosis (GROUP) study with Experience Sampling Method measurements.

Generalized linear mixed models were used to evaluate across time and within-subject associations. Across time analyses investigated the relationship between smoking status and overall NA and stress. Within-subject analyses assessed whether smoking between two measurements (t−1 and t0) was associated with changes in NA and stress at the measurement after smoking a cigarette (t0) and at the subsequent measurement (t+1).

Across assessments, smoking status was initially associated with NA in patients (B=0.26, p=0.036), but this association disappeared after controlling for psychotic symptoms and cannabis use. Within-subject analyses in smokers showed a decrease in NA in patients after smoking (t0: −0.23, p=0.016), which remained significant after correcting for confounders (t0: −0.20, p=0.015). Siblings showed a decrease in NA (t0: −0.22, p=0.009), also after controlling for confounders (t0: −0.14, p=0.018). No time-lagged effect was found at t+1 after correction for subsequent smoking.

Overall smoking behavior was not associated with NA in patients with psychosis. In the short term, smoking in the daily life context is associated with a reduction in NA in people vulnerable to psychosis, possibly due to alleviation of withdrawal symptoms, which may complicate smoking cessation.

In the ultra-high risk for psychosis (UHR) field, it is unknown whether understanding symptom relationships, beyond symptom severity alone, may hold prognostic value and inform preventive care. In this study, network analysis was performed to examine the interconnections between baseline symptoms in UHR youth who did and did not transition to psychosis over three years.

In a sample selected from the UHR1000+ cohort, positive and basic symptoms were assessed using the Comprehensive Assessment of At-Risk Mental States. Network analyses and network comparison tests were performed.

195 UHR youth transitioned to psychosis within three years and 346 did not. The two groups did not differ in the network structure, global strength (i.e., the overall level of connectivity between symptoms), or centrality of symptoms (i.e., their importance within networks). The transitioned group was characterized by unusual thought content not being connected to other symptoms; however, its centrality between networks was comparable. Across networks, impaired cognitive functioning connected disorganized speech to impaired emotional functioning, motor functioning, and tolerance to normal stress. Impaired bodily sensation connected perceptual abnormalities to other symptoms.

The networks of youth who transitioned and who did not transition were similar, indicating similar baseline symptom relationships. Across groups, unusual thought content, despite being traditionally associated with transition, had little to no interactions with other symptoms. Clinical manifestations that may need attention include impaired cognitive functioning, which connected several symptoms, and impaired bodily sensation. Future research using time series data may support progress toward individualized care.